Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression


ABSTRACT: MicroRNAs are small non-coding molecules that have been shown to repress the translation of thousands of genes. Changes in microRNA expression in a variety of diseases, including cancer, are leading to the development of microRNAs as early indicators of disease, and to their potential use as therapeutic agents. A significant hurdle to the use of microRNAs as therapeutics is our inability to predict the molecular and cellular consequences of perturbations in the levels of specific microRNAs on targeted cells. While the direct gene (mRNA) targets of individual microRNAs can be computationally predicted and are often experimentally validated, assessing the indirect effects of microRNA variation remains a major challenge in molecular systems biology. We present experimental evidence for a comp

ORGANISM(S): Homo sapiens

SUBMITTER: Christopher Hill 

PROVIDER: E-GEOD-52037 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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