Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29631, United States.
Department of Physics and Astronomy, Clemson University, Clemson, South Carolina 29631, United States.
ACS Synth Biol. 2023 Aug 18;12(8):2290-2300. doi: 10.1021/acssynbio.2c00627. Epub 2023 Jul 18.
Systematic, genome-scale genetic screens have been instrumental for elucidating genotype-phenotype relationships, but approaches for probing genetic interactions have been limited to at most ∼100 pre-selected gene combinations in mammalian cells. Here, we introduce a theory for high-throughput genetic interaction screens. The theory extends our recently developed Multiplexing using Spectral Imaging and Combinatorics (MuSIC) approach to propose ∼10 spectrally unique, genetically encoded MuSIC barcodes from 18 currently available fluorescent proteins. Simulation studies based on constraints imposed by spectral flow cytometry equipment suggest that genetic interaction screens at the human genome-scale may be possible if MuSIC barcodes can be paired to guide RNAs. While experimental testing of this theory awaits, it offers transformative potential for genetic perturbation technology and knowledge of genetic function. More broadly, the availability of a genome-scale spectral barcode library for non-destructive identification of single cells could find more widespread applications such as traditional genetic screening and high-dimensional lineage tracing.
系统的、全基因组规模的遗传筛选对于阐明基因型-表型关系至关重要,但探测遗传相互作用的方法最多只能在哺乳动物细胞中探测到约 100 个预先选定的基因组合。在这里,我们介绍一种高通量遗传相互作用筛选的理论。该理论扩展了我们最近开发的基于光谱成像和组合的多重化(Multiplexing using Spectral Imaging and Combinatorics,MuSIC)方法,从目前可用的 18 种荧光蛋白中提出了约 10 种具有独特光谱的遗传编码 MuSIC 条码。基于光谱流式细胞术设备施加的约束的模拟研究表明,如果 MuSIC 条码可以与 guide RNA 配对,那么人类基因组规模的遗传相互作用筛选可能成为可能。虽然对这一理论的实验检验还在等待中,但它为遗传干扰技术和遗传功能知识提供了变革性的潜力。更广泛地说,全基因组光谱条码库的可用性可用于非破坏性识别单细胞,可能会有更广泛的应用,如传统的遗传筛选和高维谱系追踪。