faculty

Matthew Akamatsu

akamatsm@uw.edu
Assistant Professor

University of Washington

Biology

Biophysical and Structural Biology

Cell Signaling & Cell/Environment Interactions

Computational Biology

Actin forces and membrane trafficking in human stem cells

Faculty Contact Information

Building: Life Sciences Building Box: 351800 https://www.biology.washington.edu/people/profile/matthew-akamatsu

Research Summary

We combine mathematical modeling, human stem cell genome-editing, and fluorescence microscopy to study how the actin cytoskeleton produces force to function in cellular membrane bending and trafficking processes. Our research focuses on the mechanical relationship between the actin cytoskeleton and mammalian endocytosis. We aim to identify mechanisms by which emergent architectures of cytoskeletal networks arise based on the initial positions and geometries of endocytic actin-binding proteins.

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&query_key=1&WebEnv=MCID_62f50c004bf3266b8033af25&retmode=json
Resource id #314 -- array(2) { ["header"]=> array(2) { ["type"]=> string(8) "esummary" ["version"]=> string(3) "0.3" } ["result"]=> array(12) { ["uids"]=> array(11) { [0]=> string(8) "35504288" [1]=> string(8) "35389747" [2]=> string(8) "33706232" [3]=> string(8) "31951196" [4]=> string(8) "31591250" [5]=> string(8) "29980624" [6]=> string(8) "28581510" [7]=> string(8) "28539404" [8]=> string(8) "25501814" [9]=> string(8) "24637325" [10]=> string(8) "24047983" } [35504288]=> array(43) { ["uid"]=> string(8) "35504288" ["pubdate"]=> string(10) "2022 May 9" ["epubdate"]=> string(10) "2022 May 2" ["source"]=> string(8) "Dev Cell" ["authors"]=> array(10) { [0]=> array(3) { ["name"]=> string(8) "Serwas D" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(8) "Moayed A" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(9) "Vegesna K" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(7) "Vasan R" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(7) "Hill JM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [6]=> array(3) { ["name"]=> string(13) "Schöneberg J" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [7]=> array(3) { ["name"]=> string(9) "Davies KM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [8]=> array(3) { ["name"]=> string(11) "Rangamani P" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [9]=> array(3) { ["name"]=> string(9) "Drubin DG" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(9) "Drubin DG" ["title"]=> string(104) "Mechanistic insights into actin force generation during vesicle formation from cryo-electron tomography." ["sorttitle"]=> string(103) "mechanistic insights into actin force generation during vesicle formation from cryo electron tomography" ["volume"]=> string(2) "57" ["issue"]=> string(1) "9" ["pages"]=> string(12) "1132-1145.e5" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101120028" ["issn"]=> string(9) "1534-5807" ["essn"]=> string(9) "1878-1551" ["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) "35504288" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(21) "S1534-5807(22)00252-0" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(28) "10.1016/j.devcel.2022.04.012" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC9165722" } [4]=> array(3) { ["idtype"]=> string(3) "mid" ["idtypen"]=> int(8) ["value"]=> string(12) "NIHMS1803538" } [5]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "35504288" } [6]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "35504288" } [7]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(72) "pmc-id: PMC9165722;manuscript-id: NIHMS1803538;embargo-date: 2023/05/09;" } } ["history"]=> array(7) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2021/08/13 00:00" } [1]=> array(2) { ["pubstatus"]=> string(7) "revised" ["date"]=> string(16) "2022/01/18 00:00" } [2]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2022/04/07 00:00" } [3]=> array(2) { ["pubstatus"]=> string(11) "pmc-release" ["date"]=> string(16) "2023/05/09 00:00" } [4]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2022/05/04 06:00" } [5]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2022/05/14 06:00" } [6]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2022/05/03 18:42" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(3) ["fulljournalname"]=> string(18) "Developmental cell" ["elocationid"]=> string(33) "doi: 10.1016/j.devcel.2022.04.012" ["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) "2022/05/09 00:00" ["sortfirstauthor"]=> string(8) "Serwas D" ["vernaculartitle"]=> string(0) "" } [35389747]=> array(43) { ["uid"]=> string(8) "35389747" ["pubdate"]=> string(11) "2022 May 15" ["epubdate"]=> string(10) "2022 Apr 7" ["source"]=> string(13) "Mol Biol Cell" ["authors"]=> array(9) { [0]=> array(3) { ["name"]=> string(8) "Kaplan C" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(8) "Kenny SJ" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(6) "Chen X" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(13) "Schöneberg J" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(10) "Sitarska E" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(12) "Diz-Muñoz A" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [6]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [7]=> array(3) { ["name"]=> string(4) "Xu K" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [8]=> array(3) { ["name"]=> string(9) "Drubin DG" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(9) "Drubin DG" ["title"]=> string(44) "Load adaptation by endocytic actin networks." ["sorttitle"]=> string(43) "load adaptation by endocytic actin