<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE300nnn/GSE300113/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE300113</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Heterogenous microglial reactivity contrasts with stable vascular transcriptional programs in mouse models of Alzheimer’s, CADASIL, and Traumatic Brain Injury (Main dataset)</name><description>The extent to which the cerebrovasculature is affected in various brain disorders is still not well understood. To address this, we established a transcriptomic repository of major vascular cell types and microglia to compare the transcriptomic response in mouse models of three human brain disorders linked to neuroinflammation and associated vascular reactivity: Alzheimer’s disease (AD), traumatic brain injury (TBI), and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Single-cell analysis of >250,000 cells at different disease stages led to identification of two previously unknown vascular cell subtypes, expanded the endothelial zonation spectrum and allowed for a detailed analysis of the molecular responses in the vascular cells and microglia. Surprisingly, all vascular cell types remained transcriptomically normal across the three conditions, while microglia exhibited significant, disease-specific transcriptional changes. Notably, microglial responses converged between late-stage TBI and AD, offering new insights into the predisposition for neurodegeneration following TBI.</description><dates><publication>2026/04/30</publication></dates><accession>GSE300113</accession><cross_references><GSM>GSM9053874</GSM><GSM>GSM9053873</GSM><GSM>GSM9053872</GSM><GSM>GSM9053871</GSM><GSM>GSM9053870</GSM><GSM>GSM9053904</GSM><GSM>GSM9053903</GSM><GSM>GSM9053869</GSM><GSM>GSM9053902</GSM><GSM>GSM9053901</GSM><GSM>GSM9053868</GSM><GSM>GSM9053900</GSM><GSM>GSM9053867</GSM><GSM>GSM9053866</GSM><GSM>GSM9053865</GSM><GSM>GSM9053864</GSM><GSM>GSM9053909</GSM><GSM>GSM9053908</GSM><GSM>GSM9053907</GSM><GSM>GSM9053906</GSM><GSM>GSM9053905</GSM><GSM>GSM9053863</GSM><GSM>GSM9053862</GSM><GSM>GSM9053861</GSM><GSM>GSM9053860</GSM><GSM>GSM9053859</GSM><GSM>GSM9053858</GSM><GSM>GSM9053857</GSM><GSM>GSM9053856</GSM><GSM>GSM9053855</GSM><GSM>GSM9053899</GSM><GSM>GSM9053854</GSM><GSM>GSM9053898</GSM><GSM>GSM9053897</GSM><GSM>GSM9053853</GSM><GSM>GSM9053852</GSM><GSM>GSM9053896</GSM><GSM>GSM9053851</GSM><GSM>GSM9053895</GSM><GSM>GSM9053894</GSM><GSM>GSM9053893</GSM><GSM>GSM9053892</GSM><GSM>GSM9053891</GSM><GSM>GSM9053890</GSM><GSM>GSM9053889</GSM><GSM>GSM9053888</GSM><GSM>GSM9053887</GSM><GSM>GSM9053886</GSM><GSM>GSM9053885</GSM><GSM>GSM9053884</GSM><GSM>GSM9053883</GSM><GSM>GSM9053882</GSM><GSM>GSM9053881</GSM><GSM>GSM9053880</GSM><GSM>GSM9053879</GSM><GSM>GSM9053878</GSM><GSM>GSM9053877</GSM><GSM>GSM9053876</GSM><GSM>GSM9053875</GSM><GPL>30172</GPL><GSE>300113</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>