Construction of a ZIKV-host protein-protein interaction network

ZIKV-宿主蛋白-蛋白相互作用网络的构建

基本信息

  • 批准号:
    9338992
  • 负责人:
  • 金额:
    $ 24.53万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-08-16 至 2019-07-31
  • 项目状态:
    已结题

项目摘要

Zika virus (ZIKV), a mosquito-borne flavivirus, is now reported to be circulating in 26 countries and territories in Latin America and the Caribbean. While infected individuals can often be asymptomatic or have only mild symptoms, emerging evidence starts to link ZIKV infection to fetal and newborn microcephaly and serious neurological complications, such as Guillain-Barré syndrome. The WHO declared a Public Health Emergency of International Concern on Feb 1 of 2016. Though the structure, tropism and pathogenesis of ZIKV are largely unknown, several recent studies started to shed lights on the etiology of the virus. Indeed, recent studies published by Ming and colleagues demonstrated that ZIKV specifically infect human neuronal progenitor cells. The next important step is to elucidate the molecular mechanism of ZIKV-host interactions. It has been well documented that once a virus enters the host cell, it hijacks the cellular machineries, mainly via direct, physical contacts with host proteins. Therefore, construction of a ZIKV-host protein-protein interaction network will greatly facilitate our understanding of the molecular mechanism of ZIKV life cycle. In addition, comparison of the ZIKV- host interactions with dengue virus (DENV)-host interactions will provide us important clues to identify novel therapeutic targets. Specifically, we plan to: 1) Construct ZIKV and DENV-host protein-protein interaction networks; 2) Predict which host factor(s) plays an important role in ZIKV-host interactions; and 3) Validate newly identified ZIKV-host PPIs using cell-based approaches. The success of this project will provide us a global PPI network between ZIKV and human proteome. The comparison between ZIKV-host and DENV-host PPI networks will improve the likelihood for us to identify important host factors and/or pathways that are commonly exploited by the flavivirus. We believe that PPI datasets will serve as an important stepping stone towards identifying novel drug targets that will greatly facilitate development of novel therapeutics and vaccines.
寨卡病毒(ZIKV)是一种由蚊子传播的黄病毒,据报道目前在全球26个国家和地区传播

项目成果

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专利数量(0)

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Heng Zhu其他文献

Heng Zhu的其他文献

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{{ truncateString('Heng Zhu', 18)}}的其他基金

Project 3-Proteomic Analysis of Explanted Livers with characterization of Autoantigens
项目 3 - 外植肝脏的蛋白质组学分析及自身抗原的表征
  • 批准号:
    10356015
  • 财政年份:
    2019
  • 资助金额:
    $ 24.53万
  • 项目类别:
Project 3-Proteomic Analysis of Explanted Livers with characterization of Autoantigens
项目 3 - 外植肝脏的蛋白质组学分析及自身抗原的表征
  • 批准号:
    10093988
  • 财政年份:
    2019
  • 资助金额:
    $ 24.53万
  • 项目类别:
Project 3-Proteomic Analysis of Explanted Livers with characterization of Autoantigens
项目 3 - 外植肝脏的蛋白质组学分析及自身抗原的表征
  • 批准号:
    10560561
  • 财政年份:
    2019
  • 资助金额:
    $ 24.53万
  • 项目类别:
Proteome-wide analysis of AD-associated SNPs
AD 相关 SNP 的全蛋白质组分析
  • 批准号:
    10405083
  • 财政年份:
    2018
  • 资助金额:
    $ 24.53万
  • 项目类别:
Proteome-wide analysis of AD-associated SNPs
AD 相关 SNP 的全蛋白质组分析
  • 批准号:
    10171751
  • 财政年份:
    2018
  • 资助金额:
    $ 24.53万
  • 项目类别:
Proteome-wide analysis of AD-associated SNPs
AD 相关 SNP 的全蛋白质组分析
  • 批准号:
    9789168
  • 财政年份:
    2018
  • 资助金额:
    $ 24.53万
  • 项目类别:
TCP1: ANALYSIS OF LYSINE MODIFICATION USING PROTEIN MICROARRAYS
TCP1:使用蛋白质微阵列分析赖氨酸修饰
  • 批准号:
    7724685
  • 财政年份:
    2008
  • 资助金额:
    $ 24.53万
  • 项目类别:
TCP1: ANALYSIS OF LYSINE MODIFICATION USING PROTEIN MICROARRAYS
TCP1:使用蛋白质微阵列分析赖氨酸修饰
  • 批准号:
    7622839
  • 财政年份:
    2007
  • 资助金额:
    $ 24.53万
  • 项目类别:
Structural Protein Networks ("Interactome") in Herpesviruses
疱疹病毒中的结构蛋白网络(“Interactome”)
  • 批准号:
    7132444
  • 财政年份:
    2006
  • 资助金额:
    $ 24.53万
  • 项目类别:
Structural Protein Networks ("Interactome") in Herpesviruses
疱疹病毒中的结构蛋白网络(“Interactome”)
  • 批准号:
    7268146
  • 财政年份:
    2006
  • 资助金额:
    $ 24.53万
  • 项目类别:

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