eLifeMolecular BiologyPeer-reviewed journal article
RNA localization mechanisms transcend cell morphology
Raeann GoeringiD, Ankita AroraiD, Megan C PockalnyiD, J. Matthew TaliaferroiD
Abstract
RNA molecules are localized to specific subcellular regions through interactions between RNA regulatory elements and RNA binding proteins (RBPs). Generally, our knowledge of the mechanistic details behind the localization of a given RNA is restricted to a particular cell type. Here, we show that RNA/RBP interactions that regulate RNA localization in one cell type predictably regulate localization in other cell types with vastly different morphologies. To determine transcriptome-wide RNA spatial distributions across the apicobasal axis of human intestinal epithelial cells, we used our recently developed RNA proximity labeling technique, Halo-seq. We found that mRNAs encoding ribosomal proteins (RP mRNAs) were strongly localized to the basal pole of these cells. Using reporter transcripts and single molecule RNA FISH, we found that pyrimidine-rich TOP motifs in the 5' UTRs of RP mRNAs were su[ffi]cient to drive basal RNA localization. Interestingly, the same TOP motifs were also su[ffi]cient to drive RNA localization to the neurites of mouse neuronal cells. In both cell types, the regulatory activity of the TOP motif was dependent on it being at the extreme 5' end of the transcript, was abolished upon perturbation of the TOP-binding protein LARP1, and was reduced upon inhibition of kinesins. To extend these findings, we compared subcellular RNAseq data from neuronal and epithelial cells. We found that the basal compartment of epithelial cells and the projections of neuronal cells were enriched for highly similar sets of RNAs, indicating that broadly similar mechanisms may be transporting RNAs in both cell types. These findings identify the first RNA element known to regulate RNA localization across the apicobasal axis of epithelial cells, establish LARP1 as an RNA localization regulator, and demonstrate that RNA localization mechanisms cut across cell morphologies.
- organism: human
- organism: mouse
- assay: bulk RNA-seq
- assay: spatial transcriptomics
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- Citations
- 53
- FWCI
- 4.35
- Field percentile
- top 4%
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