ArticleBioinformatics (Oxford, England)2012
The architecture of the gene regulatory networks of different tissues.
Article in Bioinformatics (Oxford, England), 2012. 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.
- Chromatin accessibility landscapes define stromal cell identities across tissues.Communications biology · 2026Article
- Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA-gene-disease networks.Briefings in bioinformatics · 2024Article
- Identification of biomarkers complementary to homologous recombination deficiency for improving the clinical outcome of ovarian serous cystadenocarcinoma.Clinical and translational medicine · 2021Article
- MyomirDB: A unified database and server platform for muscle atrophy myomiRs, coregulatory networks and regulons.Scientific reports · 2020Article
- MicroRNA Profiling of Salivary Duct Carcinoma Versus Her2/Neu Overexpressing Breast Carcinoma Identify miR-10a as a Putative Breast Related Oncogene.Head and neck pathology · 2019Article
- Function, dynamics and evolution of network motif modules in integrated gene regulatory networks of worm and plant.Nucleic acids research · 2018Article
- Chromatin states modify network motifs contributing to cell-specific functions.Scientific reports · 2015Article
- Regulatory networks in retinal ischemia-reperfusion injury.BMC genetics · 2015Article
- Large differences in global transcriptional regulatory programs of normal and tumor colon cells.BMC cancer · 2014Article
- FunMod: a Cytoscape plugin for identifying functional modules in undirected protein-protein networks.Genomics, proteomics & bioinformatics · 2014Article
- Integrative identification of deregulated miRNA/TF-mediated gene regulatory loops and networks in prostate cancer.PloS one · 2014Article
- Characterization of regulatory features of housekeeping and tissue-specific regulators within tissue regulatory networks.BMC systems biology · 2013Article
- TFClass: an expandable hierarchical classification of human transcription factors.Nucleic acids research · 2013Article
- Reducing the complexity of complex gene coexpression networks by coupling multiweighted labeling with topological analysis.BioMed research international · 2013Article
- Using potential master regulator sites and paralogous expansion to construct tissue-specific transcriptional networks.BMC systems biology · 2012Article
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5 authors.
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Abstract
summaryThe great variety of human cell types in morphology and function is due to the diverse gene expression profiles that are governed by the distinctive regulatory networks in different cell types. It is still a challenging task to explain how the regulatory networks achieve the diversity of different cell types. Here, we report on our studies of the design principles of the tissue regulatory system by constructing the regulatory networks of eight human tissues, which subsume the regulatory interactions between transcription factors (TFs), microRNAs (miRNAs) and non-TF target genes. The results show that there are in-/out-hubs of high in-/out-degrees in tissue networks. Some hubs (strong hubs) maintain the hub status in all the tissues where they are expressed, whereas others (weak hubs), in spite of their ubiquitous expression, are hubs only in some tissues. The network motifs are mostly feed-forward loops. Some of them having no miRNAs are the common motifs shared by all tissues, whereas the others containing miRNAs are the tissue-specific ones owned by one or several tissues, indicating that the transcriptional regulation is more conserved across tissues than the post-transcriptional regulation. In particular, a common bow-tie framework was found that underlies the motif instances and shows diverse patterns in different tissues. Such bow-tie framework reflects the utilization efficiency of the regulatory system as well as its high variability in different tissues, and could serve as the model to further understand the structural adaptation of the regulatory system to the specific requirements of different cell functions. CONTACT: edgar.wingender@bioinf.med.uni-goettingen.de; jwang@nju.edu.cn SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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