In this paper, we analyze and characterize the common astrocytes subpopulations shared in both ASD and MS using the large-scale single-cell RNA-seq expression data collected from postmortem brain samples of subjects diagnosed with ASD (PRJNA434002) and MS (PRJNA544731). Batch correction was implemented using Harmony to strengthen the unbiased analysis. Seurat and SC3 were used for the identification of common astrocyte clusters and their marker genes; DESeq2 for disease-specific differential expressed gene (DEG) analysis; Monocle and Enrichr for trajectory and ingenuity pathway analysis (IPA) of DEGs. Finally, GSEA was performed on IPSC bulk-RNA sequencing data to further characterize the common pro-inflammatory astrocytes subpopulations using secondary progressive stage transcriptional signatures of MS.