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拼接合成基因作为 RNA 测序实验中的内参。

Spliced synthetic genes as internal controls in RNA sequencing experiments.

机构信息

Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.

St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.

出版信息

Nat Methods. 2016 Sep;13(9):792-8. doi: 10.1038/nmeth.3958. Epub 2016 Aug 8.

Abstract

RNA sequencing (RNA-seq) can be used to assemble spliced isoforms, quantify expressed genes and provide a global profile of the transcriptome. However, the size and diversity of the transcriptome, the wide dynamic range in gene expression and inherent technical biases confound RNA-seq analysis. We have developed a set of spike-in RNA standards, termed 'sequins' (sequencing spike-ins), that represent full-length spliced mRNA isoforms. Sequins have an entirely artificial sequence with no homology to natural reference genomes, but they align to gene loci encoded on an artificial in silico chromosome. The combination of multiple sequins across a range of concentrations emulates alternative splicing and differential gene expression, and it provides scaling factors for normalization between samples. We demonstrate the use of sequins in RNA-seq experiments to measure sample-specific biases and determine the limits of reliable transcript assembly and quantification in accompanying human RNA samples. In addition, we have designed a complementary set of sequins that represent fusion genes arising from rearrangements of the in silico chromosome to aid in cancer diagnosis. RNA sequins provide a qualitative and quantitative reference with which to navigate the complexity of the human transcriptome.

摘要

RNA 测序(RNA-seq)可用于组装拼接体、定量表达基因并提供转录组的全局图谱。然而,转录组的大小和多样性、基因表达的宽动态范围以及内在的技术偏差使 RNA-seq 分析变得复杂。我们开发了一组称为“sequins”(测序 Spike-ins)的 Spike-in RNA 标准品,它们代表全长拼接的 mRNA 异构体。Sequins 具有完全人工的序列,与天然参考基因组没有同源性,但它们与人工合成染色体上编码的基因座对齐。在一系列浓度下使用多个 sequins 可以模拟可变剪接和差异基因表达,并为样品之间的归一化提供缩放因子。我们展示了在 RNA-seq 实验中使用 sequins 来测量样品特异性偏差,并确定在伴随的人类 RNA 样品中可靠转录组装和定量的限制。此外,我们设计了一组补充的 sequins,它们代表来自人工合成染色体重排的融合基因,以帮助癌症诊断。RNA sequins 提供了一种定性和定量的参考,可帮助我们理解人类转录组的复杂性。

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