faculty
Manu Setty
msetty@fredhutch.org
Assistant Professor
Fred Hutch
Cancer Biology
Computational Biology
Developmental Biology, Stem Cells & Aging
Computational modeling of lineage decision mechanisms using single-cell data
Faculty Contact Information
Building: Lake Union Steam Plant
Room: S2-117
Box: S2-140
Phone: 206-667-1913
https://www.fredhutch.org/en/faculty-lab-directory/setty-manu.html
Research Summary
We are a multi-disciplinary research group investigating the mechanisms of lineage decisions and cell-fate choices. We approach this fundamental problem by developing computational algorithms that model high-throughput single-cell genomics data using a broad array of machine learning techniques. We strongly believe in collaborative science and work in close conjunction with our collaborators in all aspects spanning experimental design of data collection, data analysis and modeling, and validation experiments.
DEI Statement
We believe that the personal and cultural experiences, in addition to educational background greatly shapes our thinking as individuals and scientists. We strive to create an open environment where there is free-spirited exchange of opinions and ideas. Diversity greatly strengthens the lab and we welcome people of all gender identities, sexual orientations and cultural heritages.
Training Summary
2021: Fearless IDEAs training
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&query_key=1&WebEnv=MCID_616a76e0a5f4af5e272003ae&retmode=json
Resource id #592 -- array(2) {
["header"]=>
array(2) {
["type"]=>
string(8) "esummary"
["version"]=>
string(3) "0.3"
}
["result"]=>
array(23) {
["uids"]=>
array(22) {
[0]=>
string(8) "33558694"
[1]=>
string(8) "33125890"
[2]=>
string(8) "32728248"
[3]=>
string(8) "32042191"
[4]=>
string(8) "31534198"
[5]=>
string(8) "30959515"
[6]=>
string(8) "30926234"
[7]=>
string(8) "30899105"
[8]=>
string(8) "29961579"
[9]=>
string(8) "29768164"
[10]=>
string(8) "27136076"
[11]=>
string(8) "26865277"
[12]=>
string(8) "26390058"
[13]=>
string(8) "26016777"
[14]=>
string(8) "24843176"
[15]=>
string(8) "24056773"
[16]=>
string(8) "23166356"
[17]=>
string(8) "23056544"
[18]=>
string(8) "22929615"
[19]=>
string(8) "21642990"
[20]=>
string(8) "21385049"
[21]=>
string(8) "21151124"
}
[33558694]=>
array(43) {
["uid"]=>
string(8) "33558694"
["pubdate"]=>
string(8) "2021 Mar"
["epubdate"]=>
string(10) "2021 Feb 8"
["source"]=>
string(12) "Nat Neurosci"
["authors"]=>
array(15) {
[0]=>
array(3) {
["name"]=>
string(13) "Guttikonda SR"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(9) "Sikkema L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(8) "Tchieu J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(8) "Saurat N"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(8) "Walsh RM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(12) "Harschnitz O"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(8) "Ciceri G"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(10) "Sneeboer M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(9) "Mazutis L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(7) "Zumbo P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(7) "Betel D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(11) "de Witte LD"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[14]=>
array(3) {
["name"]=>
string(8) "Studer L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(8) "Studer L"
["title"]=>
string(126) "Fully defined human pluripotent stem cell-derived microglia and tri-culture system model C3 production in Alzheimer's disease."
["sorttitle"]=>
string(125) "fully defined human pluripotent stem cell derived microglia and tri culture system model c3 production in alzheimer s disease"
["volume"]=>
string(2) "24"
["issue"]=>
string(1) "3"
["pages"]=>
string(7) "343-354"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9809671"
["issn"]=>
string(9) "1097-6256"
["essn"]=>
string(9) "1546-1726"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "33558694"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(26) "10.1038/s41593-020-00796-z"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(26) "10.1038/s41593-020-00796-z"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC8382543"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(12) "NIHMS1658009"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "33558694"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "33558694"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(47) "pmc-id: PMC8382543;manuscript-id: NIHMS1658009;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2020/03/09 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2020/12/24 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2021/02/10 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2021/03/30 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2021/02/09 06:31"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(7)
["fulljournalname"]=>
string(19) "Nature neuroscience"
["elocationid"]=>
string(31) "doi: 10.1038/s41593-020-00796-z"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2021/03/01 00:00"
["sortfirstauthor"]=>
string(13) "Guttikonda SR"
["vernaculartitle"]=>
string(0) ""
}
[33125890]=>
array(43) {
["uid"]=>
string(8) "33125890"
["pubdate"]=>
string(11) "2020 Oct 29"
["epubdate"]=>
string(0) ""
["source"]=>
string(4) "Cell"
["authors"]=>
array(14) {
[0]=>
array(3) {
["name"]=>
string(7) "Lotto J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(10) "Drissler S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(8) "Cullum R"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(5) "Wei W"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(7) "Bell EM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(9) "Boutet SC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(12) "Nowotschin S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(6) "Kuo YY"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(6) "Garg V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(9) "Church DM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(16) "Hadjantonakis AK"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(11) "Hoodless PA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(11) "Hoodless PA"
["title"]=>
string(107) "Single-Cell Transcriptomics Reveals Early Emergence of Liver Parenchymal and Non-parenchymal Cell Lineages."
["sorttitle"]=>
string(106) "single cell transcriptomics reveals early emergence of liver parenchymal and non parenchymal cell lineages"
["volume"]=>
string(3) "183"
["issue"]=>
string(1) "3"
["pages"]=>
string(11) "702-716.e14"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "0413066"
["issn"]=>
string(9) "0092-8674"
["essn"]=>
string(9) "1097-4172"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(1) "4"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "33125890"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(21) "S0092-8674(20)31153-3"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(26) "10.1016/j.cell.2020.09.012"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC7643810"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(12) "NIHMS1637946"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "33125890"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "33125890"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(47) "pmc-id: PMC7643810;manuscript-id: NIHMS1637946;"
}
}
["history"]=>
array(6) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2020/02/02 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(7) "revised"
["date"]=>
string(16) "2020/07/06 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2020/09/01 00:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2020/10/30 20:08"
}
[4]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2020/10/31 06:00"
}
[5]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2021/05/20 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(2)
["fulljournalname"]=>
string(4) "Cell"
["elocationid"]=>
string(31) "doi: 10.1016/j.cell.2020.09.012"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2020/10/29 00:00"
["sortfirstauthor"]=>
string(7) "Lotto J"
["vernaculartitle"]=>
string(0) ""
}
[32728248]=>
array(43) {
["uid"]=>
string(8) "32728248"
["pubdate"]=>
string(8) "2020 Jul"
["epubdate"]=>
string(11) "2020 Jul 29"
["source"]=>
string(6) "Nature"
["authors"]=>
array(22) {
[0]=>
array(3) {
["name"]=>
string(26) "ENCODE Project Consortium."
