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The MURF3 gene of T. brucei contains multiple domains of extensive editing and is homologous to a subunit of NADH dehydrogenase.

Mitochondrial MURF3 transcripts of T. brucei are extensively edited by the addition and deletion of uridines. The editing creates potential initiation and termination codons and a continuous open reading frame. The predicted amino acid sequence has homology to a subunit of NADH dehydrogenase (ND7). ND7 is independently edited in two distinct domains, suggesting two editing initiation sites. Editing in the two domains is differentially regulated: the 5' domain is edited in both bloodstream and procyclic forms but the 3' domain is completely edited only in the bloodstream form. Two potential guide RNA (gRNA) coding sequences were identified in the same minicircle. One is complementary to edited sequence in the 5' domain, the other to edited sequence in the 3' domain.

Amino Acid Sequence↗

Structure determination of fibrillarin from the hyperthermophilic archaeon Pyrococcus furiosus.

The methyltransferase fibrillarin is the catalytic component of ribonucleoprotein complexes that direct site-specific methylation of precursor ribosomal RNA and are critical for ribosome biogenesis in eukaryotes and archaea. Here we report the crystal structure of a fibrillarin ortholog from the hyperthermophilic archaeon Pyrococcus furiosus at 1.97A resolution. Comparisons of the X-ray structures of fibrillarin orthologs from Methanococcus jannashii and Archaeoglobus fulgidus reveal nearly identical backbone configurations for the catalytic C-terminal domain with the exception of a unique loop conformation at the S-adenosyl-l-methionine (AdoMet) binding pocket in P. furiosus. In contrast, the N-terminal domains are divergent which may explain why some forms of fibrillarin apparently homodimerize (M. jannashii) while others are monomeric (P. furiosus and A. fulgidus). Three positively charged amino acids surround the AdoMet-binding site and sequence analysis indicates that this is a conserved feature of both eukaryotic and archaeal fibrillarins. We discuss the possibility that these basic residues of fibrillarin are important for RNA-guided rRNA methylation.

Amino Acid Sequence↗

The value-added genome: building and maintaining genomic cytosine methylation landscapes.

Epigenetic marks, such as cytosine methylation and post-translational histone modifications, are important for interpreting and managing eukaryotic genomes. Recent genetic studies in plants have uncovered details on the different interwoven mechanisms that are responsible for specification of genomic cytosine methylation patterns. These mechanisms include targeting cytosine methylation using heterochromatic histone modifications and RNA guides. Genomic cytosine methylation patterns also reflect locus-specific demethylation initiated by specialized DNA glycosylases. While genetics continues to more fully define these mechanisms, genomic studies in Arabidopsis have yielded an unprecedented high-resolution view of how epigenetic marks are layered over a genome.

Arabidopsis↗

CRISPR/Cpf1-mediated knockout of FLG in human induced pluripotent stem cells generates a model for studying epidermal barrier dysfunction.

Loss of filaggrin (FLG) function impairs skin barrier formation and contributes to common inflammatory skin diseases. In this study, we established a FLG knockout human induced pluripotent stem cell (iPSC) line based on KOLF2.1 J using CRISPR/Cas12a (Cpf1)-mediated genome editing. A guide RNA targeting exon 2 introduced a homozygous mutation, which was confirmed by sequencing. The edited cells maintained typical pluripotent stem cell morphology, expressed key undifferentiated markers, and retained the ability to differentiate into all three germ layers. Karyotype and copy number variation (CNV) analyses confirmed genomic stability and parental origin; the cells were free of mycoplasma. This cell line enables studies of FLG-associated skin biology and pathology.

Humans↗

Building CRISPR immunity: evolution and mechanisms of spacer acquisition.

CRISPR-Cas systems in prokaryotes serve as adaptive immune systems that neutralize phage infections through RNA-guided nucleases. Immunization is achieved during the adaptation stage through Cas1-Cas2 integrase-mediated insertion of short foreign DNA snippets, termed spacers, into a CRISPR array in the host genome. This review examines the evolutionary origins of Cas1-Cas2 and the mechanisms of spacer acquisition in DNA-targeting CRISPR-Cas systems. Particular emphasis is placed on the recently characterized effector-assisted adaptation pathways, in which CRISPR effector proteins, such as Cascade and Cas9, typically involved in target interference, are repurposed for prespacer capture and integration into a CRISPR array.

