CRISPR/Cas9-based gene targeting using synthetic guide RNAs enables robust cell biological analyses
Name
mbc.e18-04-0214.pdf
Description
Published version
Size
2.29 MB
Format
Adobe PDF
Checksum (MD5)
b12bd8cf2eeff48f9132856831a74510
Author(s)
Su, Kuan-Chung
Tsang, Mary-Jane
Emans, Neil
Cheeseman, Iain M
Date Issued
October 2018
Journal
Molecular Biology of the Cell
Publisher
American Society for Cell Biology (ASCB)
Citation
Su, Kuan-Chung et al. "CRISPR/Cas9-based gene targeting using synthetic guide RNAs enables robust cell biological analyses." Molecular Biology of the Cell 29, 20 (October 2018): 2359-2507 © 2018 The American Society for Cell Biology
Version
Final published version
Abstract
A key goal for cell biological analyses is to assess the phenotypes that result from eliminating a target gene. Since the early 1990s, the predominant strategy utilized in human tissue culture cells has been RNA interference (RNAi)-mediated protein depletion. However, RNAi suffers well-documented off-target effects as well as incomplete and reversible protein depletion. The implementation of CRISPR/Cas9-based DNA cleavage has revolutionized the capacity to conduct functional studies in human cells. However, this approach is still underutilized for conducting visual phenotypic analyses, particularly for essential genes that require conditional strategies to eliminate their gene products. Optimizing this strategy requires effective and streamlined approaches to introduce the Cas9 guide RNA into target cells. Here we assess the efficacy of synthetic guide RNA transfection to eliminate gene products for cell biological studies. On the basis of three representative gene targets (KIF11, CENPN, and RELA), we demonstrate that transfection of synthetic single guide RNA (sgRNA) and CRISPR RNA (crRNA) guides works comparably for protein depletion as cell lines stably expressing lentiviral-delivered RNA guides. We additionally demonstrate that synthetic sgRNAs can be introduced by reverse transfection on an array. Together, these strategies provide a robust, flexible, and scalable approach for conducting functional studies in human cells.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution Noncommercial 3.0 unported license
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DOI of Published Version
https://doi.org/10.1091/mbc.e18-04-0214
