带有条形码表达报告器的 CRISPRi 可剖析人类细胞中的调控网络

Jinyoung Kim, Ryan Y. Muller, Eliana R Bondra, Nicholas Ingolia
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引用次数: 0

摘要

全基因组 CRISPR 筛选已成为揭示各种生物过程遗传基础的有力工具。决定性的筛选通常依赖于直接测量分子表型,如 CRISPR 介导的遗传扰动引起的调控基因表达变化。在这里,我们通过将 CRISPR 干扰(CRISPRi)与条形码表达报告测序(CiBER-seq)相结合,在基因组规模的扰动文库中对人类细胞的转录反应进行了定量测量。为了在哺乳动物细胞中实现 CiBER-seq,我们优化了将高度复杂的条形码 sgRNA 文库整合到定义的基因组上下文中的过程。核因子卡巴B(NF-kappaB)报告基因的CiBER-seq图谱描绘了连接跨膜TNF-α受体与炎症基因激活的典型信号级联,并突出了这一反应中细胞类型特异性的因素。重要的是,CiBER-seq 完全依靠大容量 RNA 测序来捕捉驱动这种快速转录反应的调控回路。我们的研究工作证明了 CiBER-seq 的准确性及其以卓越的时间分辨率剖析哺乳动物细胞遗传网络的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CRISPRi with barcoded expression reporters dissects regulatory networks in human cells
Genome-wide CRISPR screens have emerged as powerful tools for uncovering the genetic underpinnings of diverse biological processes. Incisive screens often depend on directly measuring molecular phenotypes, such as regulated gene expression changes, provoked by CRISPR-mediated genetic perturbations. Here, we provide quantitative measurements of transcriptional responses in human cells across genome-scale perturbation libraries by coupling CRISPR interference (CRISPRi) with barcoded expression reporter sequencing (CiBER-seq). To enable CiBER-seq in mammalian cells, we optimize the integration of highly complex, barcoded sgRNA libraries into a defined genomic context. CiBER-seq profiling of a nuclear factor kappa B (NF-kappaB) reporter delineates the canonical signaling cascade linking the transmembrane TNF- alpha receptor to inflammatory gene activation and highlights cell-type-specific factors in this response. Importantly, CiBER-seq relies solely on bulk RNA sequencing to capture the regulatory circuit driving this rapid transcriptional response. Our work demonstrates the accuracy of CiBER-seq and its potential for dissecting genetic networks in mammalian cells with superior time resolution.
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