Author

Fangjin Chen

Peking 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· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Research Focus:cell-cell communication· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Lingao JuiD· 2 shared Wan Jin· 2 shared Yi ZhangiD· 2 shared Yu XiaoiD· 2 shared Biao ZhangiD· 1 shared Bin SuiD· 1 shared Bin ZouiD· 1 shared Bing SuiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMolecular Biology

Lingao JuORCID

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3 papers

Recent·Most cited

A universal molecular mechanism driving aging

Wan Jin, Jing Zheng, Yu Xiao, Lingao Ju, Fangjin Chen, Jie Fu, Hui Jiang, Yi Zhang

This paper identifies DNA G-quadruplex accumulation as a universal mechanism driving aging across species by impairing epigenetic maintenance and promoting chromatin changes.

bioRxiv · Jan 6, 2024 · PreprintMolecular Biology

Tracking single cell evolution via clock-like chromatin accessibility

Yu Xiao, Wan Jin, Lingao Ju, Jie Fu, Gang Wang, Mengxue Yu, Fangjin Chen, Kaiyu Qian, Xinghuan Wang, Yi Zhang

This paper introduces EpiTrace, a method using scATAC data to estimate cell age and lineage by analyzing clock-like chromatin accessibility, revealing insights into development and aging.

bioRxiv · May 12, 2022 · PreprintBioinformatics

Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients

Xianwen Ren, Wen Wen, Xiaoying Fan, Wenhong Hou, Bin Su, Pengfei Cai, Jiesheng Li, Yang Liu, Fei Tang, Fan Zhang, Yu Yang, Jiangping He, Wenji Ma, Jingjing He, Pingping Wang, , Zemin Zhang

This study uses single-cell RNA sequencing to analyze immune responses in COVID-19 patients, identifying key immune cell changes and molecular pathways linked to disease severity.

bioRxiv · Oct 29, 2020 · PreprintGenomics