Development of novel methods to exploit next gen sequencing for HIV

开发利用下一代艾滋病毒测序的新方法

• 批准号: 8603615
• 负责人: Ronald I Swanstrom
• 金额: $ 20.52万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8603615
• 关键词: Accounting; Address; Affect; Biology; Code; Complementary DNA; Complex; Consensus Sequence; Coupled; Data; Data Set; Development; Disease Progression; Drug resistance; Equilibrium; Evolution; Gene Frequency; Genetic Drift; Genetic Recombination; Genetic Variation; Genome; Goals; HIV; HIV-1; Human; Individual; Infection; Length; Libraries; Link; Measures; Methods; Modeling; Morphologic artifacts; Nature; Nucleotides; Organism; Pathway interactions; Peptide Hydrolases; Pharmacotherapy; Plasma; Play; Population; Population Dynamics; Population Heterogeneity; Population Sizes; Population Study; Positioning Attribute; Protocols documentation; RNA-Directed DNA Polymerase; Reading; Residual state; Resistance development; Role; Sampling; Staging; Structure; System; Technology; Time; Vaccine Design; Variant; Viral; Virus; Work; base; biological systems; cohort; data modeling; deep sequencing; design; genome sequencing; improved; method development; next generation sequencing; novel; public health relevance; research study; tool; viral RNA; virus host interaction

DESCRIPTION (provided by applicant): Next Generation Sequencing (NGS, deep sequencing) is revolutionizing the use of sequence information to understand genomes and genome variability. While NGS has allowed the rapid sequencing of large genomes, it has also allowed the allowed an analysis of the genetic diversity in organisms with small genomes. However, the use of NGS to measure population diversity is fraught with artifacts in when each sequence is considered as an independent observation/genome. The high error rate of the sequencing protocols and misincorporation during PCR amplification introduce artifactual diversity. PCR resampling of the same template sequences after amplification introduces artifactual homogeneity. Neither of these serious problems is addressed in most of the application of NGS to complex populations such as HIV-1. We have developed the Primer ID approach specifically to overcome these problems. In this application we propose to define the strengths and weaknesses of the Primer ID strategy and to use this strategy to explore fundamental features of HIV-1 population structure and evolution. These studies will provide definitive answers to longstanding and important questions that impact the relevance of pre-existing variants prior to drug therapy and the potential pathways for HIV-1 evolution. The experiments will use human samples so that the results will be directly applicable to understanding the nature of virus-host interactions in the context of this pathogenic infection.

描述（由申请人提供）：下一代测序（NGS，深度测序）正在彻底改变序列信息的使用，以了解基因组和基因组变异性。虽然NGS可以对大型基因组进行快速测序，但它也可以对具有小基因组的生物体的遗传多样性进行分析。然而，当每个序列被视为一个独立的观察/基因组时，使用NGS来测量种群多样性充满了人为因素。测序方案的高错误率和PCR扩增过程中的误合并导致了人工多样性。扩增后对相同模板序列的PCR重采样引入了人工均匀性。在大多数将NGS应用于复杂人群（如HIV-1）的过程中，这两个严重问题都没有得到解决。我们专门开发了Primer ID方法来克服这些问题。在这个应用程序中，我们建议定义引物ID策略的优势和劣势，并使用该策略来探索HIV-1群体结构和进化的基本特征。这些研究将为长期存在的重要问题提供明确的答案，这些问题影响药物治疗之前存在的变异的相关性以及HIV-1进化的潜在途径。实验将使用人类样本，因此结果将直接适用于了解这种致病性感染背景下病毒-宿主相互作用的性质。