Foodborne pathogens represent a class of pathogenic microorganisms capable of causing food poisoning or serving as foodborne vectors, constituting a major source of food safety concerns. With increasing demands for rapid diagnostics, conventional culture-based methods and PCR assays face limitations due to prolonged turnaround times and specialized facility requirements. While CRISPR-based detection has emerged as a promising rapid diagnostic platform, its inherent inability to detect low-abundance targets necessitates coupling with isothermal amplification, thereby increasing operational complexity. In this study, we developed a novel amplification-free Cascade-CRISPR detection system utilizing hairpin DNA amplifier. This method achieves detection sensitivity as low as 10 fM for DNA targets within 30 minutes without requiring pre-amplification, with background signal suppression achieved through optimized NaCl concentration. Validation using artificially contaminated food samples demonstrated the platform's robust performance for both Toxoplasma gondii(T. gondii) and Listeria monocytogenes(L. monocytogenes) detection, confirming broad applicability. In summary, this study establishes an amplification-free Cascade-CRISPR detection platform that achieves high sensitivity and rapid turnaround, demonstrating strong potential for on-site screening of foodborne pathogens.

Interactions between drugs and their targets impact efficacy and, when altered by mutation, can result in resistance 1-3 . Assessing and understanding the impacts of all possible mutations at a drug binding site remain challenging, however 4-6 . Here, we used Multiplex Oligo Targeting (MOT) for mutational profiling, and computational modelling, to decode efficacy and resistance space at the otherwise native binding site for a low nanomolar potency, anti-trypanosomal, proteasome inhibitor 7 . We saturation-edited twenty codons in the Trypanosoma brucei proteasome β5 subunit and subjected the resulting MOT libraries to stepwise drug selection. Amplicon sequencing, and codon variant scoring, yielding dose-response profiles for >100 resistance-conferring mutants, among 1,280 possible codon variants. Codon variant scores were predictive of relative resistance observed using a bespoke set of mutants, while fitness profiling revealed otherwise extensive constraints on mutational fitness and resistance space. The resistance profile that emerged allowed us to readily predict routes to spontaneous drug resistance observed within ‘accessible’, single nucleotide mutational space. In silico analysis of β5 subunit mutations predicted impacts on ligand affinity via steric effects, hydrogen-bonding and lipophilicity, which when combined with predictions of proteasome function perturbing mutations, were closely aligned with observed impacts on drug resistance. We conclude that MOT-library profiling facilitates assessment of all possible mutations at a drug binding site. Further decoding of drug target structure-activity relationships and drug resistance space will facilitate the design of more effective and durable drugs.

ABSTRACT Since their discovery, CRISPR–Cas systems have been widely applied in areas ranging from genome editing to biosensing, owing to their specific, RNA-guided target recognition. Their performance in complex biological environments has been extensively studied, particularly to optimize guide RNA design and minimize off-target cleavage. Here, we focus on the kinetic inhibition of the interaction between Cas12a - a Class 2, Type V effector - and its target, caused by interference from non-cognate background nucleic acids. This effect is particularly relevant for sensing applications in complex mixtures or cellular contexts, where genome- and transcriptome-derived sequences may impede CRISPR–Cas activity. Using in vitro assays under defined conditions, we systematically examine the influence of background single-stranded RNA (ssRNA) and double-stranded DNA (dsDNA) on reaction kinetics. We find that both the purine-to-pyrimidine ratio and the GC content of the guide RNA seed region significantly affect kinetic inhibition by background polynucleotides. Guide RNAs with low GC content and a high purine fraction in the seed region were least affected by background sequences. Experiments with dCas12a-based gene activation in living cells indicate that our in vitro findings may also be relevant for in vivo applications.

