From Cardiac Systems Biology Lab

Main: Publications

Reference databases

PubMed: []

NCBI MyBibliography:

ResearchGate: []

Peer-Reviewed Publications

  1. Predictive model identifies key network regulators of cardiomyocyte mechano-signaling. Tan PM, Buchholz KS, Omens JH, McCulloch AD, Saucerman JJ. PLoS Comput Biol. 2017 Nov 13;13(11):e1005854. doi: 10.1371/journal.pcbi.1005854. eCollection 2017 Nov.
  2. Mechanistic Systems Modeling to Improve Understanding and Prediction of Cardiotoxicity Caused by Targeted Cancer Therapeutics. Shim JV, Chun B, van Hasselt JGC, Birtwistle MR, Saucerman JJ, Sobie EA. Front Physiol. 2017 Sep 8;8:651. doi: 10.3389/fphys.2017.00651. eCollection 2017.
  3. Ampk phosphorylation of Ulk1 is required for targeting of mitochondria to lysosomes in exercise-induced mitophagy. Laker RC, Drake JC, Wilson RJ, Lira VA, Lewellen BM, Ryall KA, Fisher CC, Zhang M, Saucerman JJ, Goodyear LJ, Kundu M, Yan Z. Nat Commun. 2017 Sep 15;8(1):548. doi: 10.1038/s41467-017-00520-9.
  4. An engineering design approach to systems biology. Janes KA, Chandran PL, Ford RM, Lazzara MJ, Papin JA, Peirce SM, Saucerman JJ, Lauffenburger DA. Integr Biol (Camb). 2017 Jul 17;9(7):574-583. doi: 10.1039/c7ib00014f. Review.

  5. Woo L, Tkachenko S, Ding M, Plowright AT, Engkvist O, Andersson H, Drowley L, Barrett I, Firth M, Wolf MJ, Bekiranov S, Brautigan DL, Wang QD, *Saucerman JJ. High-content phenotypic screen for compounds that induce proliferation of human iPSC-derived cardiomyocytes. Circulation 2016;134:A18674. AHA Scientific Sessions Abstract.
  6. Knowledge gaps to understanding cardiac macrophage polarization following myocardial infarction. Lindsey ML, Saucerman JJ, DeLeon-Pennell KY. Biochim Biophys Acta. 2016 Dec;1862(12):2288-2292. doi: 10.1016/j.bbadis.2016.05.013. Epub 2016 May 27.
  7. A computational model of cardiac fibroblast signaling predicts context-dependent drivers of myofibroblast differentiation. Zeigler AC, Richardson WJ, Holmes JW, Saucerman JJ. J Mol Cell Cardiol. 2016 May;94:72-81. doi: 10.1016/j.yjmcc.2016.03.008. Epub 2016 Mar 23.
  8. Computational modeling of cardiac fibroblasts and fibrosis. Zeigler AC, Richardson WJ, Holmes JW, Saucerman JJ. J Mol Cell Cardiol. 2016 Apr;93:73-83. doi: 10.1016/j.yjmcc.2015.11.020.
  9. Ryall KA, *Saucerman JJ. Automated Microscopy of Cardiac Myocyte Hypertrophy: A Case Study on the Role of Intracellular α-Adrenergic Receptors. Methods Mol Biol. 2015; 1234:123-34.

  10. Greenwald EC, Polanowska-Grabowska RK, *Saucerman JJ. Integrating fluorescent biosensor data using computational models. Methods Mol Biol. 2014;1071:227-48.
  11. Amanfu RK, Saucerman JJ. Modeling the effects of beta1-adrenergic receptor blockers and polymorphisms on cardiac myocyte Ca2+ handling. Mol Pharmacol 2014 May 27. pii: mol.113.090951. [Epub ahead of print]
  12. Laker RC, Xu P, Ryall KA, Sujkowski A, Kenwood BM, Chain KH, Zhang M, Royal MA, Hoehn KL, Dirscoll M, Adler PN, Wessells RJ, Saucerman JJ, Yan Z. A novel MitoTimer reporter gene for mitochondrial content, structure, stress and damage in vivo. J Biol Chem. 2014 Mar 18. [Epub ahead of print]
  13. Ryall, K. A., V. J. Bezzerides, A. Rosenzwieg, Saucerman JJ. Phenotypic screen quantifying differential regulation of cardiac myocyte hypertrophy identifies CITED4 regulation of myocyte elongation. J Mol Cell Cardiol 2014 [Epub ahead of print], 10.1016/j.yjmcc.2014.02.013. PMCID: PMC Journal, In Process.
  14. 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. Mol Metab. 2013 Nov 28;3(2):114-23. PMCID: 3953706.
  15. Saucerman JJ, Greenwald EC, Polanowska-Grabowska R. Mechanisms of cyclic AMP compartmentation revealed by computational models. J Gen Physiol. 2014 Jan;143(1):39-48. PMCID: 3874575.
  16. Yang JH, Polanowska-Grabowska RK, Smith JS, Shields CW, Saucerman JJ. PKA catalytic subunit compartmentation regulates contractile and hypertrophic responses to β-adrenergic stimulation. J Mol Cell Cardiol, 2013 Nov 10;66C:83-93.[Epub ahead of print]. PMCID: 3927644.
  17. Greenwald EC, 1Redden JM, *Dodge-Kafka KL, *Saucerman JJ. Scaffold state-switching amplifies, accelerates and insulates PKC Signaling. J Biol Chem. 2013 Dec 3. [Epub ahead of print]. PMCID: 3900978.

