Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis.

ABSTRACT: Due to the large number of putative microRNA gene targets predicted by sequence-alignment databases and the relative low accuracy of such predictions which are conducted independently of biological context by design, systematic experimental identification and validation of every functional microRNA target is currently challenging. Consequently, biological studies have yet to identify, on a genome scale, key regulatory networks perturbed by altered microRNA functions in the context of cancer. In this report, we demonstrate for the first time how phenotypic knowledge of inheritable cancer traits and of risk factor loci can be utilized jointly with gene expression analysis to efficiently prioritize deregulated microRNAs for biological characterization. Using this approach we characterize miR-

SUBMITTER: Lee Y 

PROVIDER: S-EPMC2848541 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature