2017.06.06 Mutational analysis of single cells using whole-genome sequencing
题 目： Mutational analysis of single cells using whole-genome sequencing
报告人： Peter P. Park, Harvard Medical School
时 间： 2017-06-06 (周二), 16:00
地 点： 北京大学二教314
Whole-genome sequencing allows detailed characterization of the mutational landscape in a genome, including single nucleotide, copy number, and structural variants. We will describe our recent work in whole-genome sequencing of single neurons to identify somatic mutations in the human brain. Our analysis found more than a thousand somatic single nucleotide variants per cell as well as somatic retrotransposition and other events. These somatic mutations allow us to infer nested lineage trees of single neurons, revealing a polyclonal architecture of the human cerebral cortex.
Dr. Park is Professor of Biomedical Informatics at Harvard Medical School and the director of its Bioinformatics and Integrative Genomics Ph.D. program. His group (http://compbio.hms.harvard.edu) specializes in computational and statistical analysis of high-throughput sequencing data in epigenomics and cancer genomics. Originally trained in applied mathematics (B.A., Harvard; Ph.D., Caltech), he was introduced to molecular biology and genetics during his postdoctoral studies. His laboratory has developed several algorithms for genome analysis and has made major contributions to the Encyclopedia of DNA Elements (ENCODE) and The Cancer Genome Atlas (TCGA) projects. He is a co-leader of the Cancer Data Sciences Program at Harvard/Dana-Farber Cancer Center, director of the Center for Stem Cell Bioinformatics at the Harvard Stem Cell Institute, and a member of the Division of Genetics at Brigham and Women's Hospital.