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Development of a highly efficient protoplast regeneration and transfection protocol for enhancing CRISPR genome editing of Brassica carinata.

Brassica carinata is an important oil crop with significant potential for food and industrial production. The application of the CRISPR/Cas9 genome editing tool in B. carinata could accelerate its breeding cycle. However, no efficient DNA-free gene editing method currently exists for this species. Protoplast-based CRISPR editing presents a promising solution, though it is often challenging for many crop species. In this study, we investigated several critical factors influencing in vitro shoot regeneration, including genotype, sugar type, selection and combination of plant growth regulators (PGRs), and culture duration on different media throughout various stages of protoplast development. As a result, we developed a highly efficient, five-stage protoplast regeneration protocol for B. carinata based on specific stages of protoplast development. Key findings of this study include the requirement for high concentrations of NAA and 2,4-D in the initial medium (MI) for cell wall formation, while a lower auxin concentration relative to cytokinin was necessary for active cell division (MII). For callus growth and shoot induction, a high cytokinin-to-auxin ratio was essential (MIII), and an even higher cytokinin-to-auxin ratio was optimal for shoot regeneration (MIV). For shoot elongation, low levels of BAP and GA3 were sufficient (MV). Our results also demonstrated that the duration of culture on different media and maintaining appropriate osmotic pressure at the early stages were crucial for successful protoplast regeneration. With this optimized protocol, we achieved an average regeneration frequency of up to 64% and a transfection efficiency of 40% using the GFP marker gene. This efficient protoplast regeneration protocol is now being employed for genome editing in our lab and is expected to significantly enhance the application of the CRISPR system in both basic research and the genetic improvement of B. carinata over the long term.

Brassica carinata

abCRISPR: deep learning-based design of abasic gRNA sequences for specific CRISPR-Cas9 genome editing.

SUMMARY: CRISPR-Cas9 has become a widely used tool for genome editing. However, its off-target cleavage caused by partial sequence matches with guide RNAs (gRNAs) remains a critical limitation. Recently, abasic gRNAs (ØXØ) have been developed to enhance target specificity, but their effects vary depending on the positional sequence context. Here, we present abCRISPR, a deep neural network (DNN) framework for the rational design of ØXØ sequences with minimized off-target activity. abCRISPR leverages informative few-shot training with paired datasets of abasic and unmodified gRNAs, using high-quality random mismatch target libraries, exhaustively sequenced for mismatched off-target substrates (n = 97583) in in vitro CRISPR-Cas9 cleavage experiments. Predicted off-target activities for both abasic and unmodified gRNAs showed strong correlation with experimental data (r ≥ 0.95, 10-fold cross-validation). Notably, these comprehensive training sets provide robust ground-truth negatives, enabling accurate and sensitive prediction of off-targets. For unmodified gRNAs, abCRISPR (AUC = 0.98) was validated to outperform existing deep learning-based methods (AUC = 0.45-0.68). When applied to the human genome, abCRISPR generated ØXØ sequences, covering 58 875 004 potent CRISPR-targetable sites with improved target specificity. Together, this work provides a comprehensive bioinformatics resource for safe and precise CRISPR-Cas9 genome editing. AVAILABILITY AND IMPLEMENTATION: The source code for abCRISPR and training data are available at https://doi.org/10.5281/zenodo.20398246. abCRISPR results for the human genome are available at http://clip.korea.ac.kr/abCRISPR/.

Deep Learning

CRISPR-Cas9 Genome Editing in Auxotrophic and Non-auxotrophic Fission Yeast Strains.

The CRISPR/Cas system is a very powerful genome-editing tool that has been developed over the past decade to optimize genome editing for many organisms. Here, we describe a rapid genome-editing method for fission yeast using the CRISPR-Cas9 system. It allows rapid generation of desired auxotrophic and non-auxotrophic strains without perturbing the local genome content by avoiding the insertion of selection markers at target loci.