networks" ["volume"]=> string(2) "33" ["issue"]=> string(1) "6" ["pages"]=> string(4) "ar50" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(7) "9201390" ["issn"]=> string(9) "1059-1524" ["essn"]=> string(9) "1939-4586" ["pubtype"]=> array(1) { [0]=> string(15) "Journal Article" } ["recordstatus"]=> string(28) "PubMed - indexed for MEDLINE" ["pubstatus"]=> string(3) "256" ["articleids"]=> array(6) { [0]=> array(3) { ["idtype"]=> string(6) "pubmed" ["idtypen"]=> int(1) ["value"]=> string(8) "35389747" } [1]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(23) "10.1091/mbc.E21-11-0589" } [2]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC9265150" } [3]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "35389747" } [4]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "35389747" } [5]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC9265150;" } } ["history"]=> array(3) { [0]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2022/04/08 06:00" } [1]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2022/05/18 06:00" } [2]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2022/04/07 17:12" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(2) ["fulljournalname"]=> string(29) "Molecular biology of the cell" ["elocationid"]=> string(28) "doi: 10.1091/mbc.E21-11-0589" ["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) "2022/05/15 00:00" ["sortfirstauthor"]=> string(8) "Kaplan C" ["vernaculartitle"]=> string(0) "" } [33706232]=> array(43) { ["uid"]=> string(8) "33706232" ["pubdate"]=> string(8) "2021 Aug" ["epubdate"]=> string(10) "2021 Mar 8" ["source"]=> string(19) "Curr Opin Cell Biol" ["authors"]=> array(3) { [0]=> array(3) { ["name"]=> string(6) "Lee CT" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(11) "Rangamani P" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(11) "Rangamani P" ["title"]=> string(37) "Value of models for membrane budding." ["sorttitle"]=> string(36) "value of models for membrane budding" ["volume"]=> string(2) "71" ["issue"]=> string(0) "" ["pages"]=> string(5) "38-45" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(7) "8913428" ["issn"]=> string(9) "0955-0674" ["essn"]=> string(9) "1879-0410" ["pubtype"]=> array(2) { [0]=> string(15) "Journal Article" [1]=> string(6) "Review" } ["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) "33706232" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(21) "S0955-0674(21)00017-X" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(25) "10.1016/j.ceb.2021.01.011" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC8328869" } [4]=> array(3) { ["idtype"]=> string(3) "mid" ["idtypen"]=> int(8) ["value"]=> string(12) "NIHMS1671947" } [5]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "33706232" } [6]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "33706232" } [7]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(47) "pmc-id: PMC8328869;manuscript-id: NIHMS1671947;" } } ["history"]=> array(6) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2020/12/01 00:00" } [1]=> array(2) { ["pubstatus"]=> string(7) "revised" ["date"]=> string(16) "2021/01/27 00:00" } [2]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2021/01/30 00:00" } [3]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2021/03/12 06:00" } [4]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2021/10/27 06:00" } [5]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2021/03/11 20:34" } } ["references"]=> array(1) { [0]=> array(4) { ["refsource"]=> string(39) "Curr Opin Cell Biol. 2021 Aug;71:iii-vi" ["reftype"]=> string(10) "Comment in" ["pmid"]=> int(34219001) ["note"]=> string(0) "" } } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(2) ["fulljournalname"]=> string(31) "Current opinion in cell biology" ["elocationid"]=> string(30) "doi: 10.1016/j.ceb.2021.01.011" ["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) "2021/08/01 00:00" ["sortfirstauthor"]=> string(6) "Lee CT" ["vernaculartitle"]=> string(0) "" } [31951196]=> array(43) { ["uid"]=> string(8) "31951196" ["pubdate"]=> string(11) "2020 Jan 17" ["epubdate"]=> string(11) "2020 Jan 17" ["source"]=> string(5) "Elife" ["authors"]=> array(6) { [0]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(7) "Vasan R" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(8) "Serwas D" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(9) "Ferrin MA" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(11) "Rangamani P" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(9) "Drubin DG" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(9) "Drubin DG" ["title"]=> string(115) "Principles of self-organization and load adaptation by the actin cytoskeleton during clathrin-mediated endocytosis." ["sorttitle"]=> string(114) "principles of self organization and load adaptation by the actin cytoskeleton during clathrin mediated endocytosis" ["volume"]=> string(1) "9" ["issue"]=> string(0) "" ["pages"]=> string(0) "" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101579614" ["issn"]=> string(0) "" ["essn"]=> string(9) "2050-084X" ["pubtype"]=> array(1) { [0]=> string(15) "Journal Article" } ["recordstatus"]=> string(28) "PubMed - indexed for MEDLINE" ["pubstatus"]=> string(1) "3" ["articleids"]=> array(7) { [0]=> array(3) { ["idtype"]=> string(6) "pubmed" ["idtypen"]=> int(1) ["value"]=> string(8) "31951196" } [1]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(19) "10.7554/eLife.49840" } [2]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(5) "49840" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC7041948" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "31951196" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "31951196" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC7041948;" } } ["history"]=> array(5) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2019/07/02 00:00" } [1]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2020/01/16 