<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8</volume><submitter>Hill CG</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Documented changes in levels of microRNAs (miRNA) in a variety of diseases including cancer are leading to their development as early indicators of disease, and as a potential new class of therapeutic agents. A significant hurdle to the rational application of miRNAs as therapeutics is our current inability to reliably predict the range of molecular and cellular consequences of perturbations in the levels of specific miRNAs on targeted cells. While the direct gene (mRNA) targets of individual miRNAs can be computationally predicted with reasonable degrees of accuracy, reliable predictions of the indirect molecular effects of perturbations in miRNA levels remain a major challenge in molecular systems biology.&lt;h4>Results&lt;/h4>Changes in gene (mRNA) and miRNA expression leve</pubmed_abstract><journal>BMC systems biology</journal><pagination>36</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3987680</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression.</pubmed_title><pmcid>PMC3987680</pmcid><pubmed_authors>Hill CG</pubmed_authors><pubmed_authors>McDonald JF</pubmed_authors><pubmed_authors>Matyunina LV</pubmed_authors><pubmed_authors>Benigno BB</pubmed_authors><pubmed_authors>Walker D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression.</name><description>&lt;h4>Background&lt;/h4>Documented changes in levels of microRNAs (miRNA) in a variety of diseases including cancer are leading to their development as early indicators of disease, and as a potential new class of therapeutic agents. A significant hurdle to the rational application of miRNAs as therapeutics is our current inability to reliably predict the range of molecular and cellular consequences of perturbations in the levels of specific miRNAs on targeted cells. While the direct gene (mRNA) targets of individual miRNAs can be computationally predicted with reasonable degrees of accuracy, reliable predictions of the indirect molecular effects of perturbations in miRNA levels remain a major challenge in molecular systems biology.&lt;h4>Results&lt;/h4>Changes in gene (mRNA) and miRNA expression leve</description><dates><release>2014-01-01T00:00:00Z</release><publication>2014 Mar</publication><modification>2026-04-30T09:36:08.458Z</modification><creation>2019-03-27T01:25:05Z</creation></dates><accession>S-EPMC3987680</accession><cross_references><pubmed>24666724</pubmed><doi>10.1186/1752-0509-8-36</doi></cross_references></HashMap>