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Omics · study · 2026

Comparative analysis of single-cell gene expression across the Saccharomycetacea

Listed in NCBI GEO

Gene expression noise is a fundamental driver of phenotypic variation, yet its evolutionary dynamics across species remain poorly understood.

Description

In this study, we used single-cell RNA sequencing to perform a comparative analysis of gene expression noise across multiple species of yeast. We quantified and compared single-cell transcriptional variability to identify conserved and divergent patterns of expression noise across these species.

Our analysis revealed distinct noise profiles among orthologous genes, highlighting how selection operates on transcriptional fluctuation rather than just mean expression levels.

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From keywords
Life Sciences
Inferred from text
RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE33565713 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:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
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