Momen-Roknabadi Amir, Oikonomou Panos, Zegans Maxwell, Tavazoie Saeed
Department of Biological Sciences, Columbia University, New York City, NY, USA.
Department of Systems Biology, Columbia University, New York City, NY, USA.
Commun Biol. 2020 Nov 27;3(1):723. doi: 10.1038/s42003-020-01452-9.
Genome-scale CRISPR interference (CRISPRi) is widely utilized to study cellular processes in a variety of organisms. Despite the dominance of Saccharomyces cerevisiae as a model eukaryote, an inducible genome-wide CRISPRi library in yeast has not yet been presented. Here, we present a genome-wide, inducible CRISPRi library, based on spacer design rules optimized for S. cerevisiae. We have validated this library for genome-wide interrogation of gene function across a variety of applications, including accurate discovery of haploinsufficient genes and identification of enzymatic and regulatory genes involved in adenine and arginine biosynthesis. The comprehensive nature of the library also revealed refined spacer design parameters for transcriptional repression, including location, nucleosome occupancy and nucleotide features. CRISPRi screens using this library can identify genes and pathways with high precision and a low false discovery rate across a variety of experimental conditions, enabling rapid and reliable assessment of genetic function and interactions in S. cerevisiae.
全基因组规模的CRISPR干扰(CRISPRi)被广泛用于研究各种生物体中的细胞过程。尽管酿酒酵母作为一种模式真核生物占据主导地位,但尚未出现酵母中可诱导的全基因组CRISPRi文库。在此,我们基于针对酿酒酵母优化的间隔区设计规则,展示了一个全基因组、可诱导的CRISPRi文库。我们已在多种应用中验证了该文库可用于全基因组基因功能研究,包括准确发现单倍体不足基因以及鉴定参与腺嘌呤和精氨酸生物合成的酶基因和调控基因。该文库的全面性还揭示了转录抑制的精细间隔区设计参数,包括位置、核小体占有率和核苷酸特征。使用该文库进行的CRISPRi筛选能够在各种实验条件下高精度、低错误发现率地鉴定基因和通路,从而能够快速可靠地评估酿酒酵母中的基因功能和相互作用。