| Year |
Citation |
Score |
| 2025 |
Bracamonte JH, Watkins L, Pat B, Dell'Italia LJ, Saucerman JJ, Holmes JW. Contributions of mechanical loading and hormonal changes to eccentric hypertrophy during volume overload: A Bayesian analysis using logic-based network models. Plos Computational Biology. 21: e1012390. PMID 40238825 DOI: 10.1371/journal.pcbi.1012390 |
0.34 |
|
| 2025 |
Harris BN, Woo LA, Perry RN, Wallace AM, Civelek M, Wolf MJ, Saucerman JJ. Dynamic map illuminates Hippo-cMyc module crosstalk driving cardiomyocyte proliferation. Development (Cambridge, England). PMID 39866065 DOI: 10.1242/dev.204397 |
0.359 |
|
| 2024 |
Bracamonte JH, Watkins L, Betty P, Dell'Italia LJ, Saucerman JJ, Holmes JW. Contributions of mechanical loading and hormonal changes to eccentric hypertrophy during volume overload: a Bayesian analysis using logic-based network models. Biorxiv : the Preprint Server For Biology. PMID 39345523 DOI: 10.1101/2024.09.12.612768 |
0.538 |
|
| 2024 |
Khalilimeybodi A, Saucerman JJ, Rangamani P. Modeling cardiomyocyte signaling and metabolism predicts genotype-to-phenotype mechanisms in hypertrophic cardiomyopathy. Computers in Biology and Medicine. 175: 108499. PMID 38677172 DOI: 10.1016/j.compbiomed.2024.108499 |
0.328 |
|
| 2024 |
Nelson AR, Christiansen SL, Naegle KM, Saucerman JJ. Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Proceedings of the National Academy of Sciences of the United States of America. 121: e2303513121. PMID 38266046 DOI: 10.1073/pnas.2303513121 |
0.334 |
|
| 2023 |
Cao S, Buchholz KS, Tan P, Stowe JC, Wang A, Fowler A, Knaus K, Khalilimeybodi A, Zambon AC, Omens JH, Saucerman J, McCulloch AD. Differential Sensitivity to Longitudinal and Transverse Stretch Mediates Transcriptional Responses in Mouse Neonatal Ventricular Myocytes. American Journal of Physiology. Heart and Circulatory Physiology. PMID 38063811 DOI: 10.1152/ajpheart.00562.2023 |
0.535 |
|
| 2023 |
Van de Graaf MW, Eggertsen TG, Zeigler AC, Tan PM, Saucerman JJ. Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models. The Journal of Physiology. PMID 37199469 DOI: 10.1113/JP284616 |
0.37 |
|
| 2023 |
Nelson AR, Bugg D, Davis J, Saucerman JJ. Network model integrated with multi-omic data predicts MBNL1 signals that drive myofibroblast activation. Iscience. 26: 106502. PMID 37091233 DOI: 10.1016/j.isci.2023.106502 |
0.415 |
|
| 2023 |
Nelson AR, Christiansen SL, Naegle KM, Saucerman JJ. Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Biorxiv : the Preprint Server For Biology. PMID 36909540 DOI: 10.1101/2023.03.01.530599 |
0.321 |
|
| 2023 |
Grandi E, Navedo MF, Saucerman JJ, Bers DM, Chiamvimonvat N, Dixon RE, Dobrev D, Gomez AM, Harraz OF, Hegyi B, Jones DK, Krogh-Madsen T, Murfee WL, Nystoriak MA, Posnack NG, et al. Diversity of Cells and Signals in the Cardiovascular System. The Journal of Physiology. PMID 36744541 DOI: 10.1113/JP284011 |
0.434 |
|
| 2022 |
Khalilimeybodi A, Riaz M, Campbell SG, Omens JH, McCulloch AD, Qyang Y, Saucerman JJ. Signaling network model of cardiomyocyte morphological changes in familial cardiomyopathy. Journal of Molecular and Cellular Cardiology. 174: 1-14. PMID 36370475 DOI: 10.1016/j.yjmcc.2022.10.006 |
