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Jennifer Linderman | Faculty

Jennifer Linderman

Professor, Chemical Engineering and
Director of ADVANCE

B28-G045W NCRC
linderma@umich.edu
(734) 763-0679

 

 

Short Bio

EDUCATION

University of Pennsylvania
PhD Chemical and Biochemical Engineering '87
MSE Chemical and Biochemical Engineering '84

University of Rochester
BS ChE '82

Research & Teaching

RESEARCH INTERESTS

Research in the Linderman group uses approaches from computational and systems biology to understand and manipulate cell responses.  Current work includes:

(1) multi-scale and multi-system approaches to understanding the immune response to Mycobacterium tuberculosis, focusing especially on cytokines, immunomodulation, antibiotic treatment, and generation of appropriate T cells

(2) developing mathematical models of signal transduction pathways, particularly for G-protein coupled receptors, and

(3) identifying potential therapeutic targets in the CXCL12/CXCR4 pathway in breast cancer.

 

COURSES TAUGHT

Undergraduate

  • ChE 230, Thermodynamics I
  • ChE 342, Heat and Mass Transfer
  • ChE 344, Chemical Reaction Engineering
  • ChE 490, Directed Study & Research

Graduate

  • ChE 510, Applied Mathematical Methods in ChE
  • ChE 518, Engineering Fundamentals in Biological Systems
  • ChE 607, Mathematical Modeling in ChE
  • ChE 616, Analysis of Chemical Signaling
  • ChE 696, Special Topics

Other Courses

  • Micro 505, Cellular Biotechnology
  • BME 590, Directed Research

Honors and Awards

  • Harold R. Johnson Diversity Service Award, 2016
    The University of Michigan
  • Fellow, 2000
    American Institute for Medical and Biological Engineering (AIMBE)
  • College of Engineering Teaching Excellence Award, 1997
    University of Michigan
  • Faculty Recognition Award, 1996
    University of Michigan
  • Chemical Engineering Department Excellence in Teaching Award, 1994
    University of Michigan
  • NSF Presidential Young Investigator, 1989-1994
    National Science Foundation

