Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Department of Biological Engineering, MIT, Cambridge, MA, USA.
Nature. 2020 Jun;582(7811):277-282. doi: 10.1038/s41586-020-2279-8. Epub 2020 Apr 29.
The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples while simultaneously testing for many pathogens. Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents self-organize in a microwell array to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN-Cas13) enables robust testing of more than 4,500 crRNA-target pairs on a single array. Using CARMEN-Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN-Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health.
绝大多数在全球传播的病原体都未被发现,这削弱了患者的护理效果,并阻碍了疫情的防范和应对。为了实现常规监测和全面诊断应用,我们需要能够大规模检测大量样本并同时检测多种病原体的检测技术。在这里,我们开发了用于核酸多重评估的组合式阵列反应(CARMEN),这是一种可扩展的多重病原体检测平台。在 CARMEN 平台中,包含基于 CRISPR 的核酸检测试剂的纳升级液滴在微井阵列中自组织,与扩增样本的液滴配对,在重复中对每个样本进行每个 CRISPR RNA(crRNA)的测试。CARMEN 和 Cas13 检测(CARMEN-Cas13)的结合能够在单个阵列上对超过 4500 对 crRNA-靶标对进行稳健测试。我们使用 CARMEN-Cas13 开发了一种多重分析方法,可同时区分至少有 10 个已发表基因组序列的 169 种与人相关的病毒,并迅速加入了一个 crRNA 来检测 2020 年 COVID-19 大流行的病原体。CARMEN-Cas13 还能够对甲型流感病毒株进行全面亚型分析,并对数十种 HIV 耐药突变进行多重识别。CARMEN 的固有多重化和通量能力使其易于扩展,因为微型化使每个测试的试剂成本降低了 300 多倍。可扩展的、高度多重化的基于 CRISPR 的核酸检测将诊断和监测工作从对高优先级样本的靶向测试转变为对大量样本集的全面测试,这极大地造福了患者和公共卫生。