Author

Chuhanwen Sun

Rutgers, The State University of New Jersey

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 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2

Frequent Co-Authors

Jiekun YangiD· 3 shared Alina Irvine· 1 shared Ashley Renfro· 1 shared Cherie A Stringer· 1 shared David H. BranniD· 1 shared Elizabeth HeadiD· 1 shared Fengwei Zhan· 1 shared Hetanshi Patel· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersBioinformatics

Jiekun YangORCID

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Author profile →

4 papers

Recent·Most cited

TEX15 safeguards neuronal diversity in the mouse olfactory system

Nusrath Yusuf, David H. Brann, Chuhanwen Sun, Joshua S. Danoff, Alina Irvine, Hetanshi Patel, Nader Boutros Ghali, Jerome Kahiapo, Jiekun Yang, Sandeep Robert Datta, Jeremy Robert Wang, Kevin D. Monahan

This study identifies Tex15 as a gene required for maintaining diversity in odorant receptor expression in mouse olfactory neurons.

bioRxiv · Sep 16, 2026 · PreprintGenomics

Epigenetically constrained astrocyte states underlie prefrontal cortex vulnerability in Down syndrome associated Alzheimer disease

Chuhanwen Sun, Raina W. Thomas, Cherie A Stringer, Kyriaki Galani, Li‐Lun Ho, Na Sun, Ashley Renfro, Sierra T. Wright, Rosalind Mott Firenze, Li‐Huei Tsai, Elizabeth Head, M Kellis, Jiekun Yang

The paper identifies a vulnerable astrocyte state in the prefrontal cortex of Down syndrome-associated Alzheimer's disease through integrated single-nucleus RNA-seq and ATAC-seq analysis.

bioRxiv · Apr 21, 2026 · PreprintBioinformatics

STCS: A Platform-Agnostic Framework for Cell-Level Reconstruction in Sequencing-Based Spatial Transcriptomics

L Wu, Xinyu Hu, Fengwei Zhan, Chuhanwen Sun, Jose Gonzales, Rachel Ofer, Tyler Tran, Michael Paul Verzi, Liping Liu, Jiekun Yang

STCS reconstructs cell-level gene expression from spatial transcriptomics data, improving accuracy across platforms and tissues.

bioRxiv · Mar 3, 2026 · PreprintBioinformatics

STHD: probabilistic cell typing of single Spots in whole Transcriptome spatial data with High Definition

Chuhanwen Sun, Yi Zhang

STHD provides probabilistic cell typing for high-resolution spatial transcriptomics data by directly modeling single-spot gene expression without aggregation, improving segmentation and downstream analysis.

Genome biology · Jul 18, 2025Peer-reviewedBioinformatics