Understanding the evolution of insect resistance to natural and artificial poisons is important both to appreciate the adaptation of species to toxic ecological niches 1 and manage pest insects 2 . While resistance to chemicals that target neuronal ion channels is well-appreciated 3,4 , dissecting toxin resistance mechanisms is hampered by its complex genetic basis. Here, we investigated how Drosophila sechellia has evolved resistance to octanoic acid (OA), a historically-important paradigm of adaptation to a natural toxin 5,6 . OA is an abundant component of Morinda citrifolia noni fruit – the exclusive niche of D. sechellia – and is toxic to many other insects, including its close relatives Drosophila simulans and Drosophila melanogaster 5,6 . We experimentally evolved D. simulans populations with increased OA resistance, identifying hundreds of loci displaying signatures of selection. Cross-referencing of these loci with the results of a genome-wide, CRISPR knockout screen for OA tolerance genes in D. melanogaster S2R+ cells highlighted two proteins of interest: Kraken, a putative detoxification enzyme of the serine hydrolase family expressed most strongly in the digestive and renal systems 7,8 , and Alkbh7, a ubiquitously-expressed, mitochondrial-localised protein, whose mammalian orthologue functions in fatty acid metabolism 9,10 . In D. sechellia , kraken and Alkbh7 display both signs of selection and elevated expression, mirrored by their higher transcription in artificially-evolved, OA-resistant D. simulans . In D. melanogaster , loss-of-function of kraken , but not Alkbh7 , led to increased susceptibility to OA; conversely, overexpression of Alkbh7 , but not kraken , increased OA resistance. Importantly, mutation of these genes in D. sechellia demonstrated a contribution of these proteins to the natural resistance of this species, identifying the first specific loci underlying this multigenic trait. Our results suggest an adaptive role of these genes in shaping OA resistance both under laboratory selection and during D. sechellia ’s evolutionary history. More generally, this work emphasises the experimental power of drosophilids to dissect multilayered molecular mechanisms of toxin resistance, with applications in the development of novel insecticides.

Phage therapy has been proposed as an alternative to antibiotics to treat resistant infections. However, we have a limited understanding of how antibiotic resistance genes (ARGs) associate with bacterial phage defense systems (PDSs). Here, we explore the relationship between ARGs and PDSs in a sample of 2,559 plasmids originating from 1,044 E. coli isolates, representing a snapshot of clinical and non-clinical diversity in Oxfordshire, UK (2008-2020). In total, we identify 3,193 ARGs and 14,013 PDSs (180 unique types). We demonstrate that E. coli plasmids are enriched for ARGs and PDSs (both p<0.001), with a bias towards toxin-antitoxin/abortive-infection, TIR-domain and CBASS systems (all q<0.025). We proceed to show that ARGs and PDSs are physically linked by plasmids ( p <0.001). Together, our results suggest that phage therapy may inadvertently select for antibiotic resistant bacteria, and that antibiotic use may similarly drive resistance to phage.

Ubiquitin E3 ligases play crucial roles in the DNA damage response (DDR) by modulating the turnover, localization, activation, and interactions of DDR and DNA replication proteins. To gain further insight into how the ubiquitin system regulates the DDR, we performed a CRISPR-Cas9 knockout screen focused on E3 ligases and related proteins with the DNA topoisomerase I inhibitor, camptothecin. This uncovered the CTLH ubiquitin E3 ligase complex — and particularly one of its core subunits, MAEA — as a critical regulator of the cellular response to single-ended DNA double-strand breaks (seDSBs) and replication stress. In tandem, we identified patients with variants in MAEA who present with neurodevelopmental deficits including global developmental delay, dysmorphic facial features, brain abnormalities, intellectual disability, and abnormal movement. Analysis of patient-derived cell lines and mutation modeling reveal an underlying defect in HR-dependent DNA repair and replication fork restart as a likely cause of disease. We propose that MAEA dysfunction hinders DNA repair by reducing the efficiency of RAD51 loading at sites of DNA damage, which compromises genome integrity and cell division during development.

Honey bees visit food sources up to several kilometers away from their hives, which is underpinned by their sophisticated learning and memory, and cognitive abilities. However, the molecular and neural bases for these advanced brain functions remain obscure. Here, we focused on mKast , a gene preferentially expressed in the optic lobes, a visual center, and a specific Kenyon cell subtype in the mushroom bodies, a higher-order center, in the honey bee brain. We successfully produced homozygous mutant honey bee workers by crossing individuals mutated with CRISPR/Cas9 targeting mKast . Through behavioral analyses of mKast mutants using a new conditioning paradigm and a visual response assay, we found that mKast functions in bimodal learning and memory based on olfactory and visual information, and direction-specific motion sensing. We also found that mKast homozygous mutants have defects in survival outside the colony. These findings suggest that mKast modulate brain functions underlying homing ability that is essential for nidificating hymenopteran species.

