Douglas Lauffenburger

Douglas Lauffenburger

Ford Professor of Biological Engineering, Chemical Engineering, and Biology

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

16-429

Office

lauffen@mit.edu

Email

Lab Website
Lindsay King

Assistant

617-253-0805

Assistant Phone

Education

  • PhD, 1979, University of Minnesota
  • BS, 1975, Chemical Engineering, University of Illinois, Urbana-Champaign

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

  • Bernard M. Gordon Prize for Innovation in Engineering and Technology Education, National Academy of Engineering, 2021
  • American Association for the Advancement of Science, Member, 2019
  • American Academy of Arts and Sciences, Fellow, 2001
  • John Simon Guggenheim Memorial Foundation, Guggenheim Fellowship, 1989

Recent Publications

  1. Author Correction: AutoTransOP: translating omics signatures without orthologue requirements using deep learning. Meimetis, N, Pullen, KM, Zhu, DY, Nilsson, A, Hoang, TN, Magliacane, S, Lauffenburger, DA. 2024. NPJ Syst Biol Appl 10, 148.
    doi: 10.1038/s41540-024-00456-zPMID:39672816
  2. Humoral correlates of protection against Mycobacterium tuberculosis following intravenous BCG vaccination in rhesus macaques. Irvine, EB, Darrah, PA, Wang, S, Wang, C, McNamara, RP, Roederer, M, Seder, RA, Lauffenburger, DA, Flynn, JL, Fortune, SM et al.. 2024. iScience 27, 111128.
    doi: 10.1016/j.isci.2024.111128PMID:39669431
  3. Markov Field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques. Wang, S, Myers, AJ, Irvine, EB, Wang, C, Maiello, P, Rodgers, MA, Tomko, J, Kracinovsky, K, Borish, HJ, Chao, MC et al.. 2024. bioRxiv , .
    doi: 10.1101/2024.04.13.589359PMID:39554028
  4. Markov field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques. Wang, S, Myers, AJ, Irvine, EB, Wang, C, Maiello, P, Rodgers, MA, Tomko, J, Kracinovsky, K, Borish, HJ, Chao, MC et al.. 2024. Cell Syst 15, 1278-1294.e4.
    doi: 10.1016/j.cels.2024.10.001PMID:39504969
  5. Humoral waning kinetics against SARS-CoV-2 is dictated by disease severity and vaccine platform. Tong, X, Kellman, B, Avendano, MJ, Mendu, M, Hsiao, JC, Serrano, E, Garcia-Salum, T, Muena, N, Pardo-Roa, C, Morales, M et al.. 2024. medRxiv , .
    doi: 10.1101/2024.10.17.24315607PMID:39484236
  6. SARS-CoV-2 infection prior to vaccination amplifies Fc-mediated humoral profiles in an age-dependent manner. Jung, W, Abdelnour, A, Kaplonek, P, Herrero, R, Shih-Lu Lee, J, Barbati, DR, Chicz, TM, Levine, KS, Fantin, RC, RESPIRA study group et al.. 2024. Cell Rep 43, 114684.
    doi: 10.1016/j.celrep.2024.114684PMID:39213155
  7. Recovering biomolecular network dynamics from single-cell omics data requires three time points. Wang, S, Al-Radhawi, MA, Lauffenburger, DA, Sontag, ED. 2024. NPJ Syst Biol Appl 10, 97.
    doi: 10.1038/s41540-024-00424-7PMID:39191787
  8. Inference of drug off-target effects on cellular signaling using interactome-based deep learning. Meimetis, N, Lauffenburger, DA, Nilsson, A. 2024. iScience 27, 109509.
    doi: 10.1016/j.isci.2024.109509PMID:38591003
  9. Placental transfer dynamics and durability of maternal COVID-19 vaccine-induced antibodies in infants. Lopez, PA, Nziza, N, Chen, T, Shook, LL, Burns, MD, Demidkin, S, Jasset, O, Akinwunmi, B, Yonker, LM, Gray, KJ et al.. 2024. iScience 27, 109273.
    doi: 10.1016/j.isci.2024.109273PMID:38444609
  10. Distinctive antibody responses to Mycobacterium tuberculosis in pulmonary and brain infection. Spatola, M, Nziza, N, Irvine, EB, Cizmeci, D, Jung, W, Van, LH, Nhat, LTH, Ha, VTN, Phu, NH, Ho, DTN et al.. 2024. Brain 147, 3247-3260.
    doi: 10.1093/brain/awae066PMID:38442687
More Publications
Photo credit: Kathy Wittman