Publications

Found 50 results
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Filters: Keyword is Humans and Author is Lauffenburger, Douglas A  [Clear All Filters]
2015
Schlomann U, Koller G, Conrad C, Ferdous T, Golfi P, Garcia AMolejon, Höfling S, Parsons M, Costa P, Soper R, Bossard M, Hagemann T, Roshani R, Sewald N, Ketchem RR, Moss ML, Rasmussen FH, Miller MA, Lauffenburger DA, Tuveson DA, Nimsky C, Bartsch JW. ADAM8 as a drug target in pancreatic cancer. Nat Commun. 2015;6:6175.
2014
Zhao B, Hemann MT, Lauffenburger DA. Intratumor heterogeneity alters most effective drugs in designed combinations. Proc Natl Acad Sci U S A. 2014;111(29):10773-8.
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.
2013
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.
Pritchard JR, Bruno PM, Gilbert LA, Capron KL, Lauffenburger DA, Hemann MT. Defining principles of combination drug mechanisms of action. Proc Natl Acad Sci U S A. 2013;110(2):E170-9.
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.
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.
Chen C-H, Miller MA, Sarkar A, Beste MT, Isaacson KB, Lauffenburger DA, Griffith LG, Han J. Multiplexed protease activity assay for low-volume clinical samples using droplet-based microfluidics and its application to endometriosis. J Am Chem Soc. 2013;135(5):1645-8.
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.
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.
2012
Meyer AS, Hughes-Alford SK, Kay JE, Castillo A, Wells A, Gertler FB, Lauffenburger DA. 2D protrusion but not motility predicts growth factor-induced cancer cell migration in 3D collagen. J Cell Biol. 2012;197(6):721-9.
Tentner AR, Lee MJ, Ostheimer GJ, Samson LD, Lauffenburger DA, Yaffe MB. Combined experimental and computational analysis of DNA damage signaling reveals context-dependent roles for Erk in apoptosis and G1/S arrest after genotoxic stress. Mol Syst Biol. 2012;8:568.
Stains CI, Tedford NC, Walkup TC, Luković E, Goguen BN, Griffith LG, Lauffenburger DA, Imperiali B. Interrogating signaling nodes involved in cellular transformations using kinase activity probes. Chem Biol. 2012;19(2):210-7.
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.
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.
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.
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.
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.
Pritchard JR, Lauffenburger DA, Hemann MT. Understanding resistance to combination chemotherapy. Drug Resist Updat. 2012;15(5-6):249-57.
2011
Pritchard JR, Gilbert LA, Meacham CE, Ricks JL, Jiang H, Lauffenburger DA, Hemann MT. Bcl-2 family genetic profiling reveals microenvironment-specific determinants of chemotherapeutic response. Cancer Res. 2011;71(17):5850-8.
Saez-Rodriguez J, Alexopoulos LG, Zhang M, Morris MK, Lauffenburger DA, Sorger PK. Comparing signaling networks between normal and transformed hepatocytes using discrete logical models. Cancer Res. 2011;71(16):5400-11.
Bagheri N, Shiina M, Lauffenburger DA, Korn WM. A dynamical systems model for combinatorial cancer therapy enhances oncolytic adenovirus efficacy by MEK-inhibition. PLoS Comput Biol. 2011;7(2):e1001085.
Jiang H, Pritchard JR, Williams RT, Lauffenburger DA, Hemann MT. A mammalian functional-genetic approach to characterizing cancer therapeutics. Nat Chem Biol. 2011;7(2):92-100.
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.
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.

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