ArticleBMC genomics2018
Differential expression of mRNA isoforms in the skeletal muscle of pigs with distinct growth and fatness profiles.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 65 citations in OpenAlex.
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- Novel lncRNA regulatory elements in milk somatic cells of Holstein dairy cows associated with mastitis.Communications biology · 2024Article
- Transcriptome-wide mapping of milk somatic cells upon subclinical mastitis infection in dairy cattle.Journal of animal science and biotechnology · 2023Article
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- Understanding the role of myoglobin content in Iberian pigs fattened in an extensive system through analysis of the transcriptome profile.Animal genetics · 2022Article
- Identification of novel alternative splicing associated with mastitis disease in Holstein dairy cows using large gap read mapping.BMC genomics · 2022Article
- Exploring the Possible Link between the Gut Microbiome and Fat Deposition in Pigs.Oxidative medicine and cellular longevity · 2022Article
- The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies.Journal of animal science · 2021Review
- Candidate gene screening for lipid deposition using combined transcriptomic and proteomic data from Nanyang black pigs.BMC genomics · 2021Article
- Comprehensive RNA-Seq Profiling Reveals Temporal and Tissue-Specific Changes in Gene Expression in Sprague-Dawley Rats as Response to Heat Stress Challenges.Frontiers in genetics · 2021Article
- Transcriptome-Wide Analyses Identify Dominant as the Predominantly Non-Conservative Alternative Splicing Inheritance Patterns in F1 Chickens.Frontiers in genetics · 2021Article
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- Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait.Functional & integrative genomics · 2020Article
- Transcriptomic Profiles of Monocyte-Derived Macrophages in Response to Escherichia coli is Associated with the Host Genetics.Scientific reports · 2020Article
- Comparative Transcriptome Analyses ofFrontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundThe identification of genes differentially expressed in the skeletal muscle of pigs displaying distinct growth and fatness profiles might contribute to identify the genetic factors that influence the phenotypic variation of such traits. So far, the majority of porcine transcriptomic studies have investigated differences in gene expression at a global scale rather than at the mRNA isoform level. In the current work, we have investigated the differential expression of mRNA isoforms in the gluteus medius (GM) muscle of 52 Duroc HIGH (increased backfat thickness, intramuscular fat and saturated and monounsaturated fatty acids contents) and LOW pigs (opposite phenotype, with an increased polyunsaturated fatty acids content).
resultsOur analysis revealed that 10.9% of genes expressed in the GM muscle generate alternative mRNA isoforms, with an average of 2.9 transcripts per gene. By using two different pipelines, one based on the CLC Genomics Workbench and another one on the STAR, RSEM and DESeq2 softwares, we have identified 10 mRNA isoforms that both pipelines categorize as differentially expressed in HIGH vs LOW pigs (P-value < 0.01 and ±0.6 log
conclusionsThe increased levels of specific ITGA5, LITAF, TIMP1 and ANXA2 mRNA isoforms in HIGH pigs is consistent with reports indicating that the overexpression of these four genes is associated with obesity and metabolic disorders in humans. A broader knowledge about the functional attributes of these mRNA variants would be fundamental to elucidate the consequences of transcript diversity on the determinism of porcine phenotypes of economic interest.
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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 Socratic graph.