SUNGKYUNKWAN UNIVERSITY SCHOOL OF MEDICINE
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Professor
Professor
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Daesik Kim
Daesik Kim PhD
| Graduate Program | Data Science&Personalized Medicine, Development&Regeenrative Medicine |
| Research Area | CRISPR-mediated Genome editing |
| Laboratory | Genome Editing Laboratory |
| dskim89@skku.edu | |
| Tel | +82-31-299-6127 |
Education & Careers
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2021. 07 - Present Assistant Professor, Sungkyunkwan University School of Medicine
2019. 08 - 2021.06 Researcher, Korea Research Institute of Bioscience and Biotechnology
2018. 03 - 2019. 07 Postdoctoral fellow, Institute for Basic Science
2016. 09 - 2018. 02 Postdoctoral fellow, Seoul National University, Seoul, Korea
2013. 03. - 2016. 08. PhD, Seoul National University, Seoul, Korea
2011. 03. - 2013. 02. MS, Gachon University of medicine and science, Inchon, Korea
2007. 02. - 2011. 02. BS, Gachon University of medicine and science, Inchon, Korea
Research Interest
1. Evaluating and enhancing target specificity of CRISPR systems
2. Genome editing for disease modeling and gene therapy
3. CRISPR screens for the identification of therapeutic targets
4. Development of a new CRISPR genome editing system
2. Genome editing for disease modeling and gene therapy
3. CRISPR screens for the identification of therapeutic targets
4. Development of a new CRISPR genome editing system
Representative Research Achievements
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1. D. Kim at al., Unbiased investigation of specificities of prime editing systems in human cells NAR (2020) IF: 11.5
2. D. Kim at al., Genome-wide specificity of dCpf1 cytidine base editors. Nature communications (2020) IF: 12.1
3. D. Kim at al., Evaluating and Enhancing Target Specificity of Gene-Editing Nucleases and Deaminases. Annual Review of Biochemistry (2019) IF: 30.3
4. D. Kim at al., Genome-wide target specificity of CRISPR RNA-guided adenine base editors. Nature Biotechnology (2019) IF: 31.9
5. D. Kim at al., Genome-wide target specificities of CRISPR RNA-guided programmable deaminases. Nature Biotechnology 35, 475-480 (2017) IF: 31.9
6. D. Kim at al., Genome-wide analysis reveals specificities of Cpf1 endonucleases in human cells. Nature Biotechnology 34, 863-868 (2016) IF: 31.9
7. D. Kim at al., Digenome-seq: Genome-wide Profiling of CRISPR-Cas9 Off-target Effects in Human Cells. Nature Methods 12, 237-243 (2015) IF: 28.5