A systems' biology approach to study microRNA-mediated gene regulatory networks
Lai X, Bhattacharya A, Schmitz U, Kunz M, Wolkenhauer O, Vera González J (2013)
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2013
Journal
Book Volume: 2013
Article Number: 703849
DOI: 10.1155/2013/703849
Open Access Link: http://dx.doi.org/10.1155/2013/703849
Abstract
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.
Authors with CRIS profile
Xin Lai
Department of Dermatology
Julio Vera González
Professur für Tumorimmunologie (Schwerpunkt Systembiologie)
Involved external institutions
Germany (DE)How to cite
APA:
Lai, X., Bhattacharya, A., Schmitz, U., Kunz, M., Wolkenhauer, O., & Vera González, J. (2013). A systems' biology approach to study microRNA-mediated gene regulatory networks. BioMed Research International, 2013. https://doi.org/10.1155/2013/703849
MLA:
Lai, Xin, et al. "A systems' biology approach to study microRNA-mediated gene regulatory networks." BioMed Research International 2013 (2013).
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