Proteomic-based screening of miRNAs metabolic pathway targeting.
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).
Arrigo
Patrizio
P
CNR Institute for Macromolecular Studies (ISMAC), Genova, Italy. arrigo@ge.ismac.cnr.it
Cardo
Pasquale P
PP
Izzotti
Alberto
A
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
D015415:Biomarkers; D035683:MicroRNAs; D014028:Tobacco Smoke Pollution