Single-cell RNA-seq reveals early heterogeneity during aging in yeast

被引:9
|
作者
Wang, Jincheng [1 ]
Sang, Yuchen [1 ]
Jin, Shengxian [1 ]
Wang, Xuezheng [2 ,3 ,4 ]
Azad, Gajendra Kumar [5 ,6 ]
McCormick, Mark A. [7 ,8 ]
Kennedy, Brian K. [5 ,9 ,10 ]
Li, Qing [2 ,3 ]
Wang, Jianbin [11 ]
Zhang, Xiannian [12 ]
Zhang, Yi [1 ]
Huang, Yanyi [1 ,13 ,14 ]
机构
[1] Peking Univ, Biomed Pioneering Innovat Ctr BIOPIC, Peking Tsinghua Ctr Life Sci, Beijing Adv Innovat Ctr Genom ICG,Sch Life Sci, Beijing 100871, Peoples R China
[2] Peking Univ, Sch Life Sci, State Key Lab Prot & Plant Gene Res, Beijing, Peoples R China
[3] Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing, Peoples R China
[4] Peking Univ, Acad Adv Interdisciplinary Studies, Beijing, Peoples R China
[5] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Biochem, Singapore, Singapore
[6] Patna Univ, Dept Zool, Patna, Bihar, India
[7] Univ New Mexico, Sch Med, Dept Biochem & Mol Biol, Hlth Sci Ctr, Albuquerque, NM 87131 USA
[8] Autophagy Inflammat & Metab Ctr Biomed Res Excell, Albuquerque, NM USA
[9] Natl Univ Singapore, Yong Loo Lin Sch Med, Hlth Longev Programme, Singapore, Singapore
[10] Natl Univ Hlth Syst, Ctr Hlth Longev, Singapore, Singapore
[11] Tsinghua Univ, Beijing Adv Innovat Ctr Struct Biol, Sch Life Sci, Beijing, Peoples R China
[12] Capital Med Univ, Beijing Adv Innovat Ctr Human Brain Protect, Sch Basic Med Sci, Beijing 100069, Peoples R China
[13] Peking Univ, Coll Chem, Analyt Chem, Beijing, Peoples R China
[14] Shenzhen Bay Lab, Inst Cell Anal, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
early heterogeneity; iron transport; mitochondrial dysfunction; single cell RNA sequencing; yeast aging; GENE-EXPRESSION; IRON; INSTABILITY; RESPONSES; NOISE; LEADS;
D O I
10.1111/acel.13712
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The budding yeast Saccharomyces cerevisiae (S. cerevisiae) has relatively short lifespan and is genetically tractable, making it a widely used model organism in aging research. Here, we carried out a systematic and quantitative investigation of yeast aging with single-cell resolution through transcriptomic sequencing. We optimized a single-cell RNA sequencing (scRNA-seq) protocol to quantitatively study the whole transcriptome profiles of single yeast cells at different ages, finding increased cell-to-cell transcriptional variability during aging. The single-cell transcriptome analysis also highlighted key biological processes or cellular components, including oxidation-reduction process, oxidative stress response (OSR), translation, ribosome biogenesis and mitochondrion that underlie aging in yeast. We uncovered a molecular marker of FIT3, indicating the early heterogeneity during aging in yeast. We also analyzed the regulation of transcription factors and further characterized the distinctive temporal regulation of the OSR by YAP1 and proteasome activity by RPN4 during aging in yeast. Overall, our data profoundly reveal early heterogeneity during aging in yeast and shed light on the aging dynamics at the single cell level.
引用
收藏
页数:13
相关论文
共 50 条
  • [11] The contribution of cell cycle to heterogeneity in single-cell RNA-seq data
    Andrew McDavid
    Greg Finak
    Raphael Gottardo
    Nature Biotechnology, 2016, 34 : 591 - 593
  • [12] Single-cell RNA-seq reveals the heterogeneity of liver-resident immune cells in human
    Zhang, Z.
