{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE325nnn/GSE325911/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Other"],"species":[" Mus musculus","Homo sapiens"],"gds_type":["Other"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE325911"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Type-I Interferon drives T-cell responses to amyloid-beta in the central nervous system","description":"This repository contains raw and processed targeted spatial transcriptomics data generated from cerebral cortex sections of APP23^het transgenic and wild-type mice at 13 and 24 months of age, as well as human Alzheimer’s disease cortical tissue. Spatial profiling was performed using the Molecular Cartography™ platform (Resolve Biosciences), an imaging-based highly multiplexed single-molecule fluorescence in situ hybridization (smFISH) technology. The dataset includes raw transcript coordinate files, as well as cell segmentation outputs generated by the platform’s segmentation algorithm. Both segmentation-free (transcript-based) and segmentation-based spatial analyses were performed. These data were used to investigate age-dependent immune cell composition and spatial enrichment of T-cell phenotypes in amyloid plaque-associated regions, as described in the associated manuscript. Detailed experimental procedures, gene panels, preprocessing steps, normalization, clustering, and spatial analysis methods are provided in the Methods section of the publication.","dates":{"publication":"2026/04/01"},"accession":"GSE325911","cross_references":{"GSE":["325911"],"taxon":[" Mus musculus","Homo sapiens"]}}