  18. Ryall KA, Holland DO, Delaney KA, Kraeutler MJ, Parker AJ, Saucerman JJ. Network reconstruction and systems analysis of cardiac myocyte hypertrophy signaling. J Biol Chem. 2012 Oct 22. [Pubmed]
  19. 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. Mol Pharmacol, published ahead of print October 1, 2012, doi:10.1124/mol.112.081497.
  20. Ryall KA, *Saucerman JJ. Automated imaging reveals a concentration-dependent delay in reversibility of cardiac myocyte hypertrophy. J Mol Cell Cardiol, 2012 53(2):282-90. PMCID: 3389167. [Pubmed]
  21. Yang JH, Saucerman JJ. Phospholemman is a negative feed-forward regulator of Ca2+ in β-adrenergic signaling, accelerating β-adrenergic inotropy. J Mol Cell Cardiol. 2012; 52(5):1048-55. PMCID: 3327824. [Pubmed]
  22. 1Sample V, 1DiPilato LM, 1Yang JH, Ni Q, Saucerman JJ, Zhang J. Regulation of nuclear PKA revealed by spatiotemporal manipulation of cAMP. Nature Chemical Biology. 2012;8(4):375-82. PMCID: 3307945. [Pubmed]
  23. 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. J Mol Cell Cardiol. 2012; 52(5):923-30. PMCID: 3299901. [Link]
  24. Raynor LL, Saucerman JJ, Akinola MO, Lake DE, Moorman JR, Fairchild KD. Cytokine screening identifies NICU patients with Gram-negative bacteremia. Pediatric Research. 2012;71(3):261-6.

  25. Amanfu RK, Saucerman JJ. Cardiac models in drug discovery and development: a review. Crit Rev Biom Eng 2011. [Pubmed]
  26. Amanfu, RK, Muller, J, Saucerman JJ. Automated image analysis of cardiac myocyte Ca2+ dynamics. Conf Proc IEEE Eng Med Biol Soc 2011. [Pubmed]
  27. Haggart CR, Bartell JA, Saucerman JJ, Papin JA. Whole-genome metabolic network reconstruction and constraint-based modeling. Methods Enzymol. 2011;500:411-33. [Pubmed]
  28. Holland DO, Krainak NC, Saucerman JJ. Graphical approach to model reduction for nonlinear biochemical networks. PLoS One. 2011;6(8):e23795. Epub 2011 Aug 25. [Pubmed]
  29. Soltis AR, Saucerman JJ. Robustness portraits of diverse biological networks conserved despite order-of-magnitude parameter uncertainty. Bioinformatics. 2011 Oct 15;27(20):2888-94. Epub 2011 Aug 31. [Pubmed]
  30. Saucerman JJ, Bers DM. "Calmodulin binding proteins provide domains of local Ca(2+) signaling in cardiac myocytes." J Mol Cell Cardiol. 2011 Jun 12. [Epub ahead of print] [Pubmed]
  31. Greenwald EC, Saucerman JJ. Bigger, Better, Faster: Principles and Models of AKAP Anchoring Protein Signaling. J Cardiovasc Pharmacol. 2011 Nov;58(5):462-9. [Pubmed]
  32. Yang JH, Saucerman JJ. "Computational models reduce complexity and accelerate insight into cardiac signaling networks." Circ Res. 2011;108(1):85-97. [Pubmed]
  33. 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." Ann Biomed Eng. 2011;39(2):621-35. [Pubmed]

  34. Kraeutler MJ, Soltis AR, Saucerman JJ. "Modeling cardiac β-adrenergic signaling with normalized-Hill differential equations: comparison with a biochemical model." BMC Syst Biol. 2010;4:157. [Pubmed]
  35. Soltis AR, Saucerman JJ. "Synergy between CaMKII substrates and β-adrenergic signaling in regulation of cardiac myocyte Ca(2+) handling." Biophys J. 2010;99(7):2038-47. [Pubmed]. Selected as a “Must Read” 8/10 by [Faculty of 1000].

