Comparative transcriptome analysis of skeletal muscle in ADSSL1 myopathy

Hyung Jun Park, Ji Man Hong, Jung Hwan Lee, Ha Young Shin, Seung Min Kim, Kee Duk Park, Ji Hyun Lee, Young Chul Choi

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

ADSSL1 myopathy was recently identified as the cause of muscular disorders in Korean patients with distal myopathy. We generated transcriptome profiles of muscles from control subjects and patients with ADSSL1 myopathy. In the present study, RNA sequencing was conducted with seven vastus lateralis muscle samples from four patients with ADSSL1 myopathy and three control subjects. The hierarchical clustering result revealed a separation between myopathy and control groups. A total of 1,260 transcripts were significantly differentially expressed (|fold change| ≥ 2, p < 0.05), with 740 upregulated transcripts and 520 downregulated transcripts in myopathy group. Eighteen transcripts that mapped to purine metabolism pathway were significantly differentially expressed between the two groups, with ten downregulated transcripts and eight upregulated transcripts in myopathy group. In particular, three genes involved in purine nucleotide cycle (ADSSL1, ADSL, and AMPD1) were significantly downregulated in myopathy group. Ten transcripts in glycolysis/gluconeogenesis pathway were also significantly differentially expressed. This is the first study on the altered expression of transcripts in muscle tissues from patients with ADSSL1 myopathy. Our results provide new insights into the pathogenesis of ADSSL1 myopathy.

Original languageEnglish
Pages (from-to)274-281
Number of pages8
JournalNeuromuscular Disorders
Volume29
Issue number4
DOIs
StatePublished - Apr 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.

Keywords

  • ADSSL1
  • Gene expression
  • Myopathy
  • Pathomechanism
  • RNA-Seq
  • Transcriptome

Fingerprint

Dive into the research topics of 'Comparative transcriptome analysis of skeletal muscle in ADSSL1 myopathy'. Together they form a unique fingerprint.

Cite this