Single-Cell and Spatial Transcriptomic Analysis of Remyelination

This dataset contains single-nucleus and high-resolution spatial transcriptomic data generated using Slide-seqV2 to map cellular dynamics during remyelination following focal demyelinating injury in the mouse brain. The study characterized spatial gene expression profiles across multiple time points from demyelination through to repair, with a particular focus on glial and immune cell states. It discovered an interferon-responsive glial state, and also characterized this in human stem-cell derived glia using transcriptomics. This repository provides:

Aggregated and cropped spatial transcriptmics data of remyelinating white matter (Slide-seqv2 aligned using slide-seq tools): all_final_cropped_pucks_standardpipeline.qs

All non-neuronal single-nuclei from remyelinating white matter or control:     LPC_Nucseq_Merged_NoNeurons_postQC.rds

Subclustered analyses of cell types identified in the single-nucleus RNA sequencing data:     LPC_Nucseq_astrocyte_Final.rds, LPC_Nucseq_macrophage.rds,     LPC_Nucseq_microglia.rds, LPC_Nucseq_Oligos.rds and LPC_Nucseq_Opcs_final.rds

Stem-cell differenciated microglia (from the H1 cell line) either exposed to PBS or Interferon-beta:  iMGL_aggr_cellbender_IFNonly_FILTERED.rds

This dataset is described here: https://www.biorxiv.org/content/10.1101/2025.04.22.649486v1