← Search

Excel · study · 2026

Multi-omics analysis of aging liver in female nonhuman primates.

Listed in NCBI GEO

The goal of this study was to identify molecular changes associated with healthy aging in the livers of female baboons (n=35) by integrating multiple omics data types (transcriptomics, proteomics, metabolomics) from samples across the adult age span.

Description

To integrate omics data, we performed unbiased weighted gene co-expression network analysis (WGCNA), and the results revealed 3 modules containing 3,149 genes and 33 proteins were positively correlated with age, and 2 modules containing 37 genes and 216 proteins were negatively correlated with age.

Pathway enrichment analysis showed that unfolded protein response and endoplasmic reticulum stress were positively associated with age, whereas xenobiotic metabolism and melatonin and serotonin degradation pathways were negatively associated with age.

Links

Where it is published

Documentation and papers

Topics

From keywords
Life Sciences
Inferred from text
Mass spectrometry 65%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE24309215 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:mass-spectrometryenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title