RNA sequencing and bioinformatics analysis of blood from patients with cortical cataract

This dataset contains raw and processed transcriptomic data derived from peripheral blood mononuclear cells (PBMCs) of patients with age-related cataract (ARC) and matched healthy control individuals. The study aimed to identify systemic gene expression signatures associated with ARC pathogenesis. A total of 6 participants were enrolled in this study, including 3 ARC patients and 3 age- and gender-matched healthy controls.Total RNA was extracted, and library construction was performed using the Illumina TruSeq Stranded mRNA LT Sample Prep Kit. Sequencing was carried out on the Illumina NovaSeq 6000]platform with a 150-bppaired-end strategy. Preliminary bioinformatic analysis revealed 311 increased DEGs and 268 decreased DEGs between ARC patients and refractive cataract patients (|log2FC| > 2and adjusted p-value < 0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of these DEGs highlighted significant alterations in several biological processes and pathways.This dataset provides a resource for understanding the potential role of systemic factors and immune responses in ARC development, and may facilitate the discovery of novel biomarkers for this common ocular disease.