0.6 |
|
| 2022 |
Chowkwale M, Lindsey ML, Saucerman JJ. Intercellular model predicts mechanisms of inflammation-fibrosis coupling after myocardial infarction. The Journal of Physiology. PMID 35862254 DOI: 10.1113/JP283346 |
0.316 |
|
| 2022 |
Yoshida K, Saucerman JJ, Holmes JW. Multiscale model of heart growth during pregnancy: integrating mechanical and hormonal signaling. Biomechanics and Modeling in Mechanobiology. PMID 35668305 DOI: 10.1007/s10237-022-01589-y |
0.479 |
|
| 2021 |
Gorick CM, Saucerman JJ, Price RJ. Computational model of brain endothelial cell signaling pathways predicts therapeutic targets for cerebral pathologies. Journal of Molecular and Cellular Cardiology. 164: 17-28. PMID 34798125 DOI: 10.1016/j.yjmcc.2021.11.005 |
0.314 |
|
| 2021 |
Rogers JD, Holmes JW, Saucerman JJ, Richardson WJ. Mechano-chemo signaling interactions modulate matrix production by cardiac fibroblasts. Matrix Biology Plus. 10: 100055. PMID 34195592 DOI: 10.1016/j.mbplus.2020.100055 |
0.638 |
|
| 2021 |
McCulloch AD, Grandi E, Saucerman JJ. Computational models of cardiovascular regulatory mechanisms. Journal of Molecular and Cellular Cardiology. 155: 111. PMID 33647311 DOI: 10.1016/j.yjmcc.2021.01.009 |
0.506 |
|
| 2021 |
Zeigler AC, Chandrabhatla AS, Christiansen SL, Nelson AR, Holmes JW, Saucerman JJ. Network model-based screen for FDA-approved drugs affecting cardiac fibrosis. Cpt: Pharmacometrics & Systems Pharmacology. PMID 33571402 DOI: 10.1002/psp4.12599 |
0.525 |
|
| 2020 |
Khalilimeybodi A, Paap AM, Christiansen SLM, Saucerman JJ. Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy. Plos Computational Biology. 16: e1008490. PMID 33338038 DOI: 10.1371/journal.pcbi.1008490 |
0.428 |
|
| 2020 |
Estrada AC, Yoshida K, Saucerman JJ, Holmes JW. A multiscale model of cardiac concentric hypertrophy incorporating both mechanical and hormonal drivers of growth. Biomechanics and Modeling in Mechanobiology. PMID 32970240 DOI: 10.1007/s10237-020-01385-6 |
0.562 |
|
| 2020 |
Cao S, Aboelkassem Y, Wang A, Valdez-Jasso D, Saucerman JJ, Omens JH, McCulloch AD. Quantification of model and data uncertainty in a network analysis of cardiac myocyte mechanosignalling. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 378: 20190336. PMID 32448062 DOI: 10.1098/Rsta.2019.0336 |
0.55 |
|
| 2020 |
Zeigler AC, Nelson AR, Chandrabhatla AS, Brazhkina O, Holmes JW, Saucerman JJ. Computational Model Predicts Paracrine and Intracellular Drivers of Fibroblast Phenotype After Myocardial Infarction. Matrix Biology : Journal of the International Society For Matrix Biology. PMID 32209358 DOI: 10.1016/J.Matbio.2020.03.007 |
0.554 |
|
| 2020 |
Cao S, Buchholz K, Tan PM, Aboelkassem Y, Stowe JC, Saucerman JJ, Omens J, McCulloch AD. Analysis of Differential Gene Expression in Response to Anisotropic Stretch using a Systems Model of Cardiac Myocyte Mechanotransduction Biophysical Journal. 118: 459a-460a. DOI: 10.1016/J.Bpj.2019.11.2558 |
0.478 |
|
| 2019 |
