Publications

Found 20 results
Title [ Type(Desc)] Year
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Book Chapter
Joughin BA, Cheung E, Murthy KRK, Saez-Rodriguez J, Lauffenburger DA, Liu ET. Cellular Regulatory Networks. In Systems Biomedicine: Concepts and Perspectives. San Diego, CA: Academic Press; 2009. pp. 57-108.
Journal Article
Kreeger PK, Lauffenburger DA. Cancer systems biology: a network modeling perspective. Carcinogenesis. 2010;31(1):2-8.
Tape CJ, Norrie IC, Worboys JD, Lim L, Lauffenburger DA, Jørgensen C. Cell-specific labeling enzymes for analysis of cell-cell communication in continuous co-culture. Mol Cell Proteomics. 2014;13(7):1866-76.
Radhakrishnan ML, Tidor B. Cellular level models as tools for cytokine design. Biotechnol Prog. 2010;26(4):919-37.
Oudin MJ, Hughes SK, Rohani N, Moufarrej MN, Jones JG, Condeelis JS, Lauffenburger DA, Gertler FB. Characterization of the expression of the pro-metastatic Mena(INV) isoform during breast tumor progression. Clin Exp Metastasis. 2016;33(3):249-61.
Chen WW, Niepel M, Sorger PK. Classic and contemporary approaches to modeling biochemical reactions. Genes Dev. 2010;24(17):1861-75.
Levin VA, Tonge PJ, Gallo JM, Birtwistle MR, Dar AC, Iavarone A, Paddison PJ, Heffron TP, Elmquist WF, Lachowicz JE, Johnson TW, White FM, Sul J, Smith QR, Shen W, Sarkaria JN, Samala R, Wen PY, Berry DA, Petter RC. CNS Anticancer Drug Discovery and Development Conference White Paper. Neuro Oncol. 2015;17 Suppl 6:vi1-26.
Reticker-Flynn NE, Braga Malta DF, Winslow MM, Lamar JM, Xu MJ, Underhill GH, Hynes RO, Jacks TE, Bhatia SN. A combinatorial extracellular matrix platform identifies cell-extracellular matrix interactions that correlate with metastasis. Nat Commun. 2012;3:1122.
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.
Toni T, Tidor B. Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biology. PLoS Comput Biol. 2013;9(3):e1002960.
Jiang H, Reinhardt HC, Bartkova J, Tommiska J, Blomqvist C, Nevanlinna H, Bartek J, Yaffe MB, Hemann MT. The combined status of ATM and p53 link tumor development with therapeutic response. Genes Dev. 2009;23(16):1895-909.
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.
Kholodenko B, Yaffe MB, Kolch W. Computational approaches for analyzing information flow in biological networks. Sci Signal. 2012;5(220):re1.
Zaman MH, Kamm RD, Matsudaira P, Lauffenburger DA. Computational model for cell migration in three-dimensional matrices. Biophys J. 2005;89(2):1389-97.
Curran TG, Bryson BD, Reigelhaupt M, Johnson H, White FM. Computer aided manual validation of mass spectrometry-based proteomic data. Methods. 2013;61(3):219-26.
Hagen DR, White JK, Tidor B. Convergence in parameters and predictions using computational experimental design. Interface Focus. 2013;3(4):20130008.
Buck LD, Inman SW, Rusyn I, Griffith LG. Co-regulation of primary mouse hepatocyte viability and function by oxygen and matrix. Biotechnol Bioeng. 2014;111(5):1018-27.
Liu H, Ong S-E, Badu-Nkansah K, Schindler J, White FM, Hynes RO. CUB-domain-containing protein 1 (CDCP1) activates Src to promote melanoma metastasis. Proc Natl Acad Sci U S A. 2011;108(4):1379-84.
Janes KA, Reinhardt HC, Yaffe MB. Cytokine-induced signaling networks prioritize dynamic range over signal strength. Cell. 2008;135(2):343-54.
Hu Y, Atukorale PU, Lu JJ, Moon JJ, Um SH, Cho EC, Wang Y, Chen J, Irvine DJ. Cytosolic delivery mediated via electrostatic surface binding of protein, virus, or siRNA cargos to pH-responsive core-shell gel particles. Biomacromolecules. 2009;10(4):756-65.