Automated design of CRISPR prime editors for 56,000 human pathogenic variants

The Potential and Challenges of Human Pluripotent Stem Cells in the Treatment of Diabetic Nephropathy

Diabetic nephropathy (DN) is a prevalent complication of diabetes, with current treatment options offering limited effectiveness, particularly in advanced stages. Human pluripotent stem cells (hPSCs), particularly induced PSCs (iPSCs), show promising potential in the treatment of DN due to their pluripotency, capacity for differentiation into kidney-specific cells, and suitability for personalized therapies. iPSC-based personalized approaches can effectively mitigate immune rejection, a common challenge with allogeneic transplants, thus enhancing therapeutic outcomes. Clustered regularly interspaced short palindromic repeats (CRISPR) gene editing further enhances the potential of hPSCs by enabling the precise correction of disease-associated genetic defects, increasing both the safety and efficacy of therapeutic cells. In addition to direct treatment, hPSCs have proven valuable in disease modeling and drug screening, particularly for identifying and validating disease-specific targets. Kidney organoids derived from hPSCs replicate key features of DN pathology, making them useful platforms for validating therapeutic targets and assessing drug efficacy. Comparatively, both hPSCs and mesenchymal SCs (MSCs) have shown promise in improving renal function in preclinical models, with hPSCs offering broader differentiation capacity. Integration with tissue engineering technologies, such as three-dimensional bioprinting and bioengineered scaffolds, expands the regenerative potential of hPSCs by supporting the formation of functional renal structures and enhancing in vivo integration and regenerative capacity. Despite current challenges, such as tumorigenicity, genomic instability, and limited direct research, advances in gene editing, differentiation protocols, and tissue engineering promise to address these barriers. Continued optimization of these approaches will likely lead to successful clinical applications of hPSCs, potentially revolutionizing treatment options for DN.

Using Prime Editing Guide Generator (PEGG) for high-throughput generation of prime editing sensor libraries

Prime editing enables the generation of nearly any small genetic variant. However, the process of prime editing guide RNA (pegRNA) design is challenging and requires automated computational design tools. We developed Prime Editing Guide Generator (PEGG), a fast, flexible, and user-friendly Python package that enables the rapid generation of pegRNA and pegRNA-sensor libraries. Here, we describe the installation and use of PEGG (https://pegg.readthedocs.io) to rapidly generate custom pegRNA-sensor libraries for use in high-throughput prime editing screens.

DTMP-prime: A deep transformer-based model for predicting prime editing efficiency and PegRNA activity

Prime editors are CRISPR-based genome engineering tools with significant potential for rectifying patient mutations. However, their usage requires experimental optimization of the prime editing guide RNA (PegRNA) to achieve high editing efficiency. This paper introduces the deep transformer-based model for predicting prime editing efficiency (DTMP-Prime), a tool specifically designed to predict PegRNA activity and prime editing (PE) efficiency. DTMP-Prime facilitates the design of appropriate PegRNA and ngRNA. A transformer-based model was constructed to scrutinize a wide-ranging set of PE data, enabling the extraction of effective features of PegRNAs and target DNA sequences. The integration of these features with the proposed encoding strategy and DNABERT-based embedding has notably improved the predictive capabilities of DTMP-Prime for off-target sites. Moreover, DTMP-Prime is a promising tool for precisely predicting off-target sites in CRISPR experiments. The integration of a multi-head attention framework has additionally improved the precision and generalizability of DTMP-Prime across various PE models and cell lines. Evaluation results based on the Pearson and Spearman correlation coefficient demonstrate that DTMP-Prime outperforms other state-of-the-art models in predicting the efficiency and outcomes of PE experiments.

CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments

The introduction of genome engineering technology has transformed biomedical research, making it possible to make precise changes to genetic information. However, creating an efficient gene-editing system requires a deep understanding of CRISPR technology, and the complex experimental systems under investigation. While Large Language Models (LLMs) have shown promise in various tasks, they often lack specific knowledge and struggle to accurately solve biological design problems. In this work, we introduce CRISPR-GPT, an LLM agent augmented with domain knowledge and external tools to automate and enhance the design process of CRISPR-based gene-editing experiments. CRISPR-GPT leverages the reasoning ability of LLMs to facilitate the process of selecting CRISPR systems, designing guide RNAs, recommending cellular delivery methods, drafting protocols, and designing validation experiments to confirm editing outcomes. We showcase the potential of CRISPR-GPT for assisting non-expert researchers with gene-editing experiments from scratch and validate the agent's effectiveness in a real-world use case. Furthermore, we explore the ethical and regulatory considerations associated with automated gene-editing design, highlighting the need for responsible and transparent use of these tools. Our work aims to bridge the gap between biological researchers across various fields with CRISPR genome engineering technology and demonstrate the potential of LLM agents in facilitating complex biological discovery tasks.

