Annals of Clinical and Translational Neurology · 2021 · 25 citations · 60 references
Life SciencesMolecular BiologyPathologyGene ExpressionHistologyTranscriptomicsExtracellular MatrixFibrosisGene Expression ProfilingMuscle PathologyMuscle TissueMuscular DystrophyMuscle AtrophyMuscle Fiber AtrophyMuscular Dystrophy PathophysiologySkeletal Muscle AtrophySkeletal Muscle Gene Expression ResponsesTranscriptional Signature AnalysisTranscriptome AnalysisTranscriptomic Profiles
OBJECTIVE: To define the transcriptomic changes responsible for the histologic alterations in skeletal muscle and their progression in collagen VI-related muscular dystrophy (COL6-RD). METHODS: COL6-RD patient muscle biopsies were stratified into three groups based on the overall level of pathologic severity considering degrees of fibrosis, muscle fiber atrophy, and fatty replacement of muscle tissue. Using microarray and RNA-Seq, we then performed global gene expression profiling on the same muscle biopsies and compared their transcriptome with age- and sex-matched controls. RESULTS: COL6-RD muscle biopsy transcriptomes as a group revealed prominent upregulation of muscle extracellular matrix component genes and the downregulation of skeletal muscle and mitochondrion-specific genes. Upregulation of the TGFβ pathway was the most conspicuous change across all biopsies and was fully evident even in the mildest/earliest histological group. There was no difference in the overall transcriptional signature between the different histologic groups but polyserial analysis identified relative changes along with COL6-RD histological severity. INTERPRETATION: Overall, our study establishes the prominent dysregulation of extracellular matrix genes, TGFβ signaling, and its downstream cellular pathways at the transcriptomic level in COL6-RD muscle.
60
Spontaneous calcification of arteries and cartilage in mice lacking matrix GLA protein
Guangbin Luo, Patricia Ducy, Marc D. McKee et al. · Nature · 1997 · 2.1K citations
Comparison of RNA-Seq and Microarray in Transcriptome Profiling of Activated T Cells
Shanrong Zhao, Wai‐Ping Fung‐Leung, Anton Bittner et al. · PLoS ONE · 2014 · 961 citations · Full text