Integrated transcriptomic identification and validation reveal key autophagy-associated biomarkers in sleep deprivation

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.

本数据集包含研究《整合转录组学鉴定与验证揭示睡眠剥夺中的关键自噬相关生物标志物》（Integrated transcriptomic identification and validation reveal key autophagy-associated biomarkers in sleep deprivation）的处理后转录组数据与R语言实现代码。该研究整合了GEO数据库中的GSE33302与GSE9442两套数据集，以及来自GeneCards数据库的自噬相关基因，以筛选与睡眠剥夺（sleep deprivation, SD）相关的生物标志物。通过LASSO与SVM-RFE两种机器学习算法，最终鉴定出3个关键预测基因：CDKN1A、HSPA5及NR4A1。本数据集包含以下内容：1. 处理后的表达矩阵：整合并经过批次校正的小鼠模型转录组数据；2. R脚本：涵盖差异表达分析、机器学习基因筛选、单样本基因集富集分析（ssGSEA, single-sample Gene Set Enrichment Analysis）免疫浸润分析以及基因集富集分析（GSEA, Gene Set Enrichment Analysis）的完整分析流程；3. 验证数据集：源自斯普拉格-道利（Sprague-Dawley）大鼠脑组织（前额叶皮层与海马体）的RT-qPCR验证实验结果，以及单细胞RNA测序（scRNA-seq, single-cell RNA sequencing）定位分析结果。本数据集提供的所有资源，均用于支撑相关论文中所述诊断模型与功能分析的可重复性研究。