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essential host response to pathogens [68], which would otherwise be technically challenging

with other genome-editing tools.

Cas9-mediated loss-of-function screens have also performed to knock out pairs of genes in

combination [69]. A library of 23 409 barcoded dual sgRNA combinations was created and a

pooled screen was performed to identify gene pairs in human cells that inhibit ovarian cancer cell

growth in the presence of small-molecule drugs. While further work is needed to characterize the

ef

fi

cacy and accuracy of multiplex genetic screening, this work highlights the potential of more

sophisticated functional screening studies using CRISPR.

Beyond Cas9-based complete loss-of-function screens, the invention of CRISPRi and CRISPRa

further enables both partial loss-of-function and gain-of-function genetic screens [47,48].

Growth-based screens using CRISPRi/a have been used to identify essential genes, tumor

suppressor genes, and potential mechanisms that confer cytotoxicity induced by a cholera-

diphtheria toxin [47]. Using a library comprising approximately 70 000 guides targeting the

human RefSeq coding isoforms, a CRISPRa-based screen identi

fi

ed genes that, upon activa-

tion, conferred resistance to a BRAF inhibitor [48].

In addition to the use of pooled screens, multi-well plates have been used in combination with

the partial repression feature of CRISPRi to study the function of the full set of essential genes in

the Gram-positive bacterium

Bacillus subtilis

[45]. Given that knocking out essential genes

results in lethality that prevents further assay of the phenotype, partial knockdown of essential

genes becomes a powerful approach. A mutant

B. subtilis

library was created to include gene

partial knockdowns (approximately threefold) of all essential genes using CRISPRi, which was

tested for the growth phenotype under 35 unique compounds. Using this chemical genomic

approach, a comprehensive interconnecting essential gene network was identi

fi

ed, as well as

targeted genes that interact with uncharacterized antibiotics. Inducible knockdown of essential

genes also allowed for systematic characterization of cell morphology and terminal death

phenotypes.

An important question is how these screens compare with each other and with other existing

approaches. Several works compared different screens based on CRISPR, CRISPRi, and RNAi.

One work performed comparative screens of 46 essential and 47 nonessential genes, and

concluded that the CRISPR/Cas9 nuclease system outperformed the shRNA- and CRISPRi/

dCas9-based gene regulation systems for the sets of essential and nonessential genes [70].

From the CRISPR screening data, the authors observed less variation across the data, and

detected more functional constructs with fewer off-target effects. Another study concluded that

CRISPR could identify more essential gene targets compared with RNAi [71]. Since similar

precision was observed between the two approaches, it was suggested that combining data

from both screens would improve the predictive accuracy. The systematic comparison of

different approaches suggests that a comparative screening approach will be more powerful

for studying complex cell biology phenotypes.

In addition, new methods to generate CRISPR libraries may help reduce the overall cost

associated with this technique and extend its uses to screen a larger chromosomal region

(e.g., the tiling along a whole chromosome). While most CRISPR libraries are generated via

chemical synthesis of large pools of oligos, a new method, termed CRISPR EATING (Everything

Available Turned Into New Guides), can inexpensively generate large quantities of sgRNAs for

whole-genome targeting [72]. In this approach, PAM-proximal sequences are extracted by

digesting input DNA with restriction enzymes that target immediately 5

0

to an NGG or NAG (the

PAM sequences for

S. pyogenes

Cas9, N = any nucleic acid). In this study, one library was

generated and used to label the whole 3.4-mb region on

Xenopus laevis

chromosome 4 in the

882

Trends in Cell Biology, November 2016, Vol. 26, No. 11