{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wen J"],"funding":["Novo Nordisk Fonden","Lundbeck Foundation"],"pagination":["6207-21"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4513874"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["43(13)"],"pubmed_abstract":["We report a high-resolution time series study of transcriptome dynamics following antimiR-mediated inhibition of miR-9 in a Hodgkin lymphoma cell-line-the first such dynamic study of the microRNA inhibition response-revealing both general and specific aspects of the physiological response. We show miR-9 inhibition inducing a multiphasic transcriptome response, with a direct target perturbation before 4 h, earlier than previously reported, amplified by a downstream peak at ∼32 h consistent with an indirect response due to secondary coherent regulation. Predictive modelling indicates a major role for miR-9 in post-transcriptional control of RNA processing and RNA binding protein regulation. Cluster analysis identifies multiple co-regulated gene regulatory modules. Functionally, we observe a "],"journal":["Nucleic acids research"],"pubmed_title":["Transcriptome dynamics of the microRNA inhibition response."],"pmcid":["PMC4513874"],"funding_grant_id":["R100-2011-8756","NNF13OC0006395","NNF14SA0011351","R151-2013-14476"],"pubmed_authors":["Krogh A","Wen J","Kauppinen S","Lund AH","Parker BJ","Leucci E","Vendramin R"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptome dynamics of the microRNA inhibition response.","description":"We report a high-resolution time series study of transcriptome dynamics following antimiR-mediated inhibition of miR-9 in a Hodgkin lymphoma cell-line-the first such dynamic study of the microRNA inhibition response-revealing both general and specific aspects of the physiological response. We show miR-9 inhibition inducing a multiphasic transcriptome response, with a direct target perturbation before 4 h, earlier than previously reported, amplified by a downstream peak at ∼32 h consistent with an indirect response due to secondary coherent regulation. Predictive modelling indicates a major role for miR-9 in post-transcriptional control of RNA processing and RNA binding protein regulation. Cluster analysis identifies multiple co-regulated gene regulatory modules. Functionally, we observe a ","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015 Jul","modification":"2026-05-02T11:31:25.379Z","creation":"2019-03-27T01:55:47Z"},"accession":"S-EPMC4513874","cross_references":{"pubmed":["26089393"],"doi":["10.1093/nar/gkv603"]}}