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A unified molecular approach for spatial epigenome, transcriptome, and cell lineages

GSE279771 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 4 samples Submitted 2025/01/23 Platform GPL24247Platform GPL18573
Summary
Spatial epigenomics and multiomics can provide fine-grained insights into cell state but widespread adoption is limited by the requirement for bespoke slides and capture chemistries for each data modality. Here, we develop an approach (SPACE-seq) that uses a transposome with polyadenine adaptors to generate polyA-tailed epigenomic libraries, enabling facile spatial epigenomics and multiomics using standard whole transcriptome reagents. Application of SPACE-seq to a human glioblastoma specimen defines the spatial localization and accessible chromatin of distinct sub-populations within the tumor, and putative mitochondrial DNA variants.
Published in
Unified molecular approach for spatial epigenome, transcriptome, and cell lineages
Huang YH, Belk JA, Zhang R et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 40249782 · doi:10.1073/pnas.2424070122
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Direct links to NCBI, no account and no request form: the whole study as GSE279771_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1174228 and SRA study SRP539234. Searching any of these in the dataset finder brings you back here.

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