Authors: Patrizio Arrigo, Pasquale P. Cardo, Alberto Izzotti
Addresses: CNR Institute for Macromolecular Studies (ISMAC), Via De Marini, 6, 1649, Genova, Italy. ' Department of Health Science, University of Genoa, Viale Benedetto XV, 7, 16132, Genova, Italy. ' Department of Health Science, University of Genoa, Via A. Pastore, 1, 16132, Genova, Italy
Abstract: The analysis of miRNA expression profile is powerful support to screen new disease biomarkers. One miRNA can control the expression of several different protein mRNAs. Lack of knowledge about the process of target recognition is a weak point in the development of reliable computational tools for miRNA target selection. Here we present a novel integrative approach for to predict potential miRNA target. It is a workflow founded on integration proteomic and miRNA information. The software has been tested on a sample of proteomic data obtained from samples of mouse subjected to the effect of Environmental Cigarette Smoke (ECS).
Keywords: integrative bioinformatics; miRNA expression profile; biomarkers discovery; workflow; proteomics; Abs array; metabolic pathways; disease biomarkers; miRNA target selection; proteomic data; mice; environmental cigarette smoke.
International Journal of Computational Biology and Drug Design, 2010 Vol.3 No.2, pp.164 - 173
Published online: 16 Sep 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article