A new frontier in functional genomics is to construct “Perturbation Atlas” that systematically profiles the effects of perturbation of all the mammalian genes across various cell types in health and disease. To this end, we have previously developed an in situ CRISPR screening platform in mice named iMAP, where Cas9 guides are “stored” in germline-transmitted transgenes but inducibly “released” (expressed) via Cre-mediated recombination. A major limitation of iMAP is a strong bias in guide representation following the recombination. We now report that this bias was effectively mitigated by eliminating a recombination hotspot at the transgene. We next profiled, across 46 tissues, the abundance of the guides targeting 71 (52%) genes encoding writers, readers and erasers of RNA modifications, revealing their context- specific functions. Furthermore, in a tumor model, we identified regulators of NK cell activation, which was validated in human NK cells, thus offering potential targets for improving cancer immunotherapy. Finally, a public database was established for accessing and analyzing iMAP data. Our study marks an important step toward the creation of the Perturbation Atlas.

Despite advances in disease treatment, our understanding of how damaged organs recover and the mechanisms governing this process remain poorly defined. Here, we mapped the transcriptional and regulatory landscape of human cardiac recovery using single cell multiomics. Macrophages emerged as the most reprogrammed cell type. Deep learning identified the transcription factor RUNX1 as a key regulator of this process. Macrophage-specific Runx1 deletion recapitulated the human cardiac recovery phenotype in a chronic heart failure model. Runx1 deletion reprogrammed macrophages to a reparative phenotype, reduced fibrosis, and promoted cardiomyocyte adaptation. RUNX1 chromatin profiling revealed a conserved regulon that diminished during recovery. Mechanistically, the epigenetic reader BRD4 controlled Runx1 expression in macrophages. Chromatin activity mapping, combined with CRISPR perturbations, identified the precise regulatory element governing Runx1 expression. Therapeutically, small molecule Runx1 inhibition was sufficient to promote cardiac recovery. Our findings uncover a druggable RUNX1 epigenetic mechanism that orchestrates recovery of heart function.

The Y1 mouse adrenocortical carcinoma cell line presents amplification of the KRas oncogene and high-basal levels of KRAS-GTP mediated by the GEF SOS. In this research, we developed a dynamic model based on ordinary differential equations of the KRAS-GTP activation mediated by SOS in Y1 cells, which showed that SOS only is not sufficient to reach the high-basal levels of KRAS-GTP experimentally observed for this cell line. Interestingly, a modification in this system, which added another GEF in the model, made the model reach the expected levels of KRAS activation, leading to the hypothesis that there was a missing element in this system. To find this missing element, a PCR panel of RasGEFs was performed and the GEF Rasgrp4 was found highly expressed in parental Y1 cell lines, indicating that this was the missing element in the system. Finally, tumor growth assays in Balb/c-NUDE mice with the Y1 cell versus RASGRP4 CRISPR depleted Y1 cells, showed reduced tumor growth and frequency for the RASGRP4 depleted cells.

