Single-cell multiomics sequencing and analyses of human colorectal cancer

Shuhui Bian(Peking University), Yu Hou(Peking University), Xin Zhou(Peking University), Xianlong Li(Peking University), Jun Yong(Ministry of Education of the People's Republic of China), Yicheng Wang(Peking University), Wendong Wang(Peking University), Jia Yan(Peking University), Boqiang Hu(Peking University), Hongshan Guo(Peking University), Jilian Wang(Peking University), Shuai Gao(Peking University), Yunuo Mao(Peking University), Ji Dong(Peking University), Ping Zhu(Peking University), Dianrong Xiu(Peking University), Liying Yan(Ministry of Education of the People's Republic of China), Lu Wen(Peking University), Jie Qiao(Ministry of Education of the People's Republic of China), Fuchou Tang(Peking University), Wei Fu(Peking University)
Science
November 30, 2018
Cited by 392

Abstract

Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells' DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing.


Related Papers

No related papers found

Powered by citation graph analysis