Single-cell multi-omics: DNA methylation and 3D genome
Presented By:
Yaping Liu, Ph.D.
Speaker Biography:
Yaping Liu is an Assistant Professor (tenure-track) at Division of Human Genetics in Cincinnati Children's Hospital Medical Center and Department of Pediatrics in University of Cincinnati College of Medicine (2019-). The focus of his lab is on developing and applying machine learning (dry-lab) and high-throughput experimental methods (wet-lab) to understand the gene regulation and non-coding genetic variants. Specifically, we would like to understand the multi-omics heterogeneity in circulating cell-free DNA and its related cell types to explore the role of epigenetics in gene regulation and therefore bridge the gap between genetic and phenotypic variations at different healthy and pathological conditions.
Prior to joining CCHMC and UC faculty, he was a principal computational biologist at a liquid biopsy company to develop computational methods for cancer early detection in 2018. In 2014-2017, he was a postdoc associate with Dr. Manolis Kellis at the Computer Science and Artificial Intelligence Laboratory (CSAIL) in MIT and Broad institute of MIT and Harvard. In 2014, He received his Ph.D. in Genetics, Molecular and Cellular Biology focused on cancer epigenomics under the supervision of Dr. Benjamin P. Berman at University of Southern California. In 2008, he received his B.S. in Biotechnology from Nanjing University in China.
Webinar:
Single-cell multi-omics: DNA methylation and 3D genome
Webinar Abstract:
We report a molecular assay, Methyl-HiC, that can simultaneously capture the chromosome conformation and DNA methylome in a cell. Methyl-HiC reveals coordinated DNA methylation status between distal genomic segments that are in spatial proximity in the nucleus, and delineates heterogeneity of both the chromatin architecture and DNA methylome in a mixed population. It enables simultaneous characterization of cell-type-specific chromatin organization and epigenome in complex tissues.
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