    Zhao, J.
    Liu, Y.
    Zhang, S.
    EUROPEAN JOURNAL OF IMMUNOLOGY, 2019, 49 : 1999 - 1999
  • [13] Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis
    Cochain, Clement
    Vafadarnejad, Ehsan
    Arampatzi, Panagiota
    Pelisek, Jaroslav
    Winkels, Holger
    Ley, Klaus
    Wolf, Dennis
    Saliba, Antoine-Emmanuel
    Zernecke, Alma
    CIRCULATION RESEARCH, 2018, 122 (12) : 1661 - 1674
  • [14] Single-cell RNA-seq analysis reveals compartment-specific heterogeneity and plasticity of microglia
    Zheng, Junying
    Ru, Wenjuan
    Adolacion, Jay R.
    Spurgat, Michael S.
    Liu, Xin
    Yuan, Subo
    Liang, Rommel X.
    Dong, Jianli
    Potter, Andrew S.
    Potter, S. Steven
    Chen, Ken
    Chen, Rui
    Varadarajan, Navin
    Tang, Shao-Jun
    ISCIENCE, 2021, 24 (03)
  • [15] Single-cell RNA-seq reveals the links between the metabolic heterogeneity and cell identity in NBM and AML
    Lu, Qiongyu
    Qu, Wenqiang
    Wen, Yuxin
    Ke, Peng
    Zhao, Luyao
    Wang, Qingyuan
    Chen, Suning
    Zeng, Zhao
    BRITISH JOURNAL OF HAEMATOLOGY, 2024, 204 (03) : 1100 - 1104
  • [16] Single-Cell RNA-Seq Reveals Dynamic Early Embryonic-like Programs during Chemical Reprogramming
    Zhao, Ting
    Fu, Yao
    Zhu, Jialiang
    Liu, Yifang
    Zhang, Qian
    Yi, Zexuan
    Chen, Shi
    Jiao, Zhonggang
    Xu, Xiaochan
    Xu, Junquan
    Duo, Shuguang
    Bai, Yun
    Tang, Chao
    Li, Cheng
    Deng, Hongkui
    CELL STEM CELL, 2018, 23 (01) : 31 - +
  • [17] A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast
    Jariani, Abbas
    Vermeersch, Lieselotte
    Cerulus, Bram
    Perez-Samper, Gemma
    Voordeckers, Karin
    Van Brussel, Thomas
    Thienpont, Bernard
    Lambrechts, Diether
    Verstrepen, Kevin J.
    ELIFE, 2020, 9 : 1 - 22
  • [18] Single-cell RNA-seq reveals distinct dynamic behavior of sex chromosomes during early human embryogenesis
    Zhou, Qing
    Wang, Taifu
    Leng, Lizhi
    Zheng, Wei
    Huang, Jinrong
    Fang, Fang
    Yang, Ling
    Chen, Fang
    Lin, Ge
    Wang, Wen-Jing
    Kristiansen, Karsten
    MOLECULAR REPRODUCTION AND DEVELOPMENT, 2019, 86 (07) : 871 - 882
  • [19] Dissecting the heterogeneity of metastatic neuroblastoma cells by single-cell RNA-seq
    Shan, Alice R.
    Gont, Alexander
    Kaplan, David R.
    Irwin, Meredith S.
    CANCER RESEARCH, 2020, 80 (14) : 116 - 116
  • [20] Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
    Patel, Anoop P.
    Tirosh, Itay
    Trombetta, John J.
    Shalek, Alex K.
    Gillespie, Shawn M.
    Wakimoto, Hiroaki
    Cahill, Daniel P.
    Nahed, Brian V.
    Curry, William T.
    Martuza, Robert L.
    Louis, David N.
    Rozenblatt-Rosen, Orit
    Suva, Mario L.
    Regev, Aviv
    Bernstein, Bradley E.
    SCIENCE, 2014, 344 (6190) : 1396 - 1401