Subcellular mRNA localization patterns across tissues resolved with spatial transcriptomics.

Novoselsky, Roy; Golani, Ofra; Barkai, Tal; Kedmi, Merav; Goliand, Inna; Fine, Michal; Kent, Ilan; Nachmany, Ido et al. · Nat Commun · 2026

basic_science · Level V

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Abstract

Subcellular RNA localization, including nuclear retention and apical-basal compartmentalization in polarized epithelia plays a central role in post-transcriptional regulation. However, methods for high-throughput mapping of mRNA localization within intact tissue sections remain limited. Here, we apply high-resolution spatial transcriptomics to systematically resolve intracellular mRNA localization across diverse mammalian tissues. We introduce a computational approach that leverages image-derived features to extract subcellular information from spatial data and quantifies transcript localization patterns. Using this framework, we map apical-basal mRNA localization and nuclear retention in gastrointestinal epithelia and in liver hepatocytes. Our analyses reveal conserved and tissue-specific localization signatures. This approach broadens the scope of spatial transcriptomics by enabling routine investigation of intracellular RNA distributions in both healthy and diseased tissues.