Research

Heart function and failure are controlled by complex molecular networks that are just beginning to be mapped. The Cardiac Systems Biology Group combines computational modeling and experiments to discover molecular networks that control cardiac remodeling and regeneration.

We develop experimental methods for high-throughput microscopy and biochemical profiling of primary and human induced pluripotent stem cell (iPSC)-derived cardiomyocytes. Our computational approaches include large-scale regulatory network modeling and bioinformatic analysis of -omic data. Specific research focus areas include cardiomyocyte hypertrophy and death, extra-cellular matrix remodeling by fibroblasts and macrophages, and cardiomyocyte proliferation.

Automated image analysis of cardiac cells and tissue.

Automated image analysis of cardiac cells and tissue.

Multi-scale modeling of inflammation-fibrosis coupling

Selected Publications

Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts - PubMed (nih.gov)

Nelson AR, Christiansen SL, Naegle KM, Saucerman JJ.Proc Natl Acad Sci U S A. 2024

Intercellular model predicts mechanisms of inflammation-fibrosis coupling after myocardial infarction.

Chowkwale M, Lindsey ML, Saucerman JJ.J Physiol. 2023 Jul;601(13):2635-2654.

Virtual drug screen reveals context-dependent inhibition of cardiomyocyte hypertrophy.

Eggertsen TG, Saucerman JJ.Br J Pharmacol. 2023 Nov;180(21):2721-2735.

Brahma safeguards canalization of cardiac mesoderm differentiation.

Hota SK, Rao KS, Blair AP, Khalilimeybodi A, Hu KM, Thomas R, So K, Kameswaran V, Xu J, Polacco BJ, Desai RV, Chatterjee N, Hsu A, Muncie JM, Blotnick AM, Winchester SAB, Weinberger LS, Hüttenhain R, Kathiriya IS, Krogan NJ, Saucerman JJ, Bruneau BG.Nature. 2022 Feb;602(7895):129-134.

Publications

CSBG publications on PUBMED

Downloads

Our open-source software and computational models on GITHUB

You can find our data on FIGSHARE

Netflux: User-friendly software for modeling biological networks https://github.com/saucermanlab/Netflux