00:00" } [2]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2020/01/18 06:00" } [3]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2021/04/20 06:00" } [4]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2020/01/18 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(30) ["fulljournalname"]=> string(5) "eLife" ["elocationid"]=> string(37) "pii: e49840. doi: 10.7554/eLife.49840" ["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) "2020/01/17 00:00" ["sortfirstauthor"]=> string(10) "Akamatsu M" ["vernaculartitle"]=> string(0) "" } [31591250]=> array(43) { ["uid"]=> string(8) "31591250" ["pubdate"]=> string(11) "2019 Nov 12" ["epubdate"]=> string(10) "2019 Oct 7" ["source"]=> string(24) "Proc Natl Acad Sci U S A" ["authors"]=> array(11) { [0]=> array(3) { ["name"]=> string(6) "Lou HY" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(6) "Zhao W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(4) "Li X" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(6) "Duan L" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(8) "Powers A" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [6]=> array(3) { ["name"]=> string(9) "Santoro F" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [7]=> array(3) { ["name"]=> string(10) "McGuire AF" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [8]=> array(3) { ["name"]=> string(5) "Cui Y" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [9]=> array(3) { ["name"]=> string(9) "Drubin DG" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [10]=> array(3) { ["name"]=> string(5) "Cui B" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(5) "Cui B" ["title"]=> string(94) "Membrane curvature underlies actin reorganization in response to nanoscale surface topography." ["sorttitle"]=> string(93) "membrane curvature underlies actin reorganization in response to nanoscale surface topography" ["volume"]=> string(3) "116" ["issue"]=> string(2) "46" ["pages"]=> string(11) "23143-23151" ["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) "31591250" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(10) "1910166116" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(23) "10.1073/pnas.1910166116" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC6859365" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "31591250" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "31591250" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC6859365;" } } ["history"]=> array(3) { [0]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2019/10/09 06:00" } [1]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2020/04/02 06:00" } [2]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2019/10/09 06:00" } } ["references"]=> array(1) { [0]=> array(4) { ["refsource"]=> string(57) "Proc Natl Acad Sci U S A. 2019 Nov 12;116(46):22897-22898" ["reftype"]=> string(10) "Comment in" ["pmid"]=> int(31645378) ["note"]=> string(0) "" } } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(40) ["fulljournalname"]=> string(79) "Proceedings of the National Academy of Sciences of the United States of America" ["elocationid"]=> string(28) "doi: 10.1073/pnas.1910166116" ["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) "2019/11/12 00:00" ["sortfirstauthor"]=> string(6) "Lou HY" ["vernaculartitle"]=> string(0) "" } [29980624]=> array(43) { ["uid"]=> string(8) "29980624" ["pubdate"]=> string(10) "2018 Sep 3" ["epubdate"]=> string(10) "2018 Jul 6" ["source"]=> string(11) "J Cell Biol" ["authors"]=> array(7) { [0]=> array(3) { ["name"]=> string(12) "Dambournet D" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(11) "Sochacki KA" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(8) "Cheng AT" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(10) "Taraska JW" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(12) "Hockemeyer D" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [6]=> array(3) { ["name"]=> string(9) "Drubin DG" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(9) "Drubin DG" ["title"]=> string(166) "Genome-edited human stem cells expressing fluorescently labeled endocytic markers allow quantitative analysis of clathrin-mediated endocytosis during differentiation." ["sorttitle"]=> string(165) "genome edited human stem cells expressing fluorescently labeled endocytic markers allow quantitative analysis of clathrin mediated endocytosis during differentiation" ["volume"]=> string(3) "217" ["issue"]=> string(1) "9" ["pages"]=> string(9) "3301-3311" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(7) "0375356" ["issn"]=> string(9) "0021-9525" ["essn"]=> string(9) "1540-8140" ["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) "29980624" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(13) "jcb.201710084" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(21) "10.1083/jcb.201710084" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC6123002" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "29980624" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "29980624" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC6123002;" } } ["history"]=> array(6) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2017/10/13 00:00" } [1]=> array(2) { ["pubstatus"]=> string(7) "revised" ["date"]=> string(16) "2017/11/05 00:00" } [2]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2018/06/04 00:00" } [3]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2018/07/08 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) "2018/07/08 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(25) ["fulljournalname"]=> string(27) "The Journal of cell biology" ["elocationid"]=> string(26) "doi: 10.1083/jcb.201710084" ["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) "2018/09/03 