Inferring single-cell and spatial microRNA activity from transcriptomics data

Abstract

The activity of miRNA varies across different cell populations and systems, as part of the mechanisms that distinguish cell types and roles in living organisms and in human health and disease. Typically, miRNA regulation drives changes in the composition and levels of protein coding RNA and of lncRNA, with targets being down-regulated when miRNAs are active. The term "miRNA activity" is used to refer to this transcriptional effect of miRNAs. This study introduces miTEA-HiRes, a method designed to facilitate the evaluation of miRNA activity at high resolution. The method applies to single cell transcriptomics, type-specific single cell populations, and spatial transcriptomics data. By comparing different conditions, differential miRNA activity is inferred. For instance, miTEA-HiRes analysis of PBMCs comparing MS patients to control groups revealed differential activity of miR-20a-5p and others, consistent with literature on miRNA underexpression in MS. We also show miR-519a-3p differential activity in specific cell populations.