Author

Su Jing Chan

Biogen (United States)ORCID 0000-0001-7166-9658Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Baohong ZhangiD· 2 shared Hui‐Hsin TsaiiD· 2 shared Patrick F. Cullen· 2 shared Sarbottam PiyaiD· 2 shared Taylor L. ReynoldsiD· 2 shared Thomas M. CarlileiD· 2 shared Wenxing HuiD· 2 shared Amanda J. GuiseiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersNeuroscience

Baohong ZhangORCID

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2 papers

Recent·Most cited

Spatial transcriptomics reveals heterogeneous cell-cell interactions among brain regions in a cuprizone model consistent with multiple sclerosis lesions

Hui‐Hsin Tsai, Sarbottam Piya, Jing Wang, Jing Zhu, Wenxing Hu, Andrew R. Gehrke, Shaolong Cao, Amanda J. Guise, Su Jing Chan, Mark J. Sheehan, Jenhwa Chu, Zhengyu Ouyang, Matthew M. Ryals, Michelle Lee, Wanli Wang, , Baohong Zhang

The paper uses spatial transcriptomics to analyze cell-cell interactions in a cuprizone model, finding region-specific changes and partial translatability to multiple sclerosis lesions.

Frontiers in Bioinformatics · Aug 6, 2026Peer-reviewedNeuroscience

Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE

Amelia R. Schroeder, Melanie Loth, Chunyu Luo, Sicong Yao, Hanying Yan, Daiwei Zhang, Sarbottam Piya, Edward D. Plowey, Wenxing Hu, Jean Rene V. Clemenceau, Inyeop Jang, Minji Kim, Isabel Barnfather, Su Jing Chan, Taylor L. Reynolds, , Mingyao Li

iSCALE predicts super-resolution gene expression and annotates tissue architecture in large tissues, revealing features missed by conventional spatial transcriptomics.

Nature Methods · Sep 1, 2025Peer-reviewedGenomics