Directed evolution of RNA ligases for high-throughput sequencing

用于高通量测序的 RNA 连接酶的定向进化

• 批准号: 7873670
• 负责人: Andrew D Ellington
• 金额: $ 22.38万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-15 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7873670
• 关键词: Biological Assay; Biological Process; Catalytic RNA; Cells; Chemistry; Cloning; Data; Diagnostic; Disease; Emulsions; Engineering; Ensure; Evolution; Gene Expression; Genome; Health; Human; In Vitro; Lead; Libraries; Ligase; Ligation; Methods; Phosphorylation; Population; Process; Proteins; RNA; RNA Ligase (ATP); RNA Sequences; Reagent; Relative (related person); Sampling; Scheme; Small RNA; Specificity; Structure; Therapeutic; Viral; Virus; Work; base; design; directed evolution; human disease; insight; interest; novel; public health relevance; tripolyphosphate

DESCRIPTION (provided by applicant): While NextGen sequencing of small RNAs will provide important insights into a variety of biological processes the sequencing process is inherently biased, either by library construction or by RNA chemistry, leading to large misrepresentations of RNA abundance. To alleviate the biases inherent in cloning RNA populations, we propose to carry out the directed evolution of T4 RNA ligase. We will use a novel emulsion method to evolve ligases that are sequence and structure non-specific. We will also expand conventional cloning methods to try to identify particular sub-populations of small RNAs, such as those that contain 5'-triphosphates. We will determine the relative efficacy of both our normalization attempts and our new cloning strategies through NextGen sequencing of both prepared mixes of RNAs and natural samples. Be undertaking this work we will likely overcome in a timely fashion what is only now coming to be realized as a gargantuan hurdle to the acquisition and interpretation of high-throughput sequence data for small RNAs. PUBLIC HEALTH RELEVANCE: New, high-throughput sequencing methods (NextGen sequencing) is providing a wealth of data on genomes and gene expression, much of which is highly relevant to understanding human health and to developing diagnostics and therapeutics for human disease. However, it appears as though these powerful methods do not accurately represent which small RNA molecules may be present in a cell. Such skewing could lead to errors in interpretation or to missing critical sequences relevant to health and disease (such as small, expressed sequences from viruses). In order to ensure accurate coverage of transcribed RNAs, we will design and evolve new reagents for preparing samples for NextGen sequencing.

描述（由申请人提供）：虽然NextGen小RNA测序将提供对各种生物过程的重要见解，但测序过程固有地存在偏差，无论是通过文库构建还是通过RNA化学，导致RNA丰度的大量错误表达。为了减轻克隆RNA群体中固有的偏差，我们建议进行T4 RNA连接酶的定向进化。我们将使用一种新的乳液方法来发展连接酶，是序列和结构的非特异性。我们还将扩展传统的克隆方法，试图识别特定的小RNA亚群，例如含有5 '-三磷酸的小RNA。我们将通过NextGen对制备的RNA混合物和天然样品进行测序，确定我们的标准化尝试和我们的新克隆策略的相对功效。在进行这项工作时，我们可能会及时克服现在才意识到的获取和解释小RNA高通量序列数据的巨大障碍。 公共卫生关系：新的高通量测序方法（NextGen测序）提供了大量关于基因组和基因表达的数据，其中大部分与了解人类健康和开发人类疾病的诊断和治疗方法高度相关。然而，似乎这些强大的方法并不能准确地表示细胞中可能存在哪些小RNA分子。这种偏差可能导致解读错误或丢失与健康和疾病相关的关键序列（如来自病毒的小的表达序列）。为了确保转录RNA的准确覆盖，我们将设计和开发新的试剂来制备NextGen测序的样品。