Douglas Lauffenburger

Douglas Lauffenburger

Ford Professor of Biological Engineering, Chemical Engineering, and Biology; Head, Department of Biological Engineering

Douglas Lauffenburger fosters the interface of bioengineering, quantitative cell biology, and systems biology to determine fundamental aspects of cell dysregulation — identifying and testing new therapeutic ideas.

617-252-1629

Phone

16-343

Office

Gerri Powers

Assistant

617-253-7420

Assistant Phone

Education

PhD 1979, University of Minnesota

Research Summary

The Lauffenburger laboratory emphasizes integration of experimental and mathematical/computational analysis approaches, toward development and validation of predictive models for physiologically-relevant behavior in terms of underlying molecular and molecular network properties. Our work has been recognized as providing contributions fostering the interface of bioengineering, quantitative cell biology, and systems biology. Our main focus has been on fundamental aspects of cell dysregulation, complemented by translational efforts in identifying and testing new therapeutic ideas. Applications addressed have chiefly resided in various types of cancer (including breast, colon, lung, and pancreatic cancers along with leukemias and lymphomas), inflammatory pathologies (such as endometriosis, Crohn's disease, colitis, rheumatoid arthritis, and Alzheimer's disease), and the immune system (mainly for vaccines against pathogens such as HIV, malaria, and tuberculosis). We have increasingly emphasized complex tissue contexts, including mouse models, human subjects, and tissue-engineered micro-physiological systems platforms in association with outstanding collaborators. From our laboratory have come more than 100 doctoral and postdoctoral trainees. Many hold faculty positions at academic institutions in the USA, Canada, and Europe; others have gone on to research positions in biotechnology and pharmaceutical companies; and others yet have moved into policy and government agency careers.

Awards

  • American Academy of Arts and Sciences, Fellow, 2001
  • John Simon Guggenheim Memorial Foundation, Guggenheim Fellowship, 1989

Key Publications

  1. Oncogenic KRAS Regulates Tumor Cell Signaling via Stromal Reciprocation. Tape, CJ, Ling, S, Dimitriadi, M, McMahon, KM, Worboys, JD, Leong, HS, Norrie, IC, Miller, CJ, Poulogiannis, G, Lauffenburger, DA et al.. 2016. Cell 165, 1818.
    doi: 10.1016/j.cell.2016.05.079PMID:27315484
  2. Reduced Proteolytic Shedding of Receptor Tyrosine Kinases Is a Post-Translational Mechanism of Kinase Inhibitor Resistance. Miller, MA, Oudin, MJ, Sullivan, RJ, Wang, SJ, Meyer, AS, Im, H, Frederick, DT, Tadros, J, Griffith, LG, Lee, H et al.. 2016. Cancer Discov 6, 382-99.
    doi: 10.1158/2159-8290.CD-15-0933PMID:26984351
  3. CD4+ T cell-dependent and CD4+ T cell-independent cytokine-chemokine network changes in the immune responses of HIV-infected individuals. Arnold, KB, Szeto, GL, Alter, G, Irvine, DJ, Lauffenburger, DA. 2015. Sci Signal 8, ra104.
    doi: 10.1126/scisignal.aab0808PMID:26486173
  4. The AXL Receptor is a Sensor of Ligand Spatial Heterogeneity. Meyer, AS, Zweemer, AJ, Lauffenburger, DA. 2015. Cell Syst 1, 25-36.
    doi: 10.1016/j.cels.2015.06.002PMID:26236777
  5. Intratumor heterogeneity alters most effective drugs in designed combinations. Zhao, B, Hemann, MT, Lauffenburger, DA. 2014. Proc. Natl. Acad. Sci. U.S.A. 111, 10773-8.
    doi: 10.1073/pnas.1323934111PMID:25002493

