Type-I Interferon drives T-cell responses to amyloid-beta in the central nervous system
Abstract
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.
Fields of Study & Subjects
Alzheimer's disease research and treatments
Neuroinflammation and Neurodegeneration Mechanisms
Single-cell and spatial transcriptomics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN
- Document type
- Dataset