Jennifer Linderman | Faculty
University of Pennsylvania
PhD Chemical and Biochemical Engineering '87
MSE Chemical and Biochemical Engineering '84
University of Rochester
BS ChE '82
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.
- ChE 230, Thermodynamics I
- ChE 342, Heat and Mass Transfer
- ChE 344, Chemical Reaction Engineering
- ChE 490, Directed Study & Research
- 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
- Micro 505, Cellular Biotechnology
- BME 590, Directed Research
- 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
- 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.