A Systems' Biology Approach to Study MicroRNA-Mediated Gene Regulatory Networks.
MicroRNAs (miRNAs) are potent effectors in gene regulatory networks where aberrant miRNA expression can contribute to human diseases such as cancer. For a better understanding of the regulatory role of miRNAs in coordinating gene expression, we here present a systems biology approach combining data-...
| Publicado en: | BioMed Research International Vol. 2013; pp. 703849 - 703850 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104136578&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104136578 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104136578 2012424794 NLM24350286 PMC3848080 104136578 ppf: 703849 ppct: 1 formats: fmt: @attributes: type: P tig: atl: A Systems' Biology Approach to Study MicroRNA-Mediated Gene Regulatory Networks. aug: au: Lai, Xin Bhattacharya, Animesh Schmitz, Ulf Kunz, Manfred Vera, Julio Wolkenhauer, Olaf affil: Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany ; Laboratory of Systems Tumor Immunology, Department of Dermatology, Faculty of Medicine, University of Erlangen-Nuremberg, Ulmenweg 18, 91054 Erlangen, Germany. sug: subj: Molecular Structure RNA Bioinformatics Methods Gene Expression Profiling Methods Models, Biological Neoplasms Phosphotransferases ab: MicroRNAs (miRNAs) are potent effectors in gene regulatory networks where aberrant miRNA expression can contribute to human diseases such as cancer. For a better understanding of the regulatory role of miRNAs in coordinating gene expression, we here present a systems biology approach combining data-driven modeling and model-driven experiments. Such an approach is characterized by an iterative process, including biological data acquisition and integration, network construction, mathematical modeling and experimental validation. To demonstrate the application of this approach, we adopt it to investigate mechanisms of collective repression on p21 by multiple miRNAs. We first construct a p21 regulatory network based on data from the literature and further expand it using algorithms that predict molecular interactions. Based on the network structure, a detailed mechanistic model is established and its parameter values are determined using data. Finally, the calibrated model is used to study the effect of different miRNA expression profiles and cooperative target regulation on p21 expression levels in different biological contexts. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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