CRISPR-Cas Systems

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

MOTIVATION: CRISPR-Cas9 genome-editing efficiency is strongly influenced by the sequence composition and positional context of single-guide RNAs (sgRNAs). Although numerous deep learning-based models have been developed to predict Cas9 efficiency from sgRNA sequences, most operate as black boxes, offering limited insight into the sequence determinants underlying Cas9 activity. In addition, previous studies often overlook how the positional context of sequence motifs within sgRNAs influences their effects on Cas9 binding or cleavage. RESULTS: We introduce DeepCC9, an interpretable machine learning framework that combines explicit sequence feature extraction with a residual block-based deep architecture to improve interpretability and identify composition- and position-based motifs governing Cas9 genome-editing efficiency. We applied this method to multiple Cas9 variant datasets, achieving superior predictive performance compared with existing methods while enabling direct interpretation of sequence motifs and their positional effects. Our analysis uncovered 74 sequence motifs enriched or depleted at specific positions within sgRNAs and strongly associated with Cas9 efficiency, providing mechanistic insight into sequence features that influence guide performance. Together, these results establish DeepCC9 as a generalizable and interpretable framework for modeling sequence-function relationships and advancing the understanding of the sequence determinants underlying CRISPR-Cas9 genome editing. AVAILABILITY AND IMPLEMENTATION: The authors have implemented their algorithm in the Python programming language (version 3.X), which is accessible using (https://zenodo.org/records/20073890).

Deep Learning

Low-temperature embryo incubation suppresses off-target mutagenesis during CRISPR-Cas9 genome editing in medaka (Oryzias latipes) and zebrafish (Danio rerio).

Gene knockout using CRISPR-Cas9 is often employed in research aimed at elucidating gene functions in fish. However, CRISPR-Cas9 sometimes introduces unintended alterations, known as off-target mutations. These mutations can reduce the robustness of data during phenotypic analysis. In this study, we focused on the culture temperature, which is known to significantly influence mutagenesis, and examined whether low-temperature culture after introducing CRISPR-Cas9 into early embryos of medaka and zebrafish suppresses off-target mutations. Continuous incubation of medaka at 16 °C significantly reduced off-target mutation rates compared to those at 28 °C; the drawback is that it decreased the survival rate of medaka embryos. Therefore, low-temperature incubation was limited to early development in both zebrafish and medaka, and then the temperature was increased to 28 °C. Under these conditions, the mutation rates of the three off-target regions in medaka (Off-D, Off-P, and Off-A) significantly decreased, whereas those of the three target regions (DJ-1, p4hb, and avt) were unaffected. Similarly, the mutation rate of the zebrafish target region (ywhaqa) remained high, whereas the off-target (Off-Y1) mutation rate significantly reduced. Furthermore, this method effectively suppressed the germ line transmission of off-target mutations in medaka. This approach is effective to obtain more reliable data from the G0 generation of medaka and zebrafish and may reduce the screening effort required to remove individuals with off-target mutations in the F1 generation.

Animals

CRISPRessoSea: streamlined analysis and comparison of pooled amplicon CRISPR screens.

BACKGROUND: CRISPR genome editing enables precise modification of genomic targets but may also induce unintended edits at off-target sites with similar sequences. Pooled amplicon sequencing can assess on- and off-target editing across many samples, yet analyzing, aggregating, and visualizing results from multiple pooled experiments remains challenging. Tools to simplify and standardize these analyses are needed to provide reproducible and comparable interpretation of editing data. RESULTS: We developed CRISPRessoSea, a software package that processes, compares, and visualizes genome editing rates from pooled amplicon sequencing experiments. The tool provides standardized workflows for analyzing editing across multiple targets and samples, supports both nuclease- and base-editing modalities, and generates clear, data-rich summaries suitable for downstream interpretation. CONCLUSIONS: CRISPRessoSea facilitates reproducible, scalable analysis of CRISPR editing outcomes across diverse experimental designs, enabling more efficient and transparent assessment of genome editing specificity. The software is freely available at https://github.com/clementlab/CRISPRessoSea .

Software

Tracking-seq: a universal off-target detection approach for CRISPR-Cas genome editing.

Tracking-seq is a highly sensitive method for genome-wide detection of off-target effects in cells edited with diverse genome editing modalities, including Cas9, cytosine base editors, adenine base editors and prime editors. Since most genome editors induce DNA repair pathways and generate single-stranded DNA (ssDNA) intermediates, Tracking-seq leverages this process by tracking replication protein A-a key protein that binds and protects ssDNA-to identify on-target and off-target events. Here we provide a detailed protocol for Tracking-seq, covering genome editing of cells, extraction of replication protein A-bound ssDNA, sequencing library construction and data analysis using our custom computational tool Offtracker. Tracking-seq is applicable to various genome editing scenarios with low cell input, delivering high-performance results. The entire workflow, from genome editing to data analysis, can be completed within 1-2 weeks, making it a rapid solution for assessing genome-wide off-target activity.