The regenerative response of retinal cells to injury and aging depends on the epigenomic plasticity that enables the dedifferentiation and neuronal differentiation capacities of Müller glial cells (MG). In mammals, this regenerative ability is extremely limited, and disruptions in epigenetic mechanisms, particularly those involving DNA methylation and demethylation, may underlie this restricted potential. To explore this possibility, we aimed to develop DNA methylation-targeting molecular tools to enhance the dedifferentiation and neurogenic capacity of primary MG cultures derived from mouse retina. Using CRISPR/dCas9-based gene regulation technology, we selectively and transiently inhibited Dnmt3a , a de novo DNA methyltransferase previously implicated in maintaining transcriptional repression. Our results show that Dnmt3a knockdown leads to sustained upregulation of pluripotency-associated genes, including Ascl1 , Lin28 , and Nestin , as measured by RT-qPCR and immunofluorescence. This epigenetic modulation also promoted increased cell proliferation and migration, both hallmarks of a regenerative response. Furthermore, Dnmt3a knockdown, either alone or in combination with neurogenic stimuli, induced MG to acquire neuronal-like morphologies and express the early neuronal marker βIII-tubulin. These findings suggest that Dnmt3a acts as a repressive regulator of MG plasticity, likely serving as an epigenetic barrier that counteracts injury-induced demethylation events. Overall, our study identifies Dnmt3a as a critical modulator of MG fate and highlights the potential of its targeted downregulation to facilitate reprogramming. By prolonging the transient progenitor-like state of MG, DNMT3a inhibition may serve as a complementary approach to unlock the neurogenic and regenerative potential of the mammalian retina, offering promising avenues for future therapeutic strategies. Author Summary Retinal damage caused by injury, disease, or aging can lead to vision loss and ultimately blindness. Unlike mammals, the small freshwater zebrafish possesses a remarkable ability to regenerate its retina and restore vision after injury. Extensive research has focused on uncovering the molecular mechanisms behind this regenerative process in zebrafish, with the goal of understanding what is absent or suppressed in the mammalian retina. It is now well established that this regenerative capacity depends on a specific type of retinal cell: Müller glia. These cells can undergo dedifferentiation, a process in which they lose their specialized function, morphology, and gene expression profile. This is followed by neuronal differentiation, allowing them to replace lost neurons with newly generated ones. In recent years, numerous molecules and molecular pathways have been identified that may limit regenerative potential in mammals. In this study, we developed a molecular tool to specifically block one of these inhibitory factors, DNMT3a, a DNA methyltransferase involved in epigenetic repression. We demonstrate that in the absence of DNMT3a, mouse Müller glia can more efficiently dedifferentiate and subsequently adopt neuronal-like characteristics. These findings suggest that DNMT3a acts as a barrier to retinal regeneration and may represent a promising target for future therapeutic strategies aimed at promoting neural repair in the mammalian retina.

We know little about the fitness landscapes of bacterial operators, regulatory DNA elements that are crucial to regulate metabolic genes like those of the lac operon for lactose utilization. For example, we do not know whether adaptive evolution could easily create strong operators from weak ones or from non-regulatory DNA. To find out, we used CRISPR-Cas-assisted genome editing, bulk competition, and high-throughput sequencing to map the fitness landscape of more than 140,000 lac operator variants in two chemical environments that harbor lactose or glycerol as sole carbon sources. Both landscapes are highly rugged and contain thousands of fitness peaks, which allow only 2 percent of evolving populations to reach a high fitness peak. The landscapes share only 15 percent of fitness peaks. Our work illustrates that landscape ruggedness caused by epistasis can represent an important obstacle to adaptive evolution of regulatory sequences. It also shows that a simple environmental change can substantially affect fitness landscape topography.

Recent advances in prime editing technologies using CRISPR modules fused with reverse transcriptase (RT) have enabled efficient and precise reprogramming of target genomic sequences. Twin prime editing using two coordinated prime editor complexes is a promising strategy for inducing extensive genomic modifications via reverse transcribed complementary templates. However, current twin prime editing systems still require improvements in editing efficiency, accuracy, and intended edit predictability. Here, efficiency and precision of twin prime editing were enhanced via engineering and optimizing conventional SpCas9(H840A)-RT-based prime editor components. A La domain–fused prime editor (La-SpCas9(H840A)-RT) and optimized pegRNAs were developed, achieving a 1.75 ± 0.21-fold increase in gene editing efficiency at multiple genomic loci in human-derived cell lines without increasing off-target activity. La-SpCas9(H840A)-RT facilitated efficient ∼2.8 kb GFP transgene knock-in at target loci and eliminated the expanded polyQ tract in ATXN3 in patient-derived mutant cell lines modeling spinocerebellar ataxia type 3. The advanced twin prime editing platform expands genome engineering capabilities beyond existing CRISPR-based systems and holds great promise for diverse biotechnological and therapeutic applications.

