NatureGenomicsPeer-reviewed journal article
High-resolution spatial multi-omics reveals cell-type specific nuclear compartments
Yodai TakeiiD, Yujing YangiD, Jonathan A. WhiteiD, Isabel Nadine GoronzyiD, Jina YuniD, Meera P. Prasad, Lincoln J. OmbeletsiD, Simone SchindleriD, Prashant BhatiD, Mitchell GuttmaniD, Long CaiiD
Abstract
The mammalian nucleus is compartmentalized by diverse subnuclear structures. These subnuclear structures, marked by nuclear bodies and histone modifications, are often cell-type specific and affect gene regulation and 3D genome organization1-3. Understanding nuclear organization requires identifying the molecular constituents of subnuclear structures and mapping their associations with specific genomic loci in individual cells, within complex tissues. Here, we introduce two-layer DNA seqFISH+, which allows simultaneous mapping of 100,049 genomic loci, together with nascent transcriptome for 17,856 genes and a diverse set of immunofluorescently labeled subnuclear structures all in single cells in cell lines and adult mouse cerebellum. Using these multi-omics datasets, we showed that repressive chromatin compartments are more variable by cell type than active compartments. We also discovered a single exception to this rule: an RNA polymerase II (RNAPII)-enriched compartment was associated with long, cell-type specific genes (> 200kb), in a manner distinct from nuclear speckles. Further, our analysis revealed that cell-type specific facultative and constitutive heterochromatin compartments marked by H3K27me3 and H4K20me3 are enriched at specific genes and gene clusters, respectively, and shape radial chromosomal positioning and inter-chromosomal interactions in neurons and glial cells. Together, our results provide a single-cell high-resolution multi-omics view of subnuclear compartments, associated genomic loci, and their impacts on gene regulation, directly within complex tissues.
- organism: mouse
- assay: spatial transcriptomics
- assay: DNA methylation
- assay: ChIP-seq
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: spatial domain detection
- approach: experimental assay
- Citations
- 92
- FWCI
- 22.25
- Field percentile
- top 1%
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