Fitness Profile of HIV-1 Genome with Host Cofactor Selection Pressure
HIV-1 基因组与宿主辅因子选择压力的适应度概况
基本信息
- 批准号:8731701
- 负责人:
- 金额:$ 19.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-02-01 至 2016-01-31
- 项目状态:已结题
- 来源:
- 关键词:AIDS/HIV problemAmino AcidsAnti-Retroviral AgentsAttenuatedBlood CirculationCatalysisCell LineCellsCodeCommunity HealthCoupledDataDevelopmentDrug DesignDrug resistanceEngineeringEnzymesEpidemicEssential Amino AcidsEventGenerationsGeneticGenetic RecombinationGenetic VariationGenomeGenomicsGoalsHIV GenomeHIV-1HealthHumanImmuneInterferonsKnowledgeLibrariesMapsMediatingMembrane ProteinsMethodsMonitorMutagenesisMutateMutationNucleic AcidsNucleotidesOutcomeOutputPathogenesisPatientsPharmaceutical PreparationsPhenotypePlanetsPlasmidsPoint MutationPopulationPositioning AttributePrevention therapyProcessProtease GeneRNARNA-Directed DNA PolymeraseReplication-Associated ProcessResearchResistanceResolutionReverse TranscriptionSequence AnalysisSiteStretchingSurveysT-LymphocyteTechnologyTherapeuticTimeVaccinesVariantViralViral GenomeVirionVirusapolipoprotein B mRNA editing enzymebasecofactordesignfitnessgenetic profilinginnovationmutantnew technologynext generation sequencingnoveloverexpressionpathogenpolypeptidepressurepreventprotein protein interactionpublic health relevanceresearch clinical testingresearch studytherapeutic targettransmission processvaccine candidatevaccine developmentvector
项目摘要
DESCRIPTION (provided by applicant): The proposed research will utilize a novel genetic platform to functionally profile the entire HIV genome at selected conditions with mutation at every single nucleotide position. The genetic interaction of HIV genome will be determined with selected host restriction factors. The genetic platform will quantitatively identify regions of the
genome (and the corresponding coded amino acids) that are essential for the functional interaction, and represents a major step forward to identify host-pathogen interactions. Using the novel high-resolution genetic profiling approach that the research group has developed and successfully demonstrated, the study will quantitatively assess mutational impact for all possible nucleic acid base changes for every nucleotide position within the HIV-1 genome. The combination of saturation mutagenesis with next generation sequence will be applied to monitor mutations at all positions of the genome simultaneously. In accomplishing the research goals, the study will aim to establish the initial profile gauging the essentialness of each nucleotide position for HIV-1 replication, and subsequently identify nucleotide positions in the genome for resistance and compensatory effects to host restriction factor interferon-induced trans-membrane protein 3 (IFITM3). A well-characterized restriction factor apolipoprotein B mRNA-editing enzyme, catalytic polypeptide- like 3G (APOBEC3G) will be used as a comparison. More importantly, the proposed functional profiling method will demonstrate the ability to evaluate a large and diverse viral mutant population spanning an entire viral genome in all genomic space for the involvement in a replication process or pathogenic process on a single experimental platform, which will impact not just HIV-1 research, but the study of many other viral pathogens. From the obtained high resolution map of the entire HIV-1 genome detailing mutational tolerability at each nucleotide position for all possible base changes, which should prove highly beneficial for HIV/AIDS vaccine development. Identification of viral-cellular interactions provides
a great wealth of new potentially useful targets for therapeutic drug design.
描述(由申请人提供):拟议的研究将利用一个新型的遗传平台在选定条件下在每个核苷酸位置突变在功能上介绍整个HIV基因组。 HIV基因组的遗传相互作用将由选定的宿主限制因子确定。遗传平台将定量确定
对于功能相互作用至关重要的基因组(以及相应的编码氨基酸),代表了鉴定宿主 - 病原体相互作用的主要一步。使用研究小组开发并成功证明的新型高分辨率基因分析方法,该研究将定量评估HIV-1基因组中每个核苷酸位置的所有可能核酸碱的变化的突变影响。饱和诱变与下一代序列的组合将用于同时监测基因组所有位置的突变。在实现研究目标时,该研究将旨在建立初始特征,以衡量每个核苷酸位置以复制HIV-1的本质,并随后鉴定基因组中的核苷酸位置,以实现对宿主限制因子干扰素诱导的跨膜膜蛋白3(IFITM3)的抵抗和补偿性效应(IFITM3)。特征良好的限制因子载脂蛋白B mRNA编辑酶,催化多肽(如3G)(APOBEC3G)将被用作比较。更重要的是,提出的功能分析方法将证明能够评估所有基因组空间中整个病毒基因组的大型和多样化的病毒突变体种群,以参与单个实验平台上的复制过程或致病过程,这不仅会影响HIV-1研究,而且会影响许多其他病毒病原体的研究。从获得的整个HIV-1基因组的高分辨率图中,每个核苷酸位置的突变耐受性都可以证明对HIV/AIDS疫苗发育非常有益。病毒细胞相互作用的识别提供了
用于治疗药物设计的大量新的潜在有用的目标。
项目成果
期刊论文数量(0)
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