Integrative epigenomic and transcriptomic analysis reveals the requirement of JUNB for hematopoietic fate induction

被引:0
|
作者
Xia Chen
Peiliang Wang
Hui Qiu
Yonglin Zhu
Xingwu Zhang
Yaxuan Zhang
Fuyu Duan
Shuangyuan Ding
Jianying Guo
Yue Huang
Jie Na
机构
[1] Tsinghua-Peking Center for Life Sciences,Center for Stem Cell Biology and Regenerative Medicine, School of Medicine
[2] Tsinghua University,School of Life Sciences
[3] Tsinghua University,Center for Reproductive Medicine, Department of Obstetrics and Gynaecology
[4] Guangzhou Women and Children’s Medical Center,State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences
[5] Peking University Third Hospital,undefined
[6] Chinese Academy of Medical Sciences & Peking Union Medical College,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Human pluripotent stem cell differentiation towards hematopoietic progenitor cell can serve as an in vitro model for human embryonic hematopoiesis, but the dynamic change of epigenome and transcriptome remains elusive. Here, we systematically profile the chromatin accessibility, H3K4me3 and H3K27me3 modifications, and the transcriptome of intermediate progenitors during hematopoietic progenitor cell differentiation in vitro. The integrative analyses reveal sequential opening-up of regions for the binding of hematopoietic transcription factors and stepwise epigenetic reprogramming of bivalent genes. Single-cell analysis of cells undergoing the endothelial-to-hematopoietic transition and comparison with in vivo hemogenic endothelial cells reveal important features of in vitro and in vivo hematopoiesis. We find that JUNB is an essential regulator for hemogenic endothelium specialization and endothelial-to-hematopoietic transition. These studies depict an epigenomic roadmap from human pluripotent stem cells to hematopoietic progenitor cells, which may pave the way to generate hematopoietic progenitor cells with improved developmental potentials.
引用
收藏
相关论文
共 50 条
  • [11] Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types
    Wu, Wenming
    Zhang, Wensheng
    Ma, Xiaoke
    BRIEFINGS IN BIOINFORMATICS, 2022, 23 (02)
  • [12] Maternal high-fat diet and the fetal liver: Integrative analysis of epigenomic and transcriptomic reprogramming in primates
    Pew, Braden
    Harris, R. Alan
    Hu, Min
    Aagaard, Kjersti
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2018, 218 (01) : S358 - S359
  • [13] Integrated transcriptomic and epigenomic analysis of ovarian cancer reveals epigenetically silenced GULP1
    Maldonado, Leonel
    Brait, Mariana
    Izumchenko, Evgeny
    Begum, Shahnaz
    Chatterjee, Aditi
    Sen, Tanusree
    Loyo, Myriam
    Barbosa, Alvaro
    Poeta, Maria Luana
    Makarev, Eugene
    Zhavoronkov, Alex
    Fazio, Vito M.
    Angioli, Roberto
    Rabitti, Carla
    Ongenaert, Mate
    Van Criekinge, Wim
    Noordhuis, Maartje G.
    de Graeff, Pauline
    Wismann, G. Bea A.
    van der Zee, Ate G. J.
    Hoque, Mohammad O.
    CANCER LETTERS, 2018, 433 : 242 - 251
  • [14] Integrative Analysis of Metabolomic and Transcriptomic Data Reveals Metabolic Alterations in Glioma Patients
    Shi, Yingying
    Ding, Daling
    Liu, Liwei
    Li, Zhuolun
    Zuo, Lihua
    Zhou, Lin
    Du, Quzheng
    Jing, Ziwei
    Zhang, Xiaojian
    Sun, Zhi
    JOURNAL OF PROTEOME RESEARCH, 2021, 20 (05) : 2206 - 2215
  • [15] Integrative analysis of synovial sarcoma transcriptome reveals different types of transcriptomic changes
    Sun, Zhengwang
    Yin, Mengchen
    Ding, Yi
    Zhu, Zixu
    Sun, Yangbai
    Li, Kun
    Yan, Wangjun
    FRONTIERS IN GENETICS, 2022, 13
  • [16] Integrative transcriptomic analysis reveals key drivers of acute peanut allergic reactions
    Watson, C. T.
    Cohain, A. T.
    Griffin, R. S.
    Chun, Y.
    Grishin, A.
    Hacyznska, H.
    Hoffman, G. E.
    Beckmann, N. D.
    Shah, H.
    Dawson, P.
    Henning, A.
    Wood, R.
    Burks, A. W.
    Jones, S. M.
    Leung, D. Y. M.
    Sicherer, S.
    Sampson, H. A.
    Sharp, A. J.
    Schadt, E. E.
    Bunyavanich, S.
    NATURE COMMUNICATIONS, 2017, 8
  • [17] Integrative transcriptomic analysis reveals key drivers of acute peanut allergic reactions
    C. T. Watson
    A. T. Cohain
    R. S. Griffin
    Y. Chun
    A. Grishin
    H. Hacyznska
    G. E. Hoffman
    N. D. Beckmann
    H. Shah
    P. Dawson
    A. Henning
    R. Wood
    A. W. Burks
    S. M. Jones
    D. Y. M. Leung
    S. Sicherer
    H. A. Sampson
    A. J. Sharp
    E. E. Schadt
    S. Bunyavanich
    Nature Communications, 8
  • [18] Comparative and integrative analysis of transcriptomic and epigenomic-wide DNA methylation changes in African American prostate cancer
    Creighton, Chad J.
    Zhang, Flora
    Zhang, Yiqun
    Castro, Patricia
    Hu, Rong
    Islam, Md
    Ghosh, Somiranjan
    Ittmann, Michael
    Kwabi-Addo, Bernard
    EPIGENETICS, 2023, 18 (01)
  • [19] Integrative Epigenomic/Transcriptomic Analysis of Sex-Biased Differences in in a Murine Model of Neonatal Hyperoxic Lung Injury
    Lingappan, K.
    Katz, T.
    Kumar, R.
    Walker, C.
    Moorthy, B.
    Coarfa, C.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199
  • [20] scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data
    Li, Wei
    Xiang, Bin
    Yang, Fan
    Rong, Yu
    Yin, Yanbin
    Yao, Jianhua
    Zhang, Han
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (06)