ArticleFrontiers in genetics2019
Co-Expression Networks Reveal Potential Regulatory Roles of miRNAs in Fatty Acid Composition of Nelore Cattle.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 46 citations in OpenAlex.
- The integration of WGCNA and ceRNA analysis provides insights into bovine intramuscular fat deposition.BMC genomics · 2025Article
- Effect of enhanced early life nutrition on the molecular regulation of anterior pituitary function in Holstein Friesian bull calves.Scientific reports · 2025Article
- Search for Ancient Selection Traces in Faverolle Chicken Breed (Animals : an open access journal from MDPI · 2025Article
- Article
- Effect of breed and dietary composition on the miRNA profile of beef steers divergent for feed efficiency.Scientific reports · 2024Article
- Mining key circRNA-associated-ceRNA networks for milk fat metabolism in cows with varying milk fat percentages.BMC genomics · 2024Article
- Exploring miRNA-target gene pair detection in disease with coRmiT.Briefings in bioinformatics · 2024Article
- Weighted gene co-expression network analysis identified hub genes critical to fatty acid composition in Gushi chicken breast muscle.BMC genomics · 2023Article
- Copy Number Variation Regions Differing in Segregation Patterns Span Different Sets of Genes.Animals : an open access journal from MDPI · 2023Article
- Regulatory Role of microRNA of Milk Exosomes in Mastitis of Dairy Cows.Animals : an open access journal from MDPI · 2023Article
- Characterization of the fatty acid metabolism-related genes in lung adenocarcinoma to guide clinical therapy.BMC pulmonary medicine · 2022Article
- Comparative Study of the Expression Profiles of miRNAs of Milk-Derived Exosomes of Yak and Jeryak.Animals : an open access journal from MDPI · 2022Article
- Transcriptome Profile Reveals Genetic and Metabolic Mechanisms Related to Essential Fatty Acid Content of IntramuscularMetabolites · 2022Article
- Article
- Weighted Gene Co-expression Network Analysis Identifies Specific Modules and Hub Genes Related to Subacute Ruminal Acidosis.Frontiers in veterinary science · 2022Article
- Transcriptome-wide study revealed m6A regulation of embryonic muscle development in Dingan goose (Anser cygnoides orientalis).BMC genomics · 2021Article
- Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle.Genes · 2021Article
- Identification and Annotation of Potential Function of Regulatory Antisense Long Non-Coding RNAs Related to Feed Efficiency inInternational journal of molecular sciences · 2020Article
- Common Gene Modules Identified for Chicken Adiposity by Network Construction and Comparison.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fatty acid (FA) content affects the sensorial and nutritional value of meat and plays a significant role in biological processes such as adipogenesis and immune response. It is well known that, in beef, the main FAs associated with these biological processes are oleic acid (C18:1 cis9, OA) and conjugated linoleic acid (CLA-c9t11), which may have beneficial effects on metabolic diseases such as type 2 diabetes and obesity. Here, we performed differential expression and co-expression analyses, weighted gene co-expression network analysis (WGCNA) and partial correlation with information theory (PCIT), to uncover the complex interactions between miRNAs and mRNAs expressed in skeletal muscle associated with FA content. miRNA and mRNA expression data were obtained from skeletal muscle of Nelore cattle that had extreme genomic breeding values for OA and CLA. Insulin and MAPK signaling pathways were identified by WGCNA as central pathways associated with both of these fatty acids. Co-expression network analysis identified bta-miR-33a/b, bta-miR-100, bta-miR-204, bta-miR-365-5p, bta-miR-660, bta-miR-411a, bta-miR-136, bta-miR-30-5p, bta-miR-146b, bta-let-7a-5p, bta-let-7f, bta-let-7, bta-miR 339, bta-miR-10b, bta-miR 486, and the genes
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Registered trials
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