在长时间读取的RNA测序数据中识别和量化小的含有外子子的异型
Zhen Liu1,2, Chenchen Zhu3, Lars M Steinmetz3,4
1Lingang Laboratory, Shanghai, Shanghai 200031, China.
Nucleic acids research
|October 16, 2023
概括
我们开发了MisER,这是一种新方法,可以在长时间读取的RNA测序数据中准确量化小外子. 这种工具有助于分析涉及微外显子的基因调节,特别是在神经组织中.
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:
- 小型外子,包括微外子 (≤30个核酸),在基因转录组中很常见,对基因功能至关重要.
- 使用牛津纳米孔技术 (ONT) 的长读RNA测序 (RNA-seq) 提供了完整的转录覆盖,但由于基准精度较低,在准确量化小异构体方面面临挑战.
- 含有小异构体的错位读取可能导致不准确的转录量化.
研究的目的:
- 开发和验证一种计算方法,以提高ONT长时间读取的RNA-seq数据中的小外子的量化.
- 为了评估 misaligned 读数对小 exon 量化的影响.
- 识别新的神经特异性微子和了解它们的调节作用.
主要方法:
- 使用合成和人类ONT RNA-seq数据集对小型外子子量化的系统评估.
- 开发MisER (不对齐的外显子重映射器),一种局部调整方法来纠正含有小外显子的不对齐的读数.
- 使用合成和模拟数据集验证MisER的敏感性和特异性.
- 在14个神经和16个非神经人体组织中比较微埃克森百分比拼接 (PSI) 指数.
主要成果:
- 含有小外子的读数在标准ONTRNA-seq分析中经常错位,从而损害了转录量化.
- MisER有效地重新映射了错位的读数,证明了高灵敏度和特异性,用于量化具有小外型子的转录.
- 与非神经组织相比,MisER发现神经组织中微子子的百分比拼接 (PSI) 指数高于非神经组织中的微子子,突出了神经特异性的微子子调节.
- 该方法有助于发现功能相关的小外体.
结论:
- MisER显著提高了从ONT长时间读取的RNA-seq数据中小外子量化的准确性.
- 这一进步对于研究涉及小微子的基因调节至关重要,特别是在神经生物学中.
- 这些发现为研究人员研究转录异形变异及其功能影响,特别是神经发育和功能的研究提供了宝贵的工具.
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