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Temporal analysis of oncogenesis using microRNA expression data
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
2008 (English)In: Proc. Ger. Conf. Bioinformatics, GCB, Bonn: Gesellschaft für Informatik , 2008, 128-137 p.Conference paper, Published paper (Refereed)
Abstract [en]

MicroRNAs (miRNAs) have rapidly become the focus of many cancer research studies. These small non-coding RNAs have been shown to play important roles in the regulation of oncogenes and tumor suppressors. It has also been demonstrated that miRNA expression profiles differ significantly between normal and cancerous cells, which indicates the possibility of using miRNAs as markers for cancer diagnosis and prognosis. However, not much is known about the regulation of miRNA expression. One of the issues worth investigating is whether deregulations of miRNA expression in cancer cells occur according to some pattern or in a random order. We therefore selected two approaches, previously used to derive graph models of oncogenesis using chromosomal imbalance data, and adapted them to miRNA expression data. Applying the adapted algorithms to a breast cancer data set, we obtained results indicating the temporal order of miRNA deregulations during tumor development. When analyzing the specific deregulations appearing at different time points in the derived model, we found that several of the deregulations identified as early events could be supported through literature studies.

Place, publisher, year, edition, pages
Bonn: Gesellschaft für Informatik , 2008. 128-137 p.
Series
Proceedings of the German Conference on Bioinformatics, GCB 2008, P-136
Keyword [en]
Breast cancer data, Cancer cells, Cancer diagnosis, Cancer research, Cancerous cells, Expression data, Expression profile, Graph model, MicroRNA expression, MicroRNAs, Non-coding RNAs, Oncogenesis, Temporal analysis, Temporal order, Time points, Tumor development, Tumor suppressors, Bioinformatics, Deregulation, Diagnosis, Diseases, Oncogenic viruses, Tumors, RNA
Identifiers
URN: urn:nbn:se:his:diva-7256Scopus ID: 2-s2.0-84871212730ISBN: 9783885792260 OAI: oai:DiVA.org:his-7256DiVA: diva2:606199
Conference
German Conference on Bioinformatics, GCB 2008, 9 September 2008 through 12 September 2008, Dresden
Available from: 2013-02-18 Created: 2013-02-18 Last updated: 2013-03-18

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Scopushttp://subs.emis.de/LNI/Proceedings/Proceedings136/gi-proc-136-013.pdf

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