ArticleInternational journal of biological sciences2015
Muscle Transcriptional Profile Based on Muscle Fiber, Mitochondrial Respiratory Activity, and Metabolic Enzymes.
Article in International journal of biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 34 citations in OpenAlex.
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- Study on the differential expression of disulfidptosis-related genes and their association with immune regulation in patients with diabetic retinopathy.Scientific reports · 2026Article
- Effects of physical exercise on neuromuscular junction degeneration during ageing: A systematic review.Journal of orthopaedic translation · 2024Review
- Giant peritoneal loose body and its protein composition: a case report.BMC urology · 2024Article
- Next Generation Sequencing and Electromyography Reveal the Involvement of theCurrent issues in molecular biology · 2024Article
- MyoV: a deep learning-based tool for the automated quantification of muscle fibers.Briefings in bioinformatics · 2024Article
- A genome-wide association study identified candidate regions and genes for commercial traits in a Landrace population.Frontiers in genetics · 2024Article
- The Function and Regulation Mechanism of Non-Coding RNAs in Muscle Development.International journal of molecular sciences · 2023Review
- The Skeletal Muscle Transcriptome Profile of Elderly Men with Metabolic Syndrome Based on Weighted Gene Co-Expression Network Analysis.Obesity facts · 2023Article
- Effects of Dietary L-malic Acid Supplementation on Meat Quality, Antioxidant Capacity and Muscle Fiber Characteristics of Finishing Pigs.Foods (Basel, Switzerland) · 2022Article
- Bioactive Components in Whole Grains for the Regulation of Skeletal Muscle Function.Foods (Basel, Switzerland) · 2022Review
- Population genomic, olfactory, dietary, and gut microbiota analyses demonstrate the unique evolutionary trajectory of feral pigs.Molecular ecology · 2022Article
- Genetic basis of negative heterosis for growth traits in chickens revealed by genome-wide gene expression pattern analysis.Journal of animal science and biotechnology · 2021Article
- Article
- Improvement of cognitive and motor performance with mitotherapy in aged mice.International journal of biological sciences · 2020Article
- Impact of merging commercial breeding lines on the genetic diversity of Landrace pigs.Genetics, selection, evolution : GSE · 2019Article
- Epigenome-wide skeletal muscle DNA methylation profiles at the background of distinct metabolic types and ryanodine receptor variation in pigs.BMC genomics · 2019Article
- Mitochondrial-nuclear crosstalk, haplotype and copy number variation distinct in muscle fiber type, mitochondrial respiratory and metabolic enzyme activities.Scientific reports · 2017Article
- Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth.BMC genomics · 2017Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skeletal muscle is a highly metabolically active tissue that both stores and consumes energy. Important biological pathways that affect energy metabolism and metabolic fiber type in muscle cells may be identified through transcriptomic profiling of the muscle, especially ante mortem. Here, gene expression was investigated in malignant hyperthermia syndrome (MHS)-negative Duroc and Pietrian (PiNN) pigs significantly differing for the muscle fiber types slow-twitch-oxidative fiber (STO) and fast-twitch-oxidative fiber (FTO) as well as mitochondrial activity (succinate-dependent state 3 respiration rate). Longissimus muscle samples were obtained 24 h before slaughter and profiled using cDNA microarrays. Differential gene expression between Duroc and PiNN muscle samples were associated with protein ubiquitination, stem cell pluripotency, amyloid processing, and 3-phosphoinositide biosynthesis and degradation pathways. In addition, weighted gene co-expression network analysis within both breeds identified several co-expression modules that were associated with the proportion of different fiber types, mitochondrial respiratory activity, and ATP metabolism. In particular, Duroc results revealed strong correlations between mitochondrion-associated co-expression modules and STO (r = 0.78), fast-twitch glycolytic fiber (r = -0.98), complex I (r=0.72) and COX activity (r = 0.86). Other pathways in the protein-kinase-activity enriched module were positively correlated with STO (r=0.93), while negatively correlated with FTO (r = -0.72). In contrast to PiNN, co-expression modules enriched in macromolecule catabolic process, actin cytoskeleton, and transcription activator activity were associated with fiber types, mitochondrial respiratory activity, and metabolic enzyme activities. Our results highlight the importance of mitochondria for the oxidative capacity of porcine muscle and for breed-dependent molecular pathways in muscle cell fibers.
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