CRISPR-associated transposases (CASTs) direct DNA integration downstream of target sites using the RNA-guided DNA binding activity of nuclease-deficient CRISPR-Cas systems. Transposition relies on several key protein-protein and protein-DNA interactions, but little is known about the explicit sequence requirements governing efficient transposon DNA integration activity. Here, we exploit pooled library screening and high-throughput sequencing to reveal novel sequence determinants during transposition by the Type I-F Vibrio cholerae CAST system (VchCAST). On the donor DNA, large transposon end libraries revealed binding site nucleotide preferences for the TnsB transposase, as well as an additional conserved region that encoded a consensus binding site for integration host factor (IHF). Remarkably, we found that VchCAST requires IHF for efficient transposition, thus revealing a novel cellular factor involved in CRISPR-associated transpososome assembly. On the target DNA, we uncovered preferred sequence motifs at the integration site that explained previously observed heterogeneity with single-base pair resolution. Finally, we exploited our library data to design modified transposon variants that enable in-frame protein tagging. Collectively, our results provide new clues about the assembly and architecture of the paired-end complex formed between TnsB and the transposon DNA, and inform the design of custom payload sequences for genome engineering applications with CAST systems.
Direct visualization of point mutations in situ can be informative for studying genetic diseases and nuclear biology. We describe a direct hybridization genome imaging method with single-nucleotide sensitivity, single guide genome oligopaint via local denaturation fluorescence in situ hybridization (sgGOLDFISH), which leverages the high cleavage specificity of eSpCas9(1.1) variant combined with a rationally designed guide RNA to load a superhelicase and reveal probe binding sites through local denaturation. The guide RNA carries an intentionally introduced mismatch so that while wild-type target DNA sequence can be efficiently cleaved, a mutant sequence with an additional mismatch (e.g., caused by a point mutation) cannot be cleaved. Because sgGOLDFISH relies on genomic DNA being cleaved by Cas9 to reveal probe binding sites, the probes will only label the wild-type sequence but not the mutant sequence. Therefore, sgGOLDFISH has the sensitivity to differentiate the wild-type and mutant sequences differing by only a single base pair. Using sgGOLDFISH, we identify base-editor-modified and unmodified progeroid fibroblasts from a heterogeneous population, validate the identification through progerin immunofluorescence, and demonstrate accurate sub-nuclear localization of point mutations.
more » « less- NSF-PAR ID:
- 10385807
- Publisher / Repository:
- Nature Publishing Group
- Date Published:
- Journal Name:
- Nature Communications
- Volume:
- 13
- Issue:
- 1
- ISSN:
- 2041-1723
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Adenine base editors (ABEs) are valuable, precise genome editing tools in plants. In recent years, the highly promising ADENINE BASE EDITOR8e (ABE8e) was reported for efficient A-to-G editing. However, compared to monocots, comprehensive off-target analyses for ABE8e are lacking in dicots. To determine the occurrence of off-target effects in tomato (Solanum lycopersicum), we assessed ABE8e and a high-fidelity version, ABE8e-HF, at 2 independent target sites in protoplasts, as well as stable T0 lines. Since ABE8e demonstrated higher on-target efficiency than ABE8e-HF in tomato protoplasts, we focused on ABE8e for off-target analyses in T0 lines. We conducted whole-genome sequencing (WGS) of wild-type (WT) tomato plants, green fluorescent protein (GFP)–expressing T0 lines, ABE8e-no-gRNA control T0 lines, and edited T0 lines. No guide RNA (gRNA)–dependent off-target edits were detected. Our data showed an average of approximately 1,200 to 1,500 single-nucleotide variations (SNVs) in either GFP control plants or base-edited plants. Also, no specific enrichment of A-to-G mutations were found in base-edited plants. We also conducted RNA sequencing (RNA-seq) of the same 6 base-edited and 3 GFP control T0 plants. On average, approximately 150 RNA–level SNVs were discovered per plant for either base-edited or GFP controls. Furthermore, we did not find enrichment of a TA motif on mutated adenine in the genomes and transcriptomes in base-edited tomato plants, as opposed to the recent discovery in rice (Oryza sativa). Hence, we could not find evidence for genome- and transcriptome-wide off-target effects by ABE8e in tomato.
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Abstract CRISPR‐Cas9 genome editing technologies have enabled complex genetic manipulations in situ, including large‐scale, pooled screening approaches to probe and uncover mechanistic insights across various biological processes. The RNA‐programmable nature of CRISPR‐Cas9 greatly empowers tiling mutagenesis approaches to elucidate molecular details of protein function, in particular the interrogation of mechanisms of resistance to small molecules, an approach termed CRISPR‐suppressor scanning. In a typical CRISPR‐suppressor scanning experiment, a pooled library of single‐guide RNAs is designed to target across the coding sequence(s) of one or more genes, enabling the Cas9 nuclease to systematically mutate the targeted proteins and generate large numbers of diverse protein variants in situ. This cellular pool of protein variants is then challenged with drug treatment to identify mutations conferring a fitness advantage. Drug‐resistance mutations identified with this approach can not only elucidate drug mechanism of action but also reveal deeper mechanistic insights into protein structure‐function relationships. In this article, we outline the framework for a standard CRISPR‐suppressor scanning experiment. Specifically, we provide instructions for the design and construction of a pooled sgRNA library, execution of a CRISPR‐suppressor scanning screen, and basic computational analysis of the resulting data. © 2022 Wiley Periodicals LLC.
Basic Protocol 1 : Design and generation of a pooled sgRNA librarySupport Protocol 1 : sgRNA library design using command‐line CRISPORSupport Protocol 2 : Production and titering of pooled sgRNA library lentivirusBasic Protocol 2 : Execution and analysis of a CRISPR‐suppressor scanning experiment
