HMGN1 enhances CRISPR-directed dual-function A-to-G and C-to-G base editing

CRISPR/Cas-mediated macromolecular DNA methylation editing: Precision targeting of DNA methyltransferases in cancer therapy

Epigenetic modifications, particularly DNA methylation, play a pivotal role in gene regulation, influencing tumor suppressor silencing and oncogene activation in cancer. DNA methyltransferases (DNMTs), Ten-eleven translocation (TET) enzymes, and associated chromatin regulators are key biological macromolecules that mediate these epigenetic processes. Targeting aberrant DNA methylation holds great promise for cancer therapy, but traditional approaches lack precision and specificity. CRISPR/Cas-based epigenetic editing has emerged as a transformative tool for macromolecular DNA methylation reprogramming, offering targeted modifications without altering the genetic sequence. This review explores the role of DNMTs, TET enzymes, and chromatin-associated proteins in cancer epigenetics and discusses how CRISPR/dCas9 fused with DNMT3A or TET1 enables locus-specific DNA methylation editing. We highlight recent advances, including dCas9-DNMT3A for precise hypermethylation and dCas9-TET1 for targeted demethylation, and discuss their applications in reactivating tumor suppressor genes or silencing oncogenic pathways. Novel epigenetic editing systems, such as SunTag-based amplification, KRAB-MeCP2 repression, further enhance targeting efficiency and therapeutic potential. CRISPR/Cas-mediated macromolecular epigenetic editing represents a paradigm shift in cancer therapy, providing unprecedented control over DNA methylation and chromatin regulation. Despite challenges such as tumor heterogeneity and off-target effects, integrating CRISPR-based methylation reprogramming with precision oncology holds immense promise for future clinical applications.

Improving plant C-to-G base editors with a cold-adapted glycosylase and TadA-8e variants

Plant cytosine (C)-to-guanine (G) base editors (CGBEs) have been established but suffer from limited editing efficiencies and low outcome purities. This study engineered a cod uracil DNA glycosylase (cod UNG, coUNG) from the cold-adapted fish Gadus morhua for plant CGBE, demonstrating 1.71- to 2.54-fold increases in C-to-G editing efficiency compared with the CGBE using human UNG (hUNG). Further engineering took advantage of TadA-8e-derived cytidine deaminases (TadA-CDs). These variants induced C substitutions with efficiencies ranging from 26.28% to 30.82% in rice cells, whereas adenine (A) conversion was negligible. By integrating coUNG and TadA-CDc elements with SpCas9 nickase, the resulting CDc-CGBEco achieved pure C-to-G editing without byproducts in up to 52.08% of transgenic lines. Whole-genome sequencing (WGS) analysis revealed no significant off-target effects of the CDc-BEs in rice. In addition, CDc-CGBEco enabled precise C-to-G editing in soybean and tobacco. These engineered CGBEs enhanced editing efficiency, purity, and specificity, suggesting their broad potential for applications in scientific research and crop breeding.

Genome-Wide A → G and C → T Mutations Induced by Functional TadA Variants in Escherichia coli

The fusion expression of deoxyribonucleic acid (DNA) replication-related proteins with nucleotide deaminase enzymes promotes random mutations in bacterial genomes, thereby increasing genetic diversity among the population. Most previous studies have focused on cytosine deaminase, which produces only C → T mutations, significantly limiting the variety of mutation types. In this study, we developed a fusion expression system by combining DnaG (RNA primase) with adenine deaminase TadA-8e (DnaG-TadA) in Escherichia coli, which is capable of rapidly introducing A → G mutations into the E. coli genome, resulting in a 664-fold increase in terms of mutation rate. Additionally, we tested a dual-functional TadA variant, TadAD, and then fused it with DnaG. This construct introduced both C → T and A → G mutations into the E. coli genome, with the mutation rate increased by 370-fold upon coexpression with a uracil glycosylase inhibitor (DnaG-TadAD-UGI). We applied DnaG-TadA and DnaG-TadAD-UGI systems to the adaptive laboratory evolution for Cd2+ and kanamycin resistance, achieving an 8.0 mM Cd2+ and 200 μg/mL kanamycin tolerance within just 17 days and 132 h, respectively. Compared to conventional evolution methods, the final tolerance levels were increased by 320 and 266%, respectively. Our work offers a novel strategy for random mutagenesis in E. coli and potentially other prokaryotic species.

A-to-G/C/T and C-to-T/G/A dual-function base editor for creating multi-nucleotide variants

Multi-nucleotide variants (MNVs) are critical genetic variants associated with various genetic diseases. However, tools for precisely installing MNVs are limited. In this study, we present the development of a dual-base editor, BDBE, by integrating TadA-dual and engineered human N-methylpurine DNA glycosylase (eMPG) into nCas9 (D10A). Our results demonstrate that BDBE effectively converts A-to-G/C/T (referred to as A-to-B) and C-to-T/G/A (referred to as C-to-D) simultaneously, yielding nine types of dinucleotides from adjacent CA nucleotides while maintaining minimal off-target effects. Notably, BDBE4 exhibits exceptional performance across multiple human cell lines and successfully simulated all nine dinucleotide MNVs from the gnomAD database. These findings indicate that BDBE significantly expands the product range of base editors and offers a valuable resource for advancing MNV research.

