HCV Genotype 6: A Model for HCV Genetics and Molecular Epidemiology Studies

HCV 基因型 6:HCV 遗传学和分子流行病学研究模型

基本信息

  • 批准号:
    8111280
  • 负责人:
  • 金额:
    $ 37.13万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-15 至 2013-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Among six genotypes, the genotype 6 represents the oldest, most diverse and genetically most complex viruses. This genotype currently has 22 subtypes, including 6r-6v we designated. We have sequenced the first complete genomes of 16 subtypes and 2 equivalents. We have also discovered 16 variants that may represent 14 new subtypes and 36 variants that show great genetic differences. The overall goal of this application is to define the genetic variation and virology properties of HCV by conducting detailed analyses on a full panel of genotype 6 complete sequences that will be determined from these variants. Based on the sequences, we will assemble full length HCV genomes and use for developing new HCV cell culture models. The rationale is that clarifying these HCV sequences will enable many bioinformatics analyses that have applications linking to basic research to patient care. The Specific Aims are to: (1) determine the complete genomes of 71 genotype 6 variants showing substantial genetic variations; (2) determine the epidemic dynamics of HCV that is represented by the oldest genotype 6 variants; and (3) develop HCV genotype 6 cell culture models using unique HCV genomes that are defined in (1). It is hypothesized that HCV genotype 6 represents a "living viral fossil" that will best reflect the past history of the virus and that, being the most complex among all HCV genotypes, the genotype 6 variants may have higher divergent properties that may make them more suitable for cell cultures. To accomplish these aims, we will employ an improved DNA walking strategy that can sequence a complete HCV genome from only 100 ¿l of serum. We will use the BEAST software that combines various coalescent methods. Novel strategies will be recruited to obtain the full length HCV genomes from the most infectious virus particles. In wild type or in chimeras with the JFH1 isolate, these genomes will be used to develop new HCV cell culture models that will have many applications. The successful completion of these studies will contribute the missing and fundamental knowledge to the epidemic dynamics of HCV, bioinformatic definition of its genetic variations, and the novel approaches in developing new HCV cell culture models. These models with the sequence will be vital for basic HCV research and for patient care and public health. PUBLIC HEALTH RELEVANCE: successful completion of these studies will contribute new viral sequences and cell culture models to understand the HCV genetic variation, epidemiology behavior, and virology mechanisms. This information and the derived models are vital for better strategies of HCV diagnosis and treatment, and the improved designs of antivirals and vaccines.
描述(由申请方提供):在6种基因型中,基因型6代表最古老、最多样化和遗传最复杂的病毒。该基因型目前有22种亚型,包括我们指定的6 r-6v。我们已经测序了16个亚型和2个等价物的第一个完整的基因组。我们还发现了16种可能代表14种新亚型的变异体和36种表现出巨大遗传差异的变异体。本申请的总体目标是通过对基因型6的完整序列进行详细分析来确定HCV的遗传变异和病毒学特性,所述基因型6的完整序列将从这些变体中确定。基于这些序列,我们将组装全长HCV基因组并用于开发新的HCV细胞培养模型。其基本原理是,澄清这些HCV序列将使许多生物信息学分析,有连接到基础研究的应用程序,病人护理。具体目标是:(1)确定71个基因型6变异体的完整基因组,这些变异体显示出显著的遗传变异;(2)确定由最古老的基因型6变异体代表的HCV的流行动力学;以及(3)使用(1)中定义的独特HCV基因组开发HCV基因型6细胞培养模型。据推测,HCV基因型6代表了一种“活病毒化石”,它将最好地反映病毒的过去历史,并且作为所有HCV基因型中最复杂的,基因型6变体可能具有更高的趋异特性,这可能使它们更适合于细胞培养。为了实现这些目标,我们将采用一种改进的DNA步移策略,该策略仅需100微升血清即可对完整的HCV基因组进行测序。我们将使用结合了各种聚结方法的BEAST软件。将采用新的策略从最具感染性的病毒颗粒中获得全长HCV基因组。在野生型或与JFH 1分离的嵌合体中,这些基因组将用于开发新的HCV细胞培养模型,该模型将具有许多应用。这些研究的成功完成将为HCV的流行动力学、其遗传变异的生物信息学定义以及开发新的HCV细胞培养模型的新方法提供缺失的基础知识。这些具有该序列的模型对于基础HCV研究以及患者护理和公共卫生至关重要。公共卫生关系:这些研究的成功完成将为理解HCV的遗传变异、流行病学行为和病毒学机制提供新的病毒序列和细胞培养模型。这些信息和衍生的模型对于更好的HCV诊断和治疗策略以及改进抗病毒药物和疫苗的设计至关重要。

