Publications

Found 80 results
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Hughes-Alford SK, Lauffenburger DA. Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer. Curr Opin Cell Biol. 2012;24(2):284-91.
Huang PH, Mukasa A, Bonavia R, Flynn RA, Brewer ZE, Cavenee WK, Furnari FB, White FM. Quantitative analysis of EGFRvIII cellular signaling networks reveals a combinatorial therapeutic strategy for glioblastoma. Proc Natl Acad Sci U S A. 2007;104(31):12867-72.
Arneja A, Johnson H, Gabrovsek L, Lauffenburger DA, White FM. Qualitatively different T cell phenotypic responses to IL-2 versus IL-15 are unified by identical dependences on receptor signal strength and duration. J Immunol. 2014;192(1):123-35.
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Joughin BA, Liu C, Lauffenburger DA, Hogue CWV, Yaffe MB. Protein kinases display minimal interpositional dependence on substrate sequence: potential implications for the evolution of signalling networks. Philos Trans R Soc Lond B Biol Sci. 2012;367(1602):2574-83.
Niepel M, Hafner M, Pace EA, Chung M, Chai DH, Zhou L, Schoeberl B, Sorger PK. Profiles of Basal and stimulated receptor signaling networks predict drug response in breast cancer lines. Sci Signal. 2013;6(294):ra84.
Reinhardt HC, Cannell IG, Morandell S, Yaffe MB. Is post-transcriptional stabilization, splicing and translation of selective mRNAs a key to the DNA damage response?. Cell Cycle. 2011;10(1):23-7.
Huang PH, Miraldi ER, Xu AM, Kundukulam VA, Del Rosario AM, Flynn RA, Cavenee WK, Furnari FB, White FM. Phosphotyrosine signaling analysis of site-specific mutations on EGFRvIII identifies determinants governing glioblastoma cell growth. Mol Biosyst. 2010;6(7):1227-37.
Huang PH, White FM. Phosphoproteomics: unraveling the signaling web. Mol Cell. 2008;31(6):777-81.
Wilkins AK, Barton PI, Tidor B. The Per2 negative feedback loop sets the period in the mammalian circadian clock mechanism. PLoS Comput Biol. 2007;3(12):e242.
Reinhardt HC, Aslanian AS, Lees JA, Yaffe MB. p53-deficient cells rely on ATM- and ATR-mediated checkpoint signaling through the p38MAPK/MK2 pathway for survival after DNA damage. Cancer Cell. 2007;11(2):175-89.
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Noonan EM, Shah D, Yaffe MB, Lauffenburger DA, Samson LD. O6-Methylguanine DNA lesions induce an intra-S-phase arrest from which cells exit into apoptosis governed by early and late multi-pathway signaling network activation. Integr Biol (Camb). 2012;4(10):1237-55.
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Spencer SL, Gaudet S, Albeck JG, Burke JM, Sorger PK. Non-genetic origins of cell-to-cell variability in TRAIL-induced apoptosis. Nature. 2009;459(7245):428-32.
Alexopoulos LG, Saez-Rodriguez J, Cosgrove BD, Lauffenburger DA, Sorger PK. Networks inferred from biochemical data reveal profound differences in toll-like receptor and inflammatory signaling between normal and transformed hepatocytes. Mol Cell Proteomics. 2010;9(9):1849-65.
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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.
Kumar N, Afeyan R, Kim H-D, Lauffenburger DA. Multipathway model enables prediction of kinase inhibitor cross-talk effects on migration of Her2-overexpressing mammary epithelial cells. Mol Pharmacol. 2008;73(6):1668-78.
Hsu PP, Kang SA, Rameseder J, Zhang Y, Ottina KA, Lim D, Peterson TR, Choi Y, Gray NS, Yaffe MB, Marto JA, Sabatini DM. The mTOR-regulated phosphoproteome reveals a mechanism of mTORC1-mediated inhibition of growth factor signaling. Science. 2011;332(6035):1317-22.
Johnson H, Del Rosario AM, Bryson BD, Schroeder MA, Sarkaria JN, White FM. Molecular characterization of EGFR and EGFRvIII signaling networks in human glioblastoma tumor xenografts. Mol Cell Proteomics. 2012;11(12):1724-40.
Janes KA, Lauffenburger DA. Models of signalling networks - what cell biologists can gain from them and give to them. J Cell Sci. 2013;126(Pt 9):1913-21.
Kumar N, Wolf-Yadlin A, White FM, Lauffenburger DA. Modeling HER2 effects on cell behavior from mass spectrometry phosphotyrosine data. PLoS Comput Biol. 2007;3(1):e4.
van Vugt MATM, Gardino AK, Linding R, Ostheimer GJ, Reinhardt HC, Ong S-E, Tan CS, Miao H, Keezer SM, Li J, Pawson T, Lewis TA, Carr SA, Smerdon SJ, Brummelkamp TR, Yaffe MB. A mitotic phosphorylation feedback network connects Cdk1, Plk1, 53BP1, and Chk2 to inactivate the G(2)/M DNA damage checkpoint. PLoS Biol. 2010;8(1):e1000287.
Gupton SL, Riquelme D, Hughes-Alford SK, Tadros J, Rudina SS, Hynes RO, Lauffenburger DA, Gertler FB. Mena binds α5 integrin directly and modulates α5β1 function. J Cell Biol. 2012;198(4):657-76.
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.
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Morris MK, Saez-Rodriguez J, Sorger PK, Lauffenburger DA. Logic-based models for the analysis of cell signaling networks. Biochemistry. 2010;49(15):3216-24.
Huang S-SC, Clarke DC, Gosline SJC, Labadorf A, Chouinard CR, Gordon W, Lauffenburger DA, Fraenkel E. Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling. PLoS Comput Biol. 2013;9(2):e1002887.
Miller ML, Jensen LJ, Diella F, Jørgensen C, Tinti M, Li L, Hsiung M, Parker SA, Bordeaux J, Sicheritz-Ponten T, Olhovsky M, Pasculescu A, Alexander J, Knapp S, Blom N, Bork P, Li S, Cesareni G, Pawson T, Turk BE, Yaffe MB, Brunak S, Linding R. Linear motif atlas for phosphorylation-dependent signaling. Sci Signal. 2008;1(35):ra2.

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