["authtype"]=>
string(14) "CollectiveName"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(9) "Snyder MP"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(11) "Gingeras TR"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(8) "Moore JE"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(6) "Weng Z"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(11) "Gerstein MB"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(5) "Ren B"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(11) "Hardison RC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(21) "Stamatoyannopoulos JA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(11) "Graveley BR"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(11) "Feingold EA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(8) "Pazin MJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(7) "Pagan M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(12) "Gilchrist DA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[14]=>
array(3) {
["name"]=>
string(7) "Hitz BC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[15]=>
array(3) {
["name"]=>
string(9) "Cherry JM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[16]=>
array(3) {
["name"]=>
string(12) "Bernstein BE"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[17]=>
array(3) {
["name"]=>
string(13) "Mendenhall EM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[18]=>
array(3) {
["name"]=>
string(10) "Zerbino DR"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[19]=>
array(3) {
["name"]=>
string(10) "Frankish A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[20]=>
array(3) {
["name"]=>
string(8) "Flicek P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[21]=>
array(3) {
["name"]=>
string(8) "Myers RM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(8) "Myers RM"
["title"]=>
string(23) "Perspectives on ENCODE."
["sorttitle"]=>
string(22) "perspectives on encode"
["volume"]=>
string(3) "583"
["issue"]=>
string(4) "7818"
["pages"]=>
string(7) "693-698"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "0410462"
["issn"]=>
string(9) "0028-0836"
["essn"]=>
string(9) "1476-4687"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(7) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "32728248"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(25) "10.1038/s41586-020-2449-8"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(25) "10.1038/s41586-020-2449-8"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC7410827"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "32728248"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "32728248"
}
[6]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(19) "pmc-id: PMC7410827;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2019/12/07 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2020/05/05 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2020/07/31 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2020/07/31 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2020/11/03 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(23)
["fulljournalname"]=>
string(6) "Nature"
["elocationid"]=>
string(30) "doi: 10.1038/s41586-020-2449-8"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2020/07/01 00:00"
["sortfirstauthor"]=>
string(9) "Snyder MP"
["vernaculartitle"]=>
string(0) ""
}
[32042191]=>
array(43) {
["uid"]=>
string(8) "32042191"
["pubdate"]=>
string(8) "2020 Feb"
["epubdate"]=>
string(11) "2020 Feb 10"
["source"]=>
string(7) "Nat Med"
["authors"]=>
array(19) {
[0]=>
array(3) {
["name"]=>
string(11) "Laughney AM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(4) "Hu J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(11) "Campbell NR"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(10) "Bakhoum SF"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(12) "Lavallée VP"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(5) "Xie Y"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(12) "Masilionis I"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(7) "Carr AJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(12) "Kottapalli S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(7) "Allaj V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(8) "Mattar M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(10) "Rekhtman N"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(9) "Xavier JB"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[14]=>
array(3) {
["name"]=>
string(9) "Mazutis L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[15]=>
array(3) {
["name"]=>
string(10) "Poirier JT"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[16]=>
array(3) {
["name"]=>
string(8) "Rudin CM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[17]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[18]=>
array(3) {
["name"]=>
string(11) "Massagué J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(11) "Massagué J"
["title"]=>
string(76) "Regenerative lineages and immune-mediated pruning in lung cancer metastasis."
["sorttitle"]=>
string(75) "regenerative lineages and immune mediated pruning in lung cancer metastasis"
["volume"]=>
string(2) "26"
["issue"]=>
string(1) "2"
["pages"]=>
string(7) "259-269"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9502015"
["issn"]=>
string(9) "1078-8956"
["essn"]=>
string(9) "1546-170X"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "32042191"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(25) "10.1038/s41591-019-0750-6"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(25) "10.1038/s41591-019-0750-6"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC7021003"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(12) "NIHMS1547395"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "32042191"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "32042191"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(47) "pmc-id: PMC7021003;manuscript-id: NIHMS1547395;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2019/05/08 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2019/12/23 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2020/02/12 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2020/04/22 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2020/02/12 06:00"
}
}
["references"]=>
array(1) {
[0]=>
array(4) {
["refsource"]=>
string(33) "Cancer Discov. 2020 Apr;10(4):486"
["reftype"]=>
string(10) "Comment in"
["pmid"]=>
int(32086313)
["note"]=>
string(0) ""
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(57)
["fulljournalname"]=>
string(15) "Nature medicine"
["elocationid"]=>
string(30) "doi: 10.1038/s41591-019-0750-6"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2020/02/01 00:00"
["sortfirstauthor"]=>
string(11) "Laughney AM"
["vernaculartitle"]=>
string(0) ""
}
[31534198]=>
array(43) {
["uid"]=>
string(8) "31534198"
["pubdate"]=>
string(8) "2019 Oct"
["epubdate"]=>
string(0) ""
["source"]=>
string(14) "Nat Biotechnol"
["authors"]=>
array(6) {
[0]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(12) "Kiseliovas V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(8) "Levine J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(8) "Gayoso A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(9) "Mazutis L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(7) "Pe'er D"
["title"]=>
string(97) "Author Correction: Characterization of cell fate probabilities in single-cell data with Palantir."
["sorttitle"]=>
string(95) "author correction characterization of cell fate probabilities in single cell data with palantir"
["volume"]=>
string(2) "37"
["issue"]=>
string(2) "10"
["pages"]=>
string(4) "1237"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9604648"
["issn"]=>
string(9) "1087-0156"
["essn"]=>
string(9) "1546-1696"
["pubtype"]=>
array(1) {
[0]=>
string(17) "Published Erratum"
}
["recordstatus"]=>
string(6) "PubMed"
["pubstatus"]=>
string(1) "4"
["articleids"]=>
array(5) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "31534198"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(25) "10.1038/s41587-019-0282-0"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(25) "10.1038/s41587-019-0282-0"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "31534198"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "31534198"
}
}
["history"]=>
array(3) {
[0]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2019/09/20 06:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2019/09/20 06:01"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2019/09/20 06:00"
}
}
["references"]=>
array(1) {
[0]=>
array(4) {
["refsource"]=>
string(38) "Nat Biotechnol. 2019 Apr;37(4):451-460"
["reftype"]=>
string(11) "Erratum for"
["pmid"]=>
int(30899105)
["note"]=>
string(0) ""
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
string(0) ""
["fulljournalname"]=>
string(20) "Nature biotechnology"
["elocationid"]=>
string(30) "doi: 10.1038/s41587-019-0282-0"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2019/10/01 00:00"
["sortfirstauthor"]=>
string(7) "Setty M"
["vernaculartitle"]=>
string(0) ""
}
[30959515]=>
array(43) {
["uid"]=>
string(8) "30959515"
["pubdate"]=>
string(8) "2019 May"
["epubdate"]=>
string(10) "2019 Apr 8"
["source"]=>
string(6) "Nature"
["authors"]=>
array(14) {
[0]=>
array(3) {
["name"]=>
string(12) "Nowotschin S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(6) "Kuo YY"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(5) "Liu V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(6) "Garg V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(8) "Sharma R"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(8) "Simon CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(6) "Saiz N"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(9) "Gardner R"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(9) "Boutet SC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(9) "Church DM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(11) "Hoodless PA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(16) "Hadjantonakis AK"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(7) "Pe'er D"
["title"]=>
string(75) "The emergent landscape of the mouse gut endoderm at single-cell resolution."
