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| Status |
Public on Apr 17, 2024 |
| Title |
Auto-sumoylation of the Ubc9 E2 SUMO-conjugating Enzyme Extends Cellular Lifespan (RNA-Seq) |
| Organism |
Saccharomyces cerevisiae |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Yeast has proven to be a useful model system for aging studies, including CR effects. We report here that yeast adapted through in vitro evolution to the severe cellular stress caused by loss of the Ulp2 SUMO-specific protease exhibit both enhanced growth rates and replicative lifespan, and they have altered gene expression profiles similar to those observed in CR. Notably, in certain evolved ulp2Δ lines, a dramatic increase in the auto-sumoylation of Ubc9 E2 SUMO-conjugating enzyme results in altered regulation of multiple targets involved in energy metabolism and translation at both transcriptional and post-translational levels. This increase is essential for the survival of aged cells and CR-mediated lifespan extension
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| Overall design |
RNA-seq of WT, ulp2D and evolved ulp2D S.cerevisiae strains
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| Contributor(s) |
Ryu H, Hochstrasser M, Zhao D |
| Citation(s) |
38562857 |
| Submission date |
Feb 02, 2024 |
| Last update date |
Apr 17, 2024 |
| Contact name |
Hong-Yeoul Ryu |
| E-mail(s) |
lme75514757@gmail.com
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| Organization name |
Kyungpook National University
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| Department |
Biotechnology
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| Lab |
Lab of Molecular Epigenetics
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| Street address |
Daehak-ro 80
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| City |
Daegu |
| State/province |
Buk-Gu |
| ZIP/Postal code |
41566 |
| Country |
South Korea |
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| Platforms (1) |
| GPL17342 |
Illumina HiSeq 2500 (Saccharomyces cerevisiae) |
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| Samples (12)
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| Relations |
| BioProject |
PRJNA1072738 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE254981_gene_count_matrix.csv.gz |
188.6 Kb |
(ftp)(http) |
CSV |
| GSE254981_ulp2D500G.6_vs_WT_4715SignGenes.xlsx |
972.0 Kb |
(ftp)(http) |
XLSX |
| GSE254981_ulp2D500G.9_vs_WT_4277SignGenes.xlsx |
969.0 Kb |
(ftp)(http) |
XLSX |
| GSE254981_ulp2D_vs_WT_4666SignGenes.xlsx |
973.1 Kb |
(ftp)(http) |
XLSX |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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