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

被引:24
|
作者
Cao, Jing [1 ,2 ,3 ,4 ]
Yao, Qi Jason [5 ]
Wu, Jiao [1 ,2 ,3 ,4 ]
Chen, Xiaonan [7 ]
Huang, Lin [1 ,2 ,3 ,4 ]
Liu, Wanshan [1 ,2 ,3 ,4 ]
Qian, Kun [1 ,2 ,3 ,4 ]
Wan, Jing-Jing [7 ]
Zhou, Bo O. [5 ,6 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Med Robot, Sch Biomed Engn, State Key Lab Syst Med Canc, Shanghai 200030, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Acad Expt Med, Shanghai 200030, Peoples R China
[3] Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Shanghai Key Lab Gynecol Oncol,Dept Obstet & Gyne, Shanghai 200127, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Med, Div Cardiol, Renji Hosp, Shanghai 200127, Peoples R China
[5] Univ Chinese Acad Sci, Chinese Acad Sci, Shanghai Inst Biochem & Cell Biol, Ctr Excellence Mol Cell Sci,State Key Lab Cell Bi, Shanghai 200031, Peoples R China
[6] Chinese Acad Med Sci & Peking Union Med Coll, Inst Hematol & Blood Dis Hosp, State Key Lab Expt Hematol, Haihe Lab Cell Ecosyst, Tianjin 300020, Peoples R China
[7] East China Normal Univ, Sch Chem & Mol Engn, Shanghai 200241, Peoples R China
关键词
MASS-SPECTROMETRY; LYMPHOID PROGENITORS; IDENTIFICATION; YEAST;
D O I
10.1016/j.cmet.2023.12.005
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
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 nanoparticleenhanced 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.
引用
收藏
页码:209 / 221.e6
页数:20
相关论文
共 50 条
  • [1] Deciphering Metabolic Heterogeneity by Single-Cell Analysis
    Evers, Tom M. J.
    Hochane, Mazene
    Tans, Sander J.
    Heeren, Ron M. A.
    Semrau, Stefan
    Nemes, Peter
    Mashaghi, Alireza
    ANALYTICAL CHEMISTRY, 2019, 91 (21) : 13314 - 13323
  • [2] Spatial metabolic heterogeneity of oligodendrogliomas at single-cell resolution
    Batchu, Sai
    Diaz, Michael Joseph
    Kleinberg, Giona
    Lucke-Wold, Brandon
    BRAIN TUMOR PATHOLOGY, 2023, 40 (02) : 101 - 108
  • [3] Spatial metabolic heterogeneity of oligodendrogliomas at single-cell resolution
    Sai Batchu
    Michael Joseph Diaz
    Giona Kleinberg
    Brandon Lucke-Wold
    Brain Tumor Pathology, 2023, 40 : 101 - 108
  • [4] METABOLIC PROFILING OF MOUSE HEMATOPOIETIC STEM CELL SELF-RENEWAL AT SINGLE-CELL RESOLUTION
    Tan, Aaron Tze Kai
    Hartmann, Felix
    Wilkinson, Adam
    Nakauchi, Hiromitsu
    Nolan, Garry
    EXPERIMENTAL HEMATOLOGY, 2022, 111 : S145 - S145
  • [5] MOLECULAR AND BIOLOGICAL ANALYSIS OF HUMAN HEMATOPOIETIC STEM CELLS AT SINGLE-CELL RESOLUTION
    Eaves, Connie
    Knapp, D. J. H. F.
    Hammond, C. A.
    Hui, A.
    van Loenhout, M.
    Pellacani, D.
    Wang, F.
    Miller, P. H.
    Lorzadeh, A.
    Aghaeepour, N.
    Moksa, M.
    Vaninsberghe, M.
    Rabu, G. M.
    Beer, P. A.
    Humphries, R. K.
    Bendall, S.
    Nolan, G. P.
    Hansen, C.
    Hirst, M.
    EXPERIMENTAL HEMATOLOGY, 2017, 53 : S24 - S24
  • [6] Unraveling Heterogeneity of Aged Hematopoietic Stem Cells By Single-Cell RNA Sequence Analysis
    Koide, Shuhei
    Oshima, Motohiko
    Nishiyama, Akira
    Murakami, Koichi
    Yamada, Yuta
    Itokawa, Naoki
    Nakajima-Takagi, Yaeko
    Zheng, Zhiqian
    Tomohiko, Tamura
    Iwama, Atsushi
    BLOOD, 2021, 138
  • [7] Deciphering endothelial heterogeneity in health and disease at single-cell resolution: progress and perspectives
    Becker, Lisa M.
    Chen, Shiau-Haln
    Rodor, Julie
    de Rooij, Laura P. M. H.
    Baker, Andrew H.
    Carmeliet, Peter
    CARDIOVASCULAR RESEARCH, 2023, 119 (01) : 6 - 27
  • [8] Deciphering Adult Neural Stem Cells with Single-Cell Sequencing
    Liu, Yi-Dan
    Zhu, Ying-Ting
    Shi, Yun-Hong
    Liu, Xiu-Xing
    Su, Wen-Ru
    Zhuo, Ye-Hong
    STEM CELLS AND DEVELOPMENT, 2023, 32 (9-10) : 213 - 224
  • [9] Transcriptional Heterogeneity in Naive and Primed Human Pluripotent Stem Cells at Single-Cell Resolution
    Messmer, Tobias
    von Meyenn, Ferdinand
    Savino, Aurora
    Santos, Fatima
    Mohammed, Hisham
    Lun, Aaron Tin Long
    Marioni, John C.
    Reik, Wolf
    CELL REPORTS, 2019, 26 (04): : 815 - +
  • [10] Deciphering the heterogeneity of myeloid cells during neuroinflammation in the single-cell era
    Borst, Katharina
    Prinz, Marco
    BRAIN PATHOLOGY, 2020, 30 (06) : 1192 - 1207