Single-cell nascent RNA sequencing unveils coordinated global transcription

被引:13
|
作者
Mahat, Dig B. [1 ,2 ]
Tippens, Nathaniel D. [1 ,2 ]
Martin-Rufino, Jorge D. [3 ]
Waterton, Sean K. [1 ,2 ,4 ]
Fu, Jiayu [1 ,2 ,5 ]
Blatt, Sarah E. [1 ,2 ,6 ]
Sharp, Phillip A. [1 ,2 ]
机构
[1] MIT, Koch Inst Integrat Canc Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] MIT, Dept Biol, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[4] Stanford Univ, Dept Biol, Stanford, CA 94305 USA
[5] Northwestern Univ, Interdisciplinary Biol Sci Grad Program, Evanston, IL USA
[6] Exact Sci, Madison, WI USA
关键词
GENE-EXPRESSION; SUPER-ENHANCERS; GENOME; IDENTIFICATION; POLYMERASE; INITIATION; PROMOTERS; ELEMENTS; ARCHITECTURE; DYNAMICS;
D O I
10.1038/s41586-024-07517-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Transcription is the primary regulatory step in gene expression. Divergent transcription initiation from promoters and enhancers produces stable RNAs from genes and unstable RNAs from enhancers(1,2). Nascent RNA capture and sequencing assays simultaneously measure gene and enhancer activity in cell populations(3). However, fundamental questions about the temporal regulation of transcription and enhancer-gene coordination remain unanswered, primarily because of the absence of a single-cell perspective on active transcription. In this study, we present scGRO-seq-a new single-cell nascent RNA sequencing assay that uses click chemistry-and unveil coordinated transcription throughout the genome. We demonstrate the episodic nature of transcription and the co-transcription of functionally related genes. scGRO-seq can estimate burst size and frequency by directly quantifying transcribing RNA polymerases in individual cells and can leverage replication-dependent non-polyadenylated histone gene transcription to elucidate cell cycle dynamics. The single-nucleotide spatial and temporal resolution of scGRO-seq enables the identification of networks of enhancers and genes. Our results suggest that the bursting of transcription at super-enhancers precedes bursting from associated genes. By imparting insights into the dynamic nature of global transcription and the origin and propagation of transcription signals, we demonstrate the ability of scGRO-seq to investigate the mechanisms of transcription regulation and the role of enhancers in gene expression.
引用
收藏
页码:216 / +
页数:24
相关论文
共 50 条
  • [31] Single-cell RNA sequencing in cancer research
    Zhang, Yijie
    Wang, Dan
    Peng, Miao
    Tang, Le
    Ouyang, Jiawei
    Xiong, Fang
    Guo, Can
    Tang, Yanyan
    Zhou, Yujuan
    Liao, Qianjin
    Wu, Xu
    Wang, Hui
    Yu, Jianjun
    Li, Yong
    Li, Xiaoling
    Li, Guiyuan
    Zeng, Zhaoyang
    Tan, Yixin
    Xiong, Wei
    JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 2021, 40 (01)
  • [32] Single-cell RNA sequencing: An overview for the ophthalmologist
    Rossin, Elizabeth J.
    Sobrin, Lucia
    Kim, Leo A.
    SEMINARS IN OPHTHALMOLOGY, 2021, 36 (04) : 191 - 197
  • [33] Single-Cell RNA-Sequencing in Glioma
    Johnson, Eli
    Dickerson, Katherine L.
    Connolly, Ian D.
    Gephart, Melanie Hayden
    CURRENT ONCOLOGY REPORTS, 2018, 20 (05)
  • [34] Single-cell RNA sequencing of human kidney
    Liao, Jinling
    Yu, Zhenyuan
    Chen, Yang
    Bao, Mengying
    Zou, Chunlin
    Zhang, Haiying
    Liu, Deyun
    Li, Tianyu
    Zhang, Qingyun
    Li, Jiaping
    Cheng, Jiwen
    Mo, Zengnan
    SCIENTIFIC DATA, 2020, 7 (01)
  • [35] Single-Cell RNA Sequencing of Childhood Medulloblastoma
    Willard, N.
    Riemondy, K.
    Donson, A.
    Venkataraman, S.
    Sanford, B.
    Sill, M.
    Griesinger, A.
    Amani, V.
    Hankinson, T.
    Handler, M.
    Gershon, T.
    Wechsler-Reya, R.
    Hesselberth, J.
    Garancher, A.
    Foreman, N.
    Vibhakar, R.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2020, 22 (11): : S68 - S68
  • [36] Single-cell RNA sequencing of human kidney
    Jinling Liao
    Zhenyuan Yu
    Yang Chen
    Mengying Bao
    Chunlin Zou
    Haiying Zhang
    Deyun Liu
    Tianyu Li
    Qingyun Zhang
    Jiaping Li
    Jiwen Cheng
    Zengnan Mo
    Scientific Data, 7
  • [37] Revolutionizing immunology with single-cell RNA sequencing
    Haide Chen
    Fang Ye
    Guoji Guo
    Cellular & Molecular Immunology, 2019, 16 : 242 - 249
  • [38] Single-cell RNA sequencing in orthopedic research
    Tao Wang
    Ling Wang
    Liping Zhang
    Yubin Long
    Yingze Zhang
    Zhiyong Hou
    Bone Research, 11
  • [39] Experimental design for single-cell RNA sequencing
    Baran-Gale, Jeanette
    Chandra, Tamir
    Kirschner, Kristina
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2018, 17 (04) : 233 - 239
  • [40] Single-cell RNA-sequencing of the brain
    Duran, Raquel Cuevas-Diaz
    Wei, Haichao
    Wu, Jia Qian
    CLINICAL AND TRANSLATIONAL MEDICINE, 2017, 6