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

ABSTRACT: 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.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE279771 | GEO | 2025/01/23

REPOSITORIES: GEO

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