CRISPR–Cas spacer acquisition↗

Cross-target and cell-preferential CRISPR-Cas9 inhibition with carbohydrate-tagged oligonucleotides.

Precise control of clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 9 (Cas9) activity is important for limiting off-target effects and chromosomal rearrangements. Existing inhibitors, including anti-CRISPR proteins and spacer-targeting oligonucleotides, can be constrained by immunogenicity, target-sequence dependence, or delivery challenges. Here, we developed single-stranded DNA oligonucleotides that target conserved regions of the Streptococcus pyogenes Cas9 single-guide RNA (sgRNA) scaffold rather than the variable spacer. Screening identified single-stranded DNA 7 (ssDNA7), which targets stem-loop-1 and the adjacent linker and inhibits Cas9 activity across multiple tested spacer sequences and genomic loci without redesigning the inhibitor. Carbohydrate conjugation improved oligonucleotide stability and preferentially enhanced inhibitory activity in selected liver-derived or cancer cell models. Amplicon sequencing confirmed inhibition of endogenous editing in multiple cell models and normal liver-derived organoids, and supported cell-preferential inhibition in matched cell comparisons. These findings establish sgRNA-scaffold targeting as a strategy for cross-target inhibition of Cas9 and show that carbohydrate conjugation can tune its cellular activity.

CRISPR-Cas9↗

Crystal structure of the avilamycin resistance-conferring methyltransferase AviRa from Streptomyces viridochromogenes.

The emergence of antibiotic-resistant bacterial strains is a widespread problem in contemporary medical practice and drug design. It is therefore important to elucidate the underlying mechanism in each case. The methyltransferase AviRa from Streptomyces viridochromogenes mediates resistance to the antibiotic avilamycin, which is closely related to evernimicin, an oligosaccharide antibiotic that has been used in medical studies. The structure of AviRa was determined by X-ray diffraction at 1.5A resolution. Phases were obtained from one selenomethionine residue introduced by site-directed mutagenesis. The chain-fold is similar to that of most methyltransferases, although AviRa contains two additional helices as a specific feature. A putative-binding site for the cofactor S-adenosyl-L-methionine was derived from homologous structures. It agrees with the conserved pattern of interacting amino acid residues. AviRa methylates a specific guanine base within the peptidyltransferase loop of the 23S ribosomal RNA. Guided by the target, the enzyme was docked to the cognate ribosomal surface, where it fit well into a deep cleft without contacting any ribosomal protein. The two additional alpha-helices of AviRa filled a depression in the surface. Since the transferred methyl group of the cofactor is in a pocket beneath the enzyme surface, the targeted guanine base has to flip out for methylation.

Amino Acid Sequence↗

Unlocking Zeptomolar Single-Molecule Detection by Synergizing Digital Microfluidics and Digital CRISPR.

Accurate diagnosis relies on the highly sensitive and quantitative detection of multiple immune-related biomarkers. However, current detection methods still face significant limitations in sensitivity, specificity, and background signal control. Here, we introduce DDA (Dual-Digital immunoAssay), a fully automated, universal immunoassay platform that synergizes digital microfluidics with digital Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-based amplification. This "dual-digital" strategy pushes the detection limit into the zeptomolar (zM) regime, enabling unprecedented sensitivity for single-molecule analysis. The DDA platform is built upon a digital microfluidic microwell array chip, integrating magnetic bead-based immunocapture with RNA-guided CRISPR/Cas13a signal amplification. This system enables a fully automated, "sample-in, answer-out" workflow. By systematically optimizing the entire process, DDA significantly reduces background noise and enhances detection sensitivity, achieving a limit of detection (LOD) down to 100 zM for key protein biomarkers. This represents a >100-fold improvement over leading commercial ultrasensitive assays. With single-molecule resolution and full automation, DDA provides a robust solution for the precise quantification of low-abundance immune biomarkers. As a proof-of-concept, we demonstrate its ability to accurately quantify key heart-failure-associated biomarkers, including NT-proBNP (LOD: 1 aM), IL-6 (LOD: 1.5 aM), and TNF-α (LOD: 2.5 aM), directly in complex serum samples. This platform holds great promise for automated multibiomarker screening and risk assessment, showcasing its powerful potential for the early diagnosis of major diseases such as cardiovascular diseases, cancers, neurodegenerative disorders, and infectious diseases.

