Transcriptomics

Dataset Information

0

RNA sequencing of mouse hepatic response to lifespan-extending interventions


ABSTRACT: This dataset consists of hepatic gene expression profiles of mice subjected to 8 different lifespan-extending interventions, together with the corresponding age-, sex- and strain-matched littermate controls: caloric restriction (CR), methionine restriction (MR), growth hormone receptor knockout (GHRKO), Snell dwarf mice (Pit1 -/-), rapamycin, acarbose, 17-alpha-estradiol (17aE2) and Protandim. Both sexes and different age groups are presented within dataset. Using this data, we identified general and specific gene expression patterns associated with lifespan extension. We detected a feminization effect associated with growth hormone regulation and diminution of sex-related differences in response to many interventions at transcriptome and metabolome levels. Combining the dataset with publicly available resources, we found that many interventions exhibited similar transcriptome changes, whereas some, including rapamycin, showed distinct patterns. We identified common hepatic signatures of lifespan extension, e.g. upregulation of oxidative phosphorylation and NRF2-regulated enzymes, and found that many perturbed pathways are shared across tissues. Moreover, the response of genes related to glucose metabolism and immune function represented both qualitative and quantitative associations with longevity. Finally, we used the detected longevity signatures to identify new candidates for lifespan extension and built GENtervention, a tool that visualizes associations of gene expression responses with lifespan extension.

ORGANISM(S): Mus musculus

PROVIDER: GSE131754 | GEO | 2019/07/25

REPOSITORIES: GEO

Similar Datasets

2019-07-25 | GSE131868 | GEO
2024-01-12 | PXD035293 | Pride
2014-07-16 | ST000090 | MetabolomicsWorkbench
2012-02-09 | E-GEOD-26267 | biostudies-arrayexpress
2018-08-27 | GSE117188 | GEO
2011-01-20 | E-GEOD-26726 | biostudies-arrayexpress
2017-11-20 | GSE106672 | GEO
2012-02-09 | GSE26267 | GEO
2017-10-25 | GSE106105 | GEO
2016-06-27 | E-GEOD-81959 | biostudies-arrayexpress