跳到主要导航 跳到搜索 跳到主要内容

Deciphering the metabolic heterogeneity of hematopoietic stem cells with single-cell resolution

  • Jing Cao
  • , Qi Jason Yao
  • , Jiao Wu
  • , Xiaonan Chen
  • , Lin Huang
  • , Wanshan Liu
  • , Kun Qian*
  • , Jing Jing Wan*
  • , Bo O. Zhou*
  • *此作品的通讯作者
  • State Key Laboratory of Systems Medicine for Cancer
  • Shanghai Jiao Tong University
  • Shanghai Key Laboratory of Gynecologic Oncology
  • Division of Cardiology
  • State Key Laboratory of Cell Biology
  • CAS - Center for Excellence in Molecular Cell Science
  • Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development
  • East China Normal University
  • State Key Laboratory of Experimental Hematology
  • Chinese Academy of Medical Sciences

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Metabolic status is crucial for stem cell functions; however, the metabolic heterogeneity of endogenous stem cells has never been directly assessed. Here, we develop a platform for high-throughput single-cell metabolomics (hi-scMet) of hematopoietic stem cells (HSCs). By combining flow cytometric isolation and nanoparticle-enhanced laser desorption/ionization mass spectrometry, we routinely detected >100 features from single cells. We mapped the single-cell metabolomes of all hematopoietic cell populations and HSC subpopulations with different division times, detecting 33 features whose levels exhibited trending changes during HSC proliferation. We found progressive activation of the oxidative pentose phosphate pathway (OxiPPP) from dormant to active HSCs. Genetic or pharmacological interference with OxiPPP increased reactive oxygen species level in HSCs, reducing HSC self-renewal upon oxidative stress. Together, our work uncovers the metabolic dynamics during HSC proliferation, reveals a role of OxiPPP for HSC activation, and illustrates the utility of hi-scMet in dissecting metabolic heterogeneity of immunophenotypically defined cell populations.

源语言英语
页(从-至)209-221.e6
期刊Cell Metabolism
卷36
期1
DOI
出版状态已出版 - 2 1月 2024

学术指纹

探究 'Deciphering the metabolic heterogeneity of hematopoietic stem cells with single-cell resolution' 的科研主题。它们共同构成独一无二的学术指纹。

引用此