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How MicroRNA and Transcription Factor Co-regulatory Networks Affect Osteosarcoma Cell Proliferation

Overview of attention for article published in PLoS Computational Biology, August 2013
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Title
How MicroRNA and Transcription Factor Co-regulatory Networks Affect Osteosarcoma Cell Proliferation
Published in
PLoS Computational Biology, August 2013
DOI 10.1371/journal.pcbi.1003210
Pubmed ID
Authors

Kathrin Poos, Jan Smida, Michaela Nathrath, Doris Maugg, Daniel Baumhoer, Eberhard Korsching

Abstract

Osteosarcomas (OS) are complex bone tumors with various genomic alterations. These alterations affect the expression and function of several genes due to drastic changes in the underlying gene regulatory network. However, we know little about critical gene regulators and their functional consequences on the pathogenesis of OS. Therefore, we aimed to determine microRNA and transcription factor (TF) co-regulatory networks in OS cell proliferation. Cell proliferation is an essential part in the pathogenesis of OS and deeper understanding of its regulation might help to identify potential therapeutic targets. Based on expression data of OS cell lines divided according to their proliferative activity, we obtained 12 proliferation-related microRNAs and corresponding target genes. Therewith, microRNA and TF co-regulatory networks were generated and analyzed regarding their structure and functional influence. We identified key co-regulators comprising the microRNAs miR-9-5p, miR-138, and miR-214 and the TFs SP1 and MYC in the derived networks. These regulators are implicated in NFKB- and RB1-signaling and focal adhesion processes based on their common or interacting target genes (e.g., CDK6, CTNNB1, E2F4, HES1, ITGA6, NFKB1, NOTCH1, and SIN3A). Thus, we proposed a model of OS cell proliferation which is primarily co-regulated through the interactions of the mentioned microRNA and TF combinations. This study illustrates the benefit of systems biological approaches in the analysis of complex diseases. We integrated experimental data with publicly available information to unravel the coordinated (post)-transcriptional control of microRNAs and TFs to identify potential therapeutic targets in OS. The resulting microRNA and TF co-regulatory networks are publicly available for further exploration to generate or evaluate own hypotheses of the pathogenesis of OS (http://www.complex-systems.uni-muenster.de/co_networks.html).

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Geographical breakdown

Country Count As %
United States 2 2%
Italy 1 1%
India 1 1%
France 1 1%
Ukraine 1 1%
United Kingdom 1 1%
China 1 1%
Canada 1 1%
Unknown 83 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 34%
Researcher 17 18%
Student > Master 12 13%
Student > Doctoral Student 8 9%
Student > Bachelor 6 7%
Other 11 12%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 40%
Biochemistry, Genetics and Molecular Biology 21 23%
Medicine and Dentistry 14 15%
Computer Science 6 7%
Engineering 3 3%
Other 2 2%
Unknown 9 10%