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A statistically inferred microRNA network identifies breast cancer target miR-940 as an actin cytoskeleton regulator

Authors: Bhajun, Ricky; Guyon, Laurent; Pitaval, Amandine; Sulpice, Eric; Combe, Stéphanie; Obeid, Patricia; Haguet, Vincent; +3 Authors

A statistically inferred microRNA network identifies breast cancer target miR-940 as an actin cytoskeleton regulator

Abstract

AbstractMiRNAs are key regulators of gene expression. By binding to many genes, they create a complex network of gene co-regulation. Here, using a network-based approach, we identified miRNA hub groups by their close connections and common targets. In one cluster containing three miRNAs, miR-612, miR-661 and miR-940, the annotated functions of the co-regulated genes suggested a role in small GTPase signalling. Although the three members of this cluster targeted the same subset of predicted genes, we showed that their overexpression impacted cell fates differently. miR-661 demonstrated enhanced phosphorylation of myosin II and an increase in cell invasion, indicating a possible oncogenic miRNA. On the contrary, miR-612 and miR-940 inhibit phosphorylation of myosin II and cell invasion. Finally, expression profiling in human breast tissues showed that miR-940 was consistently downregulated in breast cancer tissues

Country
France
Keywords

570, Kinase, Mesenchymal Transition, Cells, 610, Gene-Expression, Breast Neoplasms, Discovery, Article, Cell Movement, Humans, Disease, Gene Regulatory Networks, Biology, Cellular Senescence, Cell Proliferation, Monomeric GTP-Binding Proteins, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Gene Expression Profiling, Computational Biology, Molecular Sequence Annotation, Animal Development, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Gene Expression Regulation, Neoplastic, Actin Cytoskeleton, MicroRNAs, Gene Ontology, Female, Prediction, Databases, Nucleic Acid, Signal Transduction

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
Green
gold
Related to Research communities
Cancer Research