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Updated: Jun 11, 2025

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

精细地图的RNA异形多样性使用一个创新的向长读RNA测序协议与新的专用生物信息学管道

Camille Aucouturier^1,2,3, Nicolas Soirat^1,2,4, Laurent Castéra^1,2

¹Laboratoire de biologie et de génétique du cancer, Département de Biopathologie, Centre François Baclesse, Caen, 14000, France.

|September 30, 2024

概括

这项研究引入了一种新的向RNA丰富方法和SOSTAR管道用于长读测序. 这种方法增强了对低表达基因的研究,并确定了新的转录,有助于诊断遗传性癌症.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

解决mRNA转录结构对于研究和诊断至关重要.
短读测序和RT-PCR在探索转录复杂性方面存在局限性.
长读测序提供了直接的测序解决方案,但与低表达基因作斗争.

研究的目的:

开发一种新的有针对性的丰富方法,用于捕获低表达率的转录,用于长读序列.
创建一个生物信息学管道 (SOSTAR) 来从长时间读取的数据中组装,量化和注释异型.
将这种方法应用于涉及遗传性乳腺和卵巢癌综合征的基因.

主要方法:

设计了用于基因组的向转录丰富的探针.
利用太平洋生物科学和牛津纳米孔技术的长读测序平台.
开发了用于数据分析的SOSTAR (iSofOrmS annoTAtoR) 管道.

主要成果:

从8名患者的基因组中确定了1231个独特的转录.
带有单基分辨率的注释转录结构,包括复杂的拼接事件,如伪exons.
在阳性对照中成功识别了异常的转录,并通过检测BRCA1.1中的SVA逆转移体,解决了无法解释的遗传病例.

结论:

为ONT和PacBio平台验证了一个新的转录丰富协议.
该协议可以在单个实验中对替代的转录结构,表达水平和异常转录进行全面分析.
这种方法扩大了RNA结构在研究和分子诊断中的探索可能性.

关键词:

自动注释自动注释在 HBOC HBOC HBOC 一个异形组件组件.长阅读序列的测序通过RNA拼接进行RNA拼接.

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