Endogenous miRNA and target concentrations determine susceptibility to potential ceRNA competition, based on hierarchical binding affinities (mRNA)
Transcriptomics Dataset
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General Information
AccessionGSE61346
TitleEndogenous miRNA and target concentrations determine susceptibility to potential ceRNA competition, based on hierarchical binding affinities (mRNA)
DescriptionTarget competition (ceRNA crosstalk) within miRNA-regulated gene networks has been proposed to influence biological systems. To assess target competition, we characterize and quantitate miRNA networks in two cell types. Argonaute iCLIP reveals that hierarchical binding of high to low affinity miRNA targets is a key characteristic of in vivo activity. Quantification of cellular miRNA and mRNA/ncRNA target pool levels indicates that miRNA-Target pool ratios and an affinity partitioned target pool accurately predict in vivo Ago binding profiles and miRNA susceptibility to target competition. Using single-cell reporters, we directly test predictions and estimate ~3,000 additional high affinity target sites can affect active miRNA families with low endogenous miRNA-Target ratios, such as miR-92/25. In contrast, the highly expressed miR-294 and let-7 families are not susceptible to increases of nearly 10,000 sites. These results show differential susceptibility based on endogenous miRNA-Target pool ratios and provide a physiological context for ceRNA competition in vivo.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61346
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
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
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE61346
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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