Publications
Found 48 results
Title Type [ Year] Filters: Keyword is Humans and Author is Douglas A Lauffenburger [Clear All Filters]
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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.
. Defining principles of combination drug mechanisms of action. Proc Natl Acad Sci U S A. 2013;110(2):E170-9.
. Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling. PLoS Comput Biol. 2013;9(2):e1002887.
. Models of signalling networks - what cell biologists can gain from them and give to them. J Cell Sci. 2013;126(Pt 9):1913-21.
. 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.
. Predicting cancer drug mechanisms of action using molecular network signatures. Mol Biosyst. 2013;9(7):1604-19.
. . 2D protrusion but not motility predicts growth factor-induced cancer cell migration in 3D collagen. J Cell Biol. 2012;197(6):721-9.
. 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.
. Interrogating signaling nodes involved in cellular transformations using kinase activity probes. Chem Biol. 2012;19(2):210-7.
. Mena binds α5 integrin directly and modulates α5β1 function. J Cell Biol. 2012;198(4):657-76.
. 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.
. 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.
. Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer. Curr Opin Cell Biol. 2012;24(2):284-91.
. Robust co-regulation of tyrosine phosphorylation sites on proteins reveals novel protein interactions. Mol Biosyst. 2012;8(10):2771-82.
. Understanding resistance to combination chemotherapy. Drug Resist Updat. 2012;15(5-6):249-57.
. Bcl-2 family genetic profiling reveals microenvironment-specific determinants of chemotherapeutic response. Cancer Res. 2011;71(17):5850-8.
. Comparing signaling networks between normal and transformed hepatocytes using discrete logical models. Cancer Res. 2011;71(16):5400-11.
. A dynamical systems model for combinatorial cancer therapy enhances oncolytic adenovirus efficacy by MEK-inhibition. PLoS Comput Biol. 2011;7(2):e1001085.
. A mammalian functional-genetic approach to characterizing cancer therapeutics. Nat Chem Biol. 2011;7(2):92-100.
. MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets. PLoS Comput Biol. 2011;7(7):e1002119.
. Proteolytic Activity Matrix Analysis (PrAMA) for simultaneous determination of multiple protease activities. Integr Biol (Camb). 2011;3(4):422-38.
. Rapid phospho-turnover by receptor tyrosine kinases impacts downstream signaling and drug binding. Mol Cell. 2011;43(5):723-37.
. 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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