Author

Angela C. Zeigler

University of VirginiaORCID 0000-0002-7142-9459Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Research Focus:cell-cell communication· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Jeffrey J. SaucermaniD· 3 shared Anders R. NelsoniD· 2 shared Anirudha S. ChandrabhatlaiD· 1 shared Jeffrey W. HolmesiD· 1 shared Jingyuan ZhangiD· 1 shared Matthew W. Van de Graaf· 1 shared Merry L. LindseyiD· 1 shared Olga BrazhkinaiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

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10 top collaborators · 21 mutual co-author links

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3 shared papersSystems Biology

Jeffrey J. SaucermanORCID

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3 papers

Recent·Most cited

Benchmarking of protein interaction databases for integration with manually reconstructed signaling network models

Matthew W. Van de Graaf, Taylor G. Eggertsen, Angela C. Zeigler, Philip M. Tan, Jeffrey J. Saucerman

The paper benchmarks protein interaction databases for their ability to recover manually curated edges from signaling network models of cardiac hypertrophy, mechano-signaling, and fibrosis.

bioRxiv · Oct 25, 2022 · PreprintSystems Biology

Network analysis reveals a distinct axis of macrophage activation in response to conflicting inflammatory cues

Xiaji Liu, Jingyuan Zhang, Angela C. Zeigler, Anders R. Nelson, Merry L. Lindsey, Jeffrey J. Saucerman

The paper develops a computational model of macrophage signaling to predict activation responses to cytokine combinations, revealing a second axis of activation distinct from the M1-M2 polarization.

The Journal of Immunology · Jan 6, 2021Peer-reviewedSystems Biology

Computational Model Predicts Paracrine and Intracellular Drivers of Fibroblast Phenotype After Myocardial Infarction

Angela C. Zeigler, Anders R. Nelson, Anirudha S. Chandrabhatla, Olga Brazhkina, Jeffrey W. Holmes, Jeffrey J. Saucerman

The paper develops a computational model to simulate fibroblast signaling and fibrosis after myocardial infarction, revealing how paracrine stimuli and signaling pathways drive fibroblast phenotype dynamics.

Matrix Biology · Mar 21, 2020Peer-reviewedSystems Biology