Author

J.-W. Cho

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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Cancer Biology· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

M. Hemberg· 2 shared A. Aivazidis· 1 shared A. Filby· 1 shared A. Huseynov· 1 shared A. J. Fisher· 1 shared A. M. A. Miranda· 1 shared A. M. Randi· 1 shared B. Hanley· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersPathology

M. Hemberg

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Author profile →

3 papers

Recent·Most cited

Integrated histopathology, spatial and single cell transcriptomics resolve cellular drivers of early and late alveolar damage in COVID-19

J. T. H. Lee, S. N. Barnett, K. Roberts, H. Ashwin, L. Milross, J.-W. Cho, A. Huseynov, B. Woodhams, A. Aivazidis, T. Li, J. Majo, P. C. Guerrero, M. Lee, A. M. A. Miranda, Z. Jablonska, , O. A. Bayraktar

This study integrates single-cell and spatial transcriptomics with histopathology to identify cellular and molecular changes in lung alveolar damage during COVID-19 progression.

bioRxiv · Dec 20, 2023Pathology

Therapy-associated remodeling of pancreatic cancer revealed by single-cell spatial transcriptomics and optimal transport analysis

C. Shiau, J. Cao, M. T. Gregory, D. Gong, X. Yin, J.-W. Cho, P. L. Wang, J. Su, S. Wang, J. W. Reeves, T. K. Kim, Y. Kim, J. A. Guo, N. A. Lester, N. Schurman, , W. L. Hwang

This study uses single-cell spatial transcriptomics and optimal transport analysis to reveal therapy-induced changes in pancreatic cancer microenvironment interactions.

bioRxiv · Jun 28, 2023 · PreprintCancer Biology

Single-cell transcriptome analysis reveals TOX as a promoting factor for T-cell exhaustion and a predictor for anti-PD1 responses in human cancer

K. Kim, S. Park, S. Y. Park, G. Kim, S. M. Park, J.-W. Cho, D. H. Kim, Y. M. Park, Y. W. Koh, H. R. Kim, S.-J. Ha, I. Lee

The paper identifies TOX as a factor promoting T-cell exhaustion and predicts its role in anti-PD1 therapy outcomes using single-cell transcriptome data from cancer patients.

bioRxiv · Dec 3, 2019 · PreprintCancer Biology