Author

Jer-En Hsu

University of MichiganORCID 0000-0002-2968-1853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Pathology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 4 Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Organism:mouse· 3 Research Focus:spatial domain detection· 3 Research Focus:cell-cell communication· 2 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Hyun Min KangiD· 4 shared Jun Yong LeeiD· 4 shared Myungjin KimiD· 4 shared Weiqiu ChengiD· 4 shared Angelo AnacletoiD· 3 shared Chun‐Seok ChoiD· 3 shared Mitchell Schrank· 3 shared Yichen SiiD· 3 shared

Activity by Year

2024-2026 · peak 3/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

Histopathology and spatial transcriptomics jointly map myofiber-specific pathological programs in mTORC1-driven myopathy

Jer-En Hsu, Qingyang Zhao, Weiqiu Cheng, Hyun Min Kang, Susan V. Brooks, Myungjin Kim, Jun Hee Lee

This study combines histopathology and spatial transcriptomics to show that mTORC1 hyperactivation causes fiber-type-specific pathological changes in skeletal muscle.

JCI Insight · Aug 20, 2026Peer-reviewedPathology

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