Author

J. J. Saucerman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 4 Cell Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Organism:human· 2 Organism:rat· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1

Frequent Co-Authors

J. W. Holmes· 2 shared A. Nelson· 1 shared A. P. Clark· 1 shared A. Paap· 1 shared A. Wallqvist· 1 shared B. Chun· 1 shared B. Dougherty· 1 shared G. L. Kolling· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

J. W. Holmes

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Logic-based modeling of biological networks with Netflux

A. P. Clark, M. Chowkwale, A. Paap, S. Dang, J. J. Saucerman

The paper introduces Netflux, a user-friendly tool for simulating biological networks without programming, and provides a tutorial on its use for modeling and perturbation analysis.

PLOS Computational Biology · Apr 4, 2025Peer-reviewedBioengineering

Virtual drug screen reveals context-dependent inhibition of cardiomyocyte hypertrophy

T. G. Eggertsen, J. J. Saucerman

This paper uses a computational model to screen FDA-approved drugs for their ability to inhibit cardiomyocyte hypertrophy, identifying midostaurin as a context-dependent inhibitor.

bioRxiv · Aug 22, 2022Pharmacology & Toxicology

Identifying metabolic adaptations during cardiotoxicity using paired transcriptomics andmetabolomics data integrated with a model of heart metabolism

B. Dougherty, K. D. Rawls, M. L. Jenior, B. Chun, S. Nagdas, J. J. Saucerman, G. L. Kolling, A. Wallqvist, J. A. Papin

The paper integrates transcriptomics and metabolomics data with a heart metabolic model to identify metabolic adaptations during cardiotoxicity from three compounds.

bioRxiv · Oct 31, 2021 · PreprintBioengineering

The Cell Surface Receptors Ror1/2 Control Cardiac Myofibroblast Differentiation

N. W. Chavkin, S. Sano, Y. Wang, K. Oshima, K. Horitani, M. Sano, S. MacLauchlan, A. Nelson, K. Setia, T. Vippa, Y. Watanabe, J. J. Saucerman, K. K. Hirschi, N. Gokce, K. Walsh

This study shows that Ror1/2 receptors are essential for cardiac myofibroblast differentiation and heart remodeling in response to pressure overload.

bioRxiv · Mar 2, 2021Cell Biology

Multiscale model of heart growth during pregnancy: Integrating mechanical and hormonal signaling

K. Yoshida, J. J. Saucerman, J. W. Holmes

This study develops a multiscale model of maternal heart growth during pregnancy, showing that progesterone levels in early gestation significantly contribute to cardiac growth.

bioRxiv · Sep 18, 2020Bioengineering

Mechano-Chemo Signaling Interactions Modulate Matrix Production by Cardiac Fibroblasts

J. D. Rogers, J. W. Holmes, J. J. Saucerman, W. J. Richardson

The paper investigates how mechanical stretch and biochemical agonists interact to regulate matrix metalloproteinase secretion by cardiac fibroblasts, revealing synergistic and antagonistic effects on protease expression.

bioRxiv · May 6, 2020Bioengineering