Humans↗

Decoding TnsC Filament Assembly in CRISPR-Associated Transposons Using Interpretable Deep Learning and Molecular Simulations.

CRISPR-associated transposons (CASTs) enable programmable DNA integration, yet how the TnsC regulator forms processive filaments on DNA to coordinate RNA-guided transposition in type V-K CAST systems remains unknown. Here, we integrate large-scale molecular simulations, interpretable deep learning using graph attention networks (GATs), and causal inference analyses to define the molecular determinants of TnsC filament nucleation and elongation. We show that TnsC nucleates by inducing localized DNA deformation that propagates along extended filaments, with Granger causality revealing that TnsC motions precede and predict DNA deformation. Interpretable GAT models demonstrate that elongation is determined during early recognition between incoming and DNA-bound subunits, followed by structural reorganization that regenerates the recruitment interface and enables processive assembly. These results elucidate the molecular mechanism of processive TnsC filament assembly and explain why isolated TnsC filaments preferentially elongate in the 5' → 3' direction, while accessory transposition factors can reshape the interaction landscape and alter filament growth polarity. Together, these findings advance our understanding of CAST function and inform the engineering of programmable DNA integration platforms. Beyond CAST systems, this work introduces an interpretable GAT approach as a general and transferable deep learning strategy for uncovering molecular mechanisms in biological systems, while demonstrating the power of causal inference for dissecting directional relationships in molecular dynamics.

Deep Learning↗

Repeat region engineering of Cas13a crRNA enables conformational gating-based autocatalytic CRISPR biosensing.

CrRNA engineering has emerged as a pivotal strategy for extending CRISPR-Cas13a biosensing. However, structural modulation of the direct repeat (DR) region remains exceptionally challenging due to its intricate architecture and the high energetic barrier of the Cas13a-crRNA interface, which is conventionally viewed as a rigid and immutable scaffold. Here, we demonstrate that the DR region is instead a programmable topological element with unexpected structural plasticity. By systematically engineering the DR through sequence insertion and structural splitting, we identified multiple DR variants that retain robust catalytic activity. Crucially, this topological reconfiguration enables Cas13a activity to be precisely gated by unmodified nucleic acid blockers, a level of regulation unattainable with the wild-type crRNA. Building on this flexible modulation, we developed Dre-CRISPR, a DR-engineered platform that couples target-triggered DR restoration to a self-reinforcing autocatalytic loop. This self-amplifying system provides a 2 × 106-fold sensitivity enhancement over nonamplified systems. Furthermore, the Dre-CRISPR platform extends the diagnostic scope of Cas13a to a broader spectrum of analytes, ranging from microRNAs to enzymatic activities and heavy metal ions. Our findings redefine the crRNA scaffold as a versatile signaling node and provide a generalizable framework for developing high-sensitivity, self-amplifying CRISPR biosensors through topology-driven guide RNA engineering.

CRISPR-Associated Proteins↗

CRISPR RNP-Mediated Transgene-Free Genome Editing in Plants: Advances, Challenges and Future Directions for Tree Species.