  36. Fairchild KD, Saucerman JJ, Raynor LL, Sivak JA, Xiao Y, Lake DE, Moorman JR. "Endotoxin depresses heart rate variability in mice: cytokine and steroid effects." Am J Physiol Regul Integr Comp Physiol. 2009 Oct;297(4):R1019-27. [Pubmed]. Featured by [UVA Today].
  37. Lu S, Michailova A, Saucerman J, Cheng Y, Yu Z, Kaiser T, Li W, Bank R, Holst M, McCammon J, Hayashi T, Hoshijima M, Arzberger P, McCulloch A. "Multiscale modeling in rodent ventricular myocytes." IEEE Eng Med Biol Mag. 2009 Mar-Apr;28(2):46-57. [Pubmed]
  38. Szafaryn LG, Skadron K, Saucerman JJ. Experiences accelerating MATLAB systems biology applications. Proceedings of the Workshop on Biomedicine in Computing: Systems, Architectures, and Circuits (BiC) in conjunction with the 36th IEEE/ACM International Symposium on Computer Architecture (ISCA); June 2009; Austin, TX. [PDF]
  39. Yang J. "Science Careers: Where does advocacy fit?" Science. 2009; 323(5911):208-209. [Pubmed]

  40. Song Q, Saucerman JJ, Bossuyt J, Bers DM. "Differential integration of Ca-calmodulin signal in intact ventricular myocytes at low and high affinity Ca-calmodulin targets." J Biol Chem. 2008 Nov 14;283(46):31531-40. [Pubmed]
  41. Saucerman JJ, Bers DM. "Calmodulin mediates differential sensitivity of CaMKII and calcineurin to local Ca2+ in cardiac myocytes." Biophys J. 2008 Nov 15;95(10):4597-612. [Pubmed]

  42. Saucerman JJ, McCulloch AD. "Cardiac beta-Adrenergic Signaling: From Subcellular Microdomains to Heart Failure." Ann N Y Acad Sci. 2006 Oct;1080:348-61. [Pubmed]
  43. Saucerman JJ, Zhang J, Martin JC, Peng LX, Stenbit AE, Tsien RY, McCulloch AD. "Systems analysis of PKA-mediated phosphorylation gradients in live cardiac myocytes." Proc Natl Acad Sci U S A. 2006 Aug 22;103(34):12923-8. [Pubmed]

  44. Michailova A, Saucerman J, Belik ME, McCulloch AD. "Modeling regulation of cardiac KATP and L-type Ca2+ currents by ATP, ADP, and Mg2+." Biophys J. 2005 Mar;88(3):2234-49. [Pubmed]
  45. Erdemir A, Saucerman JJ, Lemmon D, Loppnow B, Turso B, Ulbrecht JS, et al. Local plantar pressure relief in therapeutic footwear: design guidelines from finite element models. J Biomech. 2005;38(9):1798-806. [Pubmed]

  46. Saucerman JJ, Healy SN, Belik ME, Puglisi JL, McCulloch AD. "Proarrhythmic consequences of a KCNQ1 AKAP-binding domain mutation: computational models of whole cells and heterogeneous tissue." Circ Res. 2004 Dec 10;95(12):1216-24. [Pubmed]
  47. Saucerman JJ, McCulloch AD. "Mechanistic systems models of cell signaling networks: a case study of myocyte adrenergic regulation." Prog Biophys Mol Biol. 2004 Jun-Jul;85(2-3):261-78. [Pubmed]

  48. Saucerman JJ, Brunton LL, Michailova AP, McCulloch AD. "Modeling beta-adrenergic control of cardiac myocyte contractility in silico." J Biol Chem. 2003 Nov 28;278(48):47997-8003. [Pubmed]

Book Chapters, Editorials

  1. Greenwald EC, Polanowska-Grabowska RK, Saucerman JJ. Integrating fluorescent biosensor data using computational models. Methods Mol Biol. 2014;1071:227-48. doi: 10.1007/978-1-62703-622-1_18.
  2. Saucerman JJ. Modeling mitochondrial ROS: a great balancing act. Biophys J. 2013 Sep 17;105(6):1287-8. PMCID: PMC Journal, In Process.
  3. Saucerman JJ. Cardiac biexcitability: Two ways to catch a wave. Heart Rhythm. 2011 Sep 3. [Epub ahead of print] [Pubmed]
  4. Saucerman JJ, Zhang J. Subcellular signaling dynamics. In: Wall ME, editor. Quantitative Biology: From Molecular to Cellular Systems: CRC Press; 2011, in press.
Retrieved from
Page last modified on January 14, 2018, at 09:51 AM EST