Transcriptional profiling identifies differential expression of long non-coding RNAs in Jo-1 associated and inclusion body myositis

Philip D. Hamann, Benoit T Roux, James A Heward, Seth Love, Neil J McHugh, Simon Jones, Mark A Lindsay

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
166 Downloads (Pure)

Abstract

Myositis is characterised by muscle inflammation and weakness. Although generally thought to be driven by a systemic autoimmune response, increasing evidence suggests that intrinsic changes in the muscle might also contribute to the pathogenesis. Long non-coding RNAs (lncRNAs) are a family of novel genes that regulate gene transcription and translation. To determine the potential role of lncRNAs, we employed next generation sequencing to examine the transcriptome in muscle biopsies obtained from two histologically distinct patient populations, inclusion body myositis (IBM) and anti-Jo-1-associated myositis (Jo-1). 1287 mRNAs and 1068 mRNAs were differentially expressed in the muscle from Jo-1 and IBM patients, respectively. Pathway analysis showed the top canonical pathway in both Jo-1 and IBM was oxidative phosphorylation and mitochondrial dysfunction. We identified 731 known and 325 novel lncRNAs in the muscles biopsies. Comparison with controls showed 55 and 46 lncRNAs were differentially expressed in IBM and Jo-1 myositis, respectively. Of these, 16 lncRNAs were differentially expressed in both IBM and Jo-1 myositis and included upregulated H19, lncMyoD and MALAT1. Given that these are known to regulate muscle proliferation and differentiation, we speculate that changes in lncRNAs might contribute to the phenotypic changes in Jo-1 and IBM myositis.
Original languageEnglish
JournalScientific Reports
Early online date14 Aug 2017
DOIs
Publication statusE-pub ahead of print - 14 Aug 2017

Fingerprint

Dive into the research topics of 'Transcriptional profiling identifies differential expression of long non-coding RNAs in Jo-1 associated and inclusion body myositis'. Together they form a unique fingerprint.

Cite this