Publications

Found 73 results
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Hang T-C, Tedford NC, Reddy RJ, Rimchala T, Wells A, White FM, Kamm RD, Lauffenburger DA. Vascular endothelial growth factor (VEGF) and platelet (PF-4) factor 4 inputs modulate human microvascular endothelial signaling in a three-dimensional matrix migration context. Mol Cell Proteomics. 2013;12(12):3704-18.
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Pritchard JR, Lauffenburger DA, Hemann MT. Understanding resistance to combination chemotherapy. Drug Resist Updat. 2012;15(5-6):249-57.
Zaman MH, Matsudaira P, Lauffenburger DA. Understanding effects of matrix protease and matrix organization on directional persistence and translational speed in three-dimensional cell migration. Ann Biomed Eng. 2007;35(1):91-100.
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Oudin MJ, Jonas O, Kosciuk T, Broye LC, Guido BC, Wyckoff J, Riquelme D, Lamar JM, Asokan SB, Whittaker C, Ma D, Langer R, Cima MJ, Wisinski KB, Hynes RO, Lauffenburger DA, Keely PJ, Bear JE, Gertler FB. Tumor Cell-Driven Extracellular Matrix Remodeling Drives Haptotaxis during Metastatic Progression. Cancer Discov. 2016;6(5):516-31.
Morris MK, Saez-Rodriguez J, Clarke DC, Sorger PK, Lauffenburger DA. Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli. PLoS Comput Biol. 2011;7(3):e1001099.
Pritchard JR, Cosgrove BD, Hemann MT, Griffith LG, Wands JR, Lauffenburger DA. Three-kinase inhibitor combination recreates multipathway effects of a geldanamycin analogue on hepatocellular carcinoma cell death. Mol Cancer Ther. 2009;8(8):2183-92.
Miller MA, Moss ML, Powell G, Petrovich R, Edwards L, Meyer AS, Griffith LG, Lauffenburger DA. Targeting autocrine HB-EGF signaling with specific ADAM12 inhibition using recombinant ADAM12 prodomain. Sci Rep. 2015;5:15150.
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Kim H-D, Meyer AS, Wagner JP, Alford SK, Wells A, Gertler FB, Lauffenburger DA. Signaling network state predicts twist-mediated effects on breast cell migration across diverse growth factor contexts. Mol Cell Proteomics. 2011;10(11):M111.008433.
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Naegle KM, White FM, Lauffenburger DA, Yaffe MB. Robust co-regulation of tyrosine phosphorylation sites on proteins reveals novel protein interactions. Mol Biosyst. 2012;8(10):2771-82.
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.
Miller MA, Oudin MJ, Sullivan RJ, Wang SJ, Meyer AS, Im H, Frederick DT, Tadros J, Griffith LG, Lee H, Weissleder R, Flaherty KT, Gertler FB, Lauffenburger DA. Reduced Proteolytic Shedding of Receptor Tyrosine Kinases Is a Post-Translational Mechanism of Kinase Inhibitor Resistance. Cancer Discov. 2016;6(4):382-99.
Wagner JP, Wolf-Yadlin A, Sevecka M, Grenier JK, Root DE, Lauffenburger DA, MacBeath G. Receptor tyrosine kinases fall into distinct classes based on their inferred signaling networks. Sci Signal. 2013;6(284):ra58.
Meyer AS, Miller MA, Gertler FB, Lauffenburger DA. The receptor AXL diversifies EGFR signaling and limits the response to EGFR-targeted inhibitors in triple-negative breast cancer cells. Sci Signal. 2013;6(287):ra66.
Kreeger PK, Mandhana R, Alford SK, Haigis KM, Lauffenburger DA. RAS mutations affect tumor necrosis factor-induced apoptosis in colon carcinoma cells via ERK-modulatory negative and positive feedback circuits along with non-ERK pathway effects. Cancer Res. 2009;69(20):8191-9.
Kleiman LB, Maiwald T, Conzelmann H, Lauffenburger DA, Sorger PK. Rapid phospho-turnover by receptor tyrosine kinases impacts downstream signaling and drug binding. Mol Cell. 2011;43(5):723-37.
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Lazzara MJ, Lauffenburger DA. Quantitative modeling perspectives on the ErbB system of cell regulatory processes. Exp Cell Res. 2009;315(4):717-25.
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.
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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Hughes SK, Oudin MJ, Tadros J, Neil J, Del Rosario A, Joughin BA, Ritsma L, Wyckoff J, Vasile E, Eddy R, Philippar U, Lussiez A, Condeelis JS, van Rheenen J, White F, Lauffenburger DA, Gertler FB. PTP1B-dependent regulation of receptor tyrosine kinase signaling by the actin-binding protein Mena. Mol Biol Cell. 2015;26(21):3867-78.
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.
Miller MA, Barkal L, Jeng K, Herrlich A, Moss M, Griffith LG, Lauffenburger DA. Proteolytic Activity Matrix Analysis (PrAMA) for simultaneous determination of multiple protease activities. Integr Biol (Camb). 2011;3(4):422-38.
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.
Pritchard JR, Bruno PM, Hemann MT, Lauffenburger DA. Predicting cancer drug mechanisms of action using molecular network signatures. Mol Biosyst. 2013;9(7):1604-19.
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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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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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