Targeted delivery of macromolecular therapeutics holds great promise for overcoming the limitations of conventional small molecules, enabling modulation of protein-protein interactions and precise genome editing. However, efficient, safe, and cell type-specific delivery remains a major challenge. To address this, we developed a modular platform for synthesizing heterotrifunctional bio-orthogonal macromolecular conjugates (BMCs) by engineering diverse combinations of targeting ligands, cell-penetrating peptides (CPPs), and bioactive cargos. We optimized facile bioconjugation chemistries to generate BMCs with improved yields, structural integrity, and activity. Modular BMCs accommodate diverse components, including antibodies and receptor ligands for targeting, CPPs for intracellular trafficking, and optical probes, therapeutic peptidomimetics, and CRISPR-Cas9 nuclease as cargos to confer specific biological activities. We assayed their utility across multiple applications: BMCs with fluorescently labeled cargo revealed endosomal escape and intracellular accumulation; peptidomimetic MYB transcription factor inhibitor BMCs exhibited potent anti-leukemic activity against acute myeloid leukemia cells; and Cas9 BMCs achieved rapid delivery and cell type-specific gene editing in human cells. The BMC approach enables customizable delivery of functional macromolecules, nominating BMCs as a broadly applicable platform for biomedical applications. One-Sentence Summary The establishment of modular platform for synthesizing bio-orthogonal macromolecular conjugates (BMC) enabled fast and targeted delivery of membrane-impermeant macromolecular drugs.

Plant cysteine oxidases (PCOs) are O 2 -sensing enzymes that play an important role in plant responses to low oxygen (hypoxia). PCO-catalysed dioxygenation of the N-terminal Cys of substrates, including Group VII Ethylene Response Factors (ERVIIs), targets them for degradation via the Cys/Arg N-degron pathway, however these substrates are stabilized in hypoxia due to reduced PCO activity. When plants are flooded, submergence-induced hypoxia results in ERFVII-mediated upregulation of hypoxia responsive genes that reconfigure plant metabolism and allow short-term resilience to the conditions. However, the increasing frequency and duration of flood events requires strategies to improve plant flood resilience, particularly amongst agronomic crops. One possibility is to prolong the stability of ERFVIIs by engineering the PCOs to catalyse their oxidation less efficiently. We report a structure-guided kinetic and biophysical investigation of Arabidopsis thaliana PCO4 that reveals residues important for substrate-binding and catalysis. We subsequently selected At PCO4 variants Y183F and C173A, with severe and mild impacts on At PCO4 activity, respectively, to complement Arabidopsis pco1pco2pco4pco5 plants and investigate their impact on submergence resilience. Both variants appeared to be beneficial for survival and recovery after 2.5 and 3.5 days of dark submergence when compared to control plants, indicating that engineering PCOs can be used as a strategy to improve flood tolerance in plants.

Motivation Approximate string matching (ASM) is the problem of finding all occurrences of a pattern P in a text T while allowing up to k errors. ASM was researched extensively around the 1990s, but with the rise of large-scale datasets, focus shifted towards inexact approaches based on seed-chain-extend . These methods often provide large speedups in practice, but do not guarantee finding all matches with ≤ k errors. However, many applications, such as CRISPR off-target detection, require exhaustive results with no false negatives. Methods We introduce Sassy, a library and tool for ASM of short (up to ≈1000 bp) patterns in large texts. Sassy builds on earlier tools that use Myers’ bitpacking, such as Edlib. Algorithmically, the two main novelties are to split each sequence into 4 parts that are searched in parallel, and to use bitvectors in the text direction ( horizontally ) rather than the pattern direction ( vertically ). This allows significant speedups for short queries, especially when k is small, as has complexity O ( k⌈n/W⌉ ) when searching random text, where W = 256 is the SIMD width. Practically speaking, Sassy is the only recent index-free tool that is designed specifically for ASM, rather than the more common semi-global alignment. In addition, Sassy supports the IUPAC alphabet, which is essential for primer design and for matching ambiguous bases in assemblies. Separately, we also introduce the concept of overhang cost a variant of ‘overlap’ alignment where e.g. a suffix of the pattern is matched against a prefix of the text, where each character of the pattern that extends beyond the text incurs a cost of e.g. α = 0.5. This is important when matches are near contig or read ends. Results Compared to Edlib, Sassy is 4 × to 15 × faster for sequences up to length 1000, and has throughputs exceeding 2 GB/s, whereas Edlib remains below 130 MB/s. Likewise, Sassy is up to 10 × faster than parasail when searching short strings. Sassy is also readily applicable to biological problems such as CRISPR off-target detection. When searching 61 guide sequences in a human genome, Sassy is 100 × faster than SWOffinder and only slightly slower (for k ≤ 3) than CHOPOFF, for which building its index takes 20 minutes. Sassy also scales well to larger k ∈ {4, 5}, unlike CHOPOFF whose index took over 10 hours to build. Availibility Sassy is available as Rust library and binary at https://github.com/RagnarGrootKoerkamp/sassy .