Prime editing in plants: prospects and challenges

Prime editors are reverse transcriptase (RT)-based genome-editing tools that utilize double-strand break (DSB)-free mechanisms to decrease off-target editing in genomes and enhance the efficiency of targeted insertions. The multiple prime editors that have been developed within a short span of time are a testament to the potential of this technique for targeted insertions. This is mainly because of the possibility of generation of all types of mutations including deletions, insertions, transitions, and transversions. Prime editing reverses several bottlenecks of gene editing technologies that limit the biotechnological applicability to produce designer crops. This review evaluates the status and evolution of the prime editing technique in terms of the types of editors available up to prime editor 5 and twin prime editors, and considers the developments in plants in a systematic manner. The various factors affecting prime editing efficiency in plants are discussed in detail, including the effects of temperature, the prime editing guide (peg)RNA, and RT template amongst others. We discuss the current obstructions, key challenges, and available resolutions associated with the technique, and consider future directions and further improvements that are feasible to elevate the efficiency in plants.

How CRISPR Is Revolutionizing the Generation of New Models for Cancer Research

Cancers arise through acquisition of mutations in genes that regulate core biological processes like cell proliferation and cell death. Decades of cancer research have led to the identification of genes and mutations causally involved in disease development and evolution, yet defining their precise function across different cancer types and how they influence therapy responses has been challenging. Mouse models have helped define the in vivo function of cancer-associated alterations, and genome-editing approaches using CRISPR have dramatically accelerated the pace at which these models are developed and studied. Here, we highlight how CRISPR technologies have impacted the development and use of mouse models for cancer research and discuss the many ways in which these rapidly evolving platforms will continue to transform our understanding of this disease.

High-throughput evaluation of genetic variants with prime editing sensor libraries

Tumor genomes often harbor a complex spectrum of single nucleotide alterations and chromosomal rearrangements that can perturb protein function. Prime editing has been applied to install and evaluate genetic variants, but previous approaches have been limited by the variable efficiency of prime editing guide RNAs. Here we present a high-throughput prime editing sensor strategy that couples prime editing guide RNAs with synthetic versions of their cognate target sites to quantitatively assess the functional impact of endogenous genetic variants. We screen over 1,000 endogenous cancer-associated variants of TP53-the most frequently mutated gene in cancer-to identify alleles that impact p53 function in mechanistically diverse ways. We find that certain endogenous TP53 variants, particularly those in the p53 oligomerization domain, display opposite phenotypes in exogenous overexpression systems. Our results emphasize the physiological importance of gene dosage in shaping native protein stoichiometry and protein-protein interactions, and establish a framework for studying genetic variants in their endogenous sequence context at scale.

The Development, Optimization and Future of Prime Editing

Prime editing is a rapidly developing method of CRISPR/Cas-based genome editing. The increasing number of novel PE applications and improved versions demands constant analysis and evaluation. The present review covers the mechanism of prime editing, the optimization of the method and the possible next step in the evolution of CRISPR/Cas9-associated genome editing. The basic components of a prime editing system are a prime editor fusion protein, consisting of nickase and reverse transcriptase, and prime editing guide RNA, consisting of a protospacer, scaffold, primer binding site and reverse transcription template. Some prime editing systems include other parts, such as additional RNA molecules. All of these components were optimized to achieve better efficiency for different target organisms and/or compactization for viral delivery. Insights into prime editing mechanisms allowed us to increase the efficiency by recruiting mismatch repair inhibitors. However, the next step in prime editing evolution requires the incorporation of new mechanisms. Prime editors combined with integrases allow us to combine the precision of prime editing with the target insertion of large, several-kilobase-long DNA fragments.

Optimized prime editing in monocot plants using PlantPegDesigner and engineered plant prime editors (ePPEs)

Prime editors (PEs), which can install desired base edits without donor DNA or double-strand breaks, have been used in plants and can, in principle, accelerate crop improvement and breeding. However, their editing efficiency in plants is generally low. Optimizing the prime editing guide RNA (pegRNA) by designing the sequence on the basis of melting temperature, using dual-pegRNAs and engineering PEs have all been shown to enhance PE efficiency. In addition, an automated pegRNA design platform, PlantPegDesigner, has been developed on the basis of rice prime editing experimental data. In this protocol, we present detailed protocols for designing and optimizing pegRNAs using PlantPegDesigner, constructing engineered plant PE vectors with enhanced editing efficiency for prime editing, evaluating prime editing efficiencies using a reporter system and comparing the effectiveness and byproducts of PEs by deep amplicon sequencing. Using this protocol, researchers can construct optimized pegRNAs for prime editing in 4-7 d and obtain prime-edited rice or wheat plants within 3 months.

