| RRC ID |
84310
|
| Author |
Takasugi M, Nonaka Y, Takemura K, Yoshida Y, Stein F, Schwarz JJ, Adachi J, Satoh J, Ito S, Tombline G, Biashad SA, Seluanov A, Gorbunova V, Ohtani N.
|
| Title |
An atlas of the aging mouse proteome reveals the features of age-related post-transcriptional dysregulation.
|
| Journal |
Nat Commun
|
| Abstract |
To what extent and how post-transcriptional dysregulation affects aging proteome remains unclear. Here, we provide proteomic data of whole-tissue lysates (WTL) and low-solubility protein-enriched fractions (LSF) of major tissues collected from mice of 6, 15, 24, and 30 months of age. Low-solubility proteins are preferentially affected by age and the analysis of LSF doubles the number of proteins identified to be differentially expressed with age. Simultaneous analysis of proteome and transcriptome using the same tissue homogenates reveals the features of age-related post-transcriptional dysregulation. Post-transcriptional dysregulation becomes evident especially after 24 months of age and age-related post-transcriptional dysregulation leads to accumulation of core matrisome proteins and reduction of mitochondrial membrane proteins in multiple tissues. Based on our in-depth proteomic data and sample-matched transcriptome data of adult, middle-aged, old, and geriatric mice, we construct the Mouse aging proteomic atlas ( https://aging-proteomics.info/ ), which provides a thorough and integrative view of age-related gene expression changes.
|
| Volume |
15(1)
|
| Pages |
8520
|
| Published |
2024-10-2
|
| DOI |
10.1038/s41467-024-52845-x
|
| PII |
10.1038/s41467-024-52845-x
|
| PMID |
39353907
|
| PMC |
PMC11445428
|
| MeSH |
Aging* / genetics
Aging* / metabolism
Animals
Gene Expression Regulation
Male
Mice
Mice, Inbred C57BL
Proteome* / metabolism
Proteomics* / methods
Transcriptome*
|
| IF |
12.121
|
| Resource |
| Aged mice |
加齢マウス |