["sorttitle"]=>
string(70) "emergent landscape of the mouse gut endoderm at single cell resolution"
["volume"]=>
string(3) "569"
["issue"]=>
string(4) "7756"
["pages"]=>
string(7) "361-367"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "0410462"
["issn"]=>
string(9) "0028-0836"
["essn"]=>
string(9) "1476-4687"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "30959515"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(25) "10.1038/s41586-019-1127-1"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(25) "10.1038/s41586-019-1127-1"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC6724221"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(12) "NIHMS1046358"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "30959515"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "30959515"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(47) "pmc-id: PMC6724221;manuscript-id: NIHMS1046358;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2018/11/14 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2019/03/29 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2019/04/09 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2020/02/13 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2019/04/09 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(53)
["fulljournalname"]=>
string(6) "Nature"
["elocationid"]=>
string(30) "doi: 10.1038/s41586-019-1127-1"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2019/05/01 00:00"
["sortfirstauthor"]=>
string(12) "Nowotschin S"
["vernaculartitle"]=>
string(0) ""
}
[30926234]=>
array(43) {
["uid"]=>
string(8) "30926234"
["pubdate"]=>
string(11) "2019 Apr 16"
["epubdate"]=>
string(11) "2019 Mar 26"
["source"]=>
string(8) "Immunity"
["authors"]=>
array(11) {
[0]=>
array(3) {
["name"]=>
string(6) "Wei SC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(8) "Sharma R"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(9) "Anang NAS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(9) "Levine JH"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(6) "Zhao Y"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(10) "Mancuso JJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(8) "Sharma P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(6) "Wang J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(10) "Allison JP"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(10) "Allison JP"
["title"]=>
string(105) "Negative Co-stimulation Constrains T Cell Differentiation by Imposing Boundaries on Possible Cell States."
["sorttitle"]=>
string(104) "negative co stimulation constrains t cell differentiation by imposing boundaries on possible cell states"
["volume"]=>
string(2) "50"
["issue"]=>
string(1) "4"
["pages"]=>
string(13) "1084-1098.e10"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9432918"
["issn"]=>
string(9) "1074-7613"
["essn"]=>
string(9) "1097-4180"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "30926234"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(21) "S1074-7613(19)30094-9"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(28) "10.1016/j.immuni.2019.03.004"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC6664799"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(12) "NIHMS1523501"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "30926234"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "30926234"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(47) "pmc-id: PMC6664799;manuscript-id: NIHMS1523501;"
}
}
["history"]=>
array(6) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2018/06/09 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(7) "revised"
["date"]=>
string(16) "2018/12/07 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2019/03/01 00:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2019/03/31 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2019/09/17 06:00"
}
[5]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2019/03/31 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(24)
["fulljournalname"]=>
string(8) "Immunity"
["elocationid"]=>
string(33) "doi: 10.1016/j.immuni.2019.03.004"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2019/04/16 00:00"
["sortfirstauthor"]=>
string(6) "Wei SC"
["vernaculartitle"]=>
string(0) ""
}
[30899105]=>
array(43) {
["uid"]=>
string(8) "30899105"
["pubdate"]=>
string(8) "2019 Apr"
["epubdate"]=>
string(11) "2019 Mar 21"
["source"]=>
string(14) "Nat Biotechnol"
["authors"]=>
array(6) {
[0]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(12) "Kiseliovas V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(8) "Levine J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(8) "Gayoso A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(9) "Mazutis L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(7) "Pe'er D"
["title"]=>
string(78) "Characterization of cell fate probabilities in single-cell data with Palantir."
["sorttitle"]=>
string(77) "characterization of cell fate probabilities in single cell data with palantir"
["volume"]=>
string(2) "37"
["issue"]=>
string(1) "4"
["pages"]=>
string(7) "451-460"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9604648"
["issn"]=>
string(9) "1087-0156"
["essn"]=>
string(9) "1546-1696"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "30899105"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(25) "10.1038/s41587-019-0068-4"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(25) "10.1038/s41587-019-0068-4"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC7549125"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(12) "NIHMS1521379"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "30899105"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "30899105"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(47) "pmc-id: PMC7549125;manuscript-id: NIHMS1521379;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2018/08/05 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2019/02/11 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2019/03/23 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2019/04/24 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2019/03/23 06:00"
}
}
["references"]=>
array(1) {
[0]=>
array(4) {
["refsource"]=>
string(36) "Nat Biotechnol. 2019 Oct;37(10):1237"
["reftype"]=>
string(10) "Erratum in"
["pmid"]=>
int(31534198)
["note"]=>
string(0) ""
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(50)
["fulljournalname"]=>
string(20) "Nature biotechnology"
["elocationid"]=>
string(30) "doi: 10.1038/s41587-019-0068-4"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2019/04/01 00:00"
["sortfirstauthor"]=>
string(7) "Setty M"
["vernaculartitle"]=>
string(0) ""
}
[29961579]=>
array(43) {
["uid"]=>
string(8) "29961579"
["pubdate"]=>
string(11) "2018 Aug 23"
["epubdate"]=>
string(11) "2018 Jun 28"
["source"]=>
string(4) "Cell"
["authors"]=>
array(19) {
[0]=>
array(3) {
["name"]=>
string(7) "Azizi E"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(7) "Carr AJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(8) "Plitas G"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(10) "Cornish AE"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(11) "Konopacki C"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(13) "Prabhakaran S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(8) "Nainys J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(4) "Wu K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(12) "Kiseliovas V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(6) "Choi K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(9) "Fromme RM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(5) "Dao P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(11) "McKenney PT"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[14]=>
array(3) {
["name"]=>
string(8) "Wasti RC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[15]=>
array(3) {
["name"]=>
string(10) "Kadaveru K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[16]=>
array(3) {
["name"]=>
string(9) "Mazutis L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[17]=>
array(3) {
["name"]=>
string(11) "Rudensky AY"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[18]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(7) "Pe'er D"
["title"]=>
string(82) "Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment."
["sorttitle"]=>
string(81) "single cell map of diverse immune phenotypes in the breast tumor microenvironment"
["volume"]=>
string(3) "174"
["issue"]=>
string(1) "5"
["pages"]=>
string(13) "1293-1308.e36"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "0413066"
["issn"]=>
string(9) "0092-8674"
["essn"]=>
string(9) "1097-4172"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "29961579"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(21) "S0092-8674(18)30723-2"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(26) "10.1016/j.cell.2018.05.060"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC6348010"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS977868"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "29961579"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "29961579"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC6348010;manuscript-id: NIHMS977868;"
}
}
["history"]=>
array(6) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2017/11/27 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(7) "revised"
["date"]=>
string(16) "2018/04/02 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2018/05/29 00:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2018/07/03 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2019/05/14 06:00"
}
[5]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2018/07/03 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(370)
["fulljournalname"]=>
string(4) "Cell"
["elocationid"]=>
string(31) "doi: 10.1016/j.cell.2018.05.060"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2018/08/23 00:00"
["sortfirstauthor"]=>
string(7) "Azizi E"
["vernaculartitle"]=>
string(0) ""
}
[29768164]=>
array(43) {
["uid"]=>
string(8) "29768164"
["pubdate"]=>
string(11) "2018 May 15"
["epubdate"]=>
string(0) ""
["source"]=>
string(8) "Immunity"
["authors"]=>
array(15) {
[0]=>
array(3) {
["name"]=>
string(9) "Bengsch B"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(8) "Ohtani T"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(6) "Khan O"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(7) "Manne S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(9) "O'Brien S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(13) "Gherardini PF"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(9) "Herati RS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(8) "Huang AC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(8) "Chang KM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(9) "Newell EW"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(12) "Bovenschen N"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(10) "Albelda SM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[14]=>
array(3) {
["name"]=>
string(9) "Wherry EJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(9) "Wherry EJ"
["title"]=>
string(103) "Epigenomic-Guided Mass Cytometry Profiling Reveals Disease-Specific Features of Exhausted CD8 T Cells."
