Cui Xiaofang, Li Yiyan, Zhang Chuanpeng, Qi Yanwei, Sun Yuhui, Li Weiyang
Jining Medical University, Jining, Shandong, China.
Department of Bioinformatics, School of Biological Science, Jining Medical University, Rizhao, Shandong, China.
Front Microbiol. 2023 Dec 15;14:1294146. doi: 10.3389/fmicb.2023.1294146. eCollection 2023.
The integration of human papillomavirus (HPV) is closely related to the occurrence of cervical cancer. However, little is known about the complete state of HPV integration into the host genome.
In this study, three HPV-positive cell lines, HeLa, SiHa, and CaSki, were subjected to NANOPORE long-read sequencing to detect HPV integration. Analysis of viral integration patterns using independently developed software (HPV-TSD) yielded multiple complete integration patterns for the three HPV cell lines.
We found distinct differences between the integration patterns of HPV18 and HPV16. Furthermore, the integration characteristics of the viruses were significantly different, even though they all belonged to HPV16 integration. The HPV integration in the CaSki cells was relatively complex. The HPV18 integration status in HeLa cells was the dominant, whereas the percentage of integrated HPV 16 in SiHa and CaSki cells was significantly lower. In addition, the virus sequences in the HeLa cells were incomplete and existed in an integrated state. We also identified a large number of tandem repeats in HPV16 and HPV18 integration. Our study not only clarified the feasibility of high-throughput long-read sequencing in the study of HPV integration, but also explored a variety of HPV integration models, and confirmed that viral integration is an important form of HPV in cell lines.
Elucidating HPV integration patterns will provide critical guidance for developing a detection algorithm for HPV integration, as well as the application of virus integration in clinical practice and drug research and development.
人乳头瘤病毒(HPV)整合与宫颈癌的发生密切相关。然而,关于HPV整合到宿主基因组中的完整状态知之甚少。
在本研究中,对三种HPV阳性细胞系HeLa、SiHa和CaSki进行纳米孔长读长测序以检测HPV整合。使用自主开发的软件(HPV-TSD)分析病毒整合模式,得出了三种HPV细胞系的多种完整整合模式。
我们发现HPV18和HPV16的整合模式存在明显差异。此外,尽管它们都属于HPV16整合,但病毒的整合特征也存在显著差异。CaSki细胞中的HPV整合相对复杂。HeLa细胞中HPV18的整合状态占主导,而SiHa和CaSki细胞中整合的HPV16百分比明显较低。此外,HeLa细胞中的病毒序列不完整且以整合状态存在。我们还在HPV16和HPV18整合中鉴定出大量串联重复序列。我们的研究不仅阐明了高通量长读长测序在HPV整合研究中的可行性,还探索了多种HPV整合模式,并证实病毒整合是HPV在细胞系中的一种重要形式。
阐明HPV整合模式将为开发HPV整合检测算法以及病毒整合在临床实践和药物研发中的应用提供关键指导。