Doug Lauffenburager, Ph.D.
Ford Professor of Bioengineering
Head, Department of Biological Engineering
Chair, CSBi Steering Committee
Professor, Department of Biology and Department of Chemical Engineering
B.S., Chemical Engineering, University of Illinois, 1975
Ph.D. Chemical Engineering, University of Minnesota, 1979
Member, Center for Biomedical Engineering, 1995-present (Director, 1995-1998)
Member, Center for Environmental Health Sciences, 1998-present
Affiliate, Koch Institute for Integrative Cancer Research, 1999-present
Affiliate, Center for Gynepathology Research, 2010-present
Executive Committee, MIT Computational and Systems Biology Initiative (CSBi)
Research in the Lauffenburger laboratory focuses on receptor-mediated
regulation of mammalian cell behavioral functions such as proliferation,
adhesion, migration, differentiation, and death. A central paradigm of
our work is development and testing of computational models -- based on
principles from engineering analysis and synthesis -- for receptor
regulation of cell function by exploiting techniques of molecular
biology to alter parameters characterizing receptor or ligand properties
in well-characterized cell systems. Quantitative experimental assays are
used to measure cell functions, receptor/ligand interaction parameters,
and signaling network dynamics. Problems are primarily motivated by
health care technologies of interest to pharmaceutical and
biotechnological companies, and emphasize multi-disciplinary
collaborative interactions, The Lauffenburger laboratory is located in
Bldgs 16 and 56, and comprises approximately 12 graduate students, 6
postdocs and 2 research staff members. The graduate students in the
group come from Biological Engineering, Biology, and Chemical
Engineering as well as from Computational & Systems Biology. Student and
postdoc projects generally combine both experimental and computational
Research in Computational and Systems Biology
Experimental and computational analysis of cell signaling networks.
Design of improved molecular therapeutics, including protein- and
nucleic acid-based drugs Over the past three years, the Lauffenburger
group has participated in multi-investigator projects developing and
applying experimental and computational methods to the analysis of
signal transduction in cell migration, differentiation, and
death/survival decisions. We have emphasized quantitative,
multi-parametric/multi-variable dynamic experimental measurement of
signaling pathway activities and consequent cell function responses to
receptor activation by binding of extracellular ligands including
cytokines, growth factors, and extracellular matrix proteins. Complex
pathologies such as inflammatory diseases and cancer are a major area of
Gertler Lab, MIT; Griffith Lab, MIT; Han Lab, MIT; Hemann Lab, MIT;
Irvine Lab, MIT; Kamm Lab, MIT; Love Lab, MIT; White Lab, MIT; Yaffe
J. Burke, Boehringer-Ingelheim; R.B. Jones, University of Chicago; P.K.
Sorger, Harvard Medical School; A. Wells, University of Pittsburgh
Medical Center; H.S. Wiley, Pacific Northwest National Laboratory.
Doug Lauffenburger serves as PI of the MIT NCI Tumor Cell Networks
Center grant, co-PI of the MIT NIGMS Cell Decision Processes Center, and
co-PI of the MIT DOD Institute for Collaborative Biotechnologies.
- Miller-Jensen K.E., K.A. Janes, J.S. Brugge, and D.A.
Lauffenburger, "Common Effector Processing Mediates Cell-Specific
Responses to Stimuli", Nature 448: 604-608 (2007).
- Kumar, N., A. Wolf-Yadlin, F.M. White, and D.A. Lauffenburger,
"Modeling HER2 Effects on Cell Behavior from Mass Spectrometry
Phosphotyrosine Data", Public Library Sci. Comp. Biol. 3: e4 (2007).
- Cosgrove, B.D., L.G. Griffith, and D.A. Lauffenburger, "Fusing
Tissue Engineering and Systems Biology toward Fulfilling their
Promise", Cell. Molec. Bioeng. 1: 33-41 (2008).
- Palmer, M.J., V.S. Mahajan, L.C. Trajman, D.J. Irvine, D.A.
Lauffenburger, and J. Chen, "Interleukin-7 Receptor Signaling
Network: an Integrated Systems Perspective", Cell. Molec. Immunol.
5: 79-89 (2008).
- Pritchard, J.R., B.D. Cosgrove, M.T. Hemann, L.G. Griffith, J.R.
Wands, and D.A. Lauffenburger, "Three-Kinase Inhibitor Combination
Recreates Multi-Pathway Effects of a Geldanamycin Analog on
Hepatocellular Carcinoma Cell Death", Molec. Cancer Therapeutics
8: 2183-2192 (2009).
- Kreeger, P.K. and D.A. Lauffenburger, "Cancer Systems Biology: A
Network Modeling Perspective", Carcinogenesis 31: 2-8 (2010).
- Cosgrove, B.D., L.G. Alexopoulos, T.-c. Hang, B.S. Hendriks, P.K.
Sorger, L.G. Griffith, and D.A. Lauffenburger,
"Cytokine-Associated Drug Toxicity in Human Hepatocytes is
Associated with Signaling Network Dysregulation", Molec. BioSyst.
6: 1195-1206 (2010).
- Naegle, K.M., M. Gymrek, B.A. Joughin, J.P. Wagner, R.E. Welsch,
M.B. Yaffe, D.A. Lauffenburger, and F.M. White, "PTMScout: A Web
Resource for Analysis of High-Throughput Post-Translational
Proteomic Studies", Molec. Cell. Proteomics 9: 2558-2570 (2010).
- Morris, M.K., J. Saez-Rodriguez, P.K. Sorger, and D.A.
Lauffenburger, "Logic-Based Models for the Analysis of Cell
Signaling Networks", Biochemistry 49: 3216-3224 (2010).
Last Updated: January 19, 2011