["sorttitle"]=>
string(101) "epigenomic guided mass cytometry profiling reveals disease specific features of exhausted cd8 t cells"
["volume"]=>
string(2) "48"
["issue"]=>
string(1) "5"
["pages"]=>
string(12) "1029-1045.e5"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9432918"
["issn"]=>
string(9) "1074-7613"
["essn"]=>
string(9) "1097-4180"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(1) "4"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "29768164"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(21) "S1074-7613(18)30195-X"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(28) "10.1016/j.immuni.2018.04.026"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC6010198"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS969093"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "29768164"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "29768164"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC6010198;manuscript-id: NIHMS969093;"
}
}
["history"]=>
array(6) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2017/07/05 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(7) "revised"
["date"]=>
string(16) "2018/02/14 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2018/04/24 00:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2018/05/17 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2018/05/17 06:00"
}
[5]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2019/01/29 06:00"
}
}
["references"]=>
array(1) {
[0]=>
array(4) {
["refsource"]=>
string(30) "Sci Immunol. 2018 Jun 1;3(24):"
["reftype"]=>
string(10) "Comment in"
["pmid"]=>
int(29858288)
["note"]=>
string(0) ""
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(78)
["fulljournalname"]=>
string(8) "Immunity"
["elocationid"]=>
string(33) "doi: 10.1016/j.immuni.2018.04.026"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2018/05/15 00:00"
["sortfirstauthor"]=>
string(9) "Bengsch B"
["vernaculartitle"]=>
string(0) ""
}
[27136076]=>
array(43) {
["uid"]=>
string(8) "27136076"
["pubdate"]=>
string(8) "2016 Jun"
["epubdate"]=>
string(10) "2016 May 2"
["source"]=>
string(14) "Nat Biotechnol"
["authors"]=>
array(10) {
[0]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(9) "Tadmor MD"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(15) "Reich-Zeliger S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(7) "Angel O"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(9) "Salame TM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(9) "Kathail P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(6) "Choi K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(9) "Bendall S"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(10) "Friedman N"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(7) "Pe'er D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(7) "Pe'er D"
["title"]=>
string(81) "Wishbone identifies bifurcating developmental trajectories from single-cell data."
["sorttitle"]=>
string(80) "wishbone identifies bifurcating developmental trajectories from single cell data"
["volume"]=>
string(2) "34"
["issue"]=>
string(1) "6"
["pages"]=>
string(6) "637-45"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9604648"
["issn"]=>
string(9) "1087-0156"
["essn"]=>
string(9) "1546-1696"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "27136076"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(8) "nbt.3569"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(16) "10.1038/nbt.3569"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC4900897"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS777794"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "27136076"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "27136076"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC4900897;manuscript-id: NIHMS777794;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2015/11/19 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2016/04/12 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2016/05/03 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2016/05/03 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2017/06/06 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(207)
["fulljournalname"]=>
string(20) "Nature biotechnology"
["elocationid"]=>
string(21) "doi: 10.1038/nbt.3569"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2016/06/01 00:00"
["sortfirstauthor"]=>
string(7) "Setty M"
["vernaculartitle"]=>
string(0) ""
}
[26865277]=>
array(43) {
["uid"]=>
string(8) "26865277"
["pubdate"]=>
string(8) "2016 Apr"
["epubdate"]=>
string(0) ""
["source"]=>
string(24) "Genes Chromosomes Cancer"
["authors"]=>
array(11) {
[0]=>
array(3) {
["name"]=>
string(10) "Pelossof R"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(7) "Chow OS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(11) "Fairchild L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(8) "Smith JJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(7) "Chen CT"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(6) "Chen Z"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(7) "Egawa F"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(7) "Avila K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(9) "Leslie CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(16) "Garcia-Aguilar J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(16) "Garcia-Aguilar J"
["title"]=>
string(108) "Integrated genomic profiling identifies microRNA-92a regulation of IQGAP2 in locally advanced rectal cancer."
["sorttitle"]=>
string(107) "integrated genomic profiling identifies microrna 92a regulation of iqgap2 in locally advanced rectal cancer"
["volume"]=>
string(2) "55"
["issue"]=>
string(1) "4"
["pages"]=>
string(7) "311-321"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9007329"
["issn"]=>
string(9) "1045-2257"
["essn"]=>
string(9) "1098-2264"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(1) "4"
["articleids"]=>
array(7) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "26865277"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(17) "10.1002/gcc.22329"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC4755360"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS732887"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "26865277"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "26865277"
}
[6]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC4755360;manuscript-id: NIHMS732887;"
}
}
["history"]=>
array(6) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2015/05/14 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(7) "revised"
["date"]=>
string(16) "2015/10/19 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2015/10/20 00:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2016/02/12 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2016/02/13 06:00"
}
[5]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2016/09/27 06:00"
}
}
["references"]=>
array(2) {
[0]=>
array(4) {
["refsource"]=>
string(44) "Genes Chromosomes Cancer. 2016 Jul;55(7):612"
["reftype"]=>
string(10) "Comment in"
["pmid"]=>
int(27015298)
["note"]=>
string(0) ""
}
[1]=>
array(4) {
["refsource"]=>
string(44) "Genes Chromosomes Cancer. 2016 Jul;55(7):613"
["reftype"]=>
string(10) "Comment in"
["pmid"]=>
int(27015446)
["note"]=>
string(0) ""
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(4)
["fulljournalname"]=>
string(27) "Genes, chromosomes & cancer"
["elocationid"]=>
string(22) "doi: 10.1002/gcc.22329"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2016/04/01 00:00"
["sortfirstauthor"]=>
string(10) "Pelossof R"
["vernaculartitle"]=>
string(0) ""
}
[26390058]=>
array(43) {
["uid"]=>
string(8) "26390058"
["pubdate"]=>
string(8) "2015 Nov"
["epubdate"]=>
string(11) "2015 Sep 21"
["source"]=>
string(9) "Nat Genet"
["authors"]=>
array(3) {
[0]=>
array(3) {
["name"]=>
string(12) "González AJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(9) "Leslie CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(9) "Leslie CS"
["title"]=>
string(125) "Early enhancer establishment and regulatory locus complexity shape transcriptional programs in hematopoietic differentiation."