CRISPR ribonucleoprotein (RNP)-mediated genome editing offers a transgene-free platform for precise genetic modification in diverse herbaceous and tree species, including rice, wheat, apple, poplar, oil palm, rubber tree and grapevine. However, its application in woody plants faces distinct challenges, notably inefficient delivery and regeneration difficulties, particularly in species such as bamboo. While some of these issues also occur in herbaceous plants, they are often significantly more complex in woody species due to factors such as intricate cell wall architecture, widespread recalcitrant genotypes and inherent limitations of current delivery platforms. This review presents the first in-depth, critical re-evaluation of recent advancements in RNP-mediated editing in woody plants, highlighting these obstacles that warrant focused attention. Unlike plasmid-based CRISPR systems, RNP editing utilises Cas9/Cas12a protein-guide RNA complexes without integrating foreign DNA. This enables a DNA-free editing strategy that simplifies regulatory approval and minimises off-target effects due to the transient presence and rapid degradation of RNPs within plant cells. While PEG-mediated protoplast transfection and particle bombardment remain the primary reported methods for RNP delivery in trees, we evaluate promising alternative strategies such as lipofection, electroporation, cell-penetrating peptides and nanoparticle-based systems for targeted RNP delivery. Despite their promise, these advanced methods remain largely untested in woody species. Finally, we outline future research directions, including the development of tree-specific RNP delivery systems and regeneration protocols to enhance efficiency and minimise cytotoxicity. These innovations are essential for unlocking the full potential of RNP-mediated genome editing in long-lived tree species. This review provides a focused and timely roadmap for expanding the application of RNP technology across diverse woody plants.

Gene Editing↗

In planta genome editing in citrus facilitated by co-expression of CRISPR/Cas and developmental regulators.

Recent advances in the field of genome editing offer a promising avenue for targeted trait improvements in fruit trees. However, the predominant method taken for genome editing in citrus (and other fruit trees) involves the time-consuming tissue culture approach, thereby prolonging the overall citrus breeding process and subjecting it to the drawbacks associated with somaclonal variation. In this study, we introduce an in planta approach for genome editing in soil-grown citrus plants via direct transformation of young seedlings. Our editing system, abbreviated here as IPGEC (in planta genome editing in citrus), is designed to transiently co-express three key gene groups in citrus tissue via Agrobacterium tumefaciens: (i) a genome-editing catalytic group, (ii) a shoot induction and regeneration group, and (iii) a T-DNA enhanced delivery group. This integrated system significantly improves de novo shoot induction and regeneration efficiency of edited tissue. By incorporating single-guides RNA's (sgRNA's) targeting the carotenoid biosynthetic gene PHYTOENE DESATURASE (CsPDS), the IPGEC system effectively produced mutated albino shoots, confirming its ability to generate homozygous/biallelic genome-edited plants. By using high throughput screening, we provide evidence that transgene-free genome-edited plants could be obtained following the IPGEC approach. Our findings further suggest that the efficiency of specific developmental regulators in inducing transformation and regeneration rates may be cultivar-specific and therefore needs to be optimized per cultivar. Finally, targeted breeding for specific trait improvements in already successful cultivars is likely to revolutionize fruit tree breeding and will pave the way for accelerating the development of high-quality citrus cultivars.

Citrus↗

Engineering and comparison of cas12a-based genome editing systems in plants.

While Cas9 and Cas12a are both RNA-guided endonucleases used for genome editing, only Cas12a is able to process pre-crRNA via its additional ribonuclease activity. This feature reduces the complexity of Cas12a versus Cas9-based genome editing systems thus providing an attractive alternative for generating site-specific mutations in plants. Here we aimed to improve the efficiency of the cas12a-based generation of two double-strand breaks flanking the open reading frame of a target gene, leading to its full deletion. To this end, we compared the relative impact of different components on cas12a-based gene deletion efficiency in three different eudicotyledons, Arabidopsis thaliana, Lotus japonicus, and Nicotiana benthamiana. We detected the highest cas12a-based editing efficiency with a combination of suitable promoters for crRNA and cas12a expression, a tandem terminator to control cas12a expression, a re-coded cas12a, adapted to the codon usage of Arabidopsis and engineered to carry introns, and encoding a Cas12a flanked by a nuclear localization signal at both ends. Our work revealed the high potential for improving cas12a-based genome editing systems for plant genetic research.

Gene Editing↗

Stacked mutations in multi-copy AHAS genes enhance sulfonylurea herbicide resistance in soybean.

