Application of Single-Cell Multi-Omics in Dissecting Cancer Cell Plasticity and Tumor Heterogeneity

被引:26
|
作者
Pan, Deshen
Jia, Deshui [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Med, Dept Urol, Lab Canc Genom & Biol, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
single-cell techniques; tumor heterogeneity; cellular plasticity; clone evolution; precision therapy; BREAST-CANCER; INTRATUMORAL HETEROGENEITY; SUBCELLULAR RESOLUTION; STATE TRANSITIONS; MESSENGER-RNA; EVOLUTION; MELANOMA; SUBTYPES; IDENTIFICATION; ARCHITECTURE;
D O I
10.3389/fmolb.2021.757024
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Tumor heterogeneity, a hallmark of cancer, impairs the efficacy of cancer therapy and drives tumor progression. Exploring inter- and intra-tumoral heterogeneity not only provides insights into tumor development and progression, but also guides the design of personalized therapies. Previously, high-throughput sequencing techniques have been used to investigate the heterogeneity of tumor ecosystems. However, they could not provide a high-resolution landscape of cellular components in tumor ecosystem. Recently, advance in single-cell technologies has provided an unprecedented resolution to uncover the intra-tumoral heterogeneity by profiling the transcriptomes, genomes, proteomes and epigenomes of the cellular components and also their spatial distribution, which greatly accelerated the process of basic and translational cancer research. Importantly, it has been demonstrated that some cancer cells are able to transit between different states in order to adapt to the changing tumor microenvironment, which led to increased cellular plasticity and tumor heterogeneity. Understanding the molecular mechanisms driving cancer cell plasticity is critical for developing precision therapies. In this review, we summarize the recent progress in dissecting the cancer cell plasticity and tumor heterogeneity by use of single-cell multi-omics techniques.</p>
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Single-cell multi-omics sequencing and its application in tumor heterogeneity
    Sun, Yuqing
    Liu, Zhiyu
    Fu, Yue
    Yang, Yuwei
    Lu, Junru
    Pan, Min
    Wen, Tian
    Xie, Xueying
    Bai, Yunfei
    Ge, Qinyu
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2023, 22 (04) : 313 - 328
  • [2] Dissecting the intro- and inter-tumor heterogeneity of adrenocortical carcinoma by single-cell multi-omics analyses
    Liu, S.
    Chong, C.
    JOURNAL OF NEUROENDOCRINOLOGY, 2024, 36 : 30 - 30
  • [3] Integration Analysis of Single-Cell Multi-Omics Reveals Prostate Cancer Heterogeneity
    Bian, Xiaojie
    Wang, Wenfeng
    Abudurexiti, Mierxiati
    Zhang, Xingming
    Ma, Weiwei
    Shi, Guohai
    Du, Leilei
    Xu, Midie
    Wang, Xin
    Tan, Cong
    Sun, Hui
    He, Xiadi
    Zhang, Chenyue
    Zhu, Yao
    Zhang, Min
    Ye, Dingwei
    Wang, Jianhua
    ADVANCED SCIENCE, 2024, 11 (18)
  • [4] Single-Cell Multi-Omics and Its Prospective Application in Cancer Biology
    Peng, Anghui
    Mao, Xiying
    Zhong, Jiawei
    Fan, Shuxin
    Hu, Youjin
    PROTEOMICS, 2020, 20 (13)
  • [5] Identifying Cancer Biomarkers with Single-Cell Multi-Omics
    Genetic Engineering and Biotechnology News, 2021, 41 (07): : 48 - 53
  • [6] Applications of single-cell multi-omics in liver cancer
    Peeters, Frederik
    Cappuyns, Sarah
    Pique-Gili, Marta
    Phillips, Gino
    Verslype, Chris
    Lambrechts, Diether
    Dekervel, Jeroen
    JHEP REPORTS, 2024, 6 (07)
  • [7] Multi-omics single-cell analysis
    Nicole Rusk
    Nature Methods, 2019, 16 : 679 - 679
  • [8] Multi-omics single-cell analysis
    Rusk, Nicole
    NATURE METHODS, 2019, 16 (08) : 679 - 679
  • [9] Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
    Liu, Longqi
    Liu, Chuanyu
    Quintero, Andres
    Wu, Liang
    Yuan, Yue
    Wang, Mingyue
    Cheng, Mengnan
    Leng, Lizhi
    Xu, Liqin
    Dong, Guoyi
    Li, Rui
    Liu, Yang
    Wei, Xiaoyu
    Xu, Jiangshan
    Chen, Xiaowei
    Lu, Haorong
    Chen, Dongsheng
    Wang, Quanlei
    Zhou, Qing
    Lin, Xinxin
    Li, Guibo
    Liu, Shiping
    Wang, Qi
    Wang, Hongru
    Fink, J. Lynn
    Gao, Zhengliang
    Liu, Xin
    Hou, Yong
    Zhu, Shida
    Yang, Huanming
    Ye, Yunming
    Lin, Ge
    Chen, Fang
    Herrmann, Carl
    Eils, Roland
    Shang, Zhouchun
    Xu, Xun
    NATURE COMMUNICATIONS, 2019, 10 (1)
  • [10] Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
    Longqi Liu
    Chuanyu Liu
    Andrés Quintero
    Liang Wu
    Yue Yuan
    Mingyue Wang
    Mengnan Cheng
    Lizhi Leng
    Liqin Xu
    Guoyi Dong
    Rui Li
    Yang Liu
    Xiaoyu Wei
    Jiangshan Xu
    Xiaowei Chen
    Haorong Lu
    Dongsheng Chen
    Quanlei Wang
    Qing Zhou
    Xinxin Lin
    Guibo Li
    Shiping Liu
    Qi Wang
    Hongru Wang
    J. Lynn Fink
    Zhengliang Gao
    Xin Liu
    Yong Hou
    Shida Zhu
    Huanming Yang
    Yunming Ye
    Ge Lin
    Fang Chen
    Carl Herrmann
    Roland Eils
    Zhouchun Shang
    Xun Xu
    Nature Communications, 10