["sorttitle"]=>
string(124) "early enhancer establishment and regulatory locus complexity shape transcriptional programs in hematopoietic differentiation"
["volume"]=>
string(2) "47"
["issue"]=>
string(2) "11"
["pages"]=>
string(7) "1249-59"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9216904"
["issn"]=>
string(9) "1061-4036"
["essn"]=>
string(9) "1546-1718"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "26390058"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(7) "ng.3402"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(15) "10.1038/ng.3402"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC4626279"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS717414"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "26390058"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "26390058"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC4626279;manuscript-id: NIHMS717414;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2015/02/26 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2015/08/19 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2015/09/22 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2015/09/22 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2016/03/08 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(31)
["fulljournalname"]=>
string(15) "Nature genetics"
["elocationid"]=>
string(20) "doi: 10.1038/ng.3402"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2015/11/01 00:00"
["sortfirstauthor"]=>
string(12) "González AJ"
["vernaculartitle"]=>
string(0) ""
}
[26016777]=>
array(43) {
["uid"]=>
string(8) "26016777"
["pubdate"]=>
string(8) "2015 May"
["epubdate"]=>
string(11) "2015 May 27"
["source"]=>
string(16) "PLoS Comput Biol"
["authors"]=>
array(2) {
[0]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(9) "Leslie CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(9) "Leslie CS"
["title"]=>
string(90) "SeqGL Identifies Context-Dependent Binding Signals in Genome-Wide Regulatory Element Maps."
["sorttitle"]=>
string(89) "seqgl identifies context dependent binding signals in genome wide regulatory element maps"
["volume"]=>
string(2) "11"
["issue"]=>
string(1) "5"
["pages"]=>
string(8) "e1004271"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(9) "101238922"
["issn"]=>
string(9) "1553-734X"
["essn"]=>
string(9) "1553-7358"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "258"
["articleids"]=>
array(7) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "26016777"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(28) "10.1371/journal.pcbi.1004271"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(20) "PCOMPBIOL-D-14-01626"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC4446265"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "26016777"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "26016777"
}
[6]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(19) "pmc-id: PMC4446265;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2014/09/08 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2015/04/03 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2015/05/29 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2015/05/29 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2016/02/24 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(33)
["fulljournalname"]=>
string(26) "PLoS computational biology"
["elocationid"]=>
string(33) "doi: 10.1371/journal.pcbi.1004271"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2015/05/27 00:00"
["sortfirstauthor"]=>
string(7) "Setty M"
["vernaculartitle"]=>
string(0) ""
}
[24843176]=>
array(43) {
["uid"]=>
string(8) "24843176"
["pubdate"]=>
string(10) "2014 Jun 3"
["epubdate"]=>
string(11) "2014 May 19"
["source"]=>
string(24) "Proc Natl Acad Sci U S A"
["authors"]=>
array(9) {
[0]=>
array(3) {
["name"]=>
string(11) "Schneider C"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(9) "Holmes AB"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(8) "Maute RL"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(9) "Leslie CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(10) "Mussolin L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(9) "Rosolen A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(14) "Dalla-Favera R"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(7) "Basso K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(7) "Basso K"
["title"]=>
string(82) "MicroRNA 28 controls cell proliferation and is down-regulated in B-cell lymphomas."
["sorttitle"]=>
string(81) "microrna 28 controls cell proliferation and is down regulated in b cell lymphomas"
["volume"]=>
string(3) "111"
["issue"]=>
string(2) "22"
["pages"]=>
string(7) "8185-90"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "7505876"
["issn"]=>
string(9) "0027-8424"
["essn"]=>
string(9) "1091-6490"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(7) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "24843176"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(10) "1322466111"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(23) "10.1073/pnas.1322466111"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC4050621"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "24843176"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "24843176"
}
[6]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(19) "pmc-id: PMC4050621;"
}
}
["history"]=>
array(3) {
[0]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2014/05/21 06:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2014/05/21 06:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2014/08/21 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(34)
["fulljournalname"]=>
string(79) "Proceedings of the National Academy of Sciences of the United States of America"
["elocationid"]=>
string(28) "doi: 10.1073/pnas.1322466111"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2014/06/03 00:00"
["sortfirstauthor"]=>
string(11) "Schneider C"
["vernaculartitle"]=>
string(0) ""
}
[24056773]=>
array(43) {
["uid"]=>
string(8) "24056773"
["pubdate"]=>
string(8) "2013 Oct"
["epubdate"]=>
string(11) "2013 Sep 22"
["source"]=>
string(7) "Nat Med"
["authors"]=>
array(20) {
[0]=>
array(3) {
["name"]=>
string(11) "Pyonteck SM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(8) "Akkari L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(14) "Schuhmacher AJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(9) "Bowman RL"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(10) "Sevenich L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(8) "Quail DF"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(8) "Olson OC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(8) "Quick ML"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(7) "Huse JT"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(10) "Teijeiro V"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(9) "Leslie CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(5) "Oei Y"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(9) "Pedraza A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[14]=>
array(3) {
["name"]=>
string(7) "Zhang J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[15]=>
array(3) {
["name"]=>
string(10) "Brennan CW"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[16]=>
array(3) {
["name"]=>
string(9) "Sutton JC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[17]=>
array(3) {
["name"]=>
string(10) "Holland EC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[18]=>
array(3) {
["name"]=>
string(8) "Daniel D"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[19]=>
array(3) {
["name"]=>
string(8) "Joyce JA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(8) "Joyce JA"
["title"]=>
string(79) "CSF-1R inhibition alters macrophage polarization and blocks glioma progression."
["sorttitle"]=>
string(78) "csf 1r inhibition alters macrophage polarization and blocks glioma progression"
["volume"]=>
string(2) "19"
["issue"]=>
string(2) "10"
["pages"]=>
string(7) "1264-72"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9502015"
["issn"]=>
string(9) "1078-8956"
["essn"]=>
string(9) "1546-170X"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "24056773"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(7) "nm.3337"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(15) "10.1038/nm.3337"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC3840724"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS516117"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "24056773"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "24056773"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC3840724;manuscript-id: NIHMS516117;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2012/12/31 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2013/08/14 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2013/09/24 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2013/09/24 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2013/12/18 06:00"
}
}
["references"]=>
array(2) {
[0]=>
array(4) {
["refsource"]=>
string(31) "Nat Med. 2013 Oct;19(10):1207-8"
["reftype"]=>
string(10) "Comment in"
["pmid"]=>
int(24100977)
["note"]=>
string(0) ""
}
[1]=>
array(4) {
["refsource"]=>
string(35) "Nat Rev Cancer. 2013 Nov;13(11):753"
["reftype"]=>
string(10) "Comment in"
["pmid"]=>
int(24108096)
["note"]=>
string(0) ""
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(731)
["fulljournalname"]=>
string(15) "Nature medicine"
["elocationid"]=>
string(20) "doi: 10.1038/nm.3337"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2013/10/01 00:00"
["sortfirstauthor"]=>
string(11) "Pyonteck SM"
["vernaculartitle"]=>
string(0) ""
}
[23166356]=>
array(43) {
["uid"]=>
string(8) "23166356"
["pubdate"]=>
string(11) "2012 Dec 17"
["epubdate"]=>
string(11) "2012 Nov 19"
["source"]=>
string(9) "J Exp Med"
["authors"]=>
array(7) {
[0]=>
array(3) {
["name"]=>
string(7) "Basso K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(11) "Schneider C"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(6) "Shen Q"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(9) "Holmes AB"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(8) "Leslie C"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(14) "Dalla-Favera R"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(14) "Dalla-Favera R"
["title"]=>
string(92) "BCL6 positively regulates AID and germinal center gene expression via repression of miR-155."