Recent Publications

  1. Computational translation of genomic responses from experimental model systems to humans. Brubaker, DK, Proctor, EA, Haigis, KM, Lauffenburger, DA. 2019. PLoS Comput. Biol. 15, e1006286.
    doi: 10.1371/journal.pcbi.1006286PMID:30629591
  2. Multivariate Computational Analysis of Gamma Delta T Cell Inhibitory Receptor Signatures Reveals the Divergence of Healthy and ART-Suppressed HIV+ Aging. Belkina, AC, Starchenko, A, Drake, KA, Proctor, EA, Pihl, RMF, Olson, A, Lauffenburger, DA, Lin, N, Snyder-Cappione, JE. 2018. Front Immunol 9, 2783.
    doi: 10.3389/fimmu.2018.02783PMID:30568654
  3. Systems Modeling Identifies Divergent Receptor Tyrosine Kinase Reprogramming to MAPK Pathway Inhibition. Claas, AM, Atta, L, Gordonov, S, Meyer, AS, Lauffenburger, DA. 2018. Cell Mol Bioeng 11, 451-469.
    doi: 10.1007/s12195-018-0542-yPMID:30524510
  4. Integrated mapping of pharmacokinetics and pharmacodynamics in a patient-derived xenograft model of glioblastoma. Randall, EC, Emdal, KB, Laramy, JK, Kim, M, Roos, A, Calligaris, D, Regan, MS, Gupta, SK, Mladek, AC, Carlson, BL et al.. 2018. Nat Commun 9, 4904.
    doi: 10.1038/s41467-018-07334-3PMID:30464169
  5. Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor Characteristics. Kumar, MP, Du, J, Lagoudas, G, Jiao, Y, Sawyer, A, Drummond, DC, Lauffenburger, DA, Raue, A. 2018. Cell Rep 25, 1458-1468.e4.
    doi: 10.1016/j.celrep.2018.10.047PMID:30404002
  6. Route of immunization defines multiple mechanisms of vaccine-mediated protection against SIV. Ackerman, ME, Das, J, Pittala, S, Broge, T, Linde, C, Suscovich, TJ, Brown, EP, Bradley, T, Natarajan, H, Lin, S et al.. 2018. Nat. Med. 24, 1590-1598.
    doi: 10.1038/s41591-018-0161-0PMID:30177821
  7. ADAM10 Sheddase Activity is a Potential Lung-Cancer Biomarker. Yoneyama, T, Gorry, M, Sobo-Vujanovic, A, Lin, Y, Vujanovic, L, Gaither-Davis, A, Moss, ML, Miller, MA, Griffith, LG, Lauffenburger, DA et al.. 2018. J Cancer 9, 2559-2570.
    doi: 10.7150/jca.24601PMID:30026855
  8. Exploiting glycan topography for computational design of Env glycoprotein antigenicity. Yu, WH, Zhao, P, Draghi, M, Arevalo, C, Karsten, CB, Suscovich, TJ, Gunn, B, Streeck, H, Brass, AL, Tiemeyer, M et al.. 2018. PLoS Comput. Biol. 14, e1006093.
    doi: 10.1371/journal.pcbi.1006093PMID:29677181
  9. The colonic epithelium plays an active role in promoting colitis by shaping the tissue cytokine profile. Lyons, J, Ghazi, PC, Starchenko, A, Tovaglieri, A, Baldwin, KR, Poulin, EJ, Gierut, JJ, Genetti, C, Yajnik, V, Breault, DT et al.. 2018. PLoS Biol. 16, e2002417.
    doi: 10.1371/journal.pbio.2002417PMID:29596476
  10. Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies. Edington, CD, Chen, WLK, Geishecker, E, Kassis, T, Soenksen, LR, Bhushan, BM, Freake, D, Kirschner, J, Maass, C, Tsamandouras, N et al.. 2018. Sci Rep 8, 4530.
    doi: 10.1038/s41598-018-22749-0PMID:29540740
More Publications
Photo credit: Kathy Wittman