The RNA-guided DNA recognition of CRISPR/Cas9 now enables comprehensive genetic screening in mammalian cells and other previously intractable systems. CRISPR/Cas9 provides highly programmable genetic perturbation through DNA cleavage, transcriptional inhibition, or targeted mutagenesis. Measuring the phenotypes associated with these genetic perturbations remains a challenge, and this often represents the greatest barrier to mapping the genetic dependencies of important biological processes. We propose to develop a general approach that links molecular phenotypes with the targeting guide RNAs that induce those effects in a large, pooled cell population. We label distinct guide RNAs with unique nucleotide barcodes that are expressed in an RNA reporter, linking the RNA abundance of the barcode to intracellular processes of interest. Our system can directly monitor transcriptional, post-transcriptional, and post-translational responses, allowing us to couple it with a wide array of intracellular signals. These expression measurements are well suited for epistasis analysis, which can identify genetic pathways and uncover novel gene functions through correlated patterns of genetic interaction from quantitative phenotypic pro?les. We will make available our validated reagents for implementing this screening approach in budding yeast and in mammalian cells, providing a broadly useful resource for high-precision genetic pro?ling.

Public Health Relevance

CRISPR/Cas9 screening is a powerful tool for learning which genes are important in a biological process. It can be challenging to measure the effects of inactivating different genes, however. We propose to develop a general toolkit for measuring cellular responses to gene inactivation, enabling more quantitative use of CRISPR/Cas9 in many processes.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM135233-01A1
Application #
10058222
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Sammak, Paul J
Project Start
2020-09-01
Project End
2024-08-31
Budget Start
2020-09-01
Budget End
2021-08-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California Berkeley
Department
Biochemistry
Type
Graduate Schools
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94710