["sorttitle"]=>
string(91) "bcl6 positively regulates aid and germinal center gene expression via repression of mir 155"
["volume"]=>
string(3) "209"
["issue"]=>
string(2) "13"
["pages"]=>
string(7) "2455-65"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(8) "2985109R"
["issn"]=>
string(9) "0022-1007"
["essn"]=>
string(9) "1540-9538"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(7) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "23166356"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(12) "jem.20121387"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(20) "10.1084/jem.20121387"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC3526356"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "23166356"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "23166356"
}
[6]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(19) "pmc-id: PMC3526356;"
}
}
["history"]=>
array(3) {
[0]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2012/11/21 06:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2012/11/21 06:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2013/02/26 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(49)
["fulljournalname"]=>
string(36) "The Journal of experimental medicine"
["elocationid"]=>
string(25) "doi: 10.1084/jem.20121387"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2012/12/17 00:00"
["sortfirstauthor"]=>
string(7) "Basso K"
["vernaculartitle"]=>
string(0) ""
}
[23056544]=>
array(43) {
["uid"]=>
string(8) "23056544"
["pubdate"]=>
string(4) "2012"
["epubdate"]=>
string(10) "2012 Oct 3"
["source"]=>
string(8) "PLoS One"
["authors"]=>
array(7) {
[0]=>
array(3) {
["name"]=>
string(7) "Helmy K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(10) "Halliday J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(11) "Fomchenko E"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(8) "Pitter K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(13) "Hafemeister C"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(10) "Holland EC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(10) "Holland EC"
["title"]=>
string(82) "Identification of global alteration of translational regulation in glioma in vivo."
["sorttitle"]=>
string(81) "identification of global alteration of translational regulation in glioma in vivo"
["volume"]=>
string(1) "7"
["issue"]=>
string(2) "10"
["pages"]=>
string(6) "e46965"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(9) "101285081"
["issn"]=>
string(0) ""
["essn"]=>
string(9) "1932-6203"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(7) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "23056544"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(28) "10.1371/journal.pone.0046965"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(15) "PONE-D-12-12170"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC3463531"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "23056544"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "23056544"
}
[6]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(19) "pmc-id: PMC3463531;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2012/04/25 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2012/09/07 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2012/10/12 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2012/10/12 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2013/05/08 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(14)
["fulljournalname"]=>
string(8) "PloS one"
["elocationid"]=>
string(33) "doi: 10.1371/journal.pone.0046965"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2012/01/01 00:00"
["sortfirstauthor"]=>
string(7) "Helmy K"
["vernaculartitle"]=>
string(0) ""
}
[22929615]=>
array(43) {
["uid"]=>
string(8) "22929615"
["pubdate"]=>
string(4) "2012"
["epubdate"]=>
string(0) ""
["source"]=>
string(13) "Mol Syst Biol"
["authors"]=>
array(10) {
[0]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(7) "Helmy K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(7) "Khan AA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(8) "Silber J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(7) "Arvey A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(8) "Neezen F"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(7) "Agius P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(7) "Huse JT"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(10) "Holland EC"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(9) "Leslie CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(9) "Leslie CS"
["title"]=>
string(84) "Inferring transcriptional and microRNA-mediated regulatory programs in glioblastoma."
["sorttitle"]=>
string(83) "inferring transcriptional and microrna mediated regulatory programs in glioblastoma"
["volume"]=>
string(1) "8"
["issue"]=>
string(0) ""
["pages"]=>
string(3) "605"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(9) "101235389"
["issn"]=>
string(0) ""
["essn"]=>
string(9) "1744-4292"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(1) "4"
["articleids"]=>
array(7) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "22929615"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(9) "msb201237"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(19) "10.1038/msb.2012.37"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC3435504"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "22929615"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "22929615"
}
[6]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(19) "pmc-id: PMC3435504;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2011/10/26 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2012/07/25 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2012/08/30 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2012/08/30 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2013/01/15 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(56)
["fulljournalname"]=>
string(25) "Molecular systems biology"
["elocationid"]=>
string(24) "doi: 10.1038/msb.2012.37"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2012/01/01 00:00"
["sortfirstauthor"]=>
string(7) "Setty M"
["vernaculartitle"]=>
string(0) ""
}
[21642990]=>
array(43) {
["uid"]=>
string(8) "21642990"
["pubdate"]=>
string(10) "2011 Jun 5"
["epubdate"]=>
string(10) "2011 Jun 5"
["source"]=>
string(9) "Nat Genet"
["authors"]=>
array(17) {
[0]=>
array(3) {
["name"]=>
string(11) "Mavrakis KJ"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(16) "Van Der Meulen J"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(8) "Wolfe AL"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(5) "Liu X"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(6) "Mets E"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(8) "Taghon T"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(7) "Khan AA"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(8) "Rondou P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(14) "Vandenberghe P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(11) "Delabesse E"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(8) "Benoit Y"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(8) "Socci NB"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(9) "Leslie CS"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[14]=>
array(3) {
["name"]=>
string(17) "Van Vlierberghe P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[15]=>
array(3) {
["name"]=>
string(10) "Speleman F"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[16]=>
array(3) {
["name"]=>
string(9) "Wendel HG"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(9) "Wendel HG"
["title"]=>
string(100) "A cooperative microRNA-tumor suppressor gene network in acute T-cell lymphoblastic leukemia (T-ALL)."
["sorttitle"]=>
string(95) "cooperative microrna tumor suppressor gene network in acute t cell lymphoblastic leukemia t all"
["volume"]=>
string(2) "43"
["issue"]=>
string(1) "7"
["pages"]=>
string(5) "673-8"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9216904"
["issn"]=>
string(9) "1061-4036"
["essn"]=>
string(9) "1546-1718"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(1) "3"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "21642990"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(6) "ng.858"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(14) "10.1038/ng.858"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC4121855"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS608190"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "21642990"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "21642990"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC4121855;manuscript-id: NIHMS608190;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2010/11/12 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2011/05/16 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2011/06/07 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2011/06/07 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2011/09/16 06:00"
}
}
["references"]=>
array(1) {
[0]=>
array(4) {
["refsource"]=>
string(29) "Nat Genet. 2011 Aug;43(8):815"
["reftype"]=>
string(10) "Erratum in"
["pmid"]=>
string(0) ""
["note"]=>
string(38) "Setti, Manu [corrected to Setty, Manu]"
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(127)
["fulljournalname"]=>
string(15) "Nature genetics"
["elocationid"]=>
string(19) "doi: 10.1038/ng.858"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2011/06/05 00:00"
["sortfirstauthor"]=>
string(11) "Mavrakis KJ"
["vernaculartitle"]=>
string(0) ""
}
[21385049]=>
array(43) {
["uid"]=>
string(8) "21385049"
["pubdate"]=>
string(8) "2011 Mar"
["epubdate"]=>
string(0) ""
["source"]=>
string(13) "J Comput Biol"
["authors"]=>
array(3) {
[0]=>
array(3) {
["name"]=>
string(8) "Setty MN"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(7) "Gusev A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(7) "Pe'er I"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(7) "Pe'er I"
["title"]=>
string(55) "HLA type inference via haplotypes identical by descent."
