Analysis of RNA processing directly from spatial transcriptomics data reveals previously unknown regulation.

ABSTRACT: Technical advances have led to an explosion in the amount of biological data available in recent years, especially in the field of RNA sequencing. Specifically, spatial transcriptomics (ST) datasets, which allow each RNA molecule to be mapped to the 2D location it originated from within a tissue, have become readily available. Due to computational challenges, ST data has rarely been used to study RNA processing such as splicing or differential UTR usage. We apply the ReadZS and the SpliZ, methods developed to analyze RNA process in scRNA-seq data, to analyze spatial localization of RNA processing directly from ST data for the first time. Using Moran's I metric for spatial autocorrelation, we identify genes with spatially regulated RNA processing in the mouse brain and kidney, re-discoverin

SUBMITTER: Olivieri J 

PROVIDER: S-EPMC10054993 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature