Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping
Abstract
Abstract Genome-scale engineering is an indispensable tool to understand genome functions due to our limited knowledge of cellular networks. Unfortunately, most existing methods for genome-wide genotype–phenotype mapping are limited to a single mode of genomic alteration, i.e. overexpression, repression, or deletion. Here we report a multi-functional genome-wide CRISPR (MAGIC) system to precisely control the expression level of defined genes to desired levels throughout the whole genome. By combining the tri-functional CRISPR system and array-synthesized oligo pools, MAGIC is used to create, to the best of our knowledge, one of the most comprehensive and diversified genomic libraries in yeast ever reported. The power of MAGIC is demonstrated by the identification of previously uncharacterized genetic determinants of complex phenotypes, particularly those having synergistic interactions when perturbed to different expression levels. MAGIC represents a powerful synthetic biology tool to investigate fundamental biological questions as well as engineer complex phenotypes for biotechnological applications.
- Authors:
- Publication Date:
- Research Org.:
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- OSTI Identifier:
- 1619764
- Alternate Identifier(s):
- OSTI ID: 1581091
- Grant/Contract Number:
- SC0018260
- Resource Type:
- Published Article
- Journal Name:
- Nature Communications
- Additional Journal Information:
- Journal Name: Nature Communications Journal Volume: 10 Journal Issue: 1; Journal ID: ISSN 2041-1723
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Lian, Jiazhang, Schultz, Carl, Cao, Mingfeng, HamediRad, Mohammad, and Zhao, Huimin. Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping. United Kingdom: N. p., 2019.
Web. doi:10.1038/s41467-019-13621-4.
Lian, Jiazhang, Schultz, Carl, Cao, Mingfeng, HamediRad, Mohammad, & Zhao, Huimin. Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping. United Kingdom. https://doi.org/10.1038/s41467-019-13621-4
Lian, Jiazhang, Schultz, Carl, Cao, Mingfeng, HamediRad, Mohammad, and Zhao, Huimin. Thu .
"Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping". United Kingdom. https://doi.org/10.1038/s41467-019-13621-4.
@article{osti_1619764,
title = {Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping},
author = {Lian, Jiazhang and Schultz, Carl and Cao, Mingfeng and HamediRad, Mohammad and Zhao, Huimin},
abstractNote = {Abstract Genome-scale engineering is an indispensable tool to understand genome functions due to our limited knowledge of cellular networks. Unfortunately, most existing methods for genome-wide genotype–phenotype mapping are limited to a single mode of genomic alteration, i.e. overexpression, repression, or deletion. Here we report a multi-functional genome-wide CRISPR (MAGIC) system to precisely control the expression level of defined genes to desired levels throughout the whole genome. By combining the tri-functional CRISPR system and array-synthesized oligo pools, MAGIC is used to create, to the best of our knowledge, one of the most comprehensive and diversified genomic libraries in yeast ever reported. The power of MAGIC is demonstrated by the identification of previously uncharacterized genetic determinants of complex phenotypes, particularly those having synergistic interactions when perturbed to different expression levels. MAGIC represents a powerful synthetic biology tool to investigate fundamental biological questions as well as engineer complex phenotypes for biotechnological applications.},
doi = {10.1038/s41467-019-13621-4},
journal = {Nature Communications},
number = 1,
volume = 10,
place = {United Kingdom},
year = {Thu Dec 19 00:00:00 EST 2019},
month = {Thu Dec 19 00:00:00 EST 2019}
}
https://doi.org/10.1038/s41467-019-13621-4
Web of Science
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