Abstract

BACKGROUND Schistosomiasis is a disease caused by Schistosoma. Due to its complex life cycle, evolutionary position and sexual dimorphism, schistosomes have several mechanisms of gene regulation. MicroRNAs (miRNAs) are short endogenous RNAs that regulate gene expression at the post-transcriptional level by targeting mRNA transcripts.OBJECTIVES Here, we tested 12 miRNAs and identified their putative targets using a computational approach.METHODS We performed the expression profiles of a set of miRNAs and their putative targets during the parasite’s life cycle by quantitative reverse transcription-polymerase chain reaction (qRT-PCR).FINDINGS Our results showed differential expression patterns of the mature miRNAs sma-miR-250; sma-miR-92a; sma-miR-new_4-3p; sma-miR-new_4-5p; sma-miR-new_5-5p; sma-miR-new_12-5p; sma-miR-new_13-3p and sma-miR-new_13-5p. Interestingly, many of the putative target genes are linked to oxidative phosphorylation and are up-regulated in adult-worms, which led us to suggest that miRNAs might play important roles in the post-transcriptional regulation of genes related to energetic metabolism inversion during parasite development. It is noteworthy that the expression of sma-miR-new_13-3p exhibited a negative correlation on SmNADH:ubiquinone oxidoreductase complex I.MAIN CONCLUSIONS Our analysis revealed putative miRNA genes related to important biological processes, such as transforming growth factor beta (TGF-β) signaling, proteasome regulation, glucose and lipid metabolism, immune system evasion and transcriptional regulation.

Highlights

  • Schistosomiasis is a disease caused by Schistosoma

  • It is important to highlight that those miRNAs presenting “new” in their nomenclature are not conserved among other species and probably are new specific miRNAs of the Schistosoma genus

  • We aimed to evaluate the expression profile of twelve mature miRNAs that have been not tested yet, among those 63 that were predicted by our group

Read more

Summary

Objectives

We tested 12 miRNAs and identified their putative targets using a computational approach

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.