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通过依赖模板的多次置换扩增进行 Illumina 测序的环状 RNA 分析。

Circular RNA Profiling by Illumina Sequencing via Template-Dependent Multiple Displacement Amplification.

机构信息

Department of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021, Tamil Nadu, India.

Division of Gastroenterology and Hepatology, Saint Louis University Liver Center, Saint Louis University, St. Louis, MO 63110, USA.

出版信息

Biomed Res Int. 2019 Jan 28;2019:2756516. doi: 10.1155/2019/2756516. eCollection 2019.

Abstract

Circular RNAs (circRNAs) are newly discovered incipient non-coding RNAs with potential roles in disease progression in living organisms. Significant reports, since their inception, highlight the abundance and putative functional roles of circRNAs in every organism checked for, like , , human, and mouse. CircRNA expression is generally less than their linear mRNA counterparts which fairly explains the competitive edge of canonical splicing over non-canonical splicing. However, existing methods may not be sensitive enough for the discovery of low-level expressed circRNAs. By combining template-dependent multiple displacement amplification (tdMDA), Illumina sequencing, and bioinformatics tools, we have developed an experimental protocol that is able to detect 1,875 novel and known circRNAs from . The same method also revealed 9,242 putative circRNAs in less than 40 million reads for the first time from the whose genome has not been fully annotated. Supported by the PCR-based validation and Sanger sequencing of selective circRNAs, our method represents a valuable tool in profiling circRNAs from the organisms with or without genome annotation.

摘要

环状 RNA(circRNA)是新发现的内源性非编码 RNA,在生物的疾病进展中具有潜在作用。自成立以来,大量的重要报告强调了 circRNA 在每一种被检测的生物体中的丰富性和潜在的功能作用,如人类和小鼠。circRNA 的表达通常低于其线性 mRNA 对应物,这很好地解释了规范剪接相对于非规范剪接的竞争优势。然而,现有的方法可能不够灵敏,无法发现低水平表达的 circRNA。通过结合模板依赖性多次置换扩增(tdMDA)、Illumina 测序和生物信息学工具,我们开发了一种实验方案,能够从 中检测到 1875 个新的和已知的 circRNA。该方法还首次从尚未完全注释基因组的 中不到 4000 万个读数中发现了 9242 个假定的 circRNA。通过基于 PCR 的选择性 circRNA 验证和 Sanger 测序的支持,我们的方法为具有或不具有基因组注释的生物体中的 circRNA 图谱提供了有价值的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9976/6369502/f693047edb18/BMRI2019-2756516.001.jpg

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