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Single-cell RNA-seq reveals early heterogeneity during aging in yeast.
Wang, Jincheng; Sang, Yuchen; Jin, Shengxian; Wang, Xuezheng; Azad, Gajendra Kumar; McCormick, Mark A; Kennedy, Brian K; Li, Qing; Wang, Jianbin; Zhang, Xiannian; Zhang, Yi; Huang, Yanyi.
Afiliação
  • Wang J; Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.
  • Sang Y; Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.
  • Jin S; Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.
  • Wang X; State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
  • Azad GK; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
  • McCormick MA; Departments of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Kennedy BK; Department of Zoology, Patna University, Patna, India.
  • Li Q; Department of Biochemistry and Molecular Biology, School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
  • Wang J; Autophagy Inflammation and Metabolism Center of Biomedical Research Excellence, Albuquerque, New Mexico, USA.
  • Zhang X; Departments of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Zhang Y; Healthy Longevity Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Huang Y; Centre for Healthy Longevity, National University Health System, Singapore, Singapore.
Aging Cell ; 21(11): e13712, 2022 11.
Article em En | MEDLINE | ID: mdl-36181361
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Proteínas de Saccharomyces cerevisiae Tipo de estudo: Prognostic_studies Idioma: En Revista: Aging Cell Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Proteínas de Saccharomyces cerevisiae Tipo de estudo: Prognostic_studies Idioma: En Revista: Aging Cell Ano de publicação: 2022 Tipo de documento: Article