Toward the integration of mate pair and RNA sequencing to identify gene fusions in cancer research: a mini review

Carlos P. Sosa, Daniel N. Sosa, G. Vasmatzis
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Abstract

Mate pair (MPseq) and RNA sequencing (RNAseq) are important next-generation sequencing (NGS) techniques that are utilized to provide insight into tumorigenesis. Currently, MPseq is being successfully utilized in the clinic to predict chromosomal rearrangements while RNAseq is extensively used in the identification of gene expression, transcript expression and fusion detection. One of the strengths of MPseq is the fact that the fragments are longer than conventional pair-end fragments. This provides better coverage of genomic events such as structural variations. Fusions are structural rearrangements where there is an exchange of DNA sequences between genes. These kind of chromosomal rearrangements have great clinical importance. They are considered important biomarkers in neoplasia as well as therapeutic targets. However, as previously reported, fusion prediction tends to be difficult. This has been attributed to the large number of false positives due to sequencing errors. There are other factors such as poor alignment, library preparation, and insufficient depth of coverage. In addition, fusion predictions based purely on DNA technologies do not include gene expression information. Although, multiple software packages have been developed for fusions prediction, in many cases a consensus approach is required to eliminate false positives. MPseq’s capabilities to detect genomic structural rearrangements can provide an unbiased orthogonal approach to predicting fusions when combined with RNAseq. In this mini-review we explore the benefits of MPseq and RNAseq as two complementary tools in the prediction of gene fusions.
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结合配偶对和RNA测序来鉴定癌症研究中的基因融合:一个小综述
配对对(MPseq)和RNA测序(RNAseq)是重要的下一代测序(NGS)技术,用于深入了解肿瘤发生。目前MPseq已成功应用于临床预测染色体重排,RNAseq广泛应用于基因表达鉴定、转录物表达及融合检测。MPseq的优势之一是片段比传统的对端片段长。这为诸如结构变异之类的基因组事件提供了更好的覆盖。融合是基因间DNA序列交换的结构重排。这类染色体重排具有重要的临床意义。它们被认为是肿瘤的重要生物标志物和治疗靶点。然而,正如先前报道的那样,融合预测往往是困难的。这是由于测序错误导致的大量假阳性。还有其他因素,如排列不良、库准备和覆盖深度不足。此外,纯粹基于DNA技术的融合预测不包括基因表达信息。尽管已经开发了多个用于融合预测的软件包,但在许多情况下,需要一致的方法来消除误报。MPseq检测基因组结构重排的能力可以提供一种无偏的正交方法来预测与RNAseq结合时的融合。在这篇综述中,我们探讨了MPseq和RNAseq作为预测基因融合的两种互补工具的好处。
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