CAREER: CRISPR-based biosensors for the ultra-accurate detection of disease-related single nucleotide polymorphisms (SNPs)

职业：基于 CRISPR 的生物传感器，用于超准确检测与疾病相关的单核苷酸多态性 (SNP)

• 批准号: 2421137
• 负责人: Juhong Chen
• 金额: $ 54.88万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-07-01 至 2029-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2421137&HistoricalAwards=false
• 关键词: CAREER; CRISPR; based; biosensors; ultra

Single nucleotide polymorphisms (SNPs) are the most common types of genetic variations in the human genome. Each SNP represents a difference in a single DNA building block, called a nucleotide. With the completion of the human genome project, more and more SNPs have been identified as biomarkers for life-threatening diseases. Detecting such SNPs is of particular importance to the fields of cancer diagnosis, pathogen detection, and various health condition monitoring. The standard methods to detect SNPs rely on real-time polymerase chain reaction (PCR) and next-generation sequencing (NGS), but are largely limited by their poor sensitivity and bad accuracy. This CAREER project will exploit the newly discovered CRISPR technology to detect disease-related SNPs, improving human health. To provide broader impacts on a national level, this project will pursue the following two education and outreach goals: 1) broaden participation in careers in biotechnology and 2) equip undergraduate and graduate students with the required biotechnology knowledge and hands-on experience. In bacteria and archaea cells, CRISPR was developed as an adaptive defense system against viral infections. In addition to gene editing, CRISPR technology has been applied to detect nucleic acids in the past few years. This NSF CAREER project aims to study the fundamental properties of CRISPR Cas nucleases through their non-specific collateral activities (also named “trans-cleavage” activity) and apply the knowledge to detect disease-related SNPs. The central hypothesis is that systematic characterization and optimization of the trans-cleavage activities of the CRISPR Cas nucleases (Cas12, Cas13, and Cas14) will provide a solid foundation to develop novel biosensing approaches for the ultra-accurate detection of disease-related SNPs (less than 0.1% SNPs in wild type can be detected). The major research objectives are: 1) enable an ultra-accurate detection of SNPs using a CRISPR-Cas14 biosensor; 2) design a ratiometric detection of SNPs using biorthogonal CRISPR-Cas13 systems; and 3) demonstrate CRISPR-12 array sensors to identify multiple SNPs simultaneously.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

单核苷酸多态性（SNP）是人类基因组中最常见的遗传变异类型。每个SNP代表单个DNA构建块（称为核苷酸）的差异。 随着人类基因组计划的完成，越来越多的SNPs被确定为威胁生命的疾病的生物标志物。检测这样的SNP对于癌症诊断、病原体检测和各种健康状况监测领域特别重要。检测SNP的标准方法依赖于实时聚合酶链反应（PCR）和下一代测序（NGS），但在很大程度上受到其灵敏度和准确性差的限制。这个CAREER项目将利用新发现的CRISPR技术来检测疾病相关的SNP，改善人类健康。为了在国家一级产生更广泛的影响，该项目将追求以下两个教育和推广目标：1）扩大对生物技术职业的参与，2）为本科生和研究生提供所需的生物技术知识和实践经验。在细菌和古细菌细胞中，CRISPR被开发为针对病毒感染的适应性防御系统。除了基因编辑，CRISPR技术在过去几年也被应用于核酸检测。这个NSF CAREER项目旨在通过CRISPR Cas核酸酶的非特异性附带活性（也称为“反式切割”活性）研究其基本特性，并将这些知识应用于检测疾病相关的SNP。核心假设是CRISPR Cas核酸酶（Cas 12，Cas 13和Cas 14）的反式切割活性的系统表征和优化将为开发用于超准确检测疾病相关SNP的新型生物传感方法提供坚实的基础（野生型中可以检测到不到0.1%的SNP）。主要的研究目标是：1）使用CRISPR-Cas 14生物传感器实现SNP的超准确检测; 2）使用双正交CRISPR-Cas 13系统设计SNP的比率检测;和3）展示CRISPR-该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准。