2026-10-15T05:52:32Z https://www.scidb.cn/oai

10.57760/sciencedb.30958 2026-03-30T11:39:18Z

2026-03-30 Integrated transcriptomic identification and validation reveal key autophagy-associated biomarkers in sleep deprivation doi:10.57760/sciencedb.30958 en This dataset contains the processed transcriptomic data and R implementation code for the study "Integrated transcriptomic identification and validation reveal key autophagy-associated biomarkers in sleep deprivation."The study integrated multiple GEO datasets (GSE33302 and GSE9442) and autophagy-related genes from GeneCards to identify sleep deprivation (SD)-linked biomarkers. Through machine learning algorithms (LASSO and SVM-RFE), three key predictor genes ($CDKN1A$, $HSPA5$, and $NR4A1$) were identified. The dataset includes:Processed Expression Matrices: Integrated and batch-corrected data from mouse models.R Scripts: Full pipeline for differential expression analysis, machine learning selection, ssGSEA immune infiltration, and GSEA.Validation Data: Experimental results from RT-qPCR validation in Sprague-Dawley rat brain tissues (prefrontal cortex and hippocampus) and single-cell RNA-seq localization analysis.These resources are provided to support the reproducibility of the diagnostic model and functional analysis described in the associated manuscript. sleep deprivation; insomnia; autophagy; single-cell sequencing; machine learning Lutong Gan PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank