ArticleScientific reports2016
Genome-wide landscape of DNA methylomes and their relationship with mRNA and miRNA transcriptomes in oxidative and glycolytic skeletal muscles.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 40 citations in OpenAlex.
- Effects of Moderately Reduced Dietary Net Energy on Growth Performance, Meat Quality and Intestinal Barrier Function in Growing Pigs.Veterinary sciences · 2026Article
- [Advances in the role of miR-378a in skeletal muscle development and diseases].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Review
- Multi-Omics Insights into Postnatal Skeletal Muscle Development in Duroc Pigs.Animals : an open access journal from MDPI · 2025Article
- Editorial: Exploring genetic and environmental factors in skeletal muscle development.Frontiers in veterinary science · 2025Article
- Single-Cell RNA-Seq Analysis Links DNMT3B and PFKFB4 Transcriptional Profiles with Metastatic Traits in Hepatoblastoma.Biomolecules · 2024Article
- CRISPR Screen Identifies the RNA-Binding Protein Eef1a1 as a Key Regulator of Myogenesis.International journal of molecular sciences · 2024Article
- Diverse WGBS profiles of longissimus dorsi muscle in Hainan black goats and hybrid goats.BMC genomic data · 2023Article
- Metabolomic biomarkers of habitual B vitamin intakes unveil novel differentially methylated positions in the human epigenome.Clinical epigenetics · 2023Article
- Potential Involvement of DNA Methylation in Hybrid Sterility in Hermaphroditic Argopecten Scallops.Marine biotechnology (New York, N.Y.) · 2023Article
- Comprehensive analysis of pre-mRNA alternative splicing regulated by m6A methylation in pig oxidative and glycolytic skeletal muscles.BMC genomics · 2022Article
- miR-222 Is Involved in the Amelioration Effect of Genistein on Dexamethasone-Induced Skeletal Muscle Atrophy.Nutrients · 2022Article
- Identification of tRNA-derived small RNAs and their potential roles in porcine skeletal muscle with intrauterine growth restriction.Frontiers in physiology · 2022Article
- Epigenome-wide association studies of meat traits in Chinese Yorkshire pigs highlights several DNA methylation loci and genes.Frontiers in genetics · 2022Article
- DNA methylomic homogeneity and heterogeneity in muscles and testes throughout pig adulthood.Aging · 2020Article
- Analysis of Transcriptome and miRNAome in the Muscle of Bamei Pigs at Different Developmental Stages.Animals : an open access journal from MDPI · 2020Article
- miRNA-mRNA network regulation in the skeletal muscle fiber phenotype of chickens revealed by integrated analysis of miRNAome and transcriptome.Scientific reports · 2020Article
- Downregulated miR-204 Promotes Skeletal Muscle Regeneration.BioMed research international · 2020Article
- Comprehensive Analysis of lncRNAs and circRNAs Reveals the Metabolic Specialization in Oxidative and Glycolytic Skeletal Muscles.International journal of molecular sciences · 2019Article
- Dynamic Changes of DNA Methylation and Transcriptome Expression in Porcine Ovaries during Aging.BioMed research international · 2019Article
- miR-152 regulates the proliferation and differentiation of C2C12 myoblasts by targeting E2F3.In vitro cellular & developmental biology. Animal · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The physiological, biochemical and functional differences between oxidative and glycolytic muscles play important roles in human metabolic health and in animal meat quality. To explore these differences, we determined the genome-wide landscape of DNA methylomes and their relationship with the mRNA and miRNA transcriptomes of the oxidative muscle psoas major (PMM) and the glycolytic muscle longissimus dorsi (LDM). We observed the hypo-methylation of sub-telomeric regions. A high mitochondrial content contributed to fast replicative senescence in PMM. The differentially methylated regions (DMRs) in promoters (478) and gene bodies (5,718) were mainly enriched in GTPase regulator activity and signaling cascade-mediated pathways. Integration analysis revealed that the methylation status within gene promoters (or gene bodies) and miRNA promoters was negatively correlated with mRNA and miRNA expression, respectively. Numerous genes were closely related to distinct phenotypic traits between LDM and PMM. For example, the hyper-methylation and down-regulation of HK-2 and PFKFB4 were related to decrease glycolytic potential in PMM. In addition, promoter hypo-methylation and the up-regulation of miR-378 silenced the expression of the target genes and promoted capillary biosynthesis in PMM. Together, these results improve understanding of muscle metabolism and development from genomic and epigenetic perspectives.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.