Alternative splicing impacts microRNA regulation within coding regions

Author:

Hackl Lena Maria1,Fenn Amit12ORCID,Louadi Zakaria12,Baumbach Jan13ORCID,Kacprowski Tim45ORCID,List Markus2ORCID,Tsoy Olga1ORCID

Affiliation:

1. Institute for Computational Systems Biology, University of Hamburg , Notkestrasse 9, 22607 Hamburg, Germany

2. Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich , Maximus-von-Imhof-Forum 3, 85354 Freising, Germany

3. Computational BioMedicine Lab, University of Southern Denmark , Campusvej 50, 5230 Odense, Denmark

4. Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School , Rebenring 56, 38106 Braunschweig, Germany

5. Braunschweig Integrated Centre of Systems Biology (BRICS), TU Braunschweig , Rebenring 56, 38106 Braunschweig, Germany

Abstract

Abstract MicroRNAs (miRNAs) are small non-coding RNA molecules that bind to target sites in different gene regions and regulate post-transcriptional gene expression. Approximately 95% of human multi-exon genes can be spliced alternatively, which enables the production of functionally diverse transcripts and proteins from a single gene. Through alternative splicing, transcripts might lose the exon with the miRNA target site and become unresponsive to miRNA regulation. To check this hypothesis, we studied the role of miRNA target sites in both coding and non-coding regions using six cancer data sets from The Cancer Genome Atlas (TCGA) and Parkinson’s disease data from PPMI. First, we predicted miRNA target sites on mRNAs from their sequence using TarPmiR. To check whether alternative splicing interferes with this regulation, we trained linear regression models to predict miRNA expression from transcript expression. Using nested models, we compared the predictive power of transcripts with miRNA target sites in the coding regions to that of transcripts without target sites. Models containing transcripts with target sites perform significantly better. We conclude that alternative splicing does interfere with miRNA regulation by skipping exons with miRNA target sites within the coding region.

Funder

BMBF

Deutsche Forschungsgemeinschaft

VILLUM Young Investigator

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Computer Science Applications,Genetics,Molecular Biology,Structural Biology

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