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简化的禽源和猪源流感病毒cDNA扩增样本制备:煮沸法与传统RNA提取法对比

Sample preparation for avian and porcine influenza virus cDNA amplification simplified: Boiling vs. conventional RNA extraction.

作者信息

Fereidouni Sasan R, Starick Elke, Ziller Mario, Harder Timm C, Unger Hermann, Hamilton Keith, Globig Anja

机构信息

Friedrich-Loeffler-Institute (FLI), Insel Riems, Germany.

Friedrich-Loeffler-Institute (FLI), Insel Riems, Germany.

出版信息

J Virol Methods. 2015 Sep 1;221:62-7. doi: 10.1016/j.jviromet.2015.04.021. Epub 2015 Apr 27.

Abstract

RNA extraction and purification is a fundamental step that allows for highly sensitive amplification of specific RNA targets in PCR applications. However, commercial extraction kits that are broadly used because of their robustness and high yield of purified RNA are expensive and labor-intensive. In this study, boiling in distilled water or a commercial lysis buffer of different sample matrices containing avian or porcine influenza viruses was tested as an alternative. Real-time PCR (RTqPCR) for nucleoprotein gene fragment was used as read out. Results were compared with freshly extracted RNA by use of a commercial extraction kit. Different batches of virus containing materials, including diluted virus positive allantoic fluid or cell culture supernatant, and avian faecal, cloacal or oropharyngeal swab samples were used in this study. Simple boiling of samples without any additional purification steps can be used as an alternative RNA preparation method to detect influenza A virus nucleoprotein RNA in oropharyngeal swab samples, allantoic fluid or cell-culture supernatant. The boiling method is not applicable for sample matrices containing faecal material.

摘要

RNA提取和纯化是一个基本步骤,它能在PCR应用中实现对特定RNA靶标的高灵敏度扩增。然而,由于其稳健性和纯化RNA的高产量而被广泛使用的商业提取试剂盒价格昂贵且 labor-intensive。在本研究中,测试了在含有禽流感或猪流感病毒的不同样品基质的蒸馏水或商业裂解缓冲液中煮沸作为一种替代方法。使用针对核蛋白基因片段的实时PCR(RTqPCR)作为读数。通过使用商业提取试剂盒,将结果与新鲜提取的RNA进行比较。本研究使用了不同批次的含病毒材料,包括稀释的病毒阳性尿囊液或细胞培养上清液,以及禽粪便、泄殖腔或口咽拭子样本。无需任何额外纯化步骤的简单样品煮沸可作为一种替代RNA制备方法,用于检测口咽拭子样本、尿囊液或细胞培养上清液中的甲型流感病毒核蛋白RNA。煮沸法不适用于含有粪便物质的样品基质。

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