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MiRBooking simulates the stoichiometric mode of action of microRNAs.

ABSTRACT: In eucaryotes, gene expression is regulated by microRNAs (miRNAs) which bind to messenger RNAs (mRNAs) and interfere with their translation into proteins, either by promoting their degradation or inducing their repression. We study the effect of miRNA interference on each gene using experimental methods, such as microarrays and RNA-seq at the mRNA level, or luciferase reporter assays and variations of SILAC at the protein level. Alternatively, computational predictions would provide clear benefits. However, no algorithm toward this task has ever been proposed. Here, we introduce a new algorithm to predict genome-wide expression data from initial transcriptome abundance. The algorithm simulates the miRNA and mRNA hybridization competition that occurs in given cellular conditions, and derives the whole set of miRNA::mRNA interactions at equilibrium (microtargetome). Interestingly, solving the competition improves the accuracy of miRNA target predictions. Furthermore, this model implements a previously reported and fundamental property of the microtargetome: the binding between a miRNA and a mRNA depends on their sequence complementarity, but also on the abundance of all RNAs expressed in the cell, i.e. the stoichiometry of all the miRNA sites and all the miRNAs given their respective abundance. This model generalizes the miRNA-induced synchronistic silencing previously observed, and described as sponges and competitive endogenous RNAs.

SUBMITTER: Weill N

PROVIDER: S-EPMC4538818 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

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MiRBooking simulates the stoichiometric mode of action of microRNAs.

Weill Nathanaël N Lisi Véronique V Scott Nicolas N Dallaire Paul P Pelloux Julie J Major François F

Nucleic acids research 20150618 14

In eucaryotes, gene expression is regulated by microRNAs (miRNAs) which bind to messenger RNAs (mRNAs) and interfere with their translation into proteins, either by promoting their degradation or inducing their repression. We study the effect of miRNA interference on each gene using experimental methods, such as microarrays and RNA-seq at the mRNA level, or luciferase reporter assays and variations of SILAC at the protein level. Alternatively, computational predictions would provide clear benefi ...[more]

PMID: 26089388

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Project description:1,4-Dioxane (1,4-DX) is an environmental contaminant found in drinking water throughout the United States (US). While it is a suspected liver carcinogen, there is no federal or state maximum contaminant level for 1,4-DX in drinking water. Very little is known about the mechanisms by which this chemical elicits liver carcinogenicity. In the present study, we performed chronic and short-term dosing studies in female BDF-1 mice to explore the toxic effects of 1,4-DX. Histopathology studies and a multi-omics approach (transcriptomics and metabolomics) were performed to investigate potential mechanisms of toxicity. Mice were exposed to various concentrations of 1,4-DX (0, 50, 500 and 5,000 mg/L) in their drinking water for one or four weeks. Immunohistochemical analysis of the liver revealed an increase in the number of H2AXγ-positive hepatocytes (a marker of DNA double strand breaks) in mice exposed to 5,000 mg/L 1,4-DX for one and four weeks. In addition, an expansion of precholangiocytes was observed after four weeks of 5,000 mg/L 1,4-DX exposure, as reflected by CK-7 immunostaining. An increase in these markers reflect both DNA damage and repair mechanisms. Liver transcriptomics profiling showed that exposure to 5,000 mg/L 1,4-DX for four weeks resulted in the differential expression of 65 genes compared to controls. Pathway analysis of the transcriptomic data revealed 1,4-DX-induced perturbations in multiple signaling pathways in the liver, including those involved in xenobiotic metabolism, nicotine degradation and glutathione-mediated detoxification. Changes to these pathways as a result of 1,4-DX exposure reflect would be predicted to impact the oxidative stress response, detoxification, and DNA damage. Liver, kidney, stool and urine metabolomics profiling revealed no effect of 5,000 mg/L 1,4-DX exposure for one or four weeks on metabolites. We speculate that this may be reflective of DNA damage being counterbalanced by the repair response, with the net result being a null overall effect on the systemic biochemistry of the exposed mice. Our results show a novel approach for the investigation of environmental chemicals that do not elicit cell death, but have activated the repair systems in response to 1,4-DX exposure

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MiRBooking simulates the stoichiometric mode of action of microRNAs.

Publications

MiRBooking simulates the stoichiometric mode of action of microRNAs.

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