English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Increasing the performance of pooled CRISPR-Cas9 drop-out screening

MPS-Authors
/persons/resource/persons281102

Lawo,  S.
CRISPR Screening, Core Facilities, Max Planck Institute for Biology of Ageing, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Cross, B. C., Lawo, S., Archer, C. R., Hunt, J. R., Yarker, J. L., Riccombeni, A., et al. (2016). Increasing the performance of pooled CRISPR-Cas9 drop-out screening. Sci Rep, 6, 31782. doi:10.1038/srep31782.


Cite as: https://hdl.handle.net/21.11116/0000-000B-7158-3
Abstract
Components of the type II CRISPR-Cas complex in bacteria have been used successfully in eukaryotic cells to facilitate rapid and accurate cell line engineering, animal model generation and functional genomic screens. Such developments are providing new opportunities for drug target identification and validation, particularly with the application of pooled genetic screening. As CRISPR-Cas is a relatively new genetic screening tool, it is important to assess its functionality in a number of different cell lines and to analyse potential improvements that might increase the sensitivity of a given screen. To examine critical aspects of screening quality, we constructed ultra-complex libraries containing sgRNA sequences targeting a collection of essential genes. We examined the performance of screening in both haploid and hypotriploid cell lines, using two alternative guide design algorithms and two tracrRNA variants in a time-resolved analysis. Our data indicate that a simple adaptation of the tracrRNA substantially improves the robustness of guide loss during a screen. This modification minimises the requirement for high numbers of sgRNAs targeting each gene, increasing hit scoring and creating a powerful new platform for successful screening.