Jeffrey J. Saucerman


  • PhD, University of California at San Diego

Primary Appointment

  • Assistant Professor, Biomedical Engineering


Research Interest(s)

Roles of complex signaling networks involved in the regulation of cardiovascular function and disease

Research Description

Cell signaling networks coordinate a wide variety of cellular physiology and gene regulatory programs. Perturbations in these signaling networks contribute to the pathogenesis of many diseases, including cardiovascular disease, cancer and diabetes. One explanation for the remarkable ability of complex signaling networks to control the cell is the use of temporal and spatial strategies, such as feedback and compartmentation. Understanding of these sophisticated control mechanisms will require an integration of experimental and computational systems biology.

Our lab is particularly interested in the roles of complex signaling networks involved in the regulation of cardiovascular function and disease. We perform quantitative live-cell imaging of signaling dynamics and develop quantitative models to explain how signaling networks function. These systems approaches are currently helping us characterize mechanisms underlying regulation of cardiac contractility, ischemic heart disease, and pathways leading to cardiac growth. Such quantitative understanding will be critical for the future rational design of therapeutic agents for cardiovascular disease.

Current Projects:

1) Multi-scale integration from cell signaling networks to cardiac MRI 2) Nonlinear systems analysis of complex biochemical networks 3) Calcium signaling pathways regulating cardiac contractility and growth 4) Compartmentation of cAMP signaling in cardiac myocytes

Selected Publications

  • Kenwood B, Weaver J, Bajwa A, Poon I, Byrne F, Murrow B, Calderone J, Huang L, Divakaruni A, Tomsig J, Okabe K, Lo R, Cameron Coleman G, Columbus L, Yan Z, Saucerman J, Smith J, Holmes J, Lynch K, Ravichandran K, Uchiyama S, Santos W, Rogers G, Okusa M, Bayliss D, Hoehn K. Identification of a novel mitochondrial uncoupler that does not depolarize the plasma membrane. Molecular metabolism. 2014;3(2): 114-23. PMID: 24634817 | PMCID: PMC3953706
  • Saucerman J, Greenwald E, Polanowska-Grabowska R. Mechanisms of cyclic AMP compartmentation revealed by computational models. The Journal of general physiology. 2014;143(1): 39-48. PMID: 24378906 | PMCID: PMC3874575
  • Modeling mitochondrial ROS: a great balancing act. Biophysical journal. 2013;105(6): 1287-8. PMID: 24047977 | PMCID: PMC3829394
  • Cui W, Zhao S, Polanowska-Grabowska R, Wang J, Wei J, Dash B, Chang S, Saucerman J, Gu J, Li M. Identification and Characterization of Poly(I:C)-induced Molecular Responses Attenuated by Nicotine in Mouse Macrophages. Molecular pharmacology. 2012. PMID: 23028093 | PMCID: PMC3533466
  • Raynor L, Saucerman J, Akinola M, Lake D, Moorman J, Fairchild K. Cytokine screening identifies NICU patients with Gram-negative bacteremia. Pediatric research. 2012;71(3): 261-6. PMID: 22278182 | PMCID: PMC3552187
  • Ryall K, Holland D, Delaney K, Kraeutler M, Parker A, Saucerman J. Network reconstruction and systems analysis of cardiac myocyte hypertrophy signaling. The Journal of biological chemistry. 2012;287(50): 42259-68. PMID: 23091058 | PMCID: PMC3516769
  • Ryall K, Saucerman J. Automated imaging reveals a concentration dependent delay in reversibility of cardiac myocyte hypertrophy. Journal of molecular and cellular cardiology. 2012;53(2): 282-90. PMID: 22575844 | PMCID: PMC3389167
  • Bass G, Ryall K, Katikapalli A, Taylor B, Dang S, Acton S, Saucerman J. Automated image analysis identifies signaling pathways regulating distinct signatures of cardiac myocyte hypertrophy. Journal of molecular and cellular cardiology. 2011;52(5): 923-30. PMID: 22142594 | PMCID: PMC3299901
  • Greenwald E, Saucerman J. Bigger, better, faster: principles and models of AKAP anchoring protein signaling. Journal of cardiovascular pharmacology. 2011;58(5): 462-9. PMID: 21562426 | PMCID: PMC3173587
  • Holland D, Krainak N, Saucerman J. Graphical approach to model reduction for nonlinear biochemical networks. PloS one. 2011;6(8): e23795. PMID: 21901136 | PMCID: PMC3162006
  • Saucerman J, Bers D. Calmodulin binding proteins provide domains of local Ca2+ signaling in cardiac myocytes. Journal of molecular and cellular cardiology. 2011;52(2): 312-6. PMID: 21708171 | PMCID: PMC3235247
  • Yang J, Saucerman J. Computational models reduce complexity and accelerate insight into cardiac signaling networks. Circulation research. 2011;108(1): 85-97. PMID: 21212391 | PMCID: PMC3076046
  • Benedict K, Mac Gabhann F, Amanfu R, Chavali A, Gianchandani E, Glaw L, Oberhardt M, Thorne B, Yang J, Papin J, Peirce S, Saucerman J, Skalak T. Systems analysis of small signaling modules relevant to eight human diseases. Annals of biomedical engineering. 2010;39(2): 621-35. PMID: 21132372 | PMCID: PMC3033523
  • Soltis A, Saucerman J. Synergy between CaMKII substrates and β-adrenergic signaling in regulation of cardiac myocyte Ca(2+) handling. Biophysical journal. 2010;99(7): 2038-47. PMID: 20923637 | PMCID: PMC3042590