Jeffrey J. Saucerman

GetPhoto.ashx?photo=jjs3g_589

Primary Appointment

Associate Professor, Biomedical Engineering

Education

  • PhD, Bioengineering, University of California at San Diego

Research Disciplines

Biophysics, Biotechnology, Cardiovascular Biology, Physiology

Research Interests

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

Personal Statement

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

Training

  • Basic Cardiovascular Research Training Grant
  • Biotechnology Training Grant
  • Training in Cell and Molecular Biology
  • Training in Molecular Biophysics
  • Training in the Pharmacological Sciences

Selected Publications

Kenwood BM, Weaver JL, Bajwa A, Poon IK, Byrne FL, Murrow BA, Calderone JA, Huang L, Divakaruni AS, Tomsig JL, Okabe K, Lo RH, Cameron Coleman G, Columbus L, Yan Z, Saucerman JJ, Smith JS, Holmes JW, Lynch KR, Ravichandran KS, Uchiyama S, Santos WL, Rogers GW, Okusa MD, Bayliss DA, Hoehn KL, Identification of a novel mitochondrial uncoupler that does not depolarize the plasma membrane., 2014; Molecular metabolism. 3(2) 114-23. PMID: 24634817 | PMCID: PMC3953706

Saucerman JJ, Greenwald EC, Polanowska-Grabowska R, Mechanisms of cyclic AMP compartmentation revealed by computational models., 2014; The Journal of general physiology. 143(1) 39-48. PMID: 24378906 | PMCID: PMC3874575

Saucerman JJ, Modeling mitochondrial ROS: a great balancing act., 2013; Biophysical journal. 105(6) 1287-8. PMID: 24047977 | PMCID: PMC3829394

Cui WY, Zhao S, Polanowska-Grabowska R, Wang J, Wei J, Dash B, Chang SL, Saucerman JJ, Gu J, Li MD, Identification and Characterization of Poly(I:C)-induced Molecular Responses Attenuated by Nicotine in Mouse Macrophages., 2012; Molecular pharmacology. () . PMID: 23028093 | PMCID: PMC3533466

Ryall KA, Holland DO, Delaney KA, Kraeutler MJ, Parker AJ, Saucerman JJ, Network reconstruction and systems analysis of cardiac myocyte hypertrophy signaling., 2012; The Journal of biological chemistry. 287(50) 42259-68. PMID: 23091058 | PMCID: PMC3516769

Ryall KA, Saucerman JJ, Automated imaging reveals a concentration dependent delay in reversibility of cardiac myocyte hypertrophy., 2012; Journal of molecular and cellular cardiology. 53(2) 282-90. PMID: 22575844 | PMCID: PMC3389167

Raynor LL, Saucerman JJ, Akinola MO, Lake DE, Moorman JR, Fairchild KD, Cytokine screening identifies NICU patients with Gram-negative bacteremia., 2012; Pediatric research. 71(3) 261-6. PMID: 22278182 | PMCID: PMC3552187

Yang JH, Saucerman JJ, Computational models reduce complexity and accelerate insight into cardiac signaling networks., 2011; Circulation research. 108(1) 85-97. PMID: 21212391 | PMCID: PMC3076046

Bass GT, Ryall KA, Katikapalli A, Taylor BE, Dang ST, Acton ST, Saucerman JJ, Automated image analysis identifies signaling pathways regulating distinct signatures of cardiac myocyte hypertrophy., 2011; Journal of molecular and cellular cardiology. 52(5) 923-30. PMID: 22142594 | PMCID: PMC3299901

Holland DO, Krainak NC, Saucerman JJ, Graphical approach to model reduction for nonlinear biochemical networks., 2011; PloS one. 6(8) e23795. PMID: 21901136 | PMCID: PMC3162006

Saucerman JJ, Bers DM, Calmodulin binding proteins provide domains of local Ca2+ signaling in cardiac myocytes., 2011; Journal of molecular and cellular cardiology. 52(2) 312-6. PMID: 21708171 | PMCID: PMC3235247

Greenwald EC, Saucerman JJ, Bigger, better, faster: principles and models of AKAP anchoring protein signaling., 2011; Journal of cardiovascular pharmacology. 58(5) 462-9. PMID: 21562426 | PMCID: PMC3173587

Benedict KF, Mac Gabhann F, Amanfu RK, Chavali AK, Gianchandani EP, Glaw LS, Oberhardt MA, Thorne BC, Yang JH, Papin JA, Peirce SM, Saucerman JJ, Skalak TC, Systems analysis of small signaling modules relevant to eight human diseases., 2010; Annals of biomedical engineering. 39(2) 621-35. PMID: 21132372 | PMCID: PMC3033523

Soltis AR, Saucerman JJ, Synergy between CaMKII substrates and β-adrenergic signaling in regulation of cardiac myocyte Ca(2+) handling., 2010; Biophysical journal. 99(7) 2038-47. PMID: 20923637 | PMCID: PMC3042590