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将 SureSelect 富集方案适配到 Ion Torrent S5 平台,用于颅缝早闭症的分子诊断。

Adapting SureSelect enrichment protocol to the Ion Torrent S5 platform in molecular diagnostics of craniosynostosis.

机构信息

Department of Medical Genetics, Poznan University of Medical Sciences, Rokietnicka 8 Street, 60-806, Poznan, Poland.

Postgraduate School of Molecular Medicine, Medical University of Warsaw, Żwirki i Wigury 61 Street, 02-091, Warsaw, Poland.

出版信息

Sci Rep. 2020 Mar 5;10(1):4159. doi: 10.1038/s41598-020-61048-5.

Abstract

Obtaining reliable and high fidelity next-generation sequencing (NGS) data requires to choose a suitable sequencing platform and a library preparation approach, which both have their inherent assay-specific limitations. Here, we present the results of successful adaptation of SureSelect hybridisation-based target enrichment protocol for the sequencing on the Ion Torrent S5 platform, which is designed to work preferably with amplicon-based panels. In our study, we applied a custom NGS panel to screen a cohort of 16 unrelated patients affected by premature fusion of the cranial sutures, i.e. craniosynostosis (CS). CS occurs either as an isolated malformation or in a syndromic form, representing a genetically heterogeneous and clinically variable group of disorders. The approach presented here allowed us to achieve high quality NGS data and confirmed molecular diagnosis in 19% of cases, reaching the diagnostic yield similar to some of the published research reports. In conclusion, we demonstrated that an alternative enrichment strategy for library preparations can be successfully applied prior to sequencing on the Ion Torrent S5 platform. Also, we proved that the custom NGS panel designed by us represents a useful and effective tool in the molecular diagnostics of patients with CS.

摘要

获得可靠且高保真度的下一代测序 (NGS) 数据需要选择合适的测序平台和文库制备方法,这两者都有其固有的检测特异性限制。在这里,我们介绍了成功适应 SureSelect 杂交为目标富集协议的结果,用于在 Ion Torrent S5 平台上测序,该平台旨在与基于扩增子的面板配合使用。在我们的研究中,我们应用了定制的 NGS 面板来筛选 16 名无关的颅骨缝过早融合(颅缝早闭,CS)患者的队列。CS 要么是孤立的畸形,要么是综合征形式,代表一组遗传异质性和临床表现多样化的疾病。这里提出的方法使我们能够获得高质量的 NGS 数据,并在 19%的病例中确认了分子诊断,达到了与一些已发表的研究报告相似的诊断率。总之,我们证明了在 Ion Torrent S5 平台上测序之前,可以成功应用替代的文库制备富集策略。此外,我们证明了我们设计的定制 NGS 面板是 CS 患者分子诊断的有用且有效的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0906/7058001/b85f359aa992/41598_2020_61048_Fig1_HTML.jpg

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