Rikard SM, Athey TL, Nelson AR, Christiansen SLM, Lee JJ, Holmes JW, Peirce SM, Saucerman JJ. Multiscale Coupling of an Agent-Based Model of Tissue Fibrosis and a Logic-Based Model of Intracellular Signaling. Frontiers in Physiology. 10: 1481. PMID 31920691 DOI: 10.3389/Fphys.2019.01481 |
0.576 |
|
| 2019 |
Saucerman JJ, Tan PM, Buchholz KS, McCulloch AD, Omens JH. Mechanical regulation of gene expression in cardiac myocytes and fibroblasts. Nature Reviews. Cardiology. PMID 30683889 DOI: 10.1038/S41569-019-0155-8 |
0.517 |
|
| 2018 |
Frank DU, Sutcliffe MD, Saucerman JJ. Network-based predictions of in vivo cardiac hypertrophy. Journal of Molecular and Cellular Cardiology. PMID 30030017 DOI: 10.1016/J.Yjmcc.2018.07.243 |
0.398 |
|
| 2017 |
Tan PM, Buchholz KS, Omens JH, McCulloch AD, Saucerman JJ. Predictive model identifies key network regulators of cardiomyocyte mechano-signaling. Plos Computational Biology. 13: e1005854. PMID 29131824 DOI: 10.1371/Journal.Pcbi.1005854 |
0.588 |
|
| 2017 |
Shim JV, Chun B, van Hasselt JGC, Birtwistle MR, Saucerman JJ, Sobie EA. Mechanistic Systems Modeling to Improve Understanding and Prediction of Cardiotoxicity Caused by Targeted Cancer Therapeutics. Frontiers in Physiology. 8: 651. PMID 28951721 DOI: 10.3389/Fphys.2017.00651 |
0.349 |
|
| 2016 |
Zeigler AC, Richardson WJ, Holmes JW, Saucerman JJ. A computational model of cardiac fibroblast signaling predicts context-dependent drivers of myofibroblast differentiation. Journal of Molecular and Cellular Cardiology. PMID 27017945 DOI: 10.1016/J.Yjmcc.2016.03.008 |
0.61 |
|
| 2015 |
Zeigler AC, Richardson WJ, Holmes JW, Saucerman JJ. Computational modeling of cardiac fibroblasts and fibrosis. Journal of Molecular and Cellular Cardiology. PMID 26608708 DOI: 10.1016/J.Yjmcc.2015.11.020 |
0.611 |
|
| 2014 |
Amanfu RK, Saucerman JJ. Modeling the effects of β1-adrenergic receptor blockers and polymorphisms on cardiac myocyte Ca2+ handling. Molecular Pharmacology. 86: 222-30. PMID 24867460 DOI: 10.1124/Mol.113.090951 |
0.336 |
|
| 2014 |
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, et al. Identification of a novel mitochondrial uncoupler that does not depolarize the plasma membrane. Molecular Metabolism. 3: 114-23. PMID 24634817 DOI: 10.1016/J.Molmet.2013.11.005 |
0.38 |
|
| 2014 |
Ryall KA, Bezzerides VJ, Rosenzweig A, Saucerman JJ. Phenotypic screen quantifying differential regulation of cardiac myocyte hypertrophy identifies CITED4 regulation of myocyte elongation. Journal of Molecular and Cellular Cardiology. 72: 74-84. PMID 24613264 DOI: 10.1016/J.Yjmcc.2014.02.013 |
0.347 |
|
| 2014 |
Saucerman JJ, Greenwald EC, Polanowska-Grabowska R. Mechanisms of cyclic AMP compartmentation revealed by computational models. The Journal of General Physiology. 143: 39-48. PMID 24378906 DOI: 10.1085/Jgp.201311044 |
0.706 |
|
| 2014 |
Greenwald EC, Redden JM, Dodge-Kafka KL, Saucerman JJ. Scaffold state switching amplifies, accelerates, and insulates protein kinase C signaling. The Journal of Biological Chemistry. 289: 2353-60. PMID 24302730 DOI: 10.1074/Jbc.M113.497941 |
0.72 |
|
| 2014 |
Yang JH, Polanowska-Grabowska RK, Smith JS, Shields CW, Saucerman JJ. PKA catalytic subunit compartmentation regulates contractile and hypertrophic responses to β-adrenergic signaling. Journal of Molecular and Cellular Cardiology. 66: 83-93. PMID 24225179 DOI: 10.1016/J.Yjmcc.2013.11.001 |