Abstract Tomato high pigment-2 (hp-2dg, hp-2, and hp-2j) mutant lines are characterized by mutations in the DE-ETIOLATED1(SlDET1; Solyc01g056340) gene. SlDET1 is responsible for encoding a nuclear protein that acts as a negative regulator involved in light signaling, repressing photomorphogenesis. These tomato mutant lines are known for increased levels of antioxidant pigments in fruits, such as flavonoids and carotenoids, compared to the wild-type fruits. In this study, CRISPR/Cas9 followed by the non-homologous end joining mechanism of repair (NHEJ), was used to target the SlDET1gene and investigate whether the effects of these mutations could mimic the effects of hp-2 mutant lines, improving the nutritional features of tomato fruits. Our results indicated that mutations generated by CRISPR/Cas9 NHEJ in the hp-2and hp-2j regions (exon 11) resulted in significant changes in the SlDET1 coding and protein sequences, causing a low survival rate of edited sprouts and regenerated plants with very compromised capacity of allelic heritability of these mutations for the following generations. However, regenerated plants containing these site-specific mutations in the SlDET1 gene showed higher levels of phytochemicals in ripe fruits. Furthermore, these edited plants also showed an upregulation of structural genes involved in the synthesis of these biocompounds. Although the SlDET1 gene could be considered an interesting target gene for the nutritional improvement of tomato fruit, our results showed that mutations within its exon 11 are quite critical and can induce severe perturbations in plant metabolism, physiology, and survival, with a compromised possibility to develop new stable edited lines.

Abstract Corneal neovascularization is a sight-threatening condition for which current treatments such as anti-VEGF agents are limited by invasiveness and side effects. We present the first non-viral, CRISPR/Cas9-based gene therapy delivered via topical eye drops that penetrates the cornea and inhibits pathological neovascularization. Cas9 ribonucleoproteins (RNPs) targeting the Vegfa gene were complexed with a liposomal carrier (lipofectamine) and administered to mice after alkali burn injury to the cornea. This approach achieved approximately 2% gene editing at the Vegfa locus in vivo, which significantly reduced local VEGF-A expression. Consequently, treated corneas showed markedly decreased macrophage infiltration and robust suppression of both hemangiogenesis and lymphangiogenesis compared to untreated controls. These findings demonstrate that even modest in vivo gene editing can yield a strong therapeutic effect, highlighting a clinically relevant strategy for controlling corneal angiogenesis. Our study introduces a feasible and safe topical CRISPR therapy for corneal diseases, offering a potential alternative to invasive or virus-based gene delivery methods.

Background: Autoimmune diseases are chronic, debilitating conditions caused by the immune system mistakenly attacking healthy tissues. Conventional treatments mainly involve broad immunosuppression, which is associated with significant side effects, lim-ited specificity, and suboptimal long-term outcomes. Objective: This review aims to ex-plore recent advances in nanotechnology-based therapies for autoimmune diseases, fo-cusing on their mechanisms, therapeutic applications, and clinical translation potential. Methods: A comprehensive review of peer-reviewed literature was conducted to examine various nanotechnology platforms, including drug-loaded nanoparticles, antigen-specific nanomedicines, RNA interference (siRNA), CRISPR-enabled systems, and stimu-li-responsive nanocarriers. Key preclinical and clinical studies were highlighted to evalu-ate efficacy and safety. Results: Nanomedicine offers multiple advantages over traditional therapies, such as targeted drug delivery, improved bioavailability, reduced systemic tox-icity, and potential induction of immune tolerance. Notable innovations include biode-gradable polymeric nanoparticles, liposomes, micelles, exosome-mimetic nanoparticles, and magnetic nanomaterials. Emerging technologies like CRISPR-Cas9 and RNAi deliv-ered via nanoparticles are advancing immune modulation in autoimmune models. De-spite promising outcomes, several barriers remain, including toxicity concerns, scale-up manufacturing issues, and regulatory challenges. Conclusion: Nanotechnology is rede-fining autoimmune disease therapy by shifting from non-specific immunosuppression to precision-targeted approaches. Future progress lies in integrating nanomedicine with personalized medicine to tailor treatments based on individual immune profiles. Contin-ued interdisciplinary collaboration and regulatory alignment are essential to translating these innovations into clinical practice.