项目成果

期刊论文数量(26)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The evolutionary patterns of hepatitis C virus subtype 2a and 6a isolates linked to an outbreak in China in 2012.
  • DOI:
    10.1016/j.virol.2015.08.012
  • 发表时间:
    2015-11
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Lu L;An Y;Zou J;Gu L;Zhao Z;Zhang X;Li C;Kurihara C;Hokari R;Itakura J;Kurosaki M;Izumi N;Fu Y;Nakano T;Kato T;Negro F;Chen G
  • 通讯作者:
    Chen G
New trends of HCV infection in China revealed by genetic analysis of viral sequences determined from first-time volunteer blood donors.
对首次无偿献血者病毒序列进行基因分析,揭示中国HCV感染新趋势。
  • DOI:
    10.1111/j.1365-2893.2010.01280.x
  • 发表时间:
    2011-01
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Fu Y;Wang Y;Xia W;Pybus OG;Qin W;Lu L;Nelson K
  • 通讯作者:
    Nelson K
The genetic diversity and evolutionary history of hepatitis C virus in Vietnam.
  • DOI:
    10.1016/j.virol.2014.07.026
  • 发表时间:
    2014-11
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Li, Chunhua;Yuan, Manqiong;Lu, Ling;Lu, Teng;Xia, Wenjie;Pham, Van H.;Vo, An X. D.;Nguyen, Mindie H.;Abe, Kenji
  • 通讯作者:
    Abe, Kenji
Correlation of viral loads with HCV genotypes: higher levels of virus were revealed among blood donors infected with 6a strains.
病毒载量与HCV基因型的相关性:感染6A菌株的献血者中较高的病毒。
  • DOI:
    10.1371/journal.pone.0052467
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Rong X;Lu L;Wang J;Xiong H;Huang J;Chen J;Huang K;Xu R;Wang M;Zhang X;Guo T;Liu Y;Gao G;Fu Y;Nelson KE
  • 通讯作者:
    Nelson KE
A panel of 16 full-length HCV genomes was characterized in China belonging to genotypes 1-6 including subtype 2f and two novel genotype 6 variants.
  • DOI:
    10.1016/j.meegid.2013.08.014
  • 发表时间:
    2013-12
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Xu, Ru;Tong, Wangxia;Gu, Lin;Li, Chunhua;Fu, Yongshui;Lu, Ling
  • 通讯作者:
    Lu, Ling
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LING LU其他文献

LING LU的其他文献

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{{ truncateString('LING LU', 18)}}的其他基金

HCV Genotype 6: A Model for HCV Genetics and Molecular Epidemiology Studies
HCV 基因型 6:HCV 遗传学和分子流行病学研究模型
  • 批准号:
    7729965
  • 财政年份:
    2009
  • 资助金额:
    $ 37.13万
  • 项目类别:
HCV Genotype 6: A Model for HCV Genetics and Molecular Epidemiology Studies
HCV 基因型 6:HCV 遗传学和分子流行病学研究模型
  • 批准号:
    7886840
  • 财政年份:
    2009
  • 资助金额:
    $ 37.13万
  • 项目类别:

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