Astrocytes possess different morphological characteristics depending on the cerebral region in which they are found. However, none of the current astrocytic markers can label all subpopulations successfully. Thus, identifying the appropriate marker for a specific scientific investigation is critical. Here, we compared the distribution and protein expression of three astrocyte markers: NDRG2, GFAP, and S100β, in the cortex, hippocampus, and thalamus. NDRG2- and S100β-positive astrocytes were distributed more uniformly than GFAP-positive astrocytes throughout the whole cerebrum. NDRG2 and S100βimmunoreactivities were the strongest in the dorsal cortex and thalamus, while GFAP immunoreactivity was the strongest in the hippocampus. Moreover, protein expression levels of NDRG2, GFAP, and S100βin adult mice were the highest in the cortex, hippocampus, and thalamus, respectively. We also detected astrocyte morphology and found that, in the corpus callosum and cerebral peduncle, GFAP-positive astrocytes were found with more numerous and longer processes than NDRG2- and S100β-positive astrocytes. These results demonstrate that NDRG2 and S100βare more suitably used to visualize the overall distribution and changes in the number of astrocytes, as well as label astrocytes in the cortex and thalamus. GFAP, however, is more appropriately used to label astrocytes in the corpus callosum, cerebral peduncle, and the hippocampus. These results help to guide researchers in the choice of appropriate astrocyte marker and suggest differences in immunological qualities of astrocytes based on the tissue in which they are found.

Hypertrophic scar (HTS) is a prevalent chronic inflammatory skin disorder characterized by abnormal proliferation and extracellular matrix deposition and the precise mechanisms underlying HTS remain elusive. This study aimed to identify and validate potential immune-related genes associated with hypertrophic scar formation. Skin samples from normal (n = 12) and hypertrophic scar tissues (n = 12) were subjected to RNA-seq analysis. Differentially expressed genes (DEGs) and significant modular genes in Weighted gene Co-expression Network Analysis (WGCNA) were identified. Subsequently, functional enrichment analysis was performed on the intersecting genes. Additionally, eight immune-related genes were matched from the ImmPort database. Validation of NRG1 and CRLF1 was carried out using an external cohort (GSE136906). Furthermore, the association between these two genes and immune cells was assessed by Spearman correlation analysis. Finally, RNA was extracted from normal and hypertrophic scar samples, and RT-qPCR, Immunohistochemistry staining and Western Blot were employed to validate the expression of characteristic genes. A total of 940 DEGs were identified between HTS and normal samples, and 288 key module genes were uncovered via WGCNA. Enrichment analysis in key module revealed involvement in many immune-related pathway, such as Th17 cell differentiation, antigen processing and presentation and B cell receptor signaling pathway. The eight immune-related genes (IFI30, NR2F2, NRG1, ESM1, NFATC2, CRLF1, COLEC12 and IL6) were identified by matching from the ImmPort database. Notably, we observed that activated mast cell positively correlated with CRLF1 expression, while CD8 T cells exhibited a positive correlation with NRG1. The expression of NRG1 and CRLF1 was further validated in clinical samples. In this study, two key immune-related genes (CRLF1 and NRG1) were identified as characteristic genes associated with HTS. These findings provide valuable insights into the immune-related mechanisms underlying hypertrophic scar formation.