各位老师、同学您们好，
1月7号上午9:30 华大基因侯勇来实验室个报告“Single cell omics: application on tumor evolution study”，报告相关内容如下，附件是其个人简介。欢迎有兴趣的各位老师、同学准时参加！
地点：丁家桥小蓝楼三楼会议室
报告简介：
Single cell omics: application on tumor evolution study
Inferring Tumor Progression by 1,000 Single Cell Exomes of Five Cancers
Abstract
The heterogeneity of tumor tissues bring a great block for scientists to detect the complex genetic chages during cancer progression. So far, deep sequencing of tumor tissues or of cancer cell lines has provided an incomplete understanding of the genetic information and mechanisms involved in tumor progression. More recently, single cell sequencing technology brings light on the decoding of single tumor genomes and inferring the evolution of tumor. To provide a more comprehensive picture of the genetic changes that occur in tumors, we have carried out whole-exome sequencing at a single cell level of five common cancers: gastric cancer, colorectal cancer, renal cancer, bladder cancer, and leukemia cancer, and assessed the genetic changes that had occurred within these cells. We sequenced ~800 single cancer cells and 170 paracancerous normal cells using the Illumina HiSeq 2000 platform, and obtained a mean coverage of 30-fold for each cancer type. For each cell, we recovered ~80% of the whole exome information. Our cell-to-cell comparative analysis revealed single nucleotide polymorphisms (SNPs) that differed between these cells. These mutations allowed us to cluster these cells into cancer and normal cell types, and then to further divide them into different subpopulations. Based on these confidential data, we performed population analysis and clustering analysis to infer the genetic pattern of these heterogeneity mutations. Our results reveal promising prospects for single cell sequencing on cancer study, and explore the pioneer methodology on tumor evolution.
