Accurate sample deconvolution of pooled snRNA-seq using sex-dependent gene expression patterns.

ABSTRACT: Single-nucleus RNA sequencing (snRNA-seq) technology offers unprecedented resolution for studying cell type-specific gene expression patterns. However, snRNA-seq poses high costs and technical limitations, often requiring the pooling of independent biological samples and the loss of individual sample-level data. Deconvolution of sample identity using inherent features would enable the incorporation of pooled barcoding and sequencing protocols, thereby increasing data throughput and analytical sample size without requiring increases in experimental sample size and sequencing costs. In this study, we demonstrate a proof of concept that sex-dependent gene expression patterns can be leveraged for the deconvolution of pooled snRNA-seq data. Using previously published snRNA-seq data from the rat

SUBMITTER: Twa GM 

PROVIDER: S-EPMC12639244 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature