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Enhancement of red blood cell transfusion compatibility using CRISPR-mediated erythroblast gene editing.
Regular blood transfusion is the cornerstone of care for patients with red blood cell (RBC) disorders such as thalassaemia or sickle-cell disease. With repeated transfusion, alloimmunisation often occurs due to incompatibility at the level of minor blood group antigens. We use CRISPR-mediated genome editing of an immortalised human erythroblast cell line (BEL-A) to generate multiple enucleation competent cell lines deficient in individual blood groups. Edits are combined to generate a single cell line deficient in multiple antigens responsible for the most common transfusion incompatibilities: ABO (Bombay phenotype), Rh (Rhnull), Kell (K0), Duffy (Fynull), GPB (S-s-U-). These cells can be differentiated to generate deformable reticulocytes, illustrating the capacity for coexistence of multiple rare blood group antigen null phenotypes. This study provides the first proof-of-principle demonstration of combinatorial CRISPR-mediated blood group gene editing to generate customisable or multi-compatible RBCs for diagnostic reagents or recipients with complicated matching requirements.
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RNAi-mediated control of CRISPR functions.
CRISPR-Cas9 has become a versatile tool for genome editing and regulation, and strategies to effectively control its activity have attracted much attention. RNAi, also a gene-regulating tool, is used as another mechanism by which eukaryotes resist the invasion of foreign genetic material. Methods: In this study, we analyzed the quantitative inhibition of the CRISPR system by using artificial miRNAs (amiRNAs) combined with the RNAi enhancer enoxacin to improve the targeting specificity of the CRISPR system. Furthermore, we examined the feasibility of improving the efficiency of gene editing and regulation by blocking the effects of natural intracellular miRNAs on sgRNAs. Results: amiRNAs targeting the sgRNA were used to control its expression, and the small molecule drug denoxacin was utilized to enhance this effect, especially in the presence of Cas9. amiRNA/enoxacin inhibited CRISPR-mediated gene editing and regulation both in vitro and in vivo and could tune sgRNA-targeting specificity. Furthermore, CRISPR efficiency was increased by blocking the effects of endogenous miRNAs. Conclusion: Our study provides an efficient molecular switch for conditional regulation of CRISPR activities in mammalian cells and also presents potentially useful approaches for solving current key issues of off-target effects and low targeting efficiency.
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Current and future prospects for CRISPR-based tools in bacteria.
CRISPR-Cas systems have rapidly transitioned from intriguing prokaryotic defense systems to powerful and versatile biomolecular tools. This article reviews how these systems have been translated into technologies to manipulate bacterial genetics, physiology, and communities. Recent applications in bacteria have centered on multiplexed genome editing, programmable gene regulation, and sequence-specific antimicrobials, while future applications can build on advances in eukaryotes, the rich natural diversity of CRISPR-Cas systems, and the untapped potential of CRISPR-based DNA acquisition. Overall, these systems have formed the basis of an ever-expanding genetic toolbox and hold tremendous potential for our future understanding and engineering of the bacterial world.
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Systems-Level Modeling for CRISPR-Based Metabolic Engineering.
The CRISPR-Cas system has enabled the development of sophisticated, multigene metabolic engineering programs through the use of guide RNA-directed activation or repression of target genes. To optimize biosynthetic pathways in microbial systems, we need improved models to inform design and implementation of transcriptional programs. Recent progress has resulted in new modeling approaches for identifying gene targets and predicting the efficacy of guide RNA targeting. Genome-scale and flux balance models have successfully been applied to identify targets for improving biosynthetic production yields using combinatorial CRISPR-interference (CRISPRi) programs. The advent of new approaches for tunable and dynamic CRISPR activation (CRISPRa) promises to further advance these engineering capabilities. Once appropriate targets are identified, guide RNA prediction models can lead to increased efficacy in gene targeting. Developing improved models and incorporating approaches from machine learning may be able to overcome current limitations and greatly expand the capabilities of CRISPR-Cas9 tools for metabolic engineering.
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Unveiling Off-Target Mutations in CRISPR Guide RNAs: Implications for Gene Region Specificity.
The revolutionary CRISPR-Cas9 technology has revolutionized genetic engineering, and it holds immense potential for therapeutic interventions. However, the presence of off-target mutations and mismatch capacity poses significant challenges to its safe and precise implementation. In this study, we explore the implications of off-target effects on critical gene regions, including exons, introns, and intergenic regions. Leveraging a benchmark dataset and using innovative data preprocessing techniques, we have put forth the advantages of categorical encoding over one-hot encoding in training machine learning classifiers. Crucially, we use latent class analysis (LCA) to uncover subclasses within the off-target range, revealing distinct patterns of gene region disruption. Our comprehensive approach not only highlights the critical role of model complexity in CRISPR applications but also offers a transformative off-target scoring procedure based on ML classifiers and LCA. By bridging the gap between traditional target-off scoring and comprehensive model analysis, our study advances the understanding of off-target effects and opens new avenues for precision genome editing in diverse biological contexts. This work represents a crucial step toward ensuring the safety and efficacy of CRISPR-based therapies, underscoring the importance of responsible genetic manipulation for future therapeutic applications.
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CRISPR-based genome editing in wheat: a comprehensive review and future prospects.
CRISPR technology has vividly increased its applications in last five years for genome editing in a wide range of organisms from bacteria to plants. It is mostly applied in the field of mammalian research. This emerging versatile tool can be utilized in crop improvement by targeting various traits to increase economic value and adaptability of the crop species under changing climate. In plants, Arabidopsis and rice are the most studied plant species in genome editing through CRISPR technology. Wheat is lagging behind in the utilization of CRISPR based genome modifications. The hexaploid, large genome size and the recalcitrant nature in terms of tissue culture are the major obstacles for CRISPR utilization in wheat. Recently, the IWGSC released the high quality of reference genome for wheat which will greatly accelerate the application of CRISPR-based genome engineering in wheat and helps to resolve the global issue of food security in coming decades. The exogenous DNA-free improved mutants with CRISPR technology having desired traits will increase the productivity under biotic and abiotic stress conditions. To address complex traits involving multigene, recently developed multiplex genome editing toolkits can be used. This is a first review of its kind in which the practical utilization and updates on CRISPR validation in wheat along with its future prospects for use of this technology in wheat improvement are comprehensively discussed. Thus, the compiled information will immensely benefit the researchers for utilization of CRISPR system in wheat improvement across the globe.
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Optimizing a CRISPR-Cpf1-based genome engineering system for Corynebacterium glutamicum.
BACKGROUND: Corynebacterium glutamicum is an important industrial strain for the production of a diverse range of chemicals. Cpf1 nucleases are highly specific and programmable, with efficiencies comparable to those of Cas9. Although the Francisella novicida (Fn) CRISPR-Cpf1 system has been adapted for genome editing in C. glutamicum, the editing efficiency is currently less than 15%, due to false positives caused by the poor targeting efficiency of the crRNA. RESULTS: To address this limitation, a screening strategy was developed in this study to systematically evaluate crRNA targeting efficiency in C. glutamicum. We quantitatively examined various parameters of the C. glutamicum CRISPR-Cpf1 system, including the protospacer adjacent motif (PAM) sequence, the length of the spacer sequence, and the type of repair template. We found that the most efficient C. glutamicum crRNA contained a 5'-NYTV-3' PAM and a 21 bp spacer sequence. Moreover, we observed that linear DNA could be used to repair double strand breaks. CONCLUSIONS: Here, we identified optimized PAM-related parameters for the CRISPR-Cpf1 system in C. glutamicum. Our study sheds light on the function of the FnCpf1 endonuclease and Cpf1-based genome editing. This optimized system, with higher editing efficiency, could be used to increase the production of bulk chemicals, such as isobutyrate, in C. glutamicum.