00:00" ["sortfirstauthor"]=> string(12) "Dambournet D" ["vernaculartitle"]=> string(0) "" } [28581510]=> array(43) { ["uid"]=> string(8) "28581510" ["pubdate"]=> string(8) "2017 Aug" ["epubdate"]=> string(10) "2017 Jun 5" ["source"]=> string(15) "Nat Nanotechnol" ["authors"]=> array(11) { [0]=> array(3) { ["name"]=> string(6) "Zhao W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(8) "Hanson L" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(6) "Lou HY" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(11) "Chowdary PD" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(9) "Santoro F" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [6]=> array(3) { ["name"]=> string(8) "Marks JR" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [7]=> array(3) { ["name"]=> string(10) "Grassart A" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [8]=> array(3) { ["name"]=> string(9) "Drubin DG" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [9]=> array(3) { ["name"]=> string(5) "Cui Y" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [10]=> array(3) { ["name"]=> string(5) "Cui B" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(5) "Cui B" ["title"]=> string(83) "Nanoscale manipulation of membrane curvature for probing endocytosis in live cells." ["sorttitle"]=> string(82) "nanoscale manipulation of membrane curvature for probing endocytosis in live cells" ["volume"]=> string(2) "12" ["issue"]=> string(1) "8" ["pages"]=> string(7) "750-756" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101283273" ["issn"]=> string(9) "1748-3387" ["essn"]=> string(9) "1748-3395" ["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) "28581510" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(13) "nnano.2017.98" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(21) "10.1038/nnano.2017.98" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC5544585" } [4]=> array(3) { ["idtype"]=> string(3) "mid" ["idtypen"]=> int(8) ["value"]=> string(11) "NIHMS874639" } [5]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "28581510" } [6]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "28581510" } [7]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(46) "pmc-id: PMC5544585;manuscript-id: NIHMS874639;" } } ["history"]=> array(5) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2016/03/15 00:00" } [1]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2017/04/06 00:00" } [2]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2017/06/06 06:00" } [3]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2019/05/09 06:00" } [4]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2017/06/06 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(78) ["fulljournalname"]=> string(21) "Nature nanotechnology" ["elocationid"]=> string(26) "doi: 10.1038/nnano.2017.98" ["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) "2017/08/01 00:00" ["sortfirstauthor"]=> string(6) "Zhao W" ["vernaculartitle"]=> string(0) "" } [28539404]=> array(43) { ["uid"]=> string(8) "28539404" ["pubdate"]=> string(10) "2017 Nov 7" ["epubdate"]=> string(11) "2017 May 24" ["source"]=> string(13) "Mol Biol Cell" ["authors"]=> array(4) { [0]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(5) "Lin Y" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(12) "Bewersdorf J" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(10) "Pollard TD" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(10) "Pollard TD" ["title"]=> string(114) "Analysis of interphase node proteins in fission yeast by quantitative and superresolution fluorescence microscopy." ["sorttitle"]=> string(113) "analysis of interphase node proteins in fission yeast by quantitative and superresolution fluorescence microscopy" ["volume"]=> string(2) "28" ["issue"]=> string(2) "23" ["pages"]=> string(9) "3203-3214" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(7) "9201390" ["issn"]=> string(9) "1059-1524" ["essn"]=> string(9) "1939-4586" ["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) "28539404" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(15) "mbc.E16-07-0522" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(23) "10.1091/mbc.E16-07-0522" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC5687023" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "28539404" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "28539404" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC5687023;" } } ["history"]=> array(6) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2016/07/19 00:00" } [1]=> array(2) { ["pubstatus"]=> string(7) "revised" ["date"]=> string(16) "2017/04/14 00:00" } [2]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2017/05/15 00:00" } [3]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2017/05/26 06:00" } [4]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2018/03/22 06:00" } [5]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2017/05/26 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(13) ["fulljournalname"]=> string(29) "Molecular biology of the cell" ["elocationid"]=> string(28) "doi: 10.1091/mbc.E16-07-0522" ["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) "2017/11/07 00:00" ["sortfirstauthor"]=> string(10) "Akamatsu M" ["vernaculartitle"]=> string(0) "" } [25501814]=> array(43) { ["uid"]=> string(8) "25501814" ["pubdate"]=> string(10) "2015 Feb 1" ["epubdate"]=> string(0) "" ["source"]=> string(10) "J Cell Sci" ["authors"]=> array(3) { [0]=> array(3) { ["name"]=> string(5) "Pu KM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(10) "Pollard TD" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(10) "Pollard TD" ["title"]=> string(116) "The septation initiation network controls the assembly of nodes containing Cdr2p for cytokinesis in fission yeast." ["sorttitle"]=> string(109) "septation