PhysiologyFEBS JournalPeer-reviewed
High-Resolution Spatial Transcriptomic Atlas of Mouse Soleus Muscle: Unveiling Single Cell and Subcellular Heterogeneity in Health and Denervation
12 citations
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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2024-2026 · peak 2/yrCo-Author Collaboration Network
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Curved chords = mutual co-authorship4 papers
Recent·Most cited
- GenomicsNature CommunicationsPeer-reviewed
Seq-Scope-eXpanded: Spatial Omics Beyond Optical Resolution
Angelo Anacleto, Weiqiu Cheng, Qianlu Feng…·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.
- GenomicsNature ProtocolsPeer-reviewed
Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics
Yongsung Kim, Weiqiu Cheng, Chun‐Seok Cho…·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.
- BioinformaticsNature MethodsPeer-reviewed
FICTURE: Scalable segmentation-free analysis of submicron resolution spatial transcriptomics
Yichen Si, ChangHee Lee, Yongha Hwang…·Hyun Min Kang
FICTURE provides a scalable segmentation-free method for analyzing high-resolution spatial transcriptomics data, revealing detailed tissue architecture in complex regions.
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