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CHST6 mutations identified in Iranian MCD patients and CHST6 mutations reported worldwide identify targets for gene editing approaches including the CRISPR/Cas system.
PURPOSE: To identify CHST6 mutations in Iranians macular corneal dystrophy (MCD) patients and also to assess distribution of amino acids in the encoded protein that are affected by CHST6 mutations reported hitherto in various populations in order to predict gene regions that may be appropriate targets for gene editing approaches including the CRISPR/Cas system. The analysis will also reveal biologically and functionally important regions of the protein. METHODS: Mutation screening of CHST6 by sequencing was performed on 21 Iranian MCD-affected probands. Previously reported MCD causing CHST6 mutations were identified by searches in NCBI. RESULTS: Nineteen CHST6 mutations were found among the 21 Iranian patients, most of which were missense mutations and six of which were novel. Totally, 189 mutations among 375 MCD patients have been found worldwide, and 134 of these are missense mutations. The distribution of 88 amino acids affected by missense mutations along the length of the encoded protein was not random, and four regions of possible mutation clustering were noted. 25% of patients harbored mutations in a DNA region consisting of only 36 nucleotides. CONCLUSION: Similar to most populations, CHST6 mutations among Iranians are very heterogeneous as indicated by finding 19 different mutations among 21 MCD patients. Nevertheless, identification of four potential mutation clusters identifies regions that are most suitable for gene therapy targeting by the CRISPR/Cas approach. Additionally, the mutation clusters identify regions with potential structural and/or functional importance. Consistent with this, the amino acids in these regions are well conserved among various membrane-bound sulfotransferases.
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An Overview and Comparative Analysis of CRISPR-SpCas9 gRNA Activity Prediction Tools.
Design of guide RNA (gRNA) with high efficiency and specificity is vital for successful application of the CRISPR gene editing technology. Although many machine learning (ML) and deep learning (DL)-based tools have been developed to predict gRNA activities, a systematic and unbiased evaluation of their predictive performance is still needed. Here, we provide a brief overview of in silico tools for CRISPR design and assess the CRISPR datasets and statistical metrics used for evaluating model performance. We benchmark seven ML and DL-based CRISPR-Cas9 editing efficiency prediction tools across nine CRISPR datasets covering six cell types and three species. The DL models CRISPRon and DeepHF outperform the other models exhibiting greater accuracy and higher Spearman correlation coefficient across multiple datasets. We compile all CRISPR datasets and in silico prediction tools into a GuideNet resource web portal, aiming to facilitate and streamline the sharing of CRISPR datasets. Furthermore, we summarize features affecting CRISPR gene editing activity, providing important insights into model performance and the further development of more accurate CRISPR prediction models.
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Ethical Issues Regarding CRISPR Mediated Genome Editing.
CRISPR-Cas9 has emerged as a simple, precise and most rapid genome editing technology. With a number of promising applications ranging from agriculture and environment to clinical therapeutics, it is greatly transforming the field of molecular biology. However, there are certain ethical, moral and safety concerns related to the attractive applications of this technique. The most contentious issues concerning human germline modifications are the challenges to human safety and morality such as risk of unforeseen, undesirable effects in clinical applications particularly to correct or prevent genetic diseases, matter of informed consent and the risk of exploitation for eugenics. Stringent regulations and guidelines as well as worldwide debate and awareness are required to ensure responsible and wise use of CRISPR mediated genome editing technology. There is a need for an extensive dialogue among scientists, ethicists, industrialists and policy makers on its societal implications. The opinion of different elements of the society including the general public as well as religious scholars is also critical. In countries with existing legislative framework, it might be appropriate to allow CRISPR based research to proceed with proper justification. However, much anticipated future clinical applications must be strictly regulated with newly established regulations.
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