Weeds are a major factor that negatively impact crop yields. Developing herbicide-resistant germlines is crucial for efficient weed control. Sulfonylurea- and pyrimidinyl benzoate-based herbicides inhibit the function of acetohydroxyacid synthase (AHAS), a key enzyme in the biosynthesis of branched-chain amino acids in plants. To create soybean plants resistant to these classes of herbicides, we performed base editing of AHAS genes in Glycine max. A guide RNA was designed to target the codon for proline-182 in GmAHAS2, with the prediction that off-target base editing might also occur in the GmAHAS3 and GmAHAS4 genes. We selected six genome-edited soybean lines, each carrying distinct mutations in GmAHAS2, GmAHAS3, or GmAHAS4. These lines were treated with three different AHAS-targeting herbicides to evaluate resistance. The results show that the number of mutated GmAHAS genes and the mutation patterns significantly influence herbicide resistance.

Herbicide Resistance↗

Virus-induced gene editing of stomatal regulators in Nicotiana benthamiana enables rapid functional genomics.

Virus-induced gene editing (VIGE) holds promise as a rapid and scalable approach for functional genomics in plants. Here, we apply a tobacco rattle virus (TRV)-based single-guide RNA (sgRNA) delivery system to target key regulators of stomatal development in Nicotiana benthamiana using transgenic Cas9-expressing lines. sgRNAs fused to a mobile RNA element and co-delivered with TRV enabled both somatic and heritable genome editing across orthologs of STOMAGEN, EPF2, YODA, and SPEECHLESS. Somatic editing frequencies reached up to 95%, and heritable tetra-allelic mutations were recovered in multiple target genes. Mutants exhibited significant, gene-specific changes in stomatal density, with corresponding effects on leaf temperature indicative of altered evaporative cooling. Additionally, sgRNAs fused to an AmCyan reporter enabled visualization of virus-infected tissues, allowing stomatal phenotyping in edited M0 sectors. This TRV-based platform facilitates functional assessment of genes influencing stomatal patterning and offers a powerful tool for dissecting gene function in a developmentally and physiologically relevant context.

Nicotiana↗

GFER Represents a Target for Dual Disruption of Redox Homeostasis and Reactivation of the Immune Response in Pancreatic Adenocarcinoma.

UNLABELLED: Both metabolic dysregulation and the immunosuppressive tumor microenvironment of pancreatic ductal adenocarcinoma (PDAC) contribute to the recalcitrance of this lethal disease to treatment. Accordingly, we aimed to identify and characterize a target that elicits an anticancer response through both disrupting cancer cell redox homeostasis and increasing the immunogenicity of PDAC. First, mitochondrial metabolic dependencies in PDAC were identified by using a CRISPR-Cas9 screening system with a custom single-guide RNA library. Functional validation analyses revealed GFER, a mitochondrial FAD-dependent sulfhydryl oxidase, as an essential regulator of tumor growth. In vitro and in vivo methodologies demonstrated that GFER depletion perturbed redox homeostasis and stimulated tumor immunogenicity, including sensitization to immune checkpoint blockade. In patient-derived xenograft models of PDAC, the growth-inhibitory response induced by GFER depletion was mediated by an altered oxidative balance that released damaged mitochondrial DNA into the cytoplasm of tumor cells, leading to the activation of the cGAS-STING pathway and expression of type I IFNs. This effect was recapitulated in a mouse immunocompetent syngeneic PDAC model, in which GFER depletion suppressed tumor growth and promoted T-cell infiltration to enhance tumor-killing effects. Consequently, GFER depletion significantly increased the antitumor efficacy of immune checkpoint blockade. Overall, these findings identify GFER as a critical node for both mitochondrial redox homeostasis and immunomodulation in PDAC and reveal a therapeutic opportunity for sensitizing PDAC to immune checkpoint blockade. SIGNIFICANCE: GFER is essential for mitochondrial redox balance and suppressing tumor immunogenicity in pancreatic tumors, with the combination of GFER inhibition with immune checkpoint blockade resulting in a strong antitumor response.

Animals↗

CRISPR Screen Identifies HDAC3 as a Novel Radiosensitizing Target in Small Cell Lung Cancer.

