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Genome Editing and Inherited Cardiac Arrhythmias.
Inherited arrhythmic disorders are a group of heterogeneous diseases predisposing to life-threatening arrhythmias and sudden cardiac death. Their diagnosis is not always simple due to incomplete penetrance and genetic heterogeneity. Furthermore, the available treatments are usually invasive and merely preventive. Genome editing and especially CRISPR/Cas9 technologies have the potential to correct the genetic arrhythmogenic substrate, thereby offering a cure for these fatal diseases. To date, genome editing has allowed reproducing cardiac arrhythmias in vitro, providing a robust platform for variant pathogenicity, mechanistic, and drug-testing studies. However, in vivo approaches still need profound research regarding safety, specificity, and efficiency of the methods.
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Gene Editing in Potato Using CRISPR-Cas9 Technology.
Genome editing in the cultivated potato (Solanum tuberosum), a vegetatively propagated and highly heterozygous species, constitutes a promising trail to directly improve traits into elite cultivars. With the recent and successful development of the clustered regularly interspaced short palindromic repeat (CRISPR)-Cas9 system in eukaryotic cells, the plant science community has gained access to a powerful, inexpensive, and easy-to-use toolbox to target and inactivate/modify specific genes. The specificity and versatility of the CRISPR-Cas9 system rely on a variable 20 bp spacer sequence at the 5' end of a single-guide RNA (sgRNA), which directs the SpCas9 (Streptococcus pyogenes) nuclease to cut the target DNA at a precise locus with no or low off-target events. Using this system, we and other teams were able to knock out specific genes in potato through the error-prone non-homologous end-joining (NHEJ) DNA repair mechanism. In this chapter, we describe strategies to design and clone spacer sequences into CRISPR-SpCas9 plasmids. We show how these constructs can be used for Agrobacterium-mediated stable transformation or transient transfection of protoplasts, and we describe the optimization of these two delivery methods, as well as of the plant regeneration processes. Finally, the molecular screening and characterization of edited potato plants are also described, mainly relying on PCR-based methods such as high-resolution melt (HRM) analysis.
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PrimeNet: rational design of Prime editing pegRNAs by deep learning.
The rapid development of gene editing technology has revolutionized life science research and biotechnology applications. Prime editing, a precise gene editing tool, has shown promise in various applications, including disease research and therapeutic interventions. However, its suboptimal editing efficiency for extensive fragments and lack of predictive models have hindered its widespread adoption. Existing models exhibit low prediction accuracy and limitations, such as neglecting epigenetic factors that impact gene editing effects. To address these challenges, we developed PrimeNet, a novel prediction model that integrates significant epigenetic factors, including chromatin accessibility and DNA methylation. By incorporating data from multiple cell lines and introducing multiscale convolution and attention mechanisms, PrimeNet enhances the accuracy of predictions and generalization performance. Our results show that PrimeNet achieves a Spearman correlation coefficient of 0.94 and 0.82 on two datasets originated from HEK293T and K562 cell lines, respectively, outperforming existing models. This novel model has the potential to guide experimental design, enhance the success rate of gene editing, and reduce unnecessary experimental costs, thereby advancing the application of gene editing technology in genetic disease treatment and related fields.
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Cas9 Ribonucleoprotein Complex Delivery: Methods and Applications for Neuroinflammation.
The CRISPR/Cas9 system is a revolutionary gene editing technology that combines simplicity of use and efficiency of mutagenesis. As this technology progresses toward human therapies, valid concerns including off-target mutations and immunogenicity must be addressed. One approach to address these issues is to minimize the presence of the CRISPR/Cas9 components by maintaining a tighter temporal control of Cas9 endonuclease and reducing the time period of activity. This has been achieved to some degree by delivering the CRISPR/Cas9 system via pre-formed Cas9 + gRNA ribonucleoprotein (RNP) complexes. In this review, we first discuss the molecular modifications that can be made using CRISPR/Cas9 and provide an overview of current methods for delivering Cas9 RNP complexes both in vitro and in vivo. We conclude with examples of how Cas9 RNP delivery may be used to target neuroinflammatory processes, namely in regard to viral infections of the central nervous system and neurodegenerative diseases. We propose that Cas9 RNP delivery is a viable approach when considering the CRISPR/Cas9 system for both experimentation and the treatment of disease. Graphical Abstract.
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Physicochemical and Functional Characterization of Differential CRISPR-Cas9 Ribonucleoprotein Complexes.
