Genetic variability and phylogenetic analysis of the long control region in human papillomavirus types 18 and 51 from central China

This study describes the genetic variations of the LCR of HPV-18 and HPV-51 in central China, which may disrupt binding sites of transcription factors. It provides important insights into the evolutionary characteristics and potential carcinogenic mechanisms of HPV in Central China.

Authors

Institutions

Publication Details

Journal
Virology Journal
Published
2025-10-29
DOI
https://doi.org/10.1186/s12985-025-02967-5
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic variability and phylogenetic analysis of the long control region in human papillomavirus types 18 and 51 from central China

Sutong Wang, Kun Qin, Ping Luo, Shun Liu et al.
Virology Journal
Cervical Cancer and HPV Research
article

Genetic variability and phylogenetic analysis of the long control region in human papillomavirus types 18 and 51 from central China

Sutong Wang, Kun Qin, Ping Luo, Shun Liu, Zicong Lin, Ting Li, Yang Yang, Bing Mei, Yingmiao Wu
article en

Abstract

This study describes the genetic variations of the LCR of HPV-18 and HPV-51 in central China, which may disrupt binding sites of transcription factors. It provides important insights into the evolutionary characteristics and potential carcinogenic mechanisms of HPV in Central China.

Virology JournalVol. 22(1)
Yangtze University (CN)
Openalex Percentile: Top 58%
Cervical Cancer and HPV Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.