Chondrosarcoma is the most common type of primary bone sarcoma in adults but with a high risk of local recurrence and metastasis. Most chondrosarcomas are resistant to chemotherapy and radiotherapy, which means that surgery is the only effective treatment option for the majority of patients. Therefore, new therapeutic targets are required. CD44 is a transmembrane protein that has roles in cell proliferation, adhesion and migration and it has already been shown to be overexpressed in several cancer types. In this study, chondrosarcoma patient tissue sections were characterised for CD44 expression using immunohistochemistry. The relationship between CD44 expression in the patient tissue and overall and event-free survival was then investigated. CRISPR/Cas9 gene editing was also used to knockout CD44 from chondrosarcoma cells which were used in a spheroid invasion assay to understand the role of CD44 in chondrosarcoma cell invasion. Cox multivariate analysis of CD44 expression by chondrosarcoma patient tissue revealed that high CD44 expression was linked to decreased overall and event-free survival. Furthermore, the invasion of the CD44 knockout cells in the spheroid invasion assay was less than the invasion of the wild-type cells. Increased expression of CD44 for intermediate and high grades of chondrosarcoma as well as reduced invasion of CD44 knockout cells suggests that CD44 plays an important role in chondrosarcoma metastasis. CD44 is therefore worthy of further investigation as an imaging and therapeutic target.

SUMMARY The SAGA transcriptional co-activator complex regulates gene expression through histone acetylation at promoters, mediated by its histone acetyl transferase, KAT2A. While its structure and function have been extensively investigated, how the stability of individual subunits of SAGA, including KAT2A, is regulated, remains unclear. Here, using a fluorescence-based KAT2A stability reporter, we systematically dissect the molecular dependencies controlling KAT2A protein abundance. We identify the non-enzymatic SAGA CORE module subunits—TADA1, TAF5L, and TAF6L— as necessary for KAT2A stability, with loss of these subunits disrupting the integrity of SAGA, leading to non-chromatin-bound KAT2A that is degraded by the proteasome, consequently leading to reduced H3K9 acetylation. Proteomic profiling reveals progressive loss of CORE and HAT components upon acute disruption of the SAGA CORE, indicating that an intact CORE is required for the stability of numerous components of SAGA. Finally, a focused CRISPR screen of ubiquitin-proteasome system genes identifies the E3 ligase UBR5, a known regulator of orphan protein degradation, and the deubiquitinase OTUD5, as regulators of KAT2A degradation when the SAGA CORE is perturbed. Together, these findings reveal a dependency of KAT2A protein stability on SAGA CORE integrity and define an orphan quality control mechanism targeting unassembled KAT2A, revealing a potential vulnerability in SAGA-driven malignancies.

High-throughput profiling of neuronal activity at single-cell resolution is essential for advancing our understanding of brain function, enabling large-scale functional screens, and modeling neurological disorders. However, existing approaches are limited by scalability, manual data processing, and variability, thus restricting their ability to detect disease-associated phenotypes. Here, we present a scalable, open-source platform that integrates optogenetic stimulation, calcium imaging, automated data acquisition, and a fully integrated analysis pipeline. By combining spontaneous and evoked activity profiling, the system enables robust quantification of dynamic neuronal responses across hundreds of stem cell-derived human neurons and multiple timepoints, facilitating phenotyping at both cellular and network levels. We validated the platform by recapitulating established activity phenotypes in neurodevelopmental disorders including CDKL5 Deficiency Disorder and SSADH deficiency. In addition, we generated CRISPR-Cas9 knock-in human induced pluripotent stem cell (hiPSC) lines stably expressing the genetically encoded calcium indicator GCaMP6s to model network dysfunction in Tuberous Sclerosis Complex (TSC). Using this system, we further demonstrated functional rescue of the altered neuronal activity observed in the TSC following pharmacological intervention. By linking single-cell dynamics to population-level phenotypes, this framework provides a powerful and broadly applicable tool for disease modeling, mechanistic studies, and therapeutic screening across a range of neurological disorders.

