ArticleCell2026
Integrative spatial profiling of 3D genome organization and gene expression in tissue.
Article in Cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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10 authors.
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Abstract
Three-dimensional genome organization shapes transcriptional regulation, yet measuring its spatial coordination in situ within intact tissues remains challenging. We present Spatial Hi-C-RNA, a multimodal platform that simultaneously maps genome-wide chromatin contacts and transcriptomes from the same tissue section at near-single-cell resolution. Across the mouse brain, developing embryos, and human melanoma, Spatial Hi-C-RNA generated multimodal maps that aligned with tissue anatomy while revealing complementary chromatin- and RNA-defined spatial patterns. Multiscale features, including A/B compartments, topologically associating domains, and chromatin loops, were associated with region- and cell-type-specific transcriptional programs. In mouse embryos, Spatial Hi-C-RNA resolved coordinated chromatin and transcriptional remodeling during neuronal maturation across developmental stages. In human melanoma, chromatin architecture delineated intratumoral subregions not detected by RNA alone and linked tumor-state transitions to changes in compartments, domain boundaries, and regulatory programs. Spatial Hi-C-RNA thus provides a broadly applicable framework for investigating genome structure-function relationships in development and disease within native tissue environments.
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