Engineering miniature IscB nickase for robust base editing with broad targeting range

IscB has a similar domain organization to Cas9, but the small size of IscB is better suited for delivery by adeno-associated virus. To improve the low editing efficiency of OgeuIscB (IscB from human gut metagenome) in mammalian cells, we developed high-efficiency miniature base editors by engineering OgeuIscB nickase and its cognate ωRNA, termed IminiBEs. We demonstrated the robust editing efficiency of IminiCBE (67% on average) or IminiABE (52% on average). Fusing non-specific DNA-binding protein Sso7d to IminiBEs increased the editing efficiency of low-efficiency sites by around two- to threefold, and we termed it SIminiBEs. In addition, IminiCBE and SIminiCBE recognize NNRR, NNRY and NNYR target-adjacent motifs, which broaden the canonical NWRRNA target-adjacent motif sites for the wild-type IscB nickase. Overall, IminiBEs and SIminiBEs are efficient miniature base editors for site-specific genomic mutations.

Engineering miniature CRISPR-Cas Un1Cas12f1 for efficient base editing

Adeno-associated virus (AAV) is a relatively safe and efficient vector for gene therapy. However, due to its 4.7-kb limit of cargo, SpCas9-mediated base editors cannot be packaged into a single AAV vector, which hinders their clinical application. The development of efficient miniature base editors becomes an urgent need. Un1Cas12f1 is a class II V-F-type CRISPR-Cas protein with only 529 amino acids. Although Un1Cas12f1 has been engineered to be a base editor in mammalian cells, the base-editing efficiency is less than 10%, which limits its therapeutic applications. Here, we developed hypercompact and high-efficiency base editors by engineering Un1Cas12f1, fusing non-specific DNA binding protein Sso7d, and truncating single guide RNA (sgRNA), termed STUminiBEs. We demonstrated robust A-to-G conversion (54% on average) by STUminiABEs or C-to-T conversion (45% on average) by STUminiCBEs. We packaged STUminiCBEs into AAVs and successfully introduced a premature stop codon on the PCSK9 gene in mammalian cells. In sum, STUminiBEs are efficient miniature base editors and could readily be packaged into AAVs for biological research or biomedical applications.

CRISPR technologies for genome, epigenome and transcriptome editing

Our ability to edit genomes lags behind our capacity to sequence them, but the growing understanding of CRISPR biology and its application to genome, epigenome and transcriptome engineering is narrowing this gap. In this Review, we discuss recent developments of various CRISPR-based systems that can transiently or permanently modify the genome and the transcriptome. The discovery of further CRISPR enzymes and systems through functional metagenomics has meaningfully broadened the applicability of CRISPR-based editing. Engineered Cas variants offer diverse capabilities such as base editing, prime editing, gene insertion and gene regulation, thereby providing a panoply of tools for the scientific community. We highlight the strengths and weaknesses of current CRISPR tools, considering their efficiency, precision, specificity, reliance on cellular DNA repair mechanisms and their applications in both fundamental biology and therapeutics. Finally, we discuss ongoing clinical trials that illustrate the potential impact of CRISPR systems on human health.

CRISPR/Cas9-mediated base editors and their prospects for mitochondrial genome engineering

Base editors are a type of double-stranded break (DSB)-free gene editing technology that has opened up new possibilities for precise manipulation of mitochondrial DNA (mtDNA). This includes cytosine and adenosine base editors and more recently guanosine base editors. Because of having low off-target and indel rates, there is a growing interest in developing and evolving this research field. Here, we provide a detailed update on DNA base editors. While base editing has widely been used for nuclear genome engineering, the growing interest in applying this technology to mitochondrial DNA has been faced with several challenges. While Cas9 protein has been shown to enter mitochondria, use of smaller Cas proteins, such as Cas12a, has higher import efficiency. However, sgRNA transfer into mitochondria is the most challenging step. sgRNA structure and ratio of Cas protein to sgRNA are both important factors for efficient sgRNA entry into mitochondria. In conclusion, while there are still several challenges to be addressed, ongoing research in this field holds the potential for new treatments and therapies for mitochondrial disorders.

Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification

CRISPR base editing screens enable analysis of disease-associated variants at scale; however, variable efficiency and precision confounds the assessment of variant-induced phenotypes. Here, we provide an integrated experimental and computational pipeline that improves estimation of variant effects in base editing screens. We use a reporter construct to measure guide RNA (gRNA) editing outcomes alongside their phenotypic consequences and introduce base editor screen analysis with activity normalization (BEAN), a Bayesian network that uses per-guide editing outcomes provided by the reporter and target site chromatin accessibility to estimate variant impacts. BEAN outperforms existing tools in variant effect quantification. We use BEAN to pinpoint common regulatory variants that alter low-density lipoprotein (LDL) uptake, implicating previously unreported genes. Additionally, through saturation base editing of LDLR, we accurately quantify missense variant pathogenicity that is consistent with measurements in UK Biobank patients and identify underlying structural mechanisms. This work provides a widely applicable approach to improve the power of base editing screens for disease-associated variant characterization.

Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification

CRISPR base editing screens are powerful tools for studying disease-associated variants at scale. However, the efficiency and precision of base editing perturbations vary, confounding the assessment of variant-induced phenotypic effects. Here, we provide an integrated pipeline that improves the estimation of variant impact in base editing screens. We perform high-throughput ABE8e-SpRY base editing screens with an integrated reporter construct to measure the editing efficiency and outcomes of each gRNA alongside their phenotypic consequences. We introduce BEAN, a Bayesian network that accounts for per-guide editing outcomes and target site chromatin accessibility to estimate variant impacts. We show this pipeline attains superior performance compared to existing tools in variant classification and effect size quantification. We use BEAN to pinpoint common variants that alter LDL uptake, implicating novel genes. Additionally, through saturation base editing of LDLR, we enable accurate quantitative prediction of the effects of missense variants on LDL-C levels, which aligns with measurements in UK Biobank individuals, and identify structural mechanisms underlying variant pathogenicity. This work provides a widely applicable approach to improve the power of base editor screens for disease-associated variant characterization.