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DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples

机译:组织病理学样品下一代测序的DNA鉴定工作流程

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摘要

Histopathological samples are a treasure-trove of DNA for clinical research. However, the quality of DNA can vary depending on the source or extraction method applied. Thus a standardized and cost-effective workflow for the qualification of DNA preparations is essential to guarantee interlaboratory reproducible results. The qualification process consists of the quantification of double strand DNA (dsDNA) and the assessment of its suitability for downstream applications, such as high-throughput next-generation sequencing. We tested the two most frequently used instrumentations to define their role in this process: NanoDrop, based on UV spectroscopy, and Qubit 2.0, which uses fluorochromes specifically binding dsDNA. Quantitative PCR (qPCR) was used as the reference technique as it simultaneously assesses DNA concentration and suitability for PCR amplification. We used 17 genomic DNAs from 6 fresh-frozen (FF) tissues, 6 formalin-fixed paraffin-embedded (FFPE) tissues, 3 cell lines, and 2 commercial preparations. Intra- and inter-operator variability was negligible, and intra-methodology variability was minimal, while consistent inter-methodology divergences were observed. In fact, NanoDrop measured DNA concentrations higher than Qubit and its consistency with dsDNA quantification by qPCR was limited to high molecular weight DNA from FF samples and cell lines, where total DNA and dsDNA quantity virtually coincide. In partially degraded DNA from FFPE samples, only Qubit proved highly reproducible and consistent with qPCR measurements. Multiplex PCR amplifying 191 regions of 46 cancer-related genes was designated the downstream application, using 40 ng dsDNA from FFPE samples calculated by Qubit. All but one sample produced amplicon libraries suitable for next-generation sequencing. NanoDrop UV-spectrum verified contamination of the unsuccessful sample. In conclusion, as qPCR has high costs and is labor intensive, an alternative effective standard workflow for qualification of DNA preparations should include the sequential combination of NanoDrop and Qubit to assess the purity and quantity of dsDNA, respectively.
机译:组织病理学样品是用于临床研究的DNA的宝库。但是,DNA的质量可能会有所不同,具体取决于所使用的来源或提取方法。因此,DNA鉴定合格的标准化且具有成本效益的工作流程对于保证实验室间可重复的结果至关重要。鉴定过程包括双链DNA(dsDNA)的定量及其对下游应用(如高通量下一代测序)的适用性评估。我们测试了两种最常用的仪器来定义它们在该过程中的作用:基于UV光谱的NanoDrop和使用特异性结合dsDNA的荧光染料的Qubit 2.0。定量PCR(qPCR)被用作参考技术,因为它可以同时评估DNA浓度和PCR扩增的适用性。我们使用了来自6个新鲜冷冻(FF)组织,6个福尔马林固定石蜡包埋(FFPE)组织,3个细胞系和2个商业制剂的17个基因组DNA。运营商内部和运营商之间的差异可忽略不计,而方法内部的差异则最小,同时观察到一致的方法间差异。实际上,NanoDrop测得的DNA浓度高于Qubit,并且其与qPCR定量dsDNA的一致性仅限于FF样品和细胞系中的高分子量DNA,而总DNA和dsDNA的数量实际上是一致的。在FFPE样品中部分降解的DNA中,只有Qubit被证明具有很高的重现性,并且与qPCR测量结果一致。使用Qubit计算的FFPE样品中的40 ng dsDNA,将扩增46个与癌症相关基因的191个区域的多重PCR指定为下游应用。除一个样品外,所有样品均产生了适用于下一代测序的扩增子文库。 NanoDrop紫外光谱验证了未成功样品的污染。总之,由于qPCR成本高且劳动强度大,因此用于DNA鉴定的另一种有效标准流程应包括NanoDrop和Qubit的顺序组合,以分别评估dsDNA的纯度和数量。

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