faculty

Michael MacCoss

maccoss@uw.edu

University of Washington, 

Computational Biology

Developmental Biology, Stem Cells & Aging

Genetics, Genomics & Evolution

Development and application of proteomics technologies

Faculty Contact Information

Building: Foege Room: S113 Box: 355065 Phone: 206-616-7451 http://maccosslab.org/

Lab Information

Location: University of Washington Building: Foege Room: S111 Phone: 206-616-9023 http://maccosslab.org/

Accepting Students For:

Rotation, Autumn
Rotation, Spring
Rotation, Summer
Rotation, Winter
Permanent

Publications

The following publications were retrieved from PubMed:

Initial Guidelines for Manuscripts Employing Data-independent Acquisition Mass Spectrometry for Proteomic Analysis.

Chalkley RJ, MacCoss MJ, Jaffe JD, Röst HL.

Mol Cell Proteomics. 2019 Jan; 1(18)1-2

Time-resolved interaction proteomics of the GIGANTEA protein under diurnal cycles in Arabidopsis.

Krahmer J, Goralogia GS, Kubota A, Zardilis A, Johnson RS, Song YH, MacCoss MJ, Le Bihan T, Halliday KJ, Imaizumi T, Millar AJ.

FEBS Lett. 2018 Dec 7;

Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry.

Searle BC, Pino LK, Egertson JD, Ting YS, Lawrence RT, MacLean BX, Villén J, MacCoss MJ.

Nat Commun. 2018 Dec 3; 1(9)5128

Data-independent acquisition mass spectrometry to quantify protein levels in FFPE tumor biopsies for molecular diagnostics.

Kim YJ, Sweet SM, Egertson JD, Sedgewick AJ, Woo S, Liao WL, Merrihew GE, Searle BC, Vaske C, Heaton R, MacCoss MJ, Hembrough T.

J Proteome Res. 2018 Nov 27;

The Interaction Dynamics of Two Potato Leafroll Virus Movement Proteins Affects Their Localization to the Outer Membranes of Mitochondria and Plastids.

DeBlasio SL, Xu Y, Johnson RS, Rebelo AR, MacCoss MJ, Gray SM, Heck M.

Viruses. 2018 Oct 26; 11(10)

Research Summary

The focus of our research is in the development of stable isotope and mass spectrometry based approaches to improve our understanding of biology on a molecular, cellular, and whole organism level. Presently, individuals in the laboratory are working on technology for 1) automating biochemical sample preparation methods for the analysis of protein mixtures; 2) increasing the dynamic range of liquid chromatography-mass spectrometry for the analysis of peptides; and 3) developing computational tools for the automated conversion of mass spectrometry data into biologically meaningful results.