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人乳头瘤病毒16型基因组的深度测序:一种探索人乳头瘤病毒16型感染致癌性和自然史的新型高通量工具。

Deep sequencing of HPV16 genomes: A new high-throughput tool for exploring the carcinogenicity and natural history of HPV16 infection.

作者信息

Cullen Michael, Boland Joseph F, Schiffman Mark, Zhang Xijun, Wentzensen Nicolas, Yang Qi, Chen Zigui, Yu Kai, Mitchell Jason, Roberson David, Bass Sara, Burdette Laurie, Machado Moara, Ravichandran Sarangan, Luke Brian, Machiela Mitchell J, Andersen Mark, Osentoski Matt, Laptewicz Michael, Wacholder Sholom, Feldman Ashlie, Raine-Bennett Tina, Lorey Thomas, Castle Philip E, Yeager Meredith, Burk Robert D, Mirabello Lisa

机构信息

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA ; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA.

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.

出版信息

Papillomavirus Res. 2015 Dec 1;1:3-11. doi: 10.1016/j.pvr.2015.05.004.

Abstract

For unknown reasons, there is huge variability in risk conferred by different HPV types and, remarkably, strong differences even between closely related variant lineages within each type. HPV16 is a uniquely powerful carcinogenic type, causing approximately half of cervical cancer and most other HPV-related cancers. To permit the large-scale study of HPV genome variability and precancer/cancer, starting with HPV16 and cervical cancer, we developed a high-throughput next-generation sequencing (NGS) whole-genome method. We designed a custom HPV16 AmpliSeq™ panel that generated 47 overlapping amplicons covering 99% of the genome sequenced on the Ion Torrent Proton platform. After validating with Sanger, the current "gold standard" of sequencing, in 89 specimens with concordance of 99.9%, we used our NGS method and custom annotation pipeline to sequence 796 HPV16-positive exfoliated cervical cell specimens. The median completion rate per sample was 98.0%. Our method enabled us to discover novel SNPs, large contiguous deletions suggestive of viral integration (OR of 27.3, 95% CI 3.3-222, =0.002), and the sensitive detection of variant lineage coinfections. This method represents an innovative high-throughput, ultra-deep coverage technique for HPV genomic sequencing, which, in turn, enables the investigation of the role of genetic variation in HPV epidemiology and carcinogenesis.

摘要

由于未知原因,不同HPV类型所带来的风险存在巨大差异,而且值得注意的是,即使在每种类型内密切相关的变异谱系之间也存在显著差异。HPV16是一种独特的高致癌性类型,约导致一半的宫颈癌和大多数其他HPV相关癌症。为了从HPV16和宫颈癌入手,对HPV基因组变异性以及癌前病变/癌症进行大规模研究,我们开发了一种高通量的新一代测序(NGS)全基因组方法。我们设计了一个定制的HPV16 AmpliSeq™ 扩增子组,它产生了47个重叠扩增子,覆盖了在Ion Torrent Proton平台上测序的99%的基因组。在用当前测序的“金标准”桑格测序法对89个样本进行验证,一致性达到99.9%之后,我们使用我们的NGS方法和定制注释流程对796个HPV16阳性的宫颈脱落细胞样本进行测序。每个样本的中位完成率为98.0%。我们的方法使我们能够发现新的单核苷酸多态性(SNP)、提示病毒整合的大片段连续缺失(比值比为27.3,95%置信区间为3.3 - 222,P = 0.002),并能灵敏地检测变异谱系共感染。这种方法代表了一种用于HPV基因组测序的创新型高通量、超深度覆盖技术,进而能够研究基因变异在HPV流行病学和致癌作用中的角色。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f003/5886852/c6273a02177b/gr1.jpg

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