Transcriptome organization of white blood cells through gene co-expression network analysis in a large RNA-seq dataset.

ABSTRACT: Gene co-expression network analysis enables identification of biologically meaningful clusters of co-regulated genes (modules) in an unsupervised manner. We present here the largest study conducted thus far of co-expression networks in white blood cells (WBC) based on RNA-seq data from 624 individuals. We identify 41 modules, 13 of them related to specific immune-related functions and cell types (e.g. neutrophils, B and T cells, NK cells, and plasmacytoid dendritic cells); we highlight biologically relevant lncRNAs for each annotated module of co-expressed genes. We further characterize with unprecedented resolution the modules in T cell sub-types, through the availability of 95 immune phenotypes obtained by flow cytometry in the same individuals. This study provides novel insights into th

SUBMITTER: Forabosco P 

PROVIDER: S-EPMC11018966 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature