Genome biologyMolecular BiologyPeer-reviewed journal article
Nanopore sequencing reveals endogenous NMD-targeted isoforms in human cells
Evangelos D. KarousisiD, Foivos GypasiD, Mihaela ZavolaniD, Oliver MühlemanniD
Abstract
BackgroundNonsense-mediated mRNA decay (NMD) is a eukaryotic, translation-dependent degradation pathway that targets mRNAs with premature termination codons and also regulates the expression of some mRNAs that encode full-length proteins. Although many genes express NMD-sensitive transcripts, identifying them based on short-read sequencing data remains a challenge. ResultsTo identify and analyze endogenous targets of NMD, we applied cDNA Nanopore sequencing and short-read sequencing to human cells with varying expression levels of NMD factors. Our approach detects full-length NMD substrates that are highly unstable and increase in levels or even only appear when NMD is inhibited. Among the many new NMD-targeted isoforms that our analysis identified, most derive from alternative exon usage. The isoform-aware analysis revealed many genes with significant changes in splicing but no significant changes in overall expression levels upon NMD knockdown. NMD-sensitive mRNAs have more exons in the 3'UTR and, for those mRNAs with a termination codon in the last exon, the length of the 3'UTR per se does not correlate with NMD sensitivity. Analysis of splicing signals reveals isoforms where NMD has been co-opted in the regulation of gene expression, though the main function of NMD seems to be ridding the transcriptome of isoforms resulting from spurious splicing events. ConclusionsLong-read sequencing enabled the identification of many novel NMD-sensitive mRNAs and revealed both known and unexpected features concerning their biogenesis and their biological role. Our data provide a highly valuable resource of human NMD transcript targets for future genomic and transcriptomic applications.
- organism: human
- assay: long-read sequencing
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: database / resource
- approach: experimental assay
- Citations
- 62
- FWCI
- 2.98
- Field percentile
- top 6%
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