0.645 |
|
| 2014 |
Greenwald EC, Polanowska-Grabowska RK, Saucerman JJ. Integrating fluorescent biosensor data using computational models. Methods in Molecular Biology (Clifton, N.J.). 1071: 227-48. PMID 24052393 DOI: 10.1007/978-1-62703-622-1_18 |
0.73 |
|
| 2013 |
Sample V, DiPilato LM, Yang JH, Ni Q, Saucerman JJ, Zhang J. Erratum: Corrigendum: Regulation of nuclear PKA revealed by spatiotemporal manipulation of cyclic AMP Nature Chemical Biology. 9: 406-406. DOI: 10.1038/Nchembio0613-406B |
0.574 |
|
| 2012 |
Ryall KA, Holland DO, Delaney KA, Kraeutler MJ, Parker AJ, Saucerman JJ. Network reconstruction and systems analysis of cardiac myocyte hypertrophy signaling. The Journal of Biological Chemistry. 287: 42259-68. PMID 23091058 DOI: 10.1074/Jbc.M112.382937 |
0.399 |
|
| 2012 |
Ryall KA, Saucerman JJ. Automated imaging reveals a concentration dependent delay in reversibility of cardiac myocyte hypertrophy. Journal of Molecular and Cellular Cardiology. 53: 282-90. PMID 22575844 DOI: 10.1016/J.Yjmcc.2012.04.016 |
0.312 |
|
| 2012 |
Sample V, DiPilato LM, Yang JH, Ni Q, Saucerman JJ, Zhang J. Regulation of nuclear PKA revealed by spatiotemporal manipulation of cyclic AMP. Nature Chemical Biology. 8: 375-82. PMID 22366721 DOI: 10.1038/Nchembio.799 |
0.644 |
|
| 2012 |
Yang JH, Saucerman JJ. Phospholemman is a negative feed-forward regulator of Ca2+ in β-adrenergic signaling, accelerating β-adrenergic inotropy. Journal of Molecular and Cellular Cardiology. 52: 1048-55. PMID 22289214 DOI: 10.1016/J.Yjmcc.2011.12.015 |
0.623 |
|
| 2012 |
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. Journal of Molecular and Cellular Cardiology. 52: 923-30. PMID 22142594 DOI: 10.1016/J.Yjmcc.2011.11.009 |
0.35 |
|
| 2012 |
Saucerman JJ, Bers DM. Calmodulin binding proteins provide domains of local Ca2+ signaling in cardiac myocytes. Journal of Molecular and Cellular Cardiology. 52: 312-6. PMID 21708171 DOI: 10.1016/J.Yjmcc.2011.06.005 |
0.491 |
|
| 2011 |
Holland DO, Krainak NC, Saucerman JJ. Graphical approach to model reduction for nonlinear biochemical networks. Plos One. 6: e23795. PMID 21901136 DOI: 10.1371/Journal.Pone.0023795 |
0.335 |
|
| 2011 |
Greenwald EC, Saucerman JJ. Bigger, better, faster: principles and models of AKAP anchoring protein signaling. Journal of Cardiovascular Pharmacology. 58: 462-9. PMID 21562426 DOI: 10.1097/Fjc.0B013E31822001E3 |
0.749 |
|
| 2011 |
Yang JH, Saucerman JJ. Computational models reduce complexity and accelerate insight into cardiac signaling networks. Circulation Research. 108: 85-97. PMID 21212391 DOI: 10.1161/Circresaha.110.223602 |
0.657 |
|
| 2011 |
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. Annals of Biomedical Engineering. 39: 621-35. PMID 21132372 DOI: 10.1007/S10439-010-0208-Y |
0.546 |
|
| 2010 |
Kraeutler MJ, Soltis AR, Saucerman JJ. Modeling cardiac β-adrenergic signaling with normalized-Hill differential equations: comparison with a biochemical model. Bmc Systems Biology. 4: 157. PMID 21087478 DOI: 10.1186/1752-0509-4-157 |
0.399 |
|
| 2010 |
