ArticleBMC systems biology2015
Transcription factor and microRNA-regulated network motifs for cancer and signal transduction networks.
Article in BMC systems biology, 2015. 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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19 citing papers in PubMed, 41 citations in OpenAlex.
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- MyomirDB: A unified database and server platform for muscle atrophy myomiRs, coregulatory networks and regulons.Scientific reports · 2020Article
- The Novel Transcription Factor CREB3L4 Contributes to the Progression of Human Breast Carcinoma.Journal of mammary gland biology and neoplasia · 2020Article
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- Burkitt lymphoma-associated network construction and important network motif analysis.Oncology letters · 2018Article
- rSNPBase 3.0: an updated database of SNP-related regulatory elements, element-gene pairs and SNP-based gene regulatory networks.Nucleic acids research · 2018Article
- Systems biology study of transcriptional and post-transcriptional co-regulatory network sheds light on key regulators involved in important biological processes inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2017Article
- miR-2478 inhibits TGFβ1 expression by targeting the transcriptional activation region downstream of the TGFβ1 promoter in dairy goats.Scientific reports · 2017Article
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- Understanding the CREB1-miRNA feedback loop in human malignancies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Review
- Graph theory and stability analysis of protein complex interaction networks.IET systems biology · 2016Article
- Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study.PloS one · 2016Article
- Emerging role of transcription factor-microRNA-target gene feed-forward loops in cancer.Biomedical reports · 2015Article
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMolecular networks are the basis of biological processes. Such networks can be decomposed into smaller modules, also known as network motifs. These motifs show interesting dynamical behaviors, in which co-operativity effects between the motif components play a critical role in human diseases. We have developed a motif-searching algorithm, which is able to identify common motif types from the cancer networks and signal transduction networks (STNs). Some of the network motifs are interconnected which can be merged together and form more complex structures, the so-called coupled motif structures (CMS). These structures exhibit mixed dynamical behavior, which may lead biological organisms to perform specific functions.
resultsIn this study, we integrate transcription factors (TFs), microRNAs (miRNAs), miRNA targets and network motifs information to build the cancer-related TF-miRNA-motif networks (TMMN). This allows us to examine the role of network motifs in cancer formation at different levels of regulation, i.e. transcription initiation (TF → miRNA), gene-gene interaction (CMS), and post-transcriptional regulation (miRNA → target genes). Among the cancer networks and STNs we considered, it is found that there is a substantial amount of crosstalking through motif interconnections, in particular, the crosstalk between prostate cancer network and PI3K-Akt STN.To validate the role of network motifs in cancer formation, several examples are presented which demonstrated the effectiveness of the present approach. A web-based platform has been set up which can be accessed at: http://ppi.bioinfo.asia.edu.tw/pathway/. It is very likely that our results can supply very specific CMS missing information for certain cancer types, it is an indispensable tool for cancer biology research.
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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 OpenQuestion graph.