Rapid identification of multi-strain HBV infection in patient by high-throughput DNA sequencing  

作　　者：Yongchang Zheng Masood ur Rehman Kayani Ting F. Zhu 

机构地区：[1]Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China [2]School of Life Sciences, Center for Synthetic and Systems Biology, MOE Key Laboratory of Bioinformatics, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China

出　　处：《Frontiers of Electrical and Electronic Engineering in China》2015年第2期103-106,共4页中国电气与电子工程前沿（英文版）

基　　金：ACKNOWLEDGEMENTS This work was supported in part by funding from the Ministry of Science and Technology of China （973 grant No. 2015CB553402）, National Natural Science Foundation of China （grant No. 31470532）, the Tsinghua University-Peking University Center for Life Sciences （CLS）, the Tsinghua-Janssen Scholarship and research grant, and the Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases.

摘　　要：Hepatitis B is a well-known risk factor for the development of fiver cancer and is closely associated with patient morbidity and mortality. Viral mutants and variants have the potential to evade immune response and prolong infection, and thus it is crucial to develop a methodology for the rapid identification of multi-strain hepatitis infections in patients. Here we describe a method based on selective region amplification of viral genome and deep sequencing, which may be used for rapid identification of multi-strain hepatitis B virus （HBV） infection in patients. The method works even with significantly low amounts of patients＇ serum samples, where the wet-lab procedures take about 1.5 days, followed by a quick bioinformatic analysis to reveal the final results. Our method can potentially be applied to the rapid and reliable identification of multi-strain HBV infection and help improve treatment regiments.Hepatitis B is a well-known risk factor for the development of fiver cancer and is closely associated with patient morbidity and mortality. Viral mutants and variants have the potential to evade immune response and prolong infection, and thus it is crucial to develop a methodology for the rapid identification of multi-strain hepatitis infections in patients. Here we describe a method based on selective region amplification of viral genome and deep sequencing, which may be used for rapid identification of multi-strain hepatitis B virus （HBV） infection in patients. The method works even with significantly low amounts of patients＇ serum samples, where the wet-lab procedures take about 1.5 days, followed by a quick bioinformatic analysis to reveal the final results. Our method can potentially be applied to the rapid and reliable identification of multi-strain HBV infection and help improve treatment regiments.

关 键 词：hepatitis B liver cancer high-throughput sequencing single nucleotide polymorphism BIOINFORMATICS 

分 类 号：Q78[生物学—分子生物学] S858.28[农业科学—临床兽医学]