Recent Publications

JOURNAL PUBLICATIONS

  • Linderman JJ, Kirschner DE.  “In silico models of M. tuberculosis infection provide a route to new therapies”, to appear in Drug Discovery Today.
  • Gong C, Linderman JJ, Kirschner DE, “Harnessing the heterogeneity of T cell differentiation fate to fine-tune generation of effector and memory T cells”, Frontiers in T Cell Biology 5: 57.  doi: 10.3389/fimmu.2014.00057,  2014.
  • Gong C, Mattila JT, Miller M, Flynn JL, Linderman JJ, Kirschner, DE.  “Predicting lymph node output efficiency through systems biology”, J. Theor. Biol 335:  169-184, 2013.
  • Cilfone NA, Perry CR, Kirschner DE, Linderman JJ. “Multi-Scale Modeling Predicts a Balance of Tumor Necrosis Factor-α and Interleukin-10 Controls the Granuloma Environment During Mycobacterium tuberculosis Infection, PLoS One 8(7):  e68680, 2013.
  • Jovic A, Wade SM, Neubig RR, Linderman JJ, Takayama S.  “Microfluidic interrogation and mathematical modeling of multi-regime calcium signaling dynamics”, Integrative Biology 5:  932-939, 2013.
  • Fallahi-Sichani M, Kirschner DE, Linderman JJ.  “NF-kB signaling dynamics play a key role in infection control in tuberculosis”, Frontiers in Physiology 3: article 170. doi 10.3389/phy.2012.00170, 2012.
  • Fallahi-Sichani M, Flynn JL, Linderman JJ, Kirschner DE.  “Differential risk of tuberculosis reactivation among anti-TNF therapies is due to drug binding kinetics and permeability and not apoptotic and cytolytic activities”, J. Immunology 188:  3169-3178, 2012.
  • Welliver, TP, Chang SL, Linderman JJ, Swanson JA.  “Ruffles restrict diffusion in the plasma membrane during macropinosome formation”, J. Cell Science 124:  4106-4114, 2011.
  • Slaney TR, Ni J, Hershey,ND, Thwar PK, Linderman J, Burns MA, Kennedy RT.  “Push-pull perfusion sampling with segmented flow for high temporal and spatial resolution in vivo chemical monitoring”, Analytical Chemistry  83(13):  5207-5213, 2011.
  • Jovic A, Wade SM, Miyawaki A, Neubig RR, Linderman JJ, Takayama S.  “Hi-Fi transmission of periodic signals amid cell-to-cell variability”, Molecular BioSystems 7:  2238-2244, 2011.
  • Mirsky HP, Miller M, Linderman JJ, Kirschner DE.  “Systems biology approaches to understanding immune cell dynamics in lymph nodes during infection”, J. Theor. Biology. 287:  160-170, 2011.
  • Comisar WA, Mooney DJ, Linderman JJ.  “Integrin organization:  Linking adhesion ligand nanopatterns with altered cell responses”, J. Theor. Biol. 274:  120-130, 2011.
  • Fallahi-Sichani M, El-Kebir M, Marino S, Kirschner DE, Linderman JJ.  “Multi-scale computational modeling reveals a critical role for TNF receptor dynamics in tuberculosis granuloma formation”, J. Immunology 186:  3472-3483, 2011.
  • Marino S, Linderman JJ, Kirschner DE.  “A multi-faceted approach to modeling the immune response in tuberculosis”, Wiley Interdisciplinary Reviews:  Systems Biology and Medicine 3(4):  479-489, 2011.  DOI:10.1002/wsbm.131, 2010.
  • Jovic A, Howell B, Cote M, Wade SM, Mehta K, Miyawaki A, Neubig RR, Linderman JJ, Takayama S.  “Phase-locked signals elucidate circuit architecture of an oscillatory pathway”, PLoS Computational Biology 6(12): e1001040, 2010.
  • Fallahi-Sichani M, Schaller MA, Kirschner DE, Kunkel SL, Linderman JJ.  “Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma”, PLoS Computational Biology 6(5):  e1000778, 2010.
  • Linderman JJ, Riggs T, Pande M, Miller M, Marino S, Kirschner DE.  “Characterizing the dynamics of CD4+ T cell priming within a lymph node”, J. Immunology 184:  2873-2885, 2010.
  • Mehta, K., Mehta, G., Takayama, S., Linderman, J., “Quantitative inference of cellular parameters from microfluidic cell culture systems”, Biotechnology and Bioengineering 103: 966-974, 2009.
  • Mehta, G., Lee, J., Cha, W., Tung, Y., Linderman, J.J., Takayama, S., “Hard top soft bottom microfluidic devices for cell culture and chemical analysis”, Analytical Chemistry 81:  3714-3722, 2009.
  • Fallahi-Sichani, M., Linderman, J.J., “Lipid raft-mediated regulation of G-protein coupled receptorsignaling by ligands which influence receptor dimerization:  A computational study”, PLOS One 4:  e6604, 2009.
  • Mehta, K., Hoppe, A.D., Kainkaryam, R., Woolf, P.J., Linderman, J.J., “A computational approach to inferring cellular protein binding affinities from quantitative fluorescence resonance energy transfer imaging”, Proteomics 9:  5371-5385, 2009.
  • Linderman, J.J., “Modeling of G-protein coupled receptor signaling pathways”, J. Biological Chemistry 284:  5427-5431, 2009.

