ArticlePloS one2019
Computational identification of tissue-specific transcription factor cooperation in ten cattle tissues.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
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- Computational Identification of Milk Trait Regulation Through Transcription Factor Cooperation in Murciano-Granadina Goats.Biology · 2024Article
- Prediction of mammalian tissue-specific CLOCK-BMAL1 binding to E-box DNA motifs.Scientific reports · 2023Article
- Multifaceted Transcriptional Network of Estrogen-Related Receptor Alpha in Health and Disease.International journal of molecular sciences · 2023Review
- Systems-level identification of key transcription factors in immune cell specification.PLoS computational biology · 2022Article
- Computational identification of new potential transcriptional partners of ERRα in breast cancer cells: specific partners for specific targets.Scientific reports · 2022Article
- Comparative Investigation of Gene Regulatory Processes Underlying Avian Influenza Viruses in Chicken and Duck.Biology · 2022Article
- Comprehensive Analysis of miRNAs and Target mRNAs between Immature and Mature Testis Tissue in Chinese Red Steppes Cattle.Animals : an open access journal from MDPI · 2021Article
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- Unravelling the Complex Interplay of Transcription Factors Orchestrating Seed Oil Content inInternational journal of molecular sciences · 2021Article
- In Silico Identification of the Complex Interplay between Regulatory SNPs, Transcription Factors, and Their Related Genes inInternational journal of molecular sciences · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcription factors (TFs) are a special class of DNA-binding proteins that orchestrate gene transcription by recruiting other TFs, co-activators or co-repressors. Their combinatorial interplay in higher organisms maintains homeostasis and governs cell identity by finely controlling and regulating tissue-specific gene expression. Despite the rich literature on the importance of cooperative TFs for deciphering the mechanisms of individual regulatory programs that control tissue specificity in several organisms such as human, mouse, or Drosophila melanogaster, to date, there is still need for a comprehensive study to detect specific TF cooperations in regulatory processes of cattle tissues. To address the needs of knowledge about specific combinatorial gene regulation in cattle tissues, we made use of three publicly available RNA-seq datasets and obtained tissue-specific gene (TSG) sets for ten tissues (heart, lung, liver, kidney, duodenum, muscle tissue, adipose tissue, colon, spleen and testis). By analyzing these TSG-sets, tissue-specific TF cooperations of each tissue have been identified. The results reveal that similar to the combinatorial regulatory events of model organisms, TFs change their partners depending on their biological functions in different tissues. Particularly with regard to preferential partner choice of the transcription factors STAT3 and NR2C2, this phenomenon has been highlighted with their five different specific cooperation partners in multiple tissues. The information about cooperative TFs could be promising: i) to understand the molecular mechanisms of regulating processes; and ii) to extend the existing knowledge on the importance of single TFs in cattle tissues.
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