SUMMARY 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 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.
Pengfei Guo, Yan Cui, Jin-Can He et al.· Cell· 0 citations
Biomni envisions artificial intelligence augmenting human scientists and accelerating discovery by interpreting multi-modal datasets, optimizing protein stability, orchestrating wet-lab instruments, and generating experimentally testable protocols.
Kexin Huang, Serena Zhang, Hanchen Wang et al.· Science· 19 citations· ⚡2