Department of Systems Biology, Columbia University Medical Center, New York, NY, USA.
Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University, New York, NY, USA.
Nat Rev Genet. 2018 Nov;19(11):718-732. doi: 10.1038/s41576-018-0052-8.
Measuring biological data across time and space is critical for understanding complex biological processes and for various biosurveillance applications. However, such data are often inaccessible or difficult to directly obtain. Less invasive, more robust and higher-throughput biological recording tools are needed to profile cells and their environments. DNA-based cellular recording is an emerging and powerful framework for tracking intracellular and extracellular biological events over time across living cells and populations. Here, we review and assess DNA recorders that utilize CRISPR nucleases, integrases and base-editing strategies, as well as recombinase and polymerase-based methods. Quantitative characterization, modelling and evaluation of these DNA-recording modalities can guide their design and implementation for specific application areas.
跨时间和空间测量生物数据对于理解复杂的生物过程和各种生物监测应用至关重要。然而,这些数据通常难以获取或难以直接获得。需要更具侵入性、更强大和高通量的生物记录工具来描绘细胞及其环境。基于 DNA 的细胞记录是一种新兴的强大框架,可用于跟踪活细胞和细胞群体中随时间变化的细胞内和细胞外生物事件。在这里,我们回顾和评估了利用 CRISPR 核酸酶、整合酶和碱基编辑策略以及基于重组酶和聚合酶的方法的 DNA 记录器。对这些 DNA 记录模式的定量描述、建模和评估可以指导它们的设计和实施,以用于特定的应用领域。