Author

H. M. Kang

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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Cell Biology· 2 Bioengineering· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Research Focus:differential expression· 3 Approach:experimental assay· 3 Organism:mouse· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

J. H. Lee· 3 shared C.-S. Cho· 2 shared J. Xi· 2 shared S.-R. Park· 2 shared C. H. Kim· 1 shared C. Hurtado· 1 shared E. Yoon· 1 shared F. Prosper· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBioengineering

J. H. Lee

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies

C.-S. Cho, J. Xi, S.-R. Park, J.-E. Hsu, M. Kim, G. Jun, H. M. Kang, J. H. Lee

Seq-Scope provides submicrometer-resolution spatial transcriptomics for single-cell and subcellular analysis by using barcoded clusters on an Illumina platform.

bioRxiv · Jan 25, 2021Bioengineering

Renal proximal tubule cell state and metabolism are coupled by nuclear receptors

J. Park, p. dhillon, C. Hurtado, L. Li, S. Huang, J. Zhao, H. M. Kang, R. Shrestra, M. S. Blazer, S. Chatterjee, P. Prado, S. Han, H. Liu, X. Sheng, K. Batmanov, , K. Susztak

The paper identifies proximal tubule cell state and metabolism as coupled by nuclear receptors in kidney disease using single-cell RNA-sequencing.

bioRxiv · Sep 21, 2020 · PreprintCell Biology

Holistic Characterization of Single Hepatocyte Transcriptome Responses to High Fat Diet

S.-R. Park, C.-S. Cho, J. Xi, H. M. Kang, J. H. Lee

This study uses single-cell RNA-sequencing to analyze how hepatocytes respond to high-fat diet and NAFLD, revealing heterogeneous transcriptomic changes across liver zones.

bioRxiv · Apr 16, 2020Physiology

Heterogeneous transcriptome response to DNA damage at single cell resolution.

S. R. Park, S. Namkoong, Z. Z. Zhang, L. Friesen, Y.-C. Chen, E. Yoon, C. H. Kim, H. Kwak, H. M. Kang, J. H. Lee

The paper shows that DNA damage induces heterogeneous transcriptome responses in cancer cells, with distinct transcriptional programs dictating cell fate outcomes such as checkpoint, apoptosis, or chemoresistance.

bioRxiv · Aug 15, 2019Cell Biology