Kirschner, D.E., Linderman, J.J., “Mathematical and computational approaches can complement experimental studies of host-pathogen interactions”, Cellular Microbiology 11:  531-539, 2009.
  • Brinkerhoff CJ, Traynor JR, Linderman JJ. Collision coupling, crosstalk, and compartmentalization in G-protein coupled receptor systems: Can a single model explain disparate results? J Theor Biol 255: 278-286, 2008.
  • Chang ST, Linderman JJ, Kirschner DE. The effect of multiple polymorphisms on antigen presentation and susceptibility to M. Tuberculosis infection. Infection Immunity 76:  3221-3232, 2008.
  • Clark MJ, Linderman JJ, Traynor JR. Endogenous RGS proteins differentially modulate full and partial mu-opioid agonists at adenylyl cyclase as predicted by a collision coupling model. Molec Pharmacol 73: 1538-1548, 2008.
  • Brinkerhoff CJ, Choi JS, Linderman JJ. Diffusion-limited reactions in G-protein activation:  Unexpected consequences of agonist and antagonist competition. J Theor Biol 251:  561-569, 2008.
  • Riggs T, Walts A, Perry N, Bickle L, Lynch JN, Myers A, Flynn J, Linderman JJ, Miller MJ, Kirschner DE. A comparison of random vs. chemotaxis driven contacts of T cells with dendritic cells during repertoire scanning. J Theor Biol 250:  732-751, 2008.
  • Thwar P, Linderman JJ, Burns MA. Electrode-less DC dielectrophoresis using reconfigurable field-shaping oil barriers. Electrophoresis 28:  4572-4581, 2007.
  • Comisar W, Kazmers NH, Mooney DJ and Linderman JJ.  Engineering RGD nanopatterned hydrogels to control preosteoblast behavior:  A combined computational and experimental approach.  Biomaterials 28:  4409-4417, 2007.
  • Mehta G, Kiel MJ, Lee JW, Kotov N, Linderman JJ, Takayama S.  Polyelectrolyte-clay-protein layer films on microfluidic PDMS bioreactor surfaces for primary murine bone marrow culture.  Adv Functional Materials 17:  2701-2709, 2007.
  • Kirschner DE, Chang ST, Riggs T, Perry N, Linderman JJ. Toward a multi-scale model of antigen presentation in immunity. Immunological Rev 216:  93-118, 2007.
  • Mehta G, Mehta K, Sud D, Song J, Bersano-Begey T, Futai N, Mycek M, Linderman JJ, Takayama S.  Quantitiative oxygen measurements and analysis of cellular oxygen uptake in microfluidic poly(dimethylsiloxane) bioreactors. Biomedical Microdevices 9:  123-134, 2007.
  • Kinzer-Ursem TL, Linderman JJ.  Both ligand- and cell-specific parameters control ligand agonism in a kinetic model of G protein coupled receptor signaling. PLOS Computational Biol 3:  e6, 2007.
  • Thwar PK, Guptaroy B, Gnegy ME, Burns MA, Linderman JJ.  A simple transporter trafficking model for amphetamine-induced dopamine efflux. Synapse 61:  500-514, 2007.
  • Brinkerhoff, C, and Linderman, JJ, “Integrin dimerization and ligand arrangement: Key components in integrin clustering for cell adhesion”, Tissue Engineering 11: 865-876, 2005.
  • Chang, ST, Linderman, JJ, and Kirshner, DE, “Multiple mechanisms allow Mycobacterium tuberculosis to continuously inhibit MHC class II-mediated antigen presentation by macrophages”, PNAS 102: 4530-4535, 2005. This paper was highlighted in the “Research Roundup” feature of the Journal of Cell Biology (“TB bug inhibits any which way”, J. Cell Biol. 168: 896, 2005).
  • Chang, PS, Axelrod, D, Omann, GM, and Linderman, JJ, “G-protein threshold behavior in the human neutrophil oxidant response: Measurement of G-proteins available for signaling in responding and nonresponding subpopulations”, Cellular Signalling 17: 605-614, 2005.

BOOKS AND BOOK CHAPTERS

  • Fallahi-Sichani M, Marino S, Flynn JL, Linderman JJ, Kirschner DE.  “A systems biology approach for understanding granuloma formation and function in tuberculosis”, in Systems Biology of Tuberculosis, J McFadden, DJV Beste, AM Kierzek, eds.  Springer, 2012.
  • Marino S, Fallahi-Sichani M, Linderman JJ, Kirschner DE.  “Mathematical models of anti-TNF therapies and their correlation with tuberculosis”, in Antibody-mediated Drug Delivery Systems:  Concepts, Technology and Applications, Y. Pathak and S. Benita, eds., John Wiley and Sons, 2012.
  • Jovic, A, Takayama S, Linderman JJ.  “Using microfluidics, real-time imaging and mathematical modeling to study GPCR signaling”, in G protein-coupled receptors:  From Structure to Function (J. Giraldo and J-P Pin, eds.), The Royal Society of Chemistry, 2011.
  • Woolf, P.J., and Linderman, J.J., “From the Static to the Dynamic: Three Models of Signal Transduction in G-protein Coupled Receptors”, in Biomedical Applications of Computer Modeling, A. Christopoulos, ed., pp. 87-108, 2000.
  • Linderman, J.J., “Kinetic Modeling Approaches to Understanding Ligand Efficacy”, The Pharmacology of Functional, Biochemical, and Recombinant Receptor Systems, Handbook of Experimental Pharmacology Volume 148, T. Kenakin and J. A. Angus, eds., Springer-Verlag, pp. 119-146, 2000.
  • Lauffenburger, D.A. and J.J. Linderman, Receptors: Models for Binding, Trafficking, and Signaling, Oxford University Press, 365 pp., 1993. Reprinted in paperback, 1996.
  • Linderman, J.J. and D.A. Lauffenburger, "Receptor/Ligand Sorting Along the Endocytic Pathway", Lecture Notes in Biomathematics, Vol. 78. Springer-Verlag, 165 pp., 1989.