High-throughput identification of RNA localization elements in neuronal cells. Issue 18 (15th September 2022)

• Record Type: Journal Article
• Authors: Arora, Ankita; Castro-Gutierrez, Roberto; Moffatt, Charlie; Eletto, Davide; Becker, Raquel; Brown, Maya; Moor, Andreas E; Russ, Holger A; Taliaferro, J Matthew
• Is Part Of: Nucleic acids research. Volume 50:Issue 18(2022)
• Page Start: 10626
• Page End: 10642
• Publication Date: 2022-09-15
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkac763
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Hundreds of RNAs are enriched in the projections of neuronal cells. For the vast majority of them, though, the sequence elements that regulate their localization are unknown. To identify RNA elements capable of directing transcripts to neurites, we deployed a massively parallel reporter assay that tested the localization regulatory ability of thousands of sequence fragments drawn from endogenous mouse 3′ UTRs. We identified peaks of regulatory activity within several 3′ UTRs and found that sequences derived from these peaks were both necessary and sufficient for RNA localization to neurites in mouse and human neuronal cells. The localization elements were enriched in adenosine and guanosine residues. They were at least tens to hundreds of nucleotides long as shortening of two identified elements led to significantly reduced activity. Using RNA affinity purification and mass spectrometry, we found that the RNA-binding protein Unk was associated with the localization elements. Depletion of Unk in cells reduced the ability of the elements to drive RNAs to neurites, indicating a functional requirement for Unk in their trafficking. These results provide a framework for the unbiased, high-throughput identification of RNA elements and mechanisms that govern transcript localization in neurons.