Work

Transcriptomic and functional annotation datasets for GV1001 peptide treatment in an experimental autoimmune encephalomyelitis mouse model

Year: 2025

Type: data-paper

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.

Source: Data in Brief

DOI: 10.1016/j.dib.2025.112327

Authors: Jong-Heon Kim, Long Tai Zheng, Sangjae Kim, Kyoungho Suk

Institutions: Kyungpook National University, Soochow University

Language: English

Topic: Multiple Sclerosis Research Studies

Subfield: Pathology and Forensic Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,220