Publications

Found 10 results
Title Type [ Year(Asc)]
Filters: Keyword is Neoplasms and Author is Lauffenburger, Douglas A  [Clear All Filters]
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.
2013
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.
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.
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.
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.
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.
2011
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.
2010
Kreeger PK, Lauffenburger DA. Cancer systems biology: a network modeling perspective. Carcinogenesis. 2010;31(1):2-8.
2006
Zaman MH, Trapani LM, Sieminski AL, Siemeski A, Mackellar D, Gong H, Kamm RD, Wells A, Lauffenburger DA, Matsudaira P. Migration of tumor cells in 3D matrices is governed by matrix stiffness along with cell-matrix adhesion and proteolysis. Proc Natl Acad Sci U S A. 2006;103(29):10889-94.