Publications

Found 24 results
Title [ Type(Desc)] Year
Filters: Keyword is Proteomics  [Clear All Filters]
Journal Article
Miller MA, Meyer AS, Beste MT, Lasisi Z, Reddy S, Jeng KW, Chen C-H, Han J, Isaacson K, Griffith LG, Lauffenburger DA. ADAM-10 and -17 regulate endometriotic cell migration via concerted ligand and receptor shedding feedback on kinase signaling. Proc Natl Acad Sci U S A. 2013;110(22):E2074-83.
Haley J, White FM. Adaptive protein and phosphoprotein networks which promote therapeutic sensitivity or acquired resistance. Biochem Soc Trans. 2014;42(4):758-64.
Tape CJ, Norrie IC, Worboys JD, Lim L, Lauffenburger DA, Jørgensen C. Cell-specific labeling enzymes for analysis of cell-cell communication in continuous co-culture. Mol Cell Proteomics. 2014;13(7):1866-76.
Kholodenko B, Yaffe MB, Kolch W. Computational approaches for analyzing information flow in biological networks. Sci Signal. 2012;5(220):re1.
Bryson BD, Del Rosario AM, Gootenberg JS, Yaffe MB, White FM. Engineered bromodomains to explore the acetylproteome. Proteomics. 2015;15(9):1470-5.
Carlson SM, White FM. Expanding applications of chemical genetics in signal transduction. Cell Cycle. 2012;11(10):1903-9.
Lahesmaa-Korpinen A-M, Carlson SM, White FM, Hautaniemi S. Integrated data management and validation platform for phosphorylated tandem mass spectrometry data. Proteomics. 2010;10(19):3515-24.
Huang S-SC, Fraenkel E. Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks. Sci Signal. 2009;2(81):ra40.
Curran TG, Zhang Y, Ma DJ, Sarkaria JN, White FM. MARQUIS: a multiplex method for absolute quantification of peptides and posttranslational modifications. Nat Commun. 2015;6:5924.
Naegle KM, Welsch RE, Yaffe MB, White FM, Lauffenburger DA. MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets. PLoS Comput Biol. 2011;7(7):e1002119.
Wolf-Yadlin A, Hautaniemi S, Lauffenburger DA, White FM. Multiple reaction monitoring for robust quantitative proteomic analysis of cellular signaling networks. Proc Natl Acad Sci U S A. 2007;104(14):5860-5.
Linding R, Jensen LJ, Pasculescu A, Olhovsky M, Colwill K, Bork P, Yaffe MB, Pawson T. NetworKIN: a resource for exploring cellular phosphorylation networks. Nucleic Acids Res. 2008;36(Database issue):D695-9.
Huang PH, White FM. Phosphoproteomics: unraveling the signaling web. Mol Cell. 2008;31(6):777-81.
Naegle KM, Gymrek M, Joughin BA, Wagner JP, Welsch RE, Yaffe MB, Lauffenburger DA, White FM. PTMScout, a Web resource for analysis of high throughput post-translational proteomics studies. Mol Cell Proteomics. 2010;9(11):2558-70.
Johnson H, White FM. Quantitative analysis of signaling networks across differentially embedded tumors highlights interpatient heterogeneity in human glioblastoma. J Proteome Res. 2014;13(11):4581-93.
White FM. Quantitative phosphoproteomic analysis of signaling network dynamics. Curr Opin Biotechnol. 2008;19(4):404-9.
Grosstessner-Hain K, Hegemann B, Novatchkova M, Rameseder J, Joughin BA, Hudecz O, Roitinger E, Pichler P, Kraut N, Yaffe MB, Peters J-M, Mechtler K. Quantitative phospho-proteomics to investigate the polo-like kinase 1-dependent phospho-proteome. Mol Cell Proteomics. 2011;10(11):M111.008540.
Tape CJ, Worboys JD, Sinclair J, Gourlay R, Vogt J, McMahon KM, Trost M, Lauffenburger DA, Lamont DJ, Jørgensen C. Reproducible automated phosphopeptide enrichment using magnetic TiO2 and Ti-IMAC. Anal Chem. 2014;86(20):10296-302.
Gosline SJC, Oh C, Fraenkel E. SAMNetWeb: identifying condition-specific networks linking signaling and transcription. Bioinformatics. 2015;31(7):1124-6.
Tuncbag N, McCallum S, Huang S-SC, Fraenkel E. SteinerNet: a web server for integrating 'omic' data to discover hidden components of response pathways. Nucleic Acids Res. 2012;40(Web Server issue):W505-9.
Landry BD, Clarke DC, Lee MJ. Studying Cellular Signal Transduction with OMIC Technologies. J Mol Biol. 2015;427(21):3416-40.
Huang S-SC, Fraenkel E. Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasets. Methods Cell Biol. 2012;110:57-80.
Linding R, Jensen LJ, Ostheimer GJ, van Vugt MATM, Jørgensen C, Miron IM, Diella F, Colwill K, Taylor L, Elder K, Metalnikov P, Nguyen V, Pasculescu A, Jin J, Park JGyoon, Samson LD, Woodgett JR, Russell RB, Bork P, Yaffe MB, Pawson T. Systematic discovery of in vivo phosphorylation networks. Cell. 2007;129(7):1415-26.
Johnson H, White FM. Toward quantitative phosphotyrosine profiling in vivo. Semin Cell Dev Biol. 2012;23(8):854-62.