GEO series
Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions [snRNA-seq]
GSE279180
Homo sapiens
Expression profiling by high throughput sequencing
16 samples
2024/10/21
GPL24676
Summary
We generated a paired snRNA-seq (n= 15) and spatial transcriptomics (n=19) dataset from subcortical chronic active and chronic inactive MS lesions, identifying spatial niches and key cell interactions driving inflammation and disease progression at the lesion rim. This repository offers access to all the trancriptomics data that was used in the paper. It includes, all FASTQ files for both transcriptomics, along with the necessary files for running spatial transcriptomic samples (H&E images and JSON files), as well as the curated atlas, all derived cell subtype atlases from the main atlas and all curated ST slides.
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NCBI GEO page ↗
Paper (PMID 39501036) ↗
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