Elucidating the spatial and temporal regulation of gene expression during plant organogenesis is crucial for enabling precise crop improvement strategies that incorporate beneficial traits into crops while avoiding adverse effects. Root nodules, specialised organs formed in symbiosis with nitrogen-fixing bacteria, provide a valuable system to study cell-type-specific gene networks in a symbiosis-induced developmental context. However, capturing these dynamics at cellular resolution in intact plant tissues remains technically challenging. Spatial transcriptomics technologies developed for animal systems are often not directly transferable to plant tissues due to fundamental differences in tissue composition between plants and animals, including rigid and heterogeneous plant cell walls, high cell wall autofluorescence, and large vacuoles in plant cells that complicate probe access and signal detection. To address these challenges, we present an optimised protocol for applying the Xenium in situ sequencing platform to formalin-fixed paraffin-embedded (FFPE) sections of plant tissues, including Medicago truncatula roots and nodules. Key technical adaptations include customised tissue preparation, optimised section thickness, hybridisation conditions, post-Xenium staining, imaging, and downstream image analysis, all tailored specifically for plant samples. To mitigate autofluorescence and enhance detection sensitivity, we employed a strategic approach to codeword selection during probe design. Furthermore, we developed a modular probe design approach combining a custom 380-gene standalone panel with a 100-gene add-on panel. This design allows flexibility for addressing diverse research questions and includes orthologous gene sequences from two Medicago ecotypes, ensuring compatibility for downstream functional validation using mutant lines available in both genetic backgrounds. We validated the protocol across nodules at multiple developmental stages using both the 50-gene panel targeting mature nodule cell identity and the extended 480-gene panel, which includes markers across different cell types and developmental stages, as well as genes of interest identified from prior single-cell and bulk RNA-seq analyses. This optimised workflow provides a reproducible and scalable method for high-resolution spatial transcriptomics in plant tissues, establishing a robust foundation for adaptation to other plant species and developmental systems.

Extracellular vesicles (EVs) are crucial mediators of intercellular communication that originate through one of two pathways: outward budding of the plasma membrane (PM) or fusion of mature (late) endosomes with the PM. How cells balance these EV biogenesis routes remains unclear. To address this, we performed a genome-wide CRISPR activation screen for genes that increase cell surface levels of the tetraspanin CD63—an EV marker that shuttles between late endosomes and the PM. This unbiased approach identified a membrane adaptor protein, MARCKSL1, commonly upregulated in diverse tumor types. Follow-up studies, integrating genomic activation/ablation with microscopic and proteomic approaches, revealed that MARCKSL1 potentiates EV secretion from the PM, (in part) at the expense of late endosome—PM fusion. Probing the molecular context of MARCKSL1 function, we implicate PM-bridging cytoskeletal components (e.g., Radixin) and SNARE-associated proteins (e.g., STXBP3) as collaborators of MARCKSL1. Collectively, our findings reveal new mechanistic underpinnings of PM remodeling and position MARCKSL1 as a gauge between different platforms of EV biogenesis.

Photosynthetic organisms have evolved mechanisms to manage excess light, crucial for maximizing photosynthetic efficiency. High-light (HL) tolerant Synechocystis sp. PCC6803 strains were developed through laboratory evolution, with tolerance attributed to specific point mutations. Key mutations affected the NDH-1L complex F1-subunit (NdhF1 F124L ) and translation elongation factor G2 (EF-G2 R461C ). Reintroducing these mutations into laboratory strains conferred HL tolerance. Comparisons with knockout and overexpressor lines showed NdhF1 F124L and EF-G2 R461C result in gain of function. Transcriptomic and proteomic analysis unveiled a network of responses contributing to HL tolerance, including maintenance of phosphate metabolism and decreased antenna size by depleting a specific linker protein in EF-G2 R461C cells. Consequently, overexpression of Pho regulon genes increased HL tolerance. NdhF1 F124L enhances cyclic electron flow (CEF) by increasing NDH-1 complex subunit accumulation. Other HL-adapted strains demonstrated that increased CEF and decreased antenna size are recurring outcomes, achievable through various mutations. This study demonstrates how limited mutations can reconfigure cells for enhanced HL tolerance, offering insights for improving photosynthetic efficiency.