initiation network controls the assembly of nodes containing cdr2p for cytokinesis in fission yeast" ["volume"]=> string(3) "128" ["issue"]=> string(1) "3" ["pages"]=> string(5) "441-6" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(7) "0052457" ["issn"]=> string(9) "0021-9533" ["essn"]=> string(9) "1477-9137" ["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) "25501814" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(10) "jcs.160077" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(18) "10.1242/jcs.160077" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC4311128" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "25501814" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "25501814" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC4311128;" } } ["history"]=> array(3) { [0]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2014/12/16 06:00" } [1]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2014/12/17 06:00" } [2]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2016/04/01 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(7) ["fulljournalname"]=> string(23) "Journal of cell science" ["elocationid"]=> string(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) "2015/02/01 00:00" ["sortfirstauthor"]=> string(5) "Pu KM" ["vernaculartitle"]=> string(0) "" } [24637325]=> array(43) { ["uid"]=> string(8) "24637325" ["pubdate"]=> string(11) "2014 Mar 17" ["epubdate"]=> string(0) "" ["source"]=> string(11) "J Cell Biol" ["authors"]=> array(5) { [0]=> array(3) { ["name"]=> string(10) "Akamatsu M" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(7) "Berro J" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(5) "Pu KM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(8) "Tebbs IR" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(10) "Pollard TD" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(10) "Pollard TD" ["title"]=> string(103) "Cytokinetic nodes in fission yeast arise from two distinct types of nodes that merge during interphase." ["sorttitle"]=> string(102) "cytokinetic nodes in fission yeast arise from two distinct types of nodes that merge during interphase" ["volume"]=> string(3) "204" ["issue"]=> string(1) "6" ["pages"]=> string(6) "977-88" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(7) "0375356" ["issn"]=> string(9) "0021-9525" ["essn"]=> string(9) "1540-8140" ["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) "24637325" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(13) "jcb.201307174" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(21) "10.1083/jcb.201307174" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC3998791" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "24637325" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "24637325" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC3998791;" } } ["history"]=> array(3) { [0]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2014/03/19 06:00" } [1]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2014/03/19 06:00" } [2]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2014/05/28 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(32) ["fulljournalname"]=> string(27) "The Journal of cell biology" ["elocationid"]=> string(26) "doi: 10.1083/jcb.201307174" ["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) "2014/03/17 00:00" ["sortfirstauthor"]=> string(10) "Akamatsu M" ["vernaculartitle"]=> string(0) "" } [24047983]=> array(43) { ["uid"]=> string(8) "24047983" ["pubdate"]=> string(11) "2013 Sep 17" ["epubdate"]=> string(0) "" ["source"]=> string(9) "Biophys J" ["authors"]=> array(4) { [0]=> array(3) { ["name"]=> string(12) "McCormick CD" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(11) "Akamatsu MS" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(5) "Ti SC" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(10) "Pollard TD" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(10) "Pollard TD" ["title"]=> string(101) "Measuring affinities of fission yeast spindle pole body proteins in live cells across the cell cycle." ["sorttitle"]=> string(100) "measuring affinities of fission yeast spindle pole body proteins in live cells across the cell cycle" ["volume"]=> string(3) "105" ["issue"]=> string(1) "6" ["pages"]=> string(7) "1324-35" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(7) "0370626" ["issn"]=> string(9) "0006-3495" ["essn"]=> string(9) "1542-0086" ["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) "24047983" } [1]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(21) "S0006-3495(13)00930-2" } [2]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(25) "10.1016/j.bpj.2013.08.017" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC3827966" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "24047983" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "24047983" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC3827966;" } } ["history"]=> array(6) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2013/04/08 00:00" } [1]=> array(2) { ["pubstatus"]=> string(7) "revised" ["date"]=> string(16) "2013/08/12 00:00" } [2]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2013/08/14 00:00" } [3]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2013/09/20 06:00" } [4]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2013/09/21 06:00" } [5]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2014/04/11 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(9) ["fulljournalname"]=> string(19) "Biophysical journal" ["elocationid"]=> string(30) "doi: 10.1016/j.bpj.2013.08.017" ["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) "2013/09/17 00:00" ["sortfirstauthor"]=> string(12) "McCormick CD" ["vernaculartitle"]=> string(0) "" } } }

