Jeffrey J. Saucerman
Affiliations: | Biomedical Engineering | University of Virginia, Charlottesville, VA |
Area:
Cardiac signaing, Computational biologyGoogle:
""Jeffrey J. Saucerman""Parents
Sign in to add mentor| Andrew D. McCulloch | grad student | 2005 | UCSD | |
| (Systems analysis of beta-adrenergic signaling in cardiac myocytes.) | ||||
| Donald M. Bers | post-doc | Loyola University Chicago | ||
Children
Sign in to add trainee| Jason H. Yang | grad student | 2006-2012 | UVA |
| Eric C. Greenwald | grad student | 2010-2015 | UVA |
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Publications
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| Bracamonte JH, Watkins L, Pat B, et al. (2025) 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 |
| Harris BN, Woo LA, Perry RN, et al. (2025) Dynamic map illuminates Hippo-cMyc module crosstalk driving cardiomyocyte proliferation. Development (Cambridge, England) |
| Bracamonte JH, Watkins L, Betty P, et al. (2024) 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 |
| Khalilimeybodi A, Saucerman JJ, Rangamani P. (2024) Modeling cardiomyocyte signaling and metabolism predicts genotype-to-phenotype mechanisms in hypertrophic cardiomyopathy. Computers in Biology and Medicine. 175: 108499 |
| Nelson AR, Christiansen SL, Naegle KM, et al. (2024) 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 |
| Cao S, Buchholz KS, Tan P, et al. (2023) Differential Sensitivity to Longitudinal and Transverse Stretch Mediates Transcriptional Responses in Mouse Neonatal Ventricular Myocytes. American Journal of Physiology. Heart and Circulatory Physiology |
| Van de Graaf MW, Eggertsen TG, Zeigler AC, et al. (2023) Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models. The Journal of Physiology |
| Nelson AR, Bugg D, Davis J, et al. (2023) Network model integrated with multi-omic data predicts MBNL1 signals that drive myofibroblast activation. Iscience. 26: 106502 |
| Nelson AR, Christiansen SL, Naegle KM, et al. (2023) Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Biorxiv : the Preprint Server For Biology |
| Grandi E, Navedo MF, Saucerman JJ, et al. (2023) Diversity of Cells and Signals in the Cardiovascular System. The Journal of Physiology |