Nature Communications, Published online: 04 June 2026; doi:10.1038/s41467-026-73948-7 Obtaining matched spatial transcriptomic and epigenomic measurements from the same cell remains technically challenging. The authors develop a computational framework ISON to integrate widely available spatial transcriptomics data with sc-multiome profiles to infer spatial chromatin accessibility and gene regulatory networks.
Inference of spatial chromatin accessibility via integration of spatial transcriptomics and single-cell multi-omics data
Zhana Duren