Small cell lung cancer (SCLC) is an aggressive malignancy, with most patients presenting with prognostically poor extensive-stage disease. Limited progress in standard care stresses the urgent need for novel therapies. Radiotherapy offers some survival benefit for selected patients with SCLC but could be enhanced with radiosensitizers. In this study, we identify HDAC3 as a novel radiosensitizing target in SCLC using a CRISPR knockout screen and demonstrate its efficacy and mechanism. SBC5 cells were transduced with a custom EpiDrug single-guide RNA library and treated with ionizing radiation (IR) to identify radiosensitizing genes. HDAC3 emerged as a candidate and was validated through genetic knockdown and pharmacologic inhibition (RGFP966) in multiple SCLC cell lines. Both approaches enhanced radiosensitivity, as shown by cell viability (dose modification factor10 = 1.14-1.69) and clonogenic assays (dose modification factor10 = 1.16-1.41). We assessed changes in chromatin accessibility by assay for transposase-accessible chromatin using sequencing and IR-induced DNA damage and repair using γH2AX foci detection, double-strand break (DSB) repair assays, and immunoblotting of repair proteins. HDAC3-deficient cells exhibited increased chromatin accessibility, greater IR-induced DSBs, and impaired repair capacity, resulting in persistent DNA damage. This repair defect sensitized cells to PARP inhibitors, for which combining RGFP966 with olaparib or talazoparib produced additive to synergistic effects. In SCLC xenograft models, HDAC3 knockdown or RGFP966, combined with IR, achieved significant tumor growth inhibition. Collectively, we identified HDAC3 as a novel radiosensitizing target in SCLC. Its functional loss increased the generation and persistence of IR-induced DNA DSBs, effectively sensitizing SCLC cell lines and xenografts to IR, providing a potential radiosensitization strategy to treat SCLC.

Humans↗

LDLR Variant Classification Through Activity-Normalized Prime Editing Screening.

BACKGROUND: Inherited variants in the LDL (low-density lipoprotein) receptor (LDLR) gene are the most common cause of familial hypercholesterolemia, significantly increasing coronary artery disease risk. Early identification of pathogenic LDLR variants enables prompt lipid-lowering therapy and cascade testing of at-risk relatives; however, most LDLR variants observed in the population have uncertain or absent clinical classifications, leaving many patients without actionable information. METHODS: We developed the first activity-normalized prime editing screening pipeline to measure the impact of 5184 LDLR coding variants on LDL-cholesterol (LDL-C) uptake. Each prime editing guide RNA is paired with a genotypic outcome reporter to correct for variable editing efficiency, overcoming a key limitation of previous pooled genome editing screens. A statistical framework further improves variant effect estimates by jointly analyzing all missense variants at each amino acid position. RESULTS: We show that prime editing of the reporter construct correlates with endogenous variant installation frequency, validating the activity normalization approach. The resulting scores capture a continuous spectrum of functional effects, robustly separate pathogenic versus benign ClinVar variants, and show concordance with LDL-C levels in UK Biobank participants. We calibrate functional evidence strengths to the ACMG/AMP variant interpretation framework, enabling integration into a clinical variant classification workflow. By combining functional, computational, population, and contextual evidence, 322 of 434 LDLR variants currently classified as variants of uncertain significance, conflicting, or absent from ClinVar appear to meet evidence thresholds for reclassification and can be prioritized for expert review, substantially expanding the pool of actionable variant classifications. The screen also reveals a cluster of gain-of-function variants in LDLR class A repeat 5, at least some of which enhance LDL-C uptake through increased apolipoprotein B interaction, with implications for therapeutic genome editing. Last, prime editing uniquely detects splice-altering coding variants missed by cDNA-based screens and pathogenicity predictors, revealing an advantage of endogenous variant installation. CONCLUSIONS: Altogether, activity-normalized prime editing provides a scalable framework for LDLR variant classification that substantially expands the proportion of variants with evidence for genetic diagnosis and reveals novel biology with therapeutic relevance.

CRISPR screening↗