CRISPR-Cas Systems

Enhanced CRISPR-Cas3-mediated genome editing using circularized crRNAs.

Type I-E CRISPR-Cas3 represents a genome-editing technology in which large deletions averaging several kilobases are introduced in target regions. However, its genome-editing efficiency varies considerably across targets and cell types, making it difficult to achieve consistent results. Here, we investigated the efficacy and stability of circularized CRISPR RNAs (ccrRNAs) to enhance CRISPR-Cas3-mediated genome editing in human cells. Using in vitro single-strand DNA cleavage assays, we demonstrated that ccrRNA induces Cascade complex formation. Significant genome-editing activity targeting the EMX1 and B2M genes was observed in cellular assays using K562 cells. Long-read sequencing identified large-scale deletion mutations at the target loci and no detectable off-target effects using ccrRNA. Furthermore, ccrRNAs exhibited extended intracellular stability compared with that for linear crRNAs, resulting in an enhanced editing efficiency. These results demonstrate that ccrRNAs enable stable, efficient, and highly specific genome editing and support the broader application of the long-range deletion system.

CRISPR-Cas3

Endogenous tagging of the TBXT (Brachyury) gene with 2A-EGFP in BJNhem19 human embryonic stem cells using CRISPR-Cas9 genome editing.

Brachyury (TBXT) is a T-box transcription factor essential for directing human embryonic stem cells (hESCs) toward mesodermal lineage specification. Here, we report the generation of a Brachyury/TBXT-2A-EGFP knock-in reporter line in the BJNhem19 hESC line using CRISPR/Cas9-mediated homology-directed repair. Accurate integration of the reporter cassette was confirmed by DNA sequencing and validated by the comparison of EGFP expression to endogenous TBXT gene expression following directed mesodermal differentiation. This reporter line provides a tractable fluorescence-based platform for real-time monitoring of mesodermal commitment, which will help in high-content screening of differentiation protocols.

Journal Article

ALPINE: a scalable pipeline for comprehensive classification of gene-editing outcomes from long-read amplicon sequencing.

SUMMARY: CRISPR genome editing has enabled precise genetic modification for gene and cell therapies, but edits often produce heterogeneous on-target outcomes, including homology-directed repair (HDR) knock-ins, DNA repair template integrations, and structural variants. Existing tools are frequently limited to short reads or lack viral vector-specific integration categories needed for therapeutic development. Here, we present ALPINE (Amplicon Long-read Pipeline for INtegration Evaluation), a scalable and reproducible pipeline for classifying and quantifying gene-editing outcomes from long-read amplicon sequencing supporting both PacBio HiFi and Oxford Nanopore platforms. ALPINE classifies reads into 10+ categories, including DNA repair vector integration subtypes, and performs variant calling near the gene-edited site with batch, multi-sample reporting. Uniquely, ALPINE can distinguish between cells treated with multiple DNA repair vectors and identify distinct molecular features, such as inverted terminal repeats (ITRs), enabling comprehensive characterization of complex gene editing outcomes. Dual-target benchmarking on simulated datasets demonstrated high accuracy for transgene integration events. Independent validation on public crosslinked-HDR dataset confirmed ALPINE's integration detection capabilities, and application to edited T cell samples demonstrated comprehensive gene-editing outcome profiling. AVAILABILITY: ALPINE is available under MIT license at https://github.com/Maggi-Chen/ALPINE and https://doi.org/10.5281/zenodo.20272510. All analysis scripts and visualization code used in this manuscript are available at https://github.com/Maggi-Chen/ALPINE-manuscript-analysis. Simulated datasets are deposited at Zenodo (https://doi.org/10.5281/zenodo.20260865). Public dataset PRJNA913199 is available through NCBI SRA.

Gene Editing

An inducer-independent, single-plasmid CRISPR-Cas9 system for genome editing in Bacillus species.

