Integrative bioinformatics analysis characterizing the role of EDC3 in mRNA decay and its association to intellectual disability

BMC Med Genomics. 2018 Apr 23;11(1):41. doi: 10.1186/s12920-018-0358-6.

Abstract

Background: Decapping of mRNA is an important step in the regulation of mRNA turnover and therefore of gene expression, which is a key process controlling development and homeostasis of all organisms. It has been shown that EDC3 plays a role in mRNA decapping, however its function is not well understood. Previously, we have associated a homozygous variant in EDC3 with autosomal recessive intellectual disability. Here, we investigate the functional role of EDC3.

Methods: We performed transcriptome analyses in patients' samples. In addition, we established an EDC3 loss-of-function model using siRNA-based knockdown in the human neuroblastoma cell line SKNBE and carried out RNA sequencing. Integrative bioinformatics analyses were performed to identify EDC3-dependent candidate genes and/or pathways.

Results: Our analyses revealed that 235 genes were differentially expressed in patients versus controls. In addition, AU-rich element (ARE)-containing mRNAs, whose degradation in humans has been suggested to involve EDC3, had higher fold changes than non-ARE-containing genes. The analysis of RNA sequencing data from the EDC3 in vitro loss-of-function model confirmed the higher fold changes of ARE-containing mRNAs compared to non-ARE-containing mRNAs and further showed an upregulation of long non-coding and coding RNAs. In total, 764 genes were differentially expressed. Integrative bioinformatics analyses of these genes identified dysregulated candidate pathways, including pathways related to synapses/coated vesicles and DNA replication/cell cycle.

Conclusion: Our data support the involvement of EDC3 in mRNA decay, including ARE-containing mRNAs, and suggest that EDC3 might be preferentially involved in the degradation of long coding and non-coding RNAs. Furthermore, our results associate ECD3 loss-of-function with synapses-related pathways. Collectively, our data provide novel information that might help elucidate the molecular mechanisms underlying the association of intellectual disability with the dysregulation of mRNA degradation.

Keywords: Co-expression network; EDC3; Intellectual disability; Pathways; Transcriptome analysis; mRNA degradation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology*
  • Down-Regulation
  • GC Rich Sequence
  • Gene Knockdown Techniques
  • Gene Regulatory Networks
  • Humans
  • Intellectual Disability / genetics
  • Intellectual Disability / metabolism*
  • RNA Stability*
  • RNA, Long Noncoding / genetics
  • Ribonucleoproteins, Small Nuclear / deficiency
  • Ribonucleoproteins, Small Nuclear / genetics
  • Ribonucleoproteins, Small Nuclear / metabolism*
  • Synapses / metabolism

Substances

  • EDC3 protein, human
  • RNA, Long Noncoding
  • Ribonucleoproteins, Small Nuclear