Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell types.

ABSTRACT:

Background

It is a long established fact that sex is an important factor that influences the transcriptional regulatory processes of an organism. However, understanding sex-based differences in gene expression has been limited because existing studies typically sequence and analyze bulk tissue from female or male individuals. Such analyses average cell-specific gene expression levels where cell-to-cell variation can easily be concealed. We therefore sought to utilize data generated by the rapidly developing single cell RNA sequencing (scRNA-seq) technology to explore sex dimorphism and its functional consequences at the single cell level.

Methods

Our study included scRNA-seq data of ten well-defined cell types from the brain and heart of female and male young adult mice in t

SUBMITTER: Lu T 

PROVIDER: S-EPMC7643324 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature