4.4 Article

Genome-wide profiling of the C. elegans dsRNAome

期刊

RNA
卷 21, 期 5, 页码 786-800

出版社

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1261/rna.048801.114

关键词

dsRNA; RNA editing; long introns; 3' UTR; hyperediting

资金

  1. National Institutes of Health (NIH) (National Institute on Aging) [8DP1AG044162]
  2. National Institutes of Health (NIH) (National Institute of General Medical Sciences) [GM044073]
  3. National Human Genome Research Institute [HG005692]
  4. NIH Ruth L. Kirschstein NRSA award (NIGMS) [F32GM106539]
  5. National Cancer Institute (NCI) Cancer Center Support Grant [5P30CA042014]

向作者/读者索取更多资源

Recent studies hint that endogenous dsRNA plays an unexpected role in cellular signaling. However, a complete understanding of endogenous dsRNA signaling is hindered by an incomplete annotation of dsRNA-producing genes. To identify dsRNAs expressed in Caenorhabditis elegans, we developed a bioinformatics pipeline that identifies dsRNA by detecting clustered RNA editing sites, which are strictly limited to long dsRNA substrates of Adenosine Deaminases that act on RNA (ADAR). We compared two alignment algorithms for mapping both unique and repetitive reads and detected as many as 664 editing-enriched regions (EERs) indicative of dsRNA loci. EERs are visually enriched on the distal arms of autosomes and are predicted to possess strong internal secondary structures as well as sequence complementarity with other EERs, indicative of both intramolecular and intermolecular duplexes. Most EERs were associated with protein-coding genes, with similar to 1.7% of all C. elegans mRNAs containing an EER, located primarily in very long introns and in annotated, as well as unannotated, 3' UTRs. In addition to numerous EERs associated with coding genes, we identified a population of prospective noncoding EERs that were distant from protein-coding genes and that had little or no coding potential. Finally, subsets of EERs are differentially expressed during development as well as during starvation and infection with bacterial or fungal pathogens. By combining RNA-seq with freely available bioinformatics tools, our workflow provides an easily accessible approach for the identification of dsRNAs, and more importantly, a catalog of the C. elegans dsRNAome.

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