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• W1838268929 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 shift over time from mRNA processing at early time points to translation at later time points. We validate the key observations with independent time series qPCR and we experimentally validate key predicted miR-9 targets. Methodologically, we developed sensitive functional data analytic predictive methods to analyse the weak response inherent in microRNA inhibition experiments. The methods of this study will be applicable to similar high-resolution time series transcriptome analyses and provides the context for more accurate experimental design and interpretation of future microRNA inhibition studies." @default.
• W1838268929 created "2016-06-24" @default.
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• W1838268929 date "2015-06-18" @default.
• W1838268929 modified "2023-10-14" @default.
• W1838268929 title "Transcriptome dynamics of the microRNA inhibition response" @default.
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• W1838268929 doi "https://doi.org/10.1093/nar/gkv603" @default.
• W1838268929 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4872088" @default.
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