Author

Grace S. Kim

1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-8680-336XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Ajay A. SapreiD· 1 shared Alan SotoiD· 1 shared Alex Sova· 1 shared Alexander B. RosenbergiD· 1 shared Alexander M. TsankoviD· 1 shared Amir HorowitziD· 1 shared Andrea WolfiD· 1 shared Anna TochevaiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperGenomics

Ajay A. SapreORCID

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3 papers

Recent·Most cited

Single cell view of tumor microenvironment gradients in pleural mesothelioma

Bruno Giotti, Komal Dolasia, William Zhao, Peiwen Cai, Robert Sweeney, Elliot Merritt, Evgeny Kiner, Grace S. Kim, Atharva Bhagwat, Thinh Nguyen, Samarth Hegde, Bailey G. Fitzgerald, Sanjana Shroff, Travis Dawson, Monica Garcia-Barros, , Alexander M. Tsankov

This paper uses single-cell RNA-sequencing to analyze the tumor microenvironment in pleural mesothelioma, identifying gene programs, fetal-like endothelial cells, and a new therapeutic target.

bioRxiv · Mar 14, 2024Cancer Biology

High sensitivity single cell RNA sequencing with split pool barcoding

Vuong Tran, Efthymia Papalexi, Sarah Schroeder, Grace S. Kim, Ajay A. Sapre, Joey Pangallo, Alex Sova, Peter Matulich, Lauren Kenyon, Zeynep Sayar, Ryan T. Koehler, Daniel Diaz, Archita Gadkari, Kamy J. Howitz, Maria Nigos, , Alexander B. Rosenberg

This paper introduces an improved combinatorial barcoding method for scRNA-seq that significantly increases sensitivity, detecting more transcripts and genes per cell across various sample types.

bioRxiv · Aug 27, 2022 · PreprintGenomics

DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species

Yanhui Hu, Sudhir Gopal Tattikota, Yifang Liu, Aram Comjean, Yue Gao, Corey Forman, Grace S. Kim, Jonathan Rodiger, Irene Papatheodorou, Gilberto dos Santos, Stephanie Elizabeth Mohr, Norbert Perrimon

DRscDB provides a database for comparing scRNA-seq data across species, enabling searches for orthologous genes and cell type-specific expression patterns.

Computational and Structural Biotechnology Journal · Jan 1, 2021Peer-reviewedBioinformatics