MicroRNAs Shape Circadian Hepatic Gene Expression on a Transcriptome-Wide Scale
Transcriptomics Dataset
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General Information
AccessionGSE57313
TitleMicroRNAs Shape Circadian Hepatic Gene Expression on a Transcriptome-Wide Scale
DescriptionIntroduction: A considerable proportion of mammalian gene expression undergoes circadian oscillations. Post-transcriptional mechanisms likely make important contributions to mRNA abundance rhythms. Aim: We have investigated how microRNAs contribute to core clock and clock-controlled gene expression using mice in which microRNA biogenesis can be inactivated in the liver. Results: While the hepatic core clock was surprisingly resilient to microRNA loss, whole transcriptome sequencing uncovered widespread effects on clock ouput gene expression. Cyclic transcription paired with microRNA-mediated regulation was thus identified as a widespread phenomenon that affected up to 30%% of the rhythmic transcriptome and served to post-transcriptionally adjust the phases and amplitudes of rhythmic mRNA accumulation. However, only a few mRNA rhythms were actually generated by microRNAs. Finally, we pinpoint several microRNAs predicted to act as modulators of rhythmic transcripts, and identify rhythmic pathways particularly prone to microRNA regulation. Conclusion: Our study provides a comprehensive analysis of miRNA activity in shaping hepatic circadian gene expression and can serve as a valuable resource for further investigations into the regulatory roles that miRNAs play in liver gene expression and physiology.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57313
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE57313
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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