ArticleData in brief2026
Transcriptomic and functional annotation datasets for GV1001 peptide treatment in an experimental autoimmune encephalomyelitis mouse model.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This dataset presents transcriptomic and functional annotation data derived from spinal cord tissues of mice with experimental autoimmune encephalomyelitis (EAE) treated with GV1001, a telomerase-derived peptide. Bulk RNA sequencing was performed to identify differentially expressed genes (DEGs) between GV1001-treated and vehicle-treated groups. The resulting DEGs were subjected to Gene Ontology Biological Process (GOBP) and KEGG pathway enrichment analyses, and further annotated by cell type using reference single-cell transcriptomic datasets. A subset of microglia-specific DEGs was extracted and analyzed to highlight GV1001 impact on innate immune regulation and neurorepair mechanisms. The dataset includes six tables detailing DEG lists, functional enrichment results, cell-type mapping, and microglial gene modulation. These data are valuable for researchers investigating neuroinflammation, glial cell biology, and peptide-based therapeutics, and can be reused for comparative analyses or hypothesis generation in central nervous system (CNS) disease models.
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