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Quantitative technologies establish a novel microRNA profile of chronic lymphocytic leukemia

Fulci, V. and Chiaretti, S. and Goldoni, M. and Azzalin, G. and Carucci, N. and Tavolaro, S. and Castellano, L. and Magrelli, A. and Citarella, F. and Messina, M. and Maggio, R. and Peragine, N. and Santangelo, S. and Mauro, F. R. and Landgraf, P. and Tuschl, T. and Weir, D. B. and Chien, M. and Russo, J. J. and Ju, J. and Sheridan, R. and Sander, C. and Zavolan, M. and Guarini, A. and Foa, R. and Macino, G.. (2007) Quantitative technologies establish a novel microRNA profile of chronic lymphocytic leukemia. Blood, Vol. 109, H. 11. pp. 4944-4951.

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Official URL: http://edoc.unibas.ch/dok/A5259653

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Abstract

MicroRNAs (miRNAs) are a novel class of small noncoding RNAs that modulate the expression of genes at the posttranscriptional level. These small molecules have been shown to be involved in cancer, apoptosis, and cell metabolism. In the present study we provide an informative profile of the expression of miRNAs in primary chronic lymphocytic leukemia (CLL) cells using 2 independent and quantitative methods: miRNA cloning and quantitative real-time-polymerase chain reaction (qRT-PCR) of mature miRNAs. Both approaches show that miR-21 and miR-155 are dramatically overexpressed in patients with CLL, although the corresponding genomic loci are not amplified. miR-150 and miR-92 are also significantly deregulated in patients with CLL. In addition, we detected a marked miR-15a and miR-16 decrease in about 11% of cases. Finally, we identified a set of miRNAs whose expression correlates with biologic parameters of prognostic relevance, particularly with the mutational status of the IgV(H) genes. In summary, the results of this study offer for the first time a comprehensive and quantitative profile of miRNA expression in CLL and their healthy counterpart, suggesting that miRNAs could play a primary role in the disease itself.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (Zavolan)
UniBasel Contributors:Zavolan, Mihaela
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
ISSN:1528-0020
Note:Publication type according to Uni Basel Research Database: Journal article
Last Modified:22 Mar 2012 14:22
Deposited On:22 Mar 2012 13:28

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