High throughput measurement of envelope gene diversity for an HIV incidence assay
High throughput measurement of envelope gene diversity for an HIV incidence assay
批准号:
8466485
负责人:
Satish Kumar Pillai
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-18 至 2013-06-30
关键词:
AIDS preventionBiological AssayBlood TestsCharacteristicsChronicComplementDNADNA BindingDataDisadvantagedDistantDyesEntropyEvaluationFeasibility StudiesFutureGenesGeneticGenetic VariationGoldHIVHIV InfectionsHealthcare SystemsHuman immunodeficiency virus testImmune responseIncidenceInfectionKineticsMeasurementMeasuresMethodsMolecular GeneticsPatientsPerformancePilot ProjectsPlasmaProceduresPublic HealthQualitative MethodsRNA-Directed DNA PolymeraseReagentRelative (related person)ResolutionSamplingT-Cell ReceptorT-Cell Receptor GenesTemperatureTestingTimeValidationViralViral Envelope GeneVirusWeightWidthbasecostdeep sequencinggenetic technologyimprovedmeltingnovel strategiespublic health relevanceresponsevirus genetics
中文摘要
描述(由申请人提供):估计艾滋病毒发病率是公共卫生的一项重要挑战。一种能够可靠地区分偶发(新)HIV感染和慢性HIV感染的检测方法将是非常宝贵的。解决这个问题的最初方法集中在宿主对病毒的体液反应的性质上。不幸的是,基于这一原理的分析在技术上很困难,而且人们担心它们的准确性。另一种策略是测量患者病毒的遗传多样性,预计新感染的HIV病毒的多样性较低。直接对病毒样本进行测序是昂贵的;通过高分辨率熔化曲线测量序列多样性更为经济实惠,但这只是一种定性方法,对多种方正病毒患者可能会产生误导。在这里,我们建议采用一种基于DNA杂交动力学的低成本检测方法,称为AmpliCot,来测量HIV基因的复杂性。该项目的第一个目标是适应和简化现有的方法(用于测量T细胞受体基因的复杂性),以病毒包膜基因。这将需要合成新的测量标准和验证新的实验条件。第二个目标是确定AmpliCot测量与病毒序列复杂性、序列多样性和香农熵(一种加权相对丰度的序列复杂性测量)之间的相关性,并将其与深度测序作为金标准进行比较。第三个目标是测试AmpliCot、高分辨率熔化或两种方法结合的预测能力,对来自新发和慢性HIV感染者的血浆样本进行测试。来自新感染HIV患者的系列样本可用于测试该分析是否可以检测到病毒遗传多样性随时间的增加。该试验项目的试剂、方法和初步数据将用于支持R01申请,以对该方法进行更广泛的验证。
英文摘要
DESCRIPTION (provided by applicant): Estimating HIV incidence is an important challenge for public health. An assay that could reliably distinguish incident (new) HIV infections from chronic ones would be invaluable. Initial approaches to this problem have focused on the qualities of the host's humoral response to the virus. Unfortunately, assays based on this principle have been technically difficult and there are concerns about their accuracy. An alternative strategy is to measure the genetic diversity of a patient's virus, with diversity expected to be low in new HIV infections. Directly sequencing viral samples is expensive; measuring sequence diversity through high-resolution melting curves is more affordable, but it is only a qualitative method, and it may be misleading in patients with multiple founder viruses. Here, we propose to adapt a low-cost assay based on DNA hybridization kinetics, called AmpliCot, to the measurement of HIV gene complexity. The first aim of the project is to adapt and simplify the existing method (used to measure T cell receptor gene complexity) to viral envelope genes. This will require the synthesis of new measurement standards and the validation of new experimental conditions. The second aim is to determine how well AmpliCot measurements correlate with viral sequence complexity, sequence diversity, and Shannon entropy (a measure of sequence complexity weighted for relative abundance), with comparison to deep sequencing as a gold standard. The third aim is to test the predictive power of AmpliCot, high-resolution melting, or a combination of the two methods, against a test panel of plasma samples from subjects with new and chronic HIV infections. Serial samples from newly-infected HIV patients can be used to test whether the assay can detect an increase in viral genetic diversity over time. The reagents, methods and preliminary data from this pilot project will be used to support an R01 application for more extensive validation of this method.
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会议论文
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海外基金