Cells · 2023 · 10 citations · 44 references
Life SciencesMolecular BiologyPathologyGene ExpressionInflammationTranscriptomicsIdiopathic Inflammatory MyopathiesInclusion Body MyositisInflammatory BiomarkersMicrorna BiologyMicrorna-mediated RegulationMuscle PathologyAntisynthetase SyndromeDifferential Expression In MicrornaDisease-associated MicrornasImmune-mediated Necrotizing MyopathyMicrorna Expression ProfilingMicrorna ProfilingMicrorna Regulation Of InflammationTranscriptomic Profiles
Dermatomyositis (DM), antisynthetase syndrome (AS), immune-mediated necrotizing myopathy (IMNM), and inclusion body myositis (IBM) are four major types of idiopathic inflammatory myopathy (IIM). Muscle biopsies from each type of IIM have unique transcriptomic profiles. MicroRNAs (miRNAs) target messenger RNAs (mRNAs), thereby regulating their expression and modulating transcriptomic profiles. In this study, 18 DM, 12 IMNM, 6 AS, 6 IBM, and 6 histologically normal muscle biopsies underwent miRNA profiling using the NanoString nCounter system. Eleven miRNAs were exclusively differentially expressed in DM compared to controls, seven miRNAs were only differentially expressed in AS, and nine miRNAs were specifically upregulated in IBM. No differentially expressed miRNAs were identified in IMNM. We also analyzed miRNA-mRNA associations to identify putative targets of differentially expressed miRNAs. In DM and AS, these were predominantly related to inflammation and cell cycle progression. Moreover, our analysis showed an association between miR-30a-3p, miR-30e-3p, and miR-199b-5p downregulation in DM and the upregulation of target genes induced by type I interferon. In conclusion, we show that muscle biopsies from DM, AS, and IBM patients have unique miRNA signatures and that these miRNAs might play a role in regulating the expression of genes known to be involved in IIM pathogenesis.
44
fastp: an ultra-fast all-in-one FASTQ preprocessor
Shifu Chen, Yanqing Zhou, Yaru Chen et al. · Bioinformatics · 2018 · 29.7K citations · Full text
The Molecular Signatures Database Hallmark Gene Set Collection
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir et al. · Cell Systems · 2015 · 14.5K citations · Full text
Salmon provides fast and bias-aware quantification of transcript expression
Rob Patro, Geet Duggal, Michael I. Love et al. · Nature Methods · 2017 · 13.7K citations · Full text
clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
Tianzhi Wu, Erqiang Hu, Shuangbin Xu et al. · The Innovation · 2021 · 12.7K citations · Full text