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Related Concept Videos

MicroRNAs01:22

MicroRNAs

3.4K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Related Experiment Video

Updated: Nov 23, 2025

mirMachine: A One-Stop Shop for Plant miRNA Annotation
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mirMachine: A One-Stop Shop for Plant miRNA Annotation

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miRCoop: Identifying Cooperating miRNAs via Kernel Based Interaction Tests.

Gulden Olgun, Oznur Tastan

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |December 31, 2020
    PubMed
    Summary
    This summary is machine-generated.

    We developed miRCoop, a computational tool to find synergistic microRNA (miRNA) pairs that strongly regulate gene targets together. This method enhances understanding of gene regulation and aids in developing novel miRNA-based therapies.

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    Area of Science:

    • Genomics
    • Molecular Biology
    • Bioinformatics

    Background:

    • Single microRNAs (miRNAs) exhibit limited gene repression.
    • miRNA cooperativity is a key mechanism for potent gene regulation.
    • Identifying synergistic miRNA interactions is crucial for therapeutic development.

    Purpose of the Study:

    • To develop a computational method, miRCoop, for identifying synergistic miRNA pairs.
    • To analyze miRNA cooperativity in cancer patient data.
    • To advance the development of miRNA-based therapeutics.

    Main Methods:

    • Utilized kernel-based statistical interaction tests.
    • Integrated miRNA and mRNA target information.
    • Applied the miRCoop approach to kidney and liver cancer patient data.

    Main Results:

    • Identified 66 synergistic miRNA triplets in kidney cancer, with 64 linked to common transcription factors.
    • Discovered 3105 potential synergistic miRNA triplets in liver cancer data.
    • Found enriched biological processes relevant to kidney cancer among identified triplets.

    Conclusions:

    • miRCoop effectively identifies synergistic miRNA interactions.
    • The findings support functional associations among co-regulated miRNAs.
    • miRCoop offers a valuable tool for understanding cellular regulation and designing miRNA therapies.