Author

Yan Tan

Central South 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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Bioengineering· 1 Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Beisha TangiD· 1 shared Boxun LuiD· 1 shared Chunrong Wang· 1 shared Felix Wu· 1 shared Gyuhyung JiniD· 1 shared Hong Jiang· 1 shared Hongyu Yuan· 1 shared Huirong Peng· 1 shared

Activity by Year

2016-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperNeuroscience

Beisha TangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Targeting Cardiac Fibrosis with Chimeric Antigen Receptor Neutrophils Derived from Human Pluripotent Stem Cells

Gyuhyung Jin, Shaohai Fang, Yun Chang, Kunming Shao, Huiyang Li, Yan Tan, Xiaojun Lian, Qing Deng, Yun Huang, Xiaoping Bao

This study develops hPSC-derived FAP CAR neutrophils to target cardiac fibrosis, showing in vitro cytotoxicity and improved left ventricular ejection fraction in a mouse MI model.

bioRxiv · Oct 13, 2026 · PreprintBioengineering

Autophagosome-tethering compounds selectively lower mutant ataxin-3 in preclinical models of spinocerebellar ataxia type 3

Hongyu Yuan, Zhao Chen, Xiaokai Shen, Yiqing Gong, Yan Tan, Jiawei He, Na Wan, Chunrong Wang, Linlin Wan, Linliu Peng, Lang He, Huirong Peng, Rong Qiu, Beisha Tang, Boxun Lu, Hong Jiang

Small-molecule autophagosome-tethering compounds selectively lower mutant ataxin-3 through an LC3- and autophagy-dependent mechanism and improve disease-related phenotypes in preclinical models of SCA3.

bioRxiv · Oct 8, 2026 · PreprintNeuroscience

A method for downstream analysis of gene set enrichment results facilitates the biological interpretation of vaccine efficacy studies

Yan Tan, Jernej Godec, Felix Wu, Pablo Tamayo, Jill P. Mesirov, W. Nicholas Haining

This paper introduces a method to refine gene set enrichment analysis results by identifying key gene groups, improving biological interpretation of vaccine efficacy studies.

bioRxiv · Apr 11, 2016 · PreprintBioinformatics