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Omics · study · 2026

An integrative approach for the genetic analysis of complex traits: combining mutant phenotype and gene expression data identified novel genes impacting yeast replicative lifespan

Listed in NCBI GEO

To examine the structure of the network, we connected the upstream peripheral genes with our validated master regulators based on our computational analysis and connected the master regulators to their downstream core genes by generating additional gene expression data with the master regulator perturbed.

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Consistent with the model we proposed, we found that many of the peripheral genes are linked to one or more master regulators, and many of the master regulators are correlated with several peripheral genes.

Furthermore, the master regulators are linked to sets of core genes with strong overlap, covering a broad spectrum of mechanisms known to be important for aging. Our study provides support for the existence of the three-layered structure of the gene regulatory networks underlying complex traits and suggests practical approaches to identify the master regulators.

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Life Sciences
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Genome structure and regulation 79%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30549115 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].anzsrc:field:310508enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (79%)
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[organism].NCBITaxon:4932source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
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