Transcriptomics

Dataset Information

0

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


ABSTRACT: 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.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE210032 | GEO | 2022/08/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA863480 | ENA
2010-12-31 | E-GEOD-22939 | biostudies-arrayexpress
2010-12-31 | GSE22939 | GEO
2023-06-15 | MSV000092178 | GNPS
2020-04-22 | PXD014236 | Pride
2019-03-13 | PXD012867 | Pride
2011-07-19 | E-GEOD-29887 | biostudies-arrayexpress
2024-06-05 | PXD052786 | Pride
2022-12-10 | GSE162922 | GEO
2022-12-10 | GSE162921 | GEO