Transcriptomics

Dataset Information

0

Transcriptome-Wide Analysis of Human Liver Reveals Age-Related Differences in the Expression of Select Functional Gene Clusters and Evidence for a PPP1R10-Governed ‘Aging Cascade’.


ABSTRACT: A transcriptome-wide analysis of human liver for demonstrating differences between young and old humans has not yet been performed. However, pinpointing major age-related alterations in hepatic gene expression may identify ontogenetic shifts with important hepatic and systemic con-sequences, provide novel pharmacogenetic information, offer clues to efficiently counteract symptoms of old age, and improve the overarching understanding of ontogeny and individual decline. By applying next-generation sequencing and subsequent statistical and bioinformatic [Ensemble Feature Selection (EFS)] analysis, we identified 44 transcripts among 60,617 total and 19,986 protein-encoding transcripts that significantly (p = 0.0003 to 0.0464; EFS score >0.3: 16 transcripts; EFS score >0.2: 28 transcripts) differ between young and old livers. Genes encoding for 25 of these highly age-related transcripts were assigned to the categories ‘regulome’, ‘in-flammaging’, ‘regeneration’, and ‘pharmacogenes’, plus two genes that did not match these cate-gories. Our results have major implications in the area of ontogeny/aging and for the age-dependently increased occurrence of non-alcoholic fatty liver, steatohepatitis, and hepatocellular carcinoma. In addition, we present a broadly substantiated and testable hypothesis on a genetical-ly governed ‘aging cascade’, wherein the protein phosphatase 1 regulatory subunit 10 (PPP1R10) gene acts as a putative ontogenetic master regulator, which is prominently flanked by the genes for the insulin-like growth factor-binding protein acid labile subunit (IGFALS) and dual specificity phosphatase 1 (DUSP1). The results of this transcriptome-wide analysis of human liver offer potential clues towards developing better therapeutic interventions against major liver diseases and increased insight into key mechanisms underlying aging.

ORGANISM(S): Homo sapiens

PROVIDER: GSE183915 | GEO | 2021/11/30

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2021-06-24 | PXD024447 | Pride
2010-12-14 | GSE24616 | GEO
2010-12-14 | E-GEOD-24616 | biostudies-arrayexpress
2017-02-15 | E-MTAB-2782 | biostudies-arrayexpress
2023-02-22 | GSE216375 | GEO
2014-06-25 | E-GEOD-58754 | biostudies-arrayexpress
2016-07-17 | GSE49150 | GEO
2011-01-01 | GSE22945 | GEO
2018-06-04 | GSE112289 | GEO
2006-12-01 | GSE6323 | GEO