GeneRulor HPV Capture Kit

1. Product Description

Human papillomavirus (HPV) is a virus that seriously endangers human health, with a large number of people infected worldwide. In China, HPV infection is closely related to the incidence of cervical cancer. Currently, the widely used clinical HPV detection methods aremainly based on PCR (Polymerase Chain Reaction) technology for HPV genotyping and quantification, but they cannot provide key information regarding HPV genome integration. To meet clinical and research needs, GeneRulor HPV Capture Kit is developed using independently innovated long DNA probes. Based on aliquid-phase hybridization system, it enables highly specific and sensitive capture and enrichment of HPV, allowing comprehensive analysis of HPV genome integration information.

2. Applications

(1) Accurate Genotyping: This kit covers all currently known HPV genotypes and can accurately identify different HPV subtypes, supporting more precise analysis and diagnosis for researchers and clinicians.

(2) Viral Load Assessment: By comparison with housekeeping genes, the kit can evaluate HPV viral load. This is critical for disease monitoring and therapeutic efficacy evaluation, providing a basis for treatment decision‑making.

(3) Integration Determination: The kit can detect human‑HPV fusion reads, thereby determining whether HPV integration has occurred. This is key information for understanding the pathogenesis of HPV‑related diseases.

(4) Integration Site Detection: By analyzing detected human‑HPV sequences and aligning them with the reference genome, the kit can identify integration sites. This facilitates in‑depth research on the impact of HPV integration on the host genome and further elucidates disease mechanisms.

References

[1] Tian, R. et al. Risk stratification of cervical lesions using capture sequencing and machine learning method based on HPV and human integrated genomic profiles. Carcinogenesis 40, 1220-1228, doi:10.1093/carcin/bgz094 (2019).

[2] Wu, C. et al. DeepHBV: a deep learning model to predict hepatitis B virus (HBV) integration sites. BMC Ecol Evol 21, 138, doi:10.1186/s12862-021-01869-8 (2021).