GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE335nnn/GSE335657/primary200OKTranscriptomicsSaccharomyces paradoxusExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE335657GEOGSEfalseComparative analysis of single-cell gene expression across the SaccharomycetaceaGene expression noise is a fundamental driver of phenotypic variation, yet its evolutionary dynamics across species remain poorly understood. 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.2026/06/24GSE335657GSM9817193GSM981719233369335657Saccharomyces paradoxus