Adding a Chemical Biology Twist to CRISPR Screening

In less than a decade, CRISPR screening has revolutionized forward genetics and cell and molecular biology. Advances in screening technologies, including sgRNA libraries, Cas9-expressing cell lines, and streamlined sequencing pipelines, have democratized pooled CRISPR screens at genome-wide scale. Initially, many such screens were survival-based, identifying essential genes in physiological or perturbed processes. With the application of new chemical biology tools to CRISPR screening, the phenotypic space is no longer limited to live/dead selection or screening for levels of conventional fluorescent protein reporters. Further, the resolution has been increased from cell populations to single cells or even the subcellular level. We highlight advances in pooled CRISPR screening, powered by chemical biology, that have expanded phenotypic space, resolution, scope, and scalability as well as strengthened the CRISPR/Cas enzyme toolkit to enable biological hypothesis generation and discovery.

Future Perspectives of Prime Editing for the Treatment of Inherited Retinal Diseases

Inherited retinal diseases (IRD) are a clinically and genetically heterogenous group of diseases and a leading cause of blindness in the working-age population. Even though gene augmentation therapies have shown promising results, they are only feasible to treat a small number of autosomal recessive IRDs, because the size of the gene is limited by the vector used. DNA editing however could potentially correct errors regardless of the overall size of the gene and might also be used to correct dominant mutations. Prime editing is a novel CRISPR/Cas9 based gene editing tool that enables precise correction of point mutations, insertions, and deletions without causing double strand DNA breaks. Due to its versatility and precision this technology may be a potential treatment option for virtually all genetic causes of IRD. Since its initial description, the prime editing technology has been further improved, resulting in higher efficacy and a larger target scope. Additionally, progress has been achieved concerning the size-related delivery issue of the prime editor components. This review aims to give an overview of these recent advancements and discusses prime editing as a potential treatment for IRDs.

Current advancement in the application of prime editing

Prime editing (PE) is a precise genome manipulation technology based on the "search and replace" approach of the CRISPR-Cas9 system, while it does not require the exogenous donor DNA and the DNA double-strand breaks (DSBs). Comparing the base editing technology, the editing scope of prime editing has been widely expanded. Prime editing has been successfully applied in a variety of plant cells, animal cells and the model microorganism Escherichia coli so far, and it has shown a good application potential in breeding and genomic functional study of animals and plants, disease treatment, and modification of the microbial strains. In this paper, the basic strategies of prime editing are briefly described, and its research progress is summarized and prospected from the application of multiple species. In addition, a variety of optimization strategies for improving its efficiency and specificity of prime editing are outlined.

Prime Editing in Mammals: The Next Generation of Precision Genome Editing

The recently established prime editor (PE) system is regarded as next-generation gene-editing technology. This methodology can install any base-to-base change as well as insertions and deletions without the requirement for double-stranded break formation or donor DNA templates; thus, it offers more targeting flexibility and greater editing precision than conventional CRISPR-Cas systems or base editors. In this study, we introduce the basic principles of PE and then review its most recent progress in terms of editing versatility, specificity, and efficiency in mammals. Next, we summarize key considerations regarding the selection of PE variants, prime editing guide RNA (pegRNA) design rules, and the efficiency and accuracy evaluation of PE. Finally, we highlight and discuss how PE can assist in a wide range of biological studies and how it can be applied to make precise genomic corrections in animal models, which paves the way for curing human diseases.

The potential of CRISPR-Cas9 prime editing for cardiovascular disease research and therapy

PURPOSE OF REVIEW

The ability to edit any genomic sequence has led to a better understanding of gene function and holds promise for the development of therapies for genetic diseases. This review describes prime editing - the latest CRISPR-Cas9 genome editing technology. Prime editing enables precise and accurate genome editing in terminally differentiated, postmitotic cells like cardiomyocytes, paving the way for therapeutic applications for genetic cardiomyopathies.

RECENT FINDINGS

Prime editing has been used to precisely insert up to 40 bases, create deletions up to 80 base pairs, and can perform all 12 possible transition and transversion base mutations with lower indels and off-target effects than other genome editing methods. The development of several software tools has simplified the experimental design and led to increased efficiency of the process. Improvements in methods for in-vivo delivery of the prime editing components should enable this technology to be used to edit the genome in patients.

SUMMARY

Prime editing has the potential to revolutionize the future of biomedical research and transform cardiovascular medicine. Improved understanding of the prime editing process and developments in agent design, efficacy and delivery will benefit scientists and patients and could be an effective way to cure cardiovascular diseases.