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

일시: 2016. 6. 16.(목) 11:00

연사: 최정현 교수 (조지아의대 생물통계학과 암센터)

장소: 220동 625호

Title: Elucidation of Relationship Between DNA Methylation and Chromatin Accessibility

Abstact

  DNA methylation is an important epigenetic mechanism in gene regulation and transposon silencing in cells. Methylation adds a methyl group to the cytosines, which suppresses gene expression. Aberrant methylation has been found to be associated with a variety of diseases including cancer. The recent advances in next generation sequencing technologies have enabled high-throughput, genome-wide DNA methylation studies at single-base resolution. The complete methylomes of several human embryonic stem (ES) cell lines and peripheral blood mononuclear cells have been mapped using whole genome shotgun bisulfite sequencing, which is increasingly utilized to analyze clinical specimens of various diseases, particularly cancer samples. Bisulfite sequencing is one of popular methods to study DNA methylation because it is based on the fact that bisulfite treatment converts unmethylated cytosines to thymines without converting methylated cytosines.

  Recent studies have shown that nucleosome-bounded regions cannot be accessed by regulatory elements including polymerase and those in gene promoters prevent gene expression. In addition, the studies have revealed that the dynamics of nucleosome positioning is highly related to DNA methylation to generate chromatin structure. NOMe-seq that uses a GpC methyltransferase (M.CvPI) and next generation sequencing has very recently developed to measure DNA methylation and nucleosome positioning simultaneously in the single molecule. This overcomes Mnase-seq that requires very high read depth for accurate estimation of nucleosome positioning.

  In this talk, I present our recent work, published in Cell Reports in 2012, to correlate DNA methylation to histone modification marks and nucleosome positioning in embryonic carcinoma cells. In addition, I introduce an ongoing project to elucidate the relationship between DNA methylation and nucleosome positioning using NOMe0seq. Finally, I demonstrate a comprehensive analysis pipeline to analyze NOMe-seq from mapping bisulfite-converted sequences to identifying differentially methylated regions (DMRs) between samples or groups using statistical methods.

Bio

• 1986 부산대학교 자연대학 물리학과
• 1998 부산대학교 자연대학 전자계산학과 석사
• 2000 부산대학교 자연대학 전자계산학과 박사
• 2004 Indiana University, School of Informatics, Postdoc
• 2006 Indiana University, Center for Genomics and Bioinformatics, Researcher
• 2009 Indiana University, Center for Genomics and Bioinformatics, Assistant Scientist
• 2011 Medical College of Georgia, Department of Biostatistics and Epidemiology, Cancer Center, Assistant Professor

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최