Author

Jingmin Shu

Arizona State University

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

Biology Disciplines

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Bioinformatics· 3 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Organism:human· 3 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Hai CheniD· 3 shared Li LiuiD· 3 shared Carlo C. MaleyiD· 2 shared Changxin Shi· 2 shared Panwen WangiD· 2 shared Peter Leif BergsageliD· 2 shared Ping YangiD· 2 shared Rekha MudappathiiD· 2 shared

Activity by Year

2023-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBioinformatics

Hai ChenORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Medin-Induced Pro-inflammatory and Prothrombotic Activation of Coronary Artery Endothelial Cells: A Potential Novel Mediator Linking Aging and Atherosclerosis

Kaleb T. Morrow, Nina Karamanova, Randy Woltjer, Victoria Krajbich, Jingmin Shu, Ming Li, Chengyun Tang, Alana Maerivoet, Jillian Madine, Yabing Chen, Raymond Q. Migrino

This study shows medin induces pro-inflammatory and prothrombotic changes in endothelial cells and is strongly associated with coronary plaque burden and inflammation.

bioRxiv · Jul 8, 2026 · PreprintPhysiology

Germline regulation of tumor evolutionary dynamics shapes multiple myeloma progression

Hai Chen, Jingmin Shu, Rekha Mudappathi, Panwen Wang, Peter Leif Bergsagel, Ping Yang, Zhifu Sun, Changxin Shi, Li Liu

This study links germline variation to tumor evolutionary dynamics in multiple myeloma, identifying TBKBP1 as a mediator of subclonal expansion and clinical outcomes.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics

Competing Subclones and Fitness Diversity Shape Tumor Evolution Across Cancer Types

Hai Chen, Jingmin Shu, Rekha Mudappathi, Elaine Li, Panwen Wang, Peter Leif Bergsagel, Ping Yang, Z Sun, Logan Zhao, Changxin Shi, Jeffrey P Townsend, Carlo C. Maley, Li Liu

TEATIME estimates evolutionary parameters and fitness diversity from bulk sequencing data, revealing patterns of intratumor heterogeneity across 33 cancer types.

Bioinformatics · Feb 28, 2026Peer-reviewedBioinformatics

A mouse-specific model to detect genes under selection in tumors

Hai Chen, Jingmin Shu, Carlo C. Maley, Li Liu

The paper adapts a human cancer driver gene detection model to mice using transfer learning, identifying 24 driver genes in mouse breast cancer exomes.

Cancers · Oct 26, 2023Peer-reviewedBioinformatics