RNA sequencing data integration reveals an miRNA interactome of osteoarthritis cartilage

Journal article (2018)

Authors

Rodrigo Coutinho de Almeida Leiden University Medical Center
YFM Ramos Leiden University Medical Center
Hailiang Mei Leiden University Medical Center
Szymon M. Kielbasa Leiden University Medical Center
R.G.H.H. Nelissen Leiden University Medical Center
M.J.T. Reinders Pattern Recognition and Bioinformatics - EEMCS , Leiden University Medical Center
Marcel Reinders Pattern Recognition and Bioinformatics - EEMCS , Leiden University Medical Center
M. J.T. Reinders Pattern Recognition and Bioinformatics - EEMCS , Leiden University Medical Center
Marcel J.T. Reinders Pattern Recognition and Bioinformatics - EEMCS , Leiden University Medical Center
Ingrid Meulenbelt Leiden University Medical Center
Ahmed Mahfouz Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
A.M.E.T.A. Mahfouz Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
Wouter den Hollander Leiden University Medical Center
Nico Lakenberg Leiden University Medical Center
Evelyn Houtman Leiden University Medical Center
Marcella van Hoolwerff Leiden University Medical Center
Eka Suchiman Leiden University Medical Center
HED Suchiman Leiden University Medical Center
Alejandro Rodriguez-Ruiz Leiden University Medical Center
P. Eline Slagboom Leiden University Medical Center
Research Group
Pattern Recognition and Bioinformatics (EEMCS) (TU Delft)
Copyright: © 2018 Rodrigo Coutinho de Almeida, Yolande F.M. Ramos, A.M.E.T.A. Mahfouz, Wouter den Hollander, Nico Lakenberg, Evelyn Houtman, Marcella van Hoolwerff, H. Eka D. Suchiman, Alejandro Rodriguez-Ruiz, P. Eline Slagboom, Hailiang Mei, Szymon M. Kielbasa, R.G.H.H. Nelissen, M.J.T. Reinders, Ingrid Meulenbelt
DOI: https://doi.org/10.1136/annrheumdis-2018-213882
More Info
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Published Date

2018

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Pattern Recognition and Bioinformatics

Abstract

Objective To uncover the microRNA (miRNA) interactome of the osteoarthritis (OA) pathophysiological process in the cartilage.
Methods We performed RNA sequencing in 130 samples (n=35 and n=30 pairs for messenger RNA (mRNA) and miRNA, respectively) on macroscopically preserved and lesioned OA cartilage from the same patient and performed differential expression (DE) analysis of miRNA and mRNAs. To build an OA-specific miRNA interactome, a prioritisation scheme was applied based on inverse Pearson’s correlations and inverse DE of miRNAs and mRNAs. Subsequently, these were filtered by those present in predicted (TargetScan/microT-CDS) and/or experimentally validated (miRTarBase/TarBase) public databases. Pathway enrichment analysis was applied to elucidate OA-related pathways likely mediated by miRNA regulatory mechanisms.
Results We found 142 miRNAs and 2387 mRNAs to be differentially expressed between lesioned and preserved OA articular cartilage. After applying prioritisation towards likely miRNA-mRNA targets, a regulatory network of 62 miRNAs targeting 238 mRNAs was created. Subsequent pathway enrichment analysis of these mRNAs (or genes) elucidated that genes within the ‘nervous system development’ are likely mediated by miRNA regulatory mechanisms (familywise error=8.4×10−5). Herein NTF3 encodes neurotrophin-3, which controls survival and differentiation of neurons and which is closely related to the nerve growth factor.
Conclusions By an integrated approach of miRNA and mRNA sequencing data of OA cartilage, an OA miRNA interactome and related pathways were elucidated. Our functional data demonstrated interacting levels at which miRNA affects expression of genes in the cartilage and exemplified the complexity of functionally validating a network of genes that may be targeted by multiple miRNAs.