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Updated: Jun 5, 2025

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

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Published on: September 28, 2011

对miRNA-3'-未翻译区域调控效应的高通量化

Stephen Mastriano^1,2, Shaveta Kanoria³, William Rennie³

¹Department of Genetics and Yale Stem Cell Center, Yale University, New Haven, CT 06520, USA.

bioRxiv : the preprint server for biology

|December 16, 2024

概括

这项研究引入了一种高通量方法,用于绘制3'未翻译区域 (UTR) 的微RNA (miRNA) 向地图,揭示了无种子区域显著影响基因表达. 开发的定量评分准确地预测了miRNA调节效应,有助于理解基因调节.

科学领域:

分子生物学分子生物学
遗传学是一个遗传学.
生物信息学是一种生物信息学.

背景情况:

微RNAs (miRNAs) 是基因表达的关键转录后调节者.
预测miRNA结合位点及其对信使RNA (mRNA) 的调节影响仍然具有挑战性.
现有的方法往往在高通量,可靠评估全长3'UTR调节方面扎.

研究的目的:

为评估miRNA:3' UTR相互作用开发一种高通量报告测定.
创建一个全面的miRNA介导基因调节的实验数据集.
开发一种定量评分,用于预测miRNAs对3' UTRs的总调节效应.

主要方法:

使用小型化,高通量记者试验进行对对miRNA:3' UTR分析.
从461个miRNA和11个3' UTR中生成了一个由4994个调节输出组成的数据集.
开发了整合种子和无种子miRNA结合位点效应的定量总得分.

主要成果:

在单个平台上建立了一个大型实验miRNA:3' UTR数据集.
证明无种子miRNA结合部位可以导致大量的基因下调.
验证了定量得分的能力,以区分强大的和弱的miRNA抑制.

结论:

开发的方法为研究miRNA调节提供了一个强大的平台.
定量得分可以准确预测miRNA调节效率.
调查结果和得分被整合到Sfold包中的STarMir计划中.

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相关概念视频

MicroRNAs

MicroRNAs

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...