서울대학교 생물정보연구소와 생물정보학 협동과정 공동 주최로 특별 세미나를 아래와 같이 열고자 하오니, 많은 참여 바랍니다.

일시: 2015. 6. 30.(금) 13:30

연사: Kyoung-Jae Won (University of Pennsylvania)

장소: 220동 625호

Title: Interrogating nascent RNAs identifies transcriptional mechanisms in adipocytes

Abstact

Global run-on sequencing (GROseq) is a derivative of RNA-Seq that aims to measure rates of transcript (instead of steady state RNA levels) by directly measuring production. GROseq can measure transcription activity at coding RNA, non-coding RNAs as well as enhancers. Enhancer RNA (eRNA) is an excellent marker that shows enhancer activities, which strongly correlate with their target gene transcription levels. Integrating the eRNA levels and epigenomic data, I interrogate activating/repressive gene regulatory logic in murine adipocytes. Using GROseq, we show that co-transcriptional splicing events are prevalently observed in adipocytes. After training the relationship between eRNA and gene transcriptional activity, we predict the long-range promoter-enhancer interactions. Finally, I use systematic approaches applied to GROseq and RNAseq to investigate the mRNA stability.

Bio

Kyoung-Jae Won is a Research Assistant Professor of Genetics at the University of Pennsylvania. He earned his B.S. and M.S. degree of Electronics at the Chung-Ang University in 1996 and 1998, respectively. He received his Ph.D at the University of Southampton, UK in 2005. During his Ph.D he applied the Genetic Algorithm to learn the structure of hidden Markov models (HMMs) for biological sequence analysis. After spending one year at the Bioinformatics Center, University of Copenhagen, Denmark as a postdoctoral researcher, he moved to the University of California San Diego (UCSD) where he developed computational algorithms to study gene regulation using (epi)genome-wide sequencing data. Since joining Penn in 2011, he has performed large-scale analyses using various types of datasets including ChIP-seq, DNase-seq and RNA-seq. He has published 37 peer-reviewed papers in many areas of research including bioinformatics, stem cell differentiation, epigenetic regulation and gene regulatory networks.

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최