Advances in gene-editing technology enable efficient, targeted ex vivo engineering of different cell types, which offer a potential therapeutic platform for most challenging disease areas. CRISPR-Cas9 is a widely used gene-editing tool in therapeutic applications. The quality of gene-editing reagents (i.e., Cas9 nuclease, single guide (sg)RNA) is associated with the final cellular product quality as they can impact the gene-editing accuracy and efficiency. To assess the impact of the quality of Cas9 protein and sgRNA in the formation of a Cas9 ribonucleoprotein (RNP) complex, stability, and functional activities, we developed a size exclusion chromatography method that utilizes multiple detectors and an in vitro DNA cleavage assay using anion-exchange chromatography. Using these methods, we characterized the formation and stability of Cas9 RNP complexes associated with Cas9 and sgRNA characteristics as well as their functional activities. Multi-angle light scattering characterization showed different types and levels of aggregates in different source sgRNA materials, which contribute to form different Cas9 RNP complexes. The aggregations irreversibly dissociated at high temperatures. When the Cas9 RNP complexes derived from non-heated and heated sgRNAs were characterized, the data showed that specific RNP peaks were impacted. The Cas9 RNP complexes derived from the heated sgRNA retained their biological function and cleaved the double-strand target DNA at a higher rate. This work provides new tools to characterize the Cas9 RNP complex formation, stability, and functional activity and provides insights into sgRNA properties and handling procedures to better control the Cas9 RNP complex formation.
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Expanding the RNA-editing toolbox.
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PreAcrs: a machine learning framework for identifying anti-CRISPR proteins.
BACKGROUND: Anti-CRISPR proteins are potent modulators that inhibit the CRISPR-Cas immunity system and have huge potential in gene editing and gene therapy as a genome-editing tool. Extensive studies have shown that anti-CRISPR proteins are essential for modifying endogenous genes, promoting the RNA-guided binding and cleavage of DNA or RNA substrates. In recent years, identifying and characterizing anti-CRISPR proteins has become a hot and significant research topic in bioinformatics. However, as most anti-CRISPR proteins fall short in sharing similarities to those currently known, traditional screening methods are time-consuming and inefficient. Machine learning methods could fill this gap with powerful predictive capability and provide a new perspective for anti-CRISPR protein identification. RESULTS: Here, we present a novel machine learning ensemble predictor, called PreAcrs, to identify anti-CRISPR proteins from protein sequences directly. Three features and eight different machine learning algorithms were used to train PreAcrs. PreAcrs outperformed other existing methods and significantly improved the prediction accuracy for identifying anti-CRISPR proteins. CONCLUSIONS: In summary, the PreAcrs predictor achieved a competitive performance for predicting new anti-CRISPR proteins in terms of accuracy and robustness. We anticipate PreAcrs will be a valuable tool for researchers to speed up the research process. The source code is available at: https://github.com/Lyn-666/anti_CRISPR.git .
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CRISPR-Mediated Viral Gene Knockout to Investigate Viral Evasion of Antiviral Innate Immunity.
The innate immune system relies on a variety of pathogen recognition receptors (PRRs) as the first line of defense against pathogenic invasions. Viruses have evolved multiple strategies to evade the host immune system through coevolution with hosts. The CRISPR-Cas system is an adaptive immune system in bacteria or archaea that defends against viral reinvasion by targeting nucleic acids for cleavage. Based on the characteristics of Cas proteins and their variants, the CRISPR-Cas system has been developed into a versatile gene-editing tool capable of gene knockout or knock-in operations to achieve genetic variations in organisms. It is now widely used in the study of viral immune evasion mechanisms. This chapter will introduce the use of the CRISPR-Cas9 system for editing herpes simplex virus 1 (HSV-1) genes to explore the mechanisms by which HSV-1 evades host innate immunity and the experimental procedures involved.
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Genome editor gets more versatile and precise.
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Easy quantification of template-directed CRISPR/Cas9 editing.
Template-directed CRISPR/Cas9 editing is a powerful tool for introducing subtle mutations in genomes. However, the success rate of incorporation of the desired mutations at the target site is difficult to predict and therefore must be empirically determined. Here, we adapted the widely used TIDE method for quantification of templated editing events, including point mutations. The resulting TIDER method is a rapid, cheap and accessible tool for testing and optimization of template-directed genome editing strategies. A free web tool for TIDER data analysis is available at http://tide.nki.nl.
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