ArticleBMC genomics2011
Genome-wide patterns of promoter sharing and co-expression in bovine skeletal muscle.
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Identification of Metabolic Pathways and Hub Genes Associated with Ultrasound Subcutaneous Fat and Muscle Depth of the Longissimus Muscle in Cull Beef Cows Using Gene Co-Expression Analysis.Animals : an open access journal from MDPI · 2025Article
- Adjustment of spurious correlations in co-expression measurements from RNA-Sequencing data.Bioinformatics (Oxford, England) · 2023Article
- Enhanced identification of significant regulators of gene expression.BMC bioinformatics · 2020Article
- Gene co-expression networks contributing to the expression of compensatory growth in metabolically active tissues in cattle.Scientific reports · 2019Article
- Transcriptome profiling of individual rhesus macaque oocytes and preimplantation embryos.Biology of reproduction · 2017Article
- Large-scale gene co-expression network as a source of functional annotation for cattle genes.BMC genomics · 2016Article
- Integrated network analysis reveals distinct regulatory roles of transcription factors and microRNAs.RNA (New York, N.Y.) · 2016Article
- Multi-breed and multi-trait co-association analysis of meat tenderness and other meat quality traits in three French beef cattle breeds.Genetics, selection, evolution : GSE · 2016Article
- Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle.PloS one · 2014Article
- Genetic architecture of gene expression in ovine skeletal muscle.BMC genomics · 2011Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGene regulation by transcription factors (TF) is species, tissue and time specific. To better understand how the genetic code controls gene expression in bovine muscle we associated gene expression data from developing Longissimus thoracis et lumborum skeletal muscle with bovine promoter sequence information.
resultsWe created a highly conserved genome-wide promoter landscape comprising 87,408 interactions relating 333 TFs with their 9,242 predicted target genes (TGs). We discovered that the complete set of predicted TGs share an average of 2.75 predicted TF binding sites (TFBSs) and that the average co-expression between a TF and its predicted TGs is higher than the average co-expression between the same TF and all genes. Conversely, pairs of TFs sharing predicted TGs showed a co-expression correlation higher that pairs of TFs not sharing TGs. Finally, we exploited the co-occurrence of predicted TFBS in the context of muscle-derived functionally-coherent modules including cell cycle, mitochondria, immune system, fat metabolism, muscle/glycolysis, and ribosome. Our findings enabled us to reverse engineer a regulatory network of core processes, and correctly identified the involvement of E2F1, GATA2 and NFKB1 in the regulation of cell cycle, fat, and muscle/glycolysis, respectively.
conclusionThe pivotal implication of our research is two-fold: (1) there exists a robust genome-wide expression signal between TFs and their predicted TGs in cattle muscle consistent with the extent of promoter sharing; and (2) this signal can be exploited to recover the cellular mechanisms underpinning transcription regulation of muscle structure and development in bovine. Our study represents the first genome-wide report linking tissue specific co-expression to co-regulation in a non-model vertebrate.
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