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
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-023-43991-9

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 transcriptomic and epigenetic heterogeneity within individual cell lines. Our data reveal that transcriptomic heterogeneity is frequently observed in cancer cell lines of different tissue origins, often driven by multiple common transcriptional programs. Copy number variation, as well as epigenetic variation and extrachromosomal DNA distribution all contribute to the detected intra-cell-line heterogeneity. Using hypoxia treatment as an example, we demonstrate that transcriptomic heterogeneity could be reshaped by environmental stress. Overall, our study performs single-cell multi-omics of commonly used human cancer cell lines and offers mechanistic insights into the intra-cell-line heterogeneity and its dynamics, which would serve as an important resource for future cancer cell line-based studies. Intra-cell line heterogeneity remains to be characterized. Here, the use of single multi-omics on a large panel of human cell lines identifies copy number variation, epigenetic variation and extrachromosomal DNA distribution as the main contributors to intra-cell line heterogeneity.