Advances in molecular biology tools are essential for streamlining and accelerating genetic engineering of cells across industrial and academic applications. While CRISPR-Cas improves genome editing efficiency, current systems have limitations and are often host specific, which restricts their versatility. This study describes a versatile CRISPR-Cas9 system for genome editing in industrially relevant Bacillus species. By adapting the well-established pJOE8999 vector-based CRISPR-Cas9 genome editing system, we constructed an inducer-independent, broad-host-range genome editing system. It maintains the benefits of low toxicity to the target cell and the cloning host as well as the ease to use of a single-plasmid CRISPR-Cas9 system. We utilized the constitutive Sigma70-type promoter from the conserved veg gene of Bacillus, to develop and test the suitability of promoter variants of different strengths for Cas9 expression. Successful gene deletions in three different Bacillus species demonstrated the versatility of the modified system for this industrially important genus. This was further confirmed by the integration of a reporter gene fusion and the introduction of a single point mutation in the genome of Bacillus licheniformis. This one-step CRISPR-based transformation protocol developed in this study enables fast genome editing workflows with minimal hands-on time. KEY POINTS: • Editing and screening of promoter variants for balanced Cas9 expression in Bacillus. • Development of a versatile inducer-independent, single-plasmid CRISPR-Cas-based system. • Verification of the modified CRISPR-based system for genome editing in different Bacilli.

CRISPR-Cas Systems

Mechanisms of and mitigating strategies for cellular immune responses to CRISPR-associated nucleases in genome editing therapy.

Immunogenicity of CRISPR-associated nucleases (Cas) is a critical barrier to the development of safe and effective genome editing therapies. These proteins inherently pose a risk of immune recognition due to their prokaryotic origins. A multitude of factors, such as the delivery vehicle, the route of administration, components of the therapeutics, tissue microenvironment, and pre-existing immunity, also contribute to the complexity of the host immune response to Cas proteins. As CRISPR-based therapies advance into clinical settings, it is imperative to elucidate and address the immunogenicity of Cas proteins. Here, using Cas9 as an example, we review the current understanding of Cas protein immunogenicity, the challenges it poses for therapeutic application, and strategies to mitigate cellular immune responses to Cas proteins.

AAV

Multiplexed genome editing by CRISPR-Un1Cas12f1 restores dystrophin expression in a mouse model of Duchenne muscular dystrophy.

The compact type V clustered regularly interspaced short palindromic repeats (CRISPR) nuclease Un1Cas12f1 is compatible with adeno-associated virus (AAV)-mediated genome editing, although the protospacer adjacent motif (PAM) requirements and capacity for multiplexed genome editing remain undefined. Here, we show that Un1Cas12f1 exhibits a broad tolerance for non-canonical PAMs, including Y-rich motifs with a preference for TTCR and TCTA PAMs, thereby expanding the genomic targeting range. We further demonstrate that a tandem sgRNA array expressed from a single transcript supports Un1Cas12f1-mediated multiplexed genome editing at up to five distinct genomic loci. Leveraging this multiplexing capability, we achieved targeted excision of the Dmd exon 23 through intramuscular delivery of an all-in-one AAV vector encoding Un1Cas12f1 and a CRISPR array. This treatment restored the disrupted open reading frame and dystrophin expression in a mouse model of Duchenne muscular dystrophy (DMD). Together, these findings establish Un1Cas12f1 as a compact CRISPR system capable of multiplexed genome editing and demonstrate its therapeutic potential for DMD.

Journal Article

An efficient endogenous type I-E CRISPR-Cas genome-editing platform for producing transglutaminase in Streptomyces mobaraensis.

Streptomyces mobaraensis is an industrially important actinomycete capable of producing transglutaminase (TGase), a valuable crosslinking enzyme that is widely used in the food, pharmaceutical, and textile industries. However, its genetic manipulation remains challenging owing to the lack of efficient genome-editing tools. Here, we characterized an endogenous type I-E CRISPR-Cas system in S. mobaraensis IPIO2 through bioinformatics analysis and plasmid interference assays, identifying the protospacer adjacent motif as 5'-AAC-3'. We engineered an artificial editing plasmid, pCRISPR, by inserting a mini-CRISPR array (repeat-spacer-repeat) and homologous recombination repair templates into the replicative plasmid pJTU1278. This system exhibited high editing efficiencies, achieving 70% for single-gene deletions and 75-80% for large DNA fragment deletions ranging from 10 to 40 kb. Based on this system, deletion of four genes consistently downregulated during TGase production, identified through comparative proteomics, enhanced TGase production by 8.5-18.5%. Furthermore, deleting the pseudouridimycin and piericidin A1 biosynthetic gene clusters using this system significantly improved the safety profile of TGase production, resulting in a 17% increase in TGase yield. This study established a robust and efficient endogenous CRISPR-Cas-based genome-editing platform in S. mobaraensis, providing a powerful tool for strain engineering and industrial optimization of TGase production.

