Functional annotation tables derived from RNA-Seq analysis of GV1001-treated experimental autoimmune encephalomyelitis mouse spinal cord

Published: 7 November 2025| Version 3 | DOI: 10.17632/pzs2gw9hhm.3
Contributors:
Jong-Heon Kim, Kyoungho Suk

Description

The dataset contains RNA-seq–based functional annotation tables from spinal cord tissues of GV1001-treated and vehicle-treated experimental autoimmune encephalomyelitis (EAE) mice: Table 1: Contains a full list of differentially expressed genes (DEGs) in spinal cords of GV1001-treated versus vehicle-treated EAE mice. Each gene entry includes fold change values, statistical significance metrics, and annotation fields. Table 2: Gene Ontology Biological Process (GOBP) enrichment results for the DEGs. DEGs upregulated and downregulated by GV1001 are analyzed separately. The top enriched terms indicate increased neuronal activity and decreased immune activation. Table 3: Cell-type mapping of GV1001-responsive genes. DEGs were matched with expression signatures from single-cell transcriptomic datasets to identify enriched CNS cell types (e.g., microglia, OPCs, astrocytes, neurons). Table 4: Focuses on microglial gene expression changes. Genes are ranked based on fold-change and scoring metrics derived from RNA-seq analysis. This table highlights microglial targets that may mediate therapeutic effects of GV1001. Table 5: GOBP terms enriched among GV1001-responsive microglial genes. Results show suppression of innate immune activation and enhancement of cellular differentiation, repair, and metabolic processes. Table 6: KEGG pathway enrichment for microglial genes altered by GV1001. Downregulated pathways include cytokine–cytokine receptor interaction, lysosome, and phagosome signaling; upregulated pathways include cell survival and metabolic modules.

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Institutions

  • Kyungpook National University

Categories

Autoimmunity, Neuroimmunology

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