Histone proteins and their variants have been found to play crucial and specialized roles in chromatin organization and the regulation of downstream gene expression; however, the relationship between histone sequence and its effect on chromatin organization remains poorly understood, limiting our functional understanding of sequence variation between distinct subtypes and across evolution and frustrating efforts to rationally design synthetic histones that can be used to engineer specified cell states. Here, we make the first advance towards engineered histone-driven chromatin organization. By expressing libraries of sequence variants of core histones in human cells, we identify variants that dominantly modulate chromatin structure. We further interrogate variants using a combination of imaging, proteomics, and genomics to reveal both cis and trans- acting mechanisms of effect. Functional screening with transcription factor libraries identifies transcriptional programs that are facilitated by engineered histone expression. Double mutation screens combined with protein language models allow us to learn sequence-to-function patterns and design synthetic histone proteins optimized to drive specific chromatin states. This work establishes a foundation for the high-throughput evaluation and engineering of chromatin-associated proteins and positions histones as tunable nodes for understanding and modulating mesoscale chromatin organization.

Current gene transfer methods often lack the precision, versatility, or efficiency when integrating large transgenes, limiting the ability to engineer therapeutic T-cells with more complex payloads. Here, we report ‘one-pot’ PASTA (Programmable and Site-specific Transgene Addition), a non-viral genome engineering strategy for large gene insertion that combines CRISPR-Cas-mediated homology-directed repair (HDR) and site-specific recombination via serine integrases. Using ‘one-pot’ PASTA with the Bxb1 integrase, we demonstrate efficient integration of transgenes at multiple genomic loci relevant for T-cell engineering (e.g., TRAC, B2M, CD3E, CD3Z, GAPDH ). For constructs > 8 kb, ‘one-pot’ PASTA outperforms conventional HDR by 19-fold on average and prime-editing-assisted site-specific integrase gene editing (PASSIGE) by 5-fold. This enables the delivery of multi-cistronic cargo to generate dual-antigen targeting CAR T-cells with a safety-switch that overcome antigen escape in lymphoma models. Finally, ‘one-pot’ PASTA can be further optimized with improved integrase enzymes, such as engineered variants of Pa01 or Bxb1, and plasmids with minimized backbones. In summary, ‘one-pot’ PASTA represents a versatile and scalable platform for precise, non-viral gene insertion in T-cells.

Summary Reprogramming somatic cells to induced pluripotent stem cells (iPSCs) is the most established cellular conversion by exogenous master transcription factors (TFs). A deeper understanding of this yet inefficient process is critical to extending our capability to control cellular identity for medical applications. Here we report 14 genes essential for efficient iPSC generation, but dispensable for self-renewal. Of those, overexpression of Hic2 , a transcriptional suppressor highly expressed in PSCs, enhances iPSC generation ∼10-fold. This is achieved through a more direct transition towards pluripotency, bypassing an intermediate state with KLF4-dependent transient epidermal gene expression during iPSC generation. Mechanistically, HIC2 co-occupies these KLF4 targets and directly inhibits their expression. Our work demonstrates that master TFs necessary for cellular conversions can also activate obstructive genes during cellular reprogramming. We propose that identifying transcriptional suppressors against such side effects, like Hic2 , can be a powerful strategy to achieve more efficient TF-mediated cell conversions.

The tRNA nuclease SLFN11 is epigenetically silenced in ∼50% of treatment-naive tumours and is the strongest predictor of chemoresistance but why it is frequently inactivated in cancer is unknown. To acquire immortality, cancer cells can activate alternative lengthening of telomeres (ALT), typically accompanied by ATRX loss. Here, we implicate SLFN11 in sensing telomere replication stress, triggering eradication of ATRX deficient cells prior to ALT establishment. Whereas progressive telomere shortening of cells lacking telomerase and ATRX leads to telomere crisis and cell death, SLFN11 loss confers tolerance to PML-BLM dependent ALT intermediates, permitting emergence of ALT survivors. We propose that during tumorigenesis SLFN11 inactivation is selected as means to tolerate endogenous replication stress following telomere crisis, leading to the development of therapy resistant tumours before treatment.

Transcriptional regulatory proteins are frequent drivers of oncogenesis and common targets for drug discovery. The transcriptional co-activator, ENL, which is localized to chromatin through its acetyllysine-binding YEATS domain, is preferentially required for the survival and pathogenesis of acute leukemia. Small molecules that inhibit the ENL YEATS domain show anti-leukemia effects in preclinical models, which is thought to be caused by the downregulation of pro-leukemic ENL target genes. However, the transcriptional effects of ENL YEATS domain inhibitors have not been studied in models of intrinsic or acquired resistance and, therefore, the connection between proximal transcriptional effects and downstream anti-proliferative response is poorly understood. To address this, we identified models of intrinsic and acquired resistance and used them to study the effects of ENL YEATS domain inhibitors. We first discovered that ENL YEATS domain inhibition produces similar transcriptional responses in naive models of sensitive and resistant leukemia. We then performed a CRISPR/Cas9-based genetic modifier screen and identified in-frame deletions of the essential transcriptional regulator, PAF1, that confer resistance to ENL YEATS domain inhibitors. Using these drug-resistance alleles of PAF1 to construct isogenic models, we again found that the downregulation of ENL target genes is shared in both sensitive and resistant leukemia. Altogether, these data support the conclusion that the suppression of ENL target genes is not sufficient to explain the anti-leukemia effects of ENL antagonists.