["sorttitle"]=>
string(54) "hla type inference via haplotypes identical by descent"
["volume"]=>
string(2) "18"
["issue"]=>
string(1) "3"
["pages"]=>
string(6) "483-93"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9433358"
["issn"]=>
string(9) "1066-5277"
["essn"]=>
string(9) "1557-8666"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(1) "4"
["articleids"]=>
array(4) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "21385049"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(21) "10.1089/cmb.2010.0258"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "21385049"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "21385049"
}
}
["history"]=>
array(3) {
[0]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2011/03/10 06:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2011/03/10 06:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2011/06/23 06:00"
}
}
["references"]=>
array(0) {
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(9)
["fulljournalname"]=>
string(84) "Journal of computational biology : a journal of computational molecular cell biology"
["elocationid"]=>
string(26) "doi: 10.1089/cmb.2010.0258"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2011/03/01 00:00"
["sortfirstauthor"]=>
string(8) "Setty MN"
["vernaculartitle"]=>
string(0) ""
}
[21151124]=>
array(43) {
["uid"]=>
string(8) "21151124"
["pubdate"]=>
string(8) "2011 Jan"
["epubdate"]=>
string(11) "2010 Dec 12"
["source"]=>
string(14) "Nat Biotechnol"
["authors"]=>
array(14) {
[0]=>
array(3) {
["name"]=>
string(13) "Papapetrou EP"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[1]=>
array(3) {
["name"]=>
string(5) "Lee G"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[2]=>
array(3) {
["name"]=>
string(8) "Malani N"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[3]=>
array(3) {
["name"]=>
string(7) "Setty M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[4]=>
array(3) {
["name"]=>
string(9) "Riviere I"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[5]=>
array(3) {
["name"]=>
string(13) "Tirunagari LM"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[6]=>
array(3) {
["name"]=>
string(8) "Kadota K"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[7]=>
array(3) {
["name"]=>
string(7) "Roth SL"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[8]=>
array(3) {
["name"]=>
string(10) "Giardina P"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[9]=>
array(3) {
["name"]=>
string(7) "Viale A"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[10]=>
array(3) {
["name"]=>
string(8) "Leslie C"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[11]=>
array(3) {
["name"]=>
string(10) "Bushman FD"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[12]=>
array(3) {
["name"]=>
string(8) "Studer L"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
[13]=>
array(3) {
["name"]=>
string(10) "Sadelain M"
["authtype"]=>
string(6) "Author"
["clusterid"]=>
string(0) ""
}
}
["lastauthor"]=>
string(10) "Sadelain M"
["title"]=>
string(110) "Genomic safe harbors permit high β-globin transgene expression in thalassemia induced pluripotent stem cells."
["sorttitle"]=>
string(106) "genomic safe harbors permit high globin transgene expression in thalassemia induced pluripotent stem cells"
["volume"]=>
string(2) "29"
["issue"]=>
string(1) "1"
["pages"]=>
string(4) "73-8"
["lang"]=>
array(1) {
[0]=>
string(3) "eng"
}
["nlmuniqueid"]=>
string(7) "9604648"
["issn"]=>
string(9) "1087-0156"
["essn"]=>
string(9) "1546-1696"
["pubtype"]=>
array(1) {
[0]=>
string(15) "Journal Article"
}
["recordstatus"]=>
string(28) "PubMed - indexed for MEDLINE"
["pubstatus"]=>
string(3) "256"
["articleids"]=>
array(8) {
[0]=>
array(3) {
["idtype"]=>
string(6) "pubmed"
["idtypen"]=>
int(1)
["value"]=>
string(8) "21151124"
}
[1]=>
array(3) {
["idtype"]=>
string(3) "pii"
["idtypen"]=>
int(4)
["value"]=>
string(8) "nbt.1717"
}
[2]=>
array(3) {
["idtype"]=>
string(3) "doi"
["idtypen"]=>
int(3)
["value"]=>
string(16) "10.1038/nbt.1717"
}
[3]=>
array(3) {
["idtype"]=>
string(3) "pmc"
["idtypen"]=>
int(8)
["value"]=>
string(10) "PMC3356916"
}
[4]=>
array(3) {
["idtype"]=>
string(3) "mid"
["idtypen"]=>
int(8)
["value"]=>
string(11) "NIHMS376527"
}
[5]=>
array(3) {
["idtype"]=>
string(3) "rid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "21151124"
}
[6]=>
array(3) {
["idtype"]=>
string(3) "eid"
["idtypen"]=>
int(8)
["value"]=>
string(8) "21151124"
}
[7]=>
array(3) {
["idtype"]=>
string(5) "pmcid"
["idtypen"]=>
int(5)
["value"]=>
string(46) "pmc-id: PMC3356916;manuscript-id: NIHMS376527;"
}
}
["history"]=>
array(5) {
[0]=>
array(2) {
["pubstatus"]=>
string(8) "received"
["date"]=>
string(16) "2010/09/24 00:00"
}
[1]=>
array(2) {
["pubstatus"]=>
string(8) "accepted"
["date"]=>
string(16) "2010/10/26 00:00"
}
[2]=>
array(2) {
["pubstatus"]=>
string(6) "entrez"
["date"]=>
string(16) "2010/12/15 06:00"
}
[3]=>
array(2) {
["pubstatus"]=>
string(6) "pubmed"
["date"]=>
string(16) "2010/12/15 06:00"
}
[4]=>
array(2) {
["pubstatus"]=>
string(7) "medline"
["date"]=>
string(16) "2011/05/06 06:00"
}
}
["references"]=>
array(1) {
[0]=>
array(4) {
["refsource"]=>
string(35) "Nat Biotechnol. 2011 Jan;29(1):41-2"
["reftype"]=>
string(10) "Comment in"
["pmid"]=>
int(21221100)
["note"]=>
string(0) ""
}
}
["attributes"]=>
array(1) {
[0]=>
string(12) "Has Abstract"
}
["pmcrefcount"]=>
int(130)
["fulljournalname"]=>
string(20) "Nature biotechnology"
["elocationid"]=>
string(21) "doi: 10.1038/nbt.1717"
["doctype"]=>
string(8) "citation"
["srccontriblist"]=>
array(0) {
}
["booktitle"]=>
string(0) ""
["medium"]=>
string(0) ""
["edition"]=>
string(0) ""
["publisherlocation"]=>
string(0) ""
["publishername"]=>
string(0) ""
["srcdate"]=>
string(0) ""
["reportnumber"]=>
string(0) ""
["availablefromurl"]=>
string(0) ""
["locationlabel"]=>
string(0) ""
["doccontriblist"]=>
array(0) {
}
["docdate"]=>
string(0) ""
["bookname"]=>
string(0) ""
["chapter"]=>
string(0) ""
["sortpubdate"]=>
string(16) "2011/01/01 00:00"
["sortfirstauthor"]=>
string(13) "Papapetrou EP"
["vernaculartitle"]=>
string(0) ""
}
}
}
Publications
The following publications were retrieved from PubMed:
Guttikonda SR, Sikkema L, Tchieu J, Saurat N, Walsh RM, Harschnitz O, Ciceri G, Sneeboer M, Mazutis L, Setty M, Zumbo P, Betel D, de Witte LD, Pe'er D, Studer L.
