title: Proteomic-based screening of miRNAs metabolic pathway targeting.
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).
authors.affiliation: CNR Institute for Macromolecular Studies (ISMAC), Genova, Italy. arrigo@ge.ismac.cnr.it
authors.forename: Patrizio
authors.initials: P
authors.lastname: Arrigo
authors.forename: Pasquale P
authors.initials: PP
authors.lastname: Cardo
authors.forename: Alberto
authors.initials: A
authors.lastname: Izzotti
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D006801:Humans; D051379:Mice; D035683:MicroRNAs / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D012984:Software; D014028:Tobacco Smoke Pollution / Q000009:adverse effects
chemical_list: D015415:Biomarkers; D035683:MicroRNAs; D014028:Tobacco Smoke Pollution