Single cell multi-omics reveal intra-cell-line heterogeneity across human cancer cell lines

• Published in: Nature communications Vol. 14; no. 1; pp. 8170 - 21
• Main Authors: Zhu, Qionghua, Zhao, Xin, Zhang, Yuanhang, Li, Yanping, Liu, Shang, Han, Jingxuan, Sun, Zhiyuan, Wang, Chunqing, Deng, Daqi, Wang, Shanshan, Tang, Yisen, Huang, Yaling, Jiang, Siyuan, Tian, Chi, Chen, Xi, Yuan, Yue, Li, Zeyu, Yang, Tao, Lai, Tingting, Liu, Yiqun, Yang, Wenzhen, Zou, Xuanxuan, Zhang, Mingyuan, Cui, Huanhuan, Liu, Chuanyu, Jin, Xin, Hu, Yuhui, Chen, Ao, Xu, Xun, Li, Guipeng, Hou, Yong, Liu, Longqi, Liu, Shiping, Fang, Liang, Chen, Wei, Wu, Liang
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 09.12.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 45/91; 631/208/177; 631/208/69; 631/337/2019; Biological analysis; Cancer; Cell Line, Tumor; Copy number; Deoxyribonucleic acid; DNA; DNA Copy Number Variations; Environmental stress; Epigenetics; Epigenomics; Gene sequencing; Heterogeneity; Humanities and Social Sciences; Humans; Hypoxia; multidisciplinary; Multiomics; Neoplasms - genetics; Science; Science (multidisciplinary); Transcriptome; Transcriptomics; Tumor cell lines; Variation

Human cancer cell lines have long served as tools for cancer research and drug discovery, but the presence and the source of intra-cell-line heterogeneity remain elusive. Here, we perform single-cell RNA-sequencing and ATAC-sequencing on 42 and 39 human cell lines, respectively, to illustrate both t...