Nat Neurosci. 2021 Mar; 3(24)343-354
Lotto J, Drissler S, Cullum R, Wei W, Setty M, Bell EM, Boutet SC, Nowotschin S, Kuo YY, Garg V, Pe'er D, Church DM, Hadjantonakis AK, Hoodless PA.
Cell. 2020 Oct 29; 3(183)702-716.e14
ENCODE Project Consortium., Snyder MP, Gingeras TR, Moore JE, Weng Z, Gerstein MB, Ren B, Hardison RC, Stamatoyannopoulos JA, Graveley BR, Feingold EA, Pazin MJ, Pagan M, Gilchrist DA, Hitz BC, Cherry JM, Bernstein BE, Mendenhall EM, Zerbino DR, Frankish A, Flicek P, Myers RM.
Nature. 2020 Jul; 7818(583)693-698
Regenerative lineages and immune-mediated pruning in lung cancer metastasis.
Laughney AM, Hu J, Campbell NR, Bakhoum SF, Setty M, Lavallée VP, Xie Y, Masilionis I, Carr AJ, Kottapalli S, Allaj V, Mattar M, Rekhtman N, Xavier JB, Mazutis L, Poirier JT, Rudin CM, Pe'er D, Massagué J.
Nat Med. 2020 Feb; 2(26)259-269
Author Correction: Characterization of cell fate probabilities in single-cell data with Palantir.
Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Pe'er D.
Nat Biotechnol. 2019 Oct; 10(37)1237
The emergent landscape of the mouse gut endoderm at single-cell resolution.
Nowotschin S, Setty M, Kuo YY, Liu V, Garg V, Sharma R, Simon CS, Saiz N, Gardner R, Boutet SC, Church DM, Hoodless PA, Hadjantonakis AK, Pe'er D.
Nature. 2019 May; 7756(569)361-367
Wei SC, Sharma R, Anang NAS, Levine JH, Zhao Y, Mancuso JJ, Setty M, Sharma P, Wang J, Pe'er D, Allison JP.
Immunity. 2019 Apr 16; 4(50)1084-1098.e10
Characterization of cell fate probabilities in single-cell data with Palantir.
Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Pe'er D.
Nat Biotechnol. 2019 Apr; 4(37)451-460
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment.
Azizi E, Carr AJ, Plitas G, Cornish AE, Konopacki C, Prabhakaran S, Nainys J, Wu K, Kiseliovas V, Setty M, Choi K, Fromme RM, Dao P, McKenney PT, Wasti RC, Kadaveru K, Mazutis L, Rudensky AY, Pe'er D.
Cell. 2018 Aug 23; 5(174)1293-1308.e36
Bengsch B, Ohtani T, Khan O, Setty M, Manne S, O'Brien S, Gherardini PF, Herati RS, Huang AC, Chang KM, Newell EW, Bovenschen N, Pe'er D, Albelda SM, Wherry EJ.
Immunity. 2018 May 15; 5(48)1029-1045.e5
Wishbone identifies bifurcating developmental trajectories from single-cell data.
Setty M, Tadmor MD, Reich-Zeliger S, Angel O, Salame TM, Kathail P, Choi K, Bendall S, Friedman N, Pe'er D.
Nat Biotechnol. 2016 Jun; 6(34)637-45
Pelossof R, Chow OS, Fairchild L, Smith JJ, Setty M, Chen CT, Chen Z, Egawa F, Avila K, Leslie CS, Garcia-Aguilar J.
Genes Chromosomes Cancer. 2016 Apr; 4(55)311-321
González AJ, Setty M, Leslie CS.
Nat Genet. 2015 Nov; 11(47)1249-59
SeqGL Identifies Context-Dependent Binding Signals in Genome-Wide Regulatory Element Maps.
Setty M, Leslie CS.
PLoS Comput Biol. 2015 May; 5(11)e1004271
MicroRNA 28 controls cell proliferation and is down-regulated in B-cell lymphomas.
Schneider C, Setty M, Holmes AB, Maute RL, Leslie CS, Mussolin L, Rosolen A, Dalla-Favera R, Basso K.
Proc Natl Acad Sci U S A. 2014 Jun 3; 22(111)8185-90
CSF-1R inhibition alters macrophage polarization and blocks glioma progression.
Pyonteck SM, Akkari L, Schuhmacher AJ, Bowman RL, Sevenich L, Quail DF, Olson OC, Quick ML, Huse JT, Teijeiro V, Setty M, Leslie CS, Oei Y, Pedraza A, Zhang J, Brennan CW, Sutton JC, Holland EC, Daniel D, Joyce JA.
Nat Med. 2013 Oct; 10(19)1264-72
BCL6 positively regulates AID and germinal center gene expression via repression of miR-155.
Basso K, Schneider C, Shen Q, Holmes AB, Setty M, Leslie C, Dalla-Favera R.
J Exp Med. 2012 Dec 17; 13(209)2455-65
Identification of global alteration of translational regulation in glioma in vivo.
Helmy K, Halliday J, Fomchenko E, Setty M, Pitter K, Hafemeister C, Holland EC.
PLoS One. 2012; 10(7)e46965
Inferring transcriptional and microRNA-mediated regulatory programs in glioblastoma.
Setty M, Helmy K, Khan AA, Silber J, Arvey A, Neezen F, Agius P, Huse JT, Holland EC, Leslie CS.
Mol Syst Biol. 2012; (8)605
A cooperative microRNA-tumor suppressor gene network in acute T-cell lymphoblastic leukemia (T-ALL).
Mavrakis KJ, Van Der Meulen J, Wolfe AL, Liu X, Mets E, Taghon T, Khan AA, Setty M, Rondou P, Vandenberghe P, Delabesse E, Benoit Y, Socci NB, Leslie CS, Van Vlierberghe P, Speleman F, Wendel HG.
Nat Genet. 2011 Jun 5; 7(43)673-8
HLA type inference via haplotypes identical by descent.
Setty MN, Gusev A, Pe'er I.
J Comput Biol. 2011 Mar; 3(18)483-93
Papapetrou EP, Lee G, Malani N, Setty M, Riviere I, Tirunagari LM, Kadota K, Roth SL, Giardina P, Viale A, Leslie C, Bushman FD, Studer L, Sadelain M.
Nat Biotechnol. 2011 Jan; 1(29)73-8
Accepting Students For:
Rotation, Autumn
Rotation, Spring
Rotation, Summer
Rotation, Winter
Permanent
Lab Information
Location: Fred Hutchinson Cancer Research Center
Building: Lake Union Steam Plant
Box: S2-140
Phone: 206-667-1913
http://setty-lab.org/
Building: Lake Union Steam Plant
Box: S2-140
Phone: 206-667-1913
http://setty-lab.org/