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Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
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New Target Gene Screening Using Shortened and Random sgRNA Libraries in Microbial CRISPR Interference.
Song Hee Jeong1, Hyun Ju Kim1, Sang Jun Lee1
1Department of Systems Biotechnology, and Institute of Microbiomics, Chung-Ang University, Anseong 17546, Republic of Korea.
ACS Synthetic Biology
|February 14, 2023
Summary
Shortened CRISPR interference (CRISPRi) guide RNA libraries simplify gene screening. This cost-effective method efficiently identifies target genes for desired phenotypes, like enhanced violacein production in E. coli.
Area of Science:
- Molecular Biology
- Synthetic Biology
- Genomics
Background:
- CRISPR interference (CRISPRi) screening utilizes single-molecular guide RNA (sgRNA) libraries to identify genes influencing specific phenotypes.
- Traditional CRISPRi screening involves large sgRNA libraries with approximately 10^12 random sequences.
Purpose of the Study:
- To investigate the feasibility of shortening the target recognition sequence (TRS) in sgRNAs for CRISPRi screening.
- To develop a more cost-effective and efficient method for phenotype-based target gene identification.
Main Methods:
- Demonstrated that a 9-nucleotide TRS (N9) is sufficient for dCas9-mediated gene repression in Escherichia coli.
- Constructed random sgRNA plasmid libraries with shortened TRS lengths.
- Screened libraries to identify genes involved in xylose metabolism and violacein pigment production.
Main Results:
- Identified target genes for xylose metabolism using Sanger sequencing of sgRNA plasmids from Xyl- phenotypic cells.
- Discovered 17 target genes that enhance violacein production in synthetic E. coli, including seven known to increase l-tryptophan precursor pools.
- Confirmed significant violacein production increases in cells with single deletions of these identified target genes.
Conclusions:
- Shortened random TRS libraries for CRISPRi screening are effective and simpler than traditional methods.
- This approach offers a cost-effective strategy for phenotype-based target gene discovery.
- The method successfully identified genes regulating metabolic pathways and pigment production.