Comparative proteomics

Directing fratricide within T cell products using an anti-uPAR chimeric antigen receptor to drive the production of potent therapeutic cells.

Cell therapy manufacturing of primary T cells often results in heterogeneous cell populations in the final product, with many cells lacking desired receptor expression or exhausted and other dysfunctional phenotypes. Here, we design a novel cell-intrinsic strategy to genetically reprogram primary human T cells to autonomously detect and eliminate dysfunctional cells. This integrated detection and elimination process, known as directed fratricide, is programmed via non-viral CRISPR genome editing to eliminate the T cell receptor (TCR) alpha chain (TRAC gene knockout) and integrate a chimeric antigen receptor (CAR) against the urokinase-type plasminogen activator receptor (uPAR), also known as CD87. In these cell products, strong T cell stimulation or activation during manufacturing causes a small subset of cells to express uPAR, which triggers CAR-mediated killing within the product. This fratricide induces proliferation in the desired cells and destroys undesired cells, a process that could be modeled computationally and controlled robustly via supplements to the culture media. The strategy enabled enrichment of anti-uPAR and anti-disialoganglioside (GD2) CAR-T cell products up to ≥99% CAR+/TCR-, favoring a memory-like phenotype. Understanding growth dynamics among T cell subsets and reprogramming them via CRISPR could accelerate the biomanufacturing of potent cell products without extensive selection methods.

Humans

Adapting systems biology to address the complexity of human disease in the single-cell era.

Systems biology aims to achieve holistic insights into the molecular workings of cellular systems through iterative loops of measurement, analysis and perturbation. This framework has had remarkable success in unicellular model organisms, and recent experimental and computational advances - from single-cell and spatial profiling to CRISPR genome editing and machine learning - have raised the exciting possibility of leveraging such strategies to prevent, diagnose and treat human diseases. However, adapting systems-inspired approaches to dissect human disease complexity is challenging, given that discrepancies between the biological features of human tissues and the experimental models typically used to probe function (which we term 'translational distance') can confound insight. Here we review how samples, measurements and analyses can be contextualized within overall multiscale human disease processes to mitigate data and representation gaps. We then examine ways to bridge the translational distance between systems-inspired human discovery loops and model system validation loops to empower precision interventions in the era of single-cell genomics.

Humans

OsIDD6, an INDETERMINATE DOMAIN containing transcription factor in rice, plays an essential role in reproductive development.

INDETERMINATE DOMAIN containing proteins (IDD) are plant-specific transcriptional factors with a diverse range of roles in plants. Among the 15 IDD genes in rice, a staple food crop for the world, only about half have been functionally characterized. To elucidate the function of the remaining members, we created loss-of-function mutants using the CRISPR genome editing technique. Although no mutant exhibited obvious growth phenotypes, the Osidd6 mutant was completely sterile. By genetic crossing, we showed that both the male and female gametophytes were defective in the mutant. Histochemical staining and thin sectioning revealed that microspore development was compromised, likely due to a delay in tapetum degeneration. We also showed that meiosis was impaired in the mutant, resulting in defective megaspore development. Through a series of experiments, including transcriptome analysis, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), in situ hybridization, β-glucuronidase (GUS) staining with promoter-GUS transgenic plants, yeast one-hybrid method, a dual-visible reporter assay, and transcriptional activity assay, we demonstrated that OsIDD6 is expressed in all cell types in the male and female reproductive organs and that the OsIDD6 protein directly regulates genes potentially having a role in meiosis and tapetum development. Since reproductive development is directly related to crop yield, OsIDD6 could be an important target for genetic manipulation in rice breeding.

Oryza