[17.08.15] 번역 비번역 전사체 지도
[19.03.12] 여성 X염색체 비활성화 비밀
[19.09.22] 새로운 마이크로RNA 타겟 조절 기전
[19.11.11] 이달의 연구자 선정 인터뷰
[19.11.19] 난치성 식도암 새로운 치료 표적 유전자 발견
[20. 01. 26] 이달의 연구자
About Professor Nam, Jin-Wu
After receiving his bachelor degree from Dept. of Biology of Yonsei Univ., Prof. Nam studied bioinformatics in the interdisciplinary program in bioinformatics of Seoul National Univ. (SNU). During his PhD in the lab of Prof. Byoung-Tak Zhang at SNU, he developed probabilistic graphical methods for human microRNA (miRNA) identification and target prediction (Nam et al., NAR, 2005; Nam et al., NAR, 2006; Kim*, Nam* et al., BMC Bioinformatics, 2006) and identified structural principles for miRNA biogenesis (Han et al., Cell, 2006; Kim and Nam, Trends in Genetics, 2006) with collaborating with Prof. V. Narry Kim at SNU.
During his postdoctoral work in the lab of Prof. David Bartel at the Whitehead Institute/MIT, he studied a novel form of gene regulation by miRNAs that is mediated by a new type of target site (centered site) (Shin*, Nam* et al, 2010, Mol Cell). Related to this work, he studied how miRNA targeting varies between cell types due to alternative polyadenylation (APA), which was assayed using poly(A) position profile-sequencing (3P-seq) (Nam et al., 2014. Mol Cell). In separate work, he used ab initio transcriptome reconstruction to identify hundreds of long intervening non-coding RNAs (lincRNAs) that are temporally and spatially regulated during C. elegans development (Nam and Bartel, Genome Res., 2012).
In Sept 2012, he moved to a faculty position of the Graduate School in Biomedical Science and Engineering at Hanyang Univ, Seoul, and then joined a faculty in Dept. of Life Science, College of Natural Sciences at the same univ. He has been developing machine-learning-based methods to identify non-coding transcripts (Choi and Nam, 2018, BMC Bioinfo.; Choi et al., 2018, Briefings in Bioinfo.) and to predict the 3'-end of transcript (Kim et al., Methods, 2015), and he has been also focusing on reconstructing coding and non-coding transcriptome maps in human (You et al., Genome Res. 2017) and vertebrates (Hong et al., IJMS, 2018). To further understand the interaction between coding and non-coding elements and the regulatory roles in the relationship, we have been developing an efficient CRISPR/Cas system (Kim et al., 2017, Nature Methods), which was applied to the human XIST study, leading to finding of functional elements of Human XIST (Lee et al., Nucleic Acids Res. 2019), identifying a novel lncRNA gene that regulates Wnt signaling pathways in development of squamous cell-tpye carcinoma (You et al., 2019 PNAS), and uncovering a novel UPF1-dependent miRNA-mediated mRNA decay pathway (Park et al., Nature Comm.). Recently, he has been expanding his interests to genome assembly (Sohn et al., 2018, GigaScience; Sohn et al., 2018, Briefings in Bioinfo.), its related algorithms to efficiently detect genomic variations (in preparation) and single-cell transcriptome studies (in preparation).