J
Jin-Soo Kim
Researcher at Seoul National University
Publications - 308
Citations - 26566
Jin-Soo Kim is an academic researcher from Seoul National University. The author has contributed to research in topics: CRISPR & Genome editing. The author has an hindex of 66, co-authored 264 publications receiving 21375 citations. Previous affiliations of Jin-Soo Kim include UPRRP College of Natural Sciences & Korea University of Science and Technology.
Papers
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Journal ArticleDOI
Hematopoietic Signaling Mechanism Revealed from a Stem/Progenitor Cell Cistrome
Kyle J. Hewitt,Duk Hyoung Kim,Prithvia Devadas,Rajalekshmi Prathibha,Chandler Zuo,Rajendran Sanalkumar,Kirby D. Johnson,Yoon-A Kang,Jin-Soo Kim,Colin N. Dewey,Sunduz Keles,Emery H. Bresnick +11 more
TL;DR: The hematopoietic stem/progenitor cell cistrome revealed a mediator of a signaling pathway that has broad importance for stem/ Progenitor Cell biology.
Journal ArticleDOI
Arrayed CRISPR screen with image-based assay reliably uncovers host genes required for coxsackievirus infection.
Heon Seok Kim,Kyung Jin Lee,Seong-Jun Kim,Sungchan Cho,Hye Jin Shin,Chonsaeng Kim,Jin-Soo Kim +6 more
TL;DR: This screen was quite reliable and reproducible, as most genes identified in the primary screen were confirmed in secondary screens and ACBD3, whose phenotype was not affected by siRNA-mediated knockdown, was reliably identified.
Patent
Genome engineering via designed tal effector nucleases
Hye Joo Kim,Jin-Soo Kim +1 more
TL;DR: In this paper, a fusion protein having a TAL (transcription activator-like) effector (TALE) domain and a nucleotide cleavage domain is described. But this is not the case for the TAL effector nuclease.
Journal ArticleDOI
PE-Designer and PE-Analyzer: web-based design and analysis tools for CRISPR prime editing.
TL;DR: In this article, the authors present two web-based tools for prime editing guide RNAs (pegRNAs), which contain a primer binding site and a reverse-transcription template at the 3' end.
Proceedings ArticleDOI
A methodology for extracting performance parameters in solid state disks (SSDs)
TL;DR: A methodology which can extract several essential parameters affecting the performance of SSDs is proposed, which will allow us to understand the internal architecture of the target SSD better and to get the most performance out of SSD by performing SSD-specific optimizations.