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Seeing the Bigger Picture – Spatially Resolving Chromatin Modification Profiles with Spatial-CUT&Tag
August 9, 2022
Table of Contents:
Introduction: The Potential of Spatial Omics
Spatial omics describes the application of various technologies that overlay omics-derived data onto tissue images to identify molecular subpopulations of cells and provide information on the spatial localization of subpopulations within the tissue of origin and their relation to each other and microenvironmental components. As a prime example of the vast potential of spatial omics, the spatial integration of multiomics data promises to yield a more comprehensive understanding of the cell-to-cell variation within and between tumors and describe the interplay between individual cancer cells and the tumor microenvironment. Overall, such findings will support the development of safer and more effective anti-cancer therapeutics.
Taking Spatial Omics into the Epigenetic Realm
While we understand that cell-type-specific chromatin modification states control genome and cell function, integrating spatial epigenomics data from cells in the tissue of origin remains a challenge, even given recent advances in single-cell epigenetic profiling. In a considerable step forward in spatial epigenomics, a team headed by Rong Fan (Yale School of Medicine, CT, USA) recently combined microfluidic deterministic barcoding, cleavage under targets and tagmentation (CUT&Tag) chemistry, and next-generation sequencing to develop a technique that spatially resolves genome-wide chromatin modification profiles in an unbiased manner. Their innovative approach - spatial-CUT&Tag - may help us see the bigger picture of chromatin modification profiles and offer a new means of exploring epigenetic regulation, cell functions, and fate decisions under both physiological and pathogenic conditions.
Spatial-CUT&Tag - Step-by-Step
As reported recently in a paper by Deng and colleagues, spatial-CUT&Tag comprises eight straightforward steps (Figure 1 of the original study). Initial steps comprise 1) adding a histone modification-specific antibody to fixed tissue 2) and then adding a secondary antibody to enhance the tethering of a transposome, before 3) activating the transposome to insert adapters containing a ligation linker into genomic DNA at histone modification antibody recognition sites. These initial steps are followed by 4) flowing DNA barcodes over the tissue through microchannel-guided delivery to allow in situ ligation to adapters, followed by 5) a second set of barcodes over the same tissue through a microchannel perpendicular to the first barcoding step (barcodes ligated at intersections result in a two-dimensional grid of tissue pixels containing a distinct barcode combination). The final steps involve 6) tissue imaging to correlate morphology with spatial epigenomics, 7) collecting DNA fragments to complete library construction, and 8) performing next-generation sequencing.
Demonstrating the Potential of Spatial-CUT&Tag in Mouse Embryos
In this study, the authors assayed histone modifications associated with repressed loci (H3K27me3), activated promoters (H3K4me3), and activated enhancers and/or promoters (H3K27ac) employing highly-specific antibodies. Initially, they discovered that different spatial-CUT&Tag experiments in early mouse embryos displayed reproducibility (chromatin modification state pattern and peaks) with data agreeing with chromatin immunoprecipitation-sequencing (ChIP-seq) experiments. Mapping histone modification clusters to specific locations helped to detect spatially distinct patterns that agreed with tissue histology in adjacent tissue sections, suggesting that chromatin modification states can identify cell types in the mouse embryo. Indeed, the authors demonstrated that spatial-CUT&Tag could distinguish major cell types in early mouse embryos, while examining cell-type-specific marker gene expression (associating H3K27me3 with repressed genes and H3K4me3 and H3K27ac with active genes) proved the utility of spatial-CUT&Tag to detect spatial patterning during development. Correlating gene expression from single-cell RNA-sequencing (RNA-seq) and H3K27ac at candidate enhancers also successfully predicted experimentally validated enhancer-gene interactions.
Going into more detail, integrating single-cell RNA-seq with spatial-CUT&Tag further aided the identification of cell types in early mouse embryos, with spatial tissue pixels conforming with single-cell transcriptome clusters. For example, definitive erythroid lineage cells and cardiac muscle cells displayed enrichment in the liver and heart, respectively; meanwhile, high-resolution clustering also distinguished subpopulations of developing neurons with distinct spatial distributions and chromatin modification states. Indeed, spatial-CUT&Tag supported the examination of the developmental process ranging from radial glia to excitatory neurons through postmitotic premature neurons, while detecting changes in gene activity based on H3K4me3 during this process highlighted genes essential to neuron development. A subsequent combination of H3K27me3 spatial-CUT&Tag with immunofluorescence staining distinguished major cell types within the mouse olfactory bulb. Importantly, this nuclear staining also permitted the selection of areas containing a single nucleus or histone modification patterns, thereby supporting the extraction of single-cell epigenomic data without first dissociating tissue.
Finally, spatial-CUT&Tag analysis of the early mouse embryo brain provided evidence for distinct spatial patterns, especially when evaluating H3K27me3, in agreement with the organ-specific bulk ChIP-seq data. Analysis of H3K27me3 also supported the definition of distinct modification patterns, with pathway analysis of marker genes revealing that different clusters participated in forebrain development, anterior/posterior pattern specification, and heart morphogenesis. A similar study in post-natal mouse brains also revealed distinct spatial features. The comparisons of spatial patterns of marker genes with gene expression patterns from single-cell transcriptomics data suggested that H3K27me3 plays a vital role in maintaining the identities of specific brain regions at post-natal stages. The integration of spatial-CUT&Tag data with single-cell CUT&Tag and single-cell RNA-seq datasets also assisted the identification of other cell types and supported the prediction of the region in which a cell type in scRNA-seq or scCUT&Tag localizes.
Seeing the Bigger Picture with Spatial-CUT&Tag
Overall, spatial-CUT&Tag analysis can help us see the big picture by spatially resolving chromatin modification profiles in the mouse embryo to reveal tissue-type-specific epigenetic regulation and provide spatial information at the tissue scale. Furthermore, spatial-CUT&Tag describes the epigenetic control of neuronal development and spatial patterning of cell types determined by histone modifications in the mouse brain. Notably, spatial-CUT&Tag may also support the derivation of in-situ single-cell epigenome data by detecting areas containing only one nucleus via immunofluorescence.
The Future of Spatial-CUT&Tag
Moving forward, the authors note that the microfluidic in-tissue barcoding strategy employed in spatial-CUT&Tag could facilitate the integration of tissue mapping of histone modifications with transcriptome and various protein assays to further expand our knowledge. Furthermore, the authors highlight improvements to the microfluidics platform or increasing the number of barcodes as possible means to further expand the extent of spatial CUT&Tag-mediated mapping.
For more on how spatial-CUT&Tag can help us see the bigger picture regarding chromatin modification profiles, head over to Science, February 2022.
About the author
Stuart P. Atkinson, Ph.D.
Stuart was born and grew up in the idyllic town of Lanark (Scotland). He later studied biochemistry at the University of Strathclyde in Glasgow (Scotland) before gaining his Ph.D. in medical oncology; his thesis described the epigenetic regulation of the telomerase gene promoters in cancer cells. Following Post-doctoral stays in Newcastle (England) and Valencia (Spain) where his varied research aims included the exploration of epigenetics in embryonic and induced pluripotent stem cells, Stuart moved into project management and scientific writing/editing where his current interests include polymer chemistry, cancer research, regenerative medicine, and epigenetics. While not glued to his laptop, Stuart enjoys exploring the Spanish mountains and coastlines (and everywhere in between) and the food and drink that it provides!
Contact Stuart on Twitter with any questions
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