Publications

The following publications were retrieved from PubMed:

Mechanistic insights into actin force generation during vesicle formation from cryo-electron tomography.

Serwas D, Akamatsu M, Moayed A, Vegesna K, Vasan R, Hill JM, Schöneberg J, Davies KM, Rangamani P, Drubin DG.

Dev Cell. 2022 May 9; 9(57)1132-1145.e5

Load adaptation by endocytic actin networks.

Kaplan C, Kenny SJ, Chen X, Schöneberg J, Sitarska E, Diz-Muñoz A, Akamatsu M, Xu K, Drubin DG.

Mol Biol Cell. 2022 May 15; 6(33)ar50

Value of models for membrane budding.

Lee CT, Akamatsu M, Rangamani P.

Curr Opin Cell Biol. 2021 Aug; (71)38-45

Principles of self-organization and load adaptation by the actin cytoskeleton during clathrin-mediated endocytosis.

Akamatsu M, Vasan R, Serwas D, Ferrin MA, Rangamani P, Drubin DG.

Elife. 2020 Jan 17; (9)

Membrane curvature underlies actin reorganization in response to nanoscale surface topography.

Lou HY, Zhao W, Li X, Duan L, Powers A, Akamatsu M, Santoro F, McGuire AF, Cui Y, Drubin DG, Cui B.

Proc Natl Acad Sci U S A. 2019 Nov 12; 46(116)23143-23151

Accepting Students For:

Rotation, Spring
Rotation, Summer
Rotation, Winter
Permanent

Lab Information

Location: UW Department of Biology
Building: Life Sciences Building
Room: 512