Soltis AR, Saucerman JJ. Synergy between CaMKII substrates and β-adrenergic signaling in regulation of cardiac myocyte Ca(2+) handling. Biophysical Journal. 99: 2038-47. PMID 20923637 DOI: 10.1016/J.Bpj.2010.08.016 |
0.383 |
|
| 2009 |
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 Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society. 28: 46-57. PMID 19349251 DOI: 10.1109/Memb.2009.931787 |
0.48 |
|
| 2009 |
Chu L, Park SR, Tandon M, Guilford W, Saucerman JJ. Modeling Nitric Oxide Regulation Of Ec Coupling In Cardiac Myocytes Biophysical Journal. 96: 518a. DOI: 10.1016/J.Bpj.2008.12.2668 |
0.388 |
|
| 2008 |
Song Q, Saucerman JJ, Bossuyt J, Bers DM. Differential integration of Ca2+-calmodulin signal in intact ventricular myocytes at low and high affinity Ca2+-calmodulin targets. The Journal of Biological Chemistry. 283: 31531-40. PMID 18790737 DOI: 10.1074/Jbc.M804902200 |
0.436 |
|
| 2008 |
Saucerman JJ, Bers DM. Calmodulin mediates differential sensitivity of CaMKII and calcineurin to local Ca2+ in cardiac myocytes. Biophysical Journal. 95: 4597-612. PMID 18689454 DOI: 10.1529/Biophysj.108.128728 |
0.491 |
|
| 2008 |
Yang J, Saucerman J. PKA Activity Compartmentation Requires Slow Nuclear Transport Kinetics in Cardiac Myocytes The Faseb Journal. 22: 312-312. DOI: 10.1096/Fasebj.22.2_Supplement.312 |
0.535 |
|
| 2006 |
Saucerman JJ, McCulloch AD. Cardiac beta-adrenergic signaling: from subcellular microdomains to heart failure. Annals of the New York Academy of Sciences. 1080: 348-61. PMID 17132794 DOI: 10.1196/Annals.1380.026 |
0.517 |
|
| 2006 |
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. Proceedings of the National Academy of Sciences of the United States of America. 103: 12923-8. PMID 16905651 DOI: 10.1073/Pnas.0600137103 |
0.608 |
|
| 2005 |
Michailova A, Saucerman J, Belik ME, McCulloch AD. Modeling regulation of cardiac KATP and L-type Ca2+ currents by ATP, ADP, and Mg2+. Biophysical Journal. 88: 2234-49. PMID 15738467 DOI: 10.1529/Biophysj.104.046284 |
0.468 |
|
| 2005 |
Saucerman JJ, Zhang J, Stenbit AE, Tsien RY, McCulloch AD. Imaging Protein Kinase A Signaling Dynamics in Live Cardiac Myocytes Microscopy and Microanalysis. 11. DOI: 10.1017/S1431927605502472 |
0.526 |
|
| 2004 |
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. Circulation Research. 95: 1216-24. PMID 15528464 DOI: 10.1161/01.Res.0000150055.06226.4E |
0.532 |
|
| 2004 |
Saucerman JJ, McCulloch AD. Mechanistic systems models of cell signaling networks: a case study of myocyte adrenergic regulation. Progress in Biophysics and Molecular Biology. 85: 261-78. PMID 15142747 DOI: 10.1016/J.Pbiomolbio.2004.01.005 |
0.562 |
|
| 2003 |
Saucerman JJ, Brunton LL, Michailova AP, McCulloch AD. Modeling beta-adrenergic control of cardiac myocyte contractility in silico. The Journal of Biological Chemistry. 278: 47997-8003. PMID 12972422 DOI: 10.1074/Jbc.M308362200 |
0.58 |
|
| 2002 |
Saucerman JJ, Michailova AP, McCulloch AD. Modeling biochemical networks and excitation-contraction coupling Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 3: 2235-2236. |
0.457 |
|
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