Base editing sensor libraries for high-throughput engineering and functional analysis of cancer-associated single nucleotide variants

Sánchez-Rivera, Francisco J, Diaz, Bianca J, Kastenhuber, Edward R, Schmidt, Henri, Katti, Alyna, Kennedy, Margaret, Tem, Vincent, Ho, Yu-Jui, Leibold, Josef, Paffenholz, Stella V, Barriga, Francisco M, Chu, Kevan, Goswami, Sukanya, Wuest, Alexandra N, Simon, Janelle M, Tsanov, Kaloyan M, Chakravarty, Debyani, Zhang, Hongxin, Leslie, Christina S, Lowe, Scott W, Dow, Lukas E (February 2022) Base editing sensor libraries for high-throughput engineering and functional analysis of cancer-associated single nucleotide variants. Nature Biotechnology. ISSN 1087-0156

URL: https://www.ncbi.nlm.nih.gov/pubmed/35165384
DOI: 10.1038/s41587-021-01172-3

Abstract

Base editing can be applied to characterize single nucleotide variants of unknown function, yet defining effective combinations of single guide RNAs (sgRNAs) and base editors remains challenging. Here, we describe modular base-editing-activity 'sensors' that link sgRNAs and cognate target sites in cis and use them to systematically measure the editing efficiency and precision of thousands of sgRNAs paired with functionally distinct base editors. By quantifying sensor editing across >200,000 editor-sgRNA combinations, we provide a comprehensive resource of sgRNAs for introducing and interrogating cancer-associated single nucleotide variants in multiple model systems. We demonstrate that sensor-validated tools streamline production of in vivo cancer models and that integrating sensor modules in pooled sgRNA libraries can aid interpretation of high-throughput base editing screens. Using this approach, we identify several previously uncharacterized mutant TP53 alleles as drivers of cancer cell proliferation and in vivo tumor development. We anticipate that the framework described here will facilitate the functional interrogation of cancer variants in cell and animal models.

Item Type: Paper
Subjects: bioinformatics
diseases & disorders > cancer
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification
diseases & disorders
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
Investigative techniques and equipment
diseases & disorders > neoplasms
Investigative techniques and equipment > CRISPR-Cas9
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > single nucleotide polymorphism
CSHL Authors:
Communities: CSHL labs > Lowe lab
CSHL Cancer Center Program
CSHL Cancer Center Program > Cancer Genetics and Genomics Program
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 14 February 2022
Date Deposited: 02 Mar 2022 22:38
Last Modified: 09 Feb 2024 20:21
PMCID: PMC9232935
URI: https://repository.cshl.edu/id/eprint/40537

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