The mature B cell compartment consists of follicular (FO) and marginal zone (MZ) B cells, which develop from transitional type 2 (T2) B cells and mount T-dependent and T-independent antibody responses, respectively. TACI, a member of the TNF receptor superfamily, is expressed on all mature B cells, with highest levels on MZ B cells and plasma cells. Previous studies reported that TACI is a negative regulator of B cell survival. However, this conclusion is confounded by elevated levels of BAFF, a cytokine that supports B cell survival, in TACI- deficient mice. We now show that TACI does not directly regulate B cell survival but rather has a cell-intrinsic role in MZ B cell development. Loss of TACI leads to reduced MZ B cell numbers and impaired T-independent antibody responses. Mechanistically, we show that TACI is required for MZ B cell development from T2 B cell precursors via activation of the PI3K-AKT pathway and subsequent inhibition of the FOXO1 transcription factor.

Microridges are laterally elongated membrane protrusions from the apical surface of epithelial cells. Microridges are arranged in striking maze-like patterns. They are found on various mucosal epithelia in many animals, including the skin of zebrafish, where they are required to maintain mucus on the skin surface. Recent studies have revealed molecular mechanisms of how microridiges formation involving actin and actin-regulatory proteins. However, the molecular mechanism that deforms epithelial membranes to create microridge protrusions remain unknown. We have found that one of the I-BAR domain proteins, baiap2l1a, which is known to regulate membrane curvature, is required for microridge morphogenesis. CRISPR/Cas9 knockdown showed that baiap2l1a mutant zebrafish had defects in microridge morphogenesis. Baiap2l1a mutant zebrafish had shorter and wider microridges than WT microridges. Baiap2l1a localized to microridges, and its localization proceeded microridge actin formation. Furthermore, the baiap2l1a I-BAR domain, which binds and curves membranes, was sufficient to localize to microridges in zebrafish skin cells. Structure/function experiments revealed that the I-BAR domain alone could partially rescued microridge length in baiap2l1a mutants. A 39 amino acid deletion in the I-BAR domain, which caused the loss of one α-helix according to AlphaFold2 simulations, is sufficient to impair microridge localization and failed to rescue microridge elongation in baiap2l1a mutants. These results suggest that the I-BAR domain is required for baiap2l1a microridge localization and function. Eps8like1a, a member of the Eps8 family proteins known as an actin capping and bundling protein genetically interacted with baiap2l1a in microridge elongation. Together, we found that the membrane curvature protein baiap2l1a plays an important role in generating microridges in zebrafish epithelia.

ABSTRACT Proteins operate through a few critical residues, yet most proteins remain uncharacterized at the deep molecular resolution, particularly within essential genes, where functional dissection is obstructed by lethality. Here, we establish a platform for mutational scanning of essential genes at their endogenous locus , combining a repressible complementation system with multiplexed CRISPR-based genome editing in budding yeast. Our approach provides a generalizable framework for dissecting essential protein function in vivo , expanding the capacity to map critical residues underlying essential cellular processes. We applied this strategy to NRD1 , encoding an essential RNA Polymerase II (RNAPII) termination factor and performed a systematic alanine scanning with near-saturation coverage. We discovered novel and unexpected lethal mutations in the CTD-interacting domain (CID), thus revealing an unanticipated importance for this domain. Overall, our results demonstrate the power of our mutation scanning platform to map critical residues underlying essential cellular processes.

While most conserved microRNA (miRNA) transcripts harbor a suite of features that mediate their efficient biogenesis into small RNAs, some loci bear suboptimal attributes that enable additional layers of processing regulation. A notable example is cluster assistance, whereby a miRNA hairpin with suboptimal nuclear biogenesis can be enhanced by an optimal neighbor. This process involves local transfer of the Microprocessor complex, composed of the RNase III enzyme Drosha and its partner DGCR8, in concert with cofactors such as ERH and SAFB1/2. However, the mechanism(s) that underlie miRNA cluster assistance remain largely unclear. Here, we gain insights into this process by integrating mutant cells of Microprocessor and its cofactors with analysis of miRNA structure-function variants, biochemical tests and genomewide profiling. We define features of suboptimal miRNAs that render them dependent on cluster assistance, and distinguish amongst a network of proposed interactions amongst Microprocessor and its cofactors, to reveal a subset that are critical for cluster assistance. Most importantly, we use epistatic tests to separate and order the functional requirements for ERH and SAFB1/2 into a pathway. Our data indicate that ERH may engage in the process of Microprocessor transfer between hairpins, while SAFB factors (especially SAFB2) mediate recognition and stable binding of a suboptimal miRNA hairpin after Microprocessor transfer. Finally, we show how cluster assistance integrates into a feedback regulatory loop on Microprocessor, via Drosha-mediated cleavage of a suboptimal miRNA hairpin in the DGCR8 transcript. Altogether, our findings reveal complex regulatory transactions during biogenesis of clustered miRNAs.

SUMMARY DNA double-strand breaks and unresolved DNA replication intermediates are particularly dangerous during mitosis. Paradoxically, cells inactivate canonical DNA repair mechanisms during chromosome segregation in favor of alternative pathways that depend on TOPBP1 and CIP2A, but how they function is still poorly defined. Here, we describe the identification of DDIAS as a mitosis-specific DNA damage response protein. We establish DDIAS as a phosphorylation-dependent component and effector of the TOPBP1-CIP2A complex with single-stranded DNA (ssDNA)-binding activity, and thereby delineate a ssDNA protection