Author

Chun‐Seok Cho

University of MichiganORCID 0000-0002-9589-5745Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 4 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:spatial domain detection· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Hyun Min KangiD· 4 shared Jun Yong LeeiD· 4 shared Weiqiu ChengiD· 4 shared Yichen SiiD· 4 shared Yongha HwangiD· 4 shared Angelo AnacletoiD· 3 shared Goo JuniD· 3 shared Jer-En HsuiD· 3 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenomics

Hyun Min KangORCID

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4 papers

Recent·Most cited

High-Resolution Spatial Transcriptomic Atlas of Mouse Soleus Muscle: Unveiling Single Cell and Subcellular Heterogeneity in Health and Denervation

Jer-En Hsu, Lloyd Ruiz, Yongha Hwang, Steve D. Guzman, Chun‐Seok Cho, Weiqiu Cheng, Yichen Si, Peter C. D. Macpherson, Angelo Anacleto, Qingyang Zhao, Xiaoya Zhao, Mitchell Schrank, Goo Jun, Hyun Min Kang, Myungjin Kim, , Jun Hee Lee

FEBS Journal · Sep 21, 2026Peer-reviewedPhysiology

Seq-Scope-eXpanded: Spatial Omics Beyond Optical Resolution

Angelo Anacleto, Weiqiu Cheng, Qianlu Feng, Anna Park, Chun‐Seok Cho, Yongha Hwang, Yongsung Kim, Yichen Si, Jer-En Hsu, Qingyang Zhao, Xiaoya Zhao, Daniel Kim, Mitchell Schrank, Alex W. Schrader, S. Y. Yeo, , Jun Yong Lee

Seq-Scope-X improves spatial transcriptomics resolution by expanding tissues, revealing detailed nuclear and cytoplasmic transcriptome differences in liver cells and enabling proteomic analysis in other tissues.

Nature Communications · Feb 10, 2026Peer-reviewedGenomics

Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics

Yongsung Kim, Weiqiu Cheng, Chun‐Seok Cho, Yongha Hwang, Yichen Si, Anna Park, Mitchell Schrank, Jer-En Hsu, Angelo Anacleto, Jingyue Xi, Myungjin Kim, Ellen Pedersen, Olivia I. Koues, Thomas E. Wilson, ChangHee Lee, , Jun Hee Lee

This paper describes a protocol to repurpose Illumina sequencing flow cells for high-resolution spatial transcriptomics, enabling detailed spatial gene expression analysis with improved resolution and cost efficiency.

Nature Protocols · Oct 31, 2024Peer-reviewedGenomics

FICTURE: Scalable segmentation-free analysis of submicron resolution spatial transcriptomics

Yichen Si, ChangHee Lee, Yongha Hwang, Jeong Hyun Yun, Weiqiu Cheng, Chun‐Seok Cho, Miguel Quirós, Asma Nusrat, Weizhou Zhang, Goo Jun, Sebastian K. Zöllner, Jun Hee Lee, Hyun Min Kang

FICTURE provides a scalable segmentation-free method for analyzing high-resolution spatial transcriptomics data, revealing detailed tissue architecture in complex regions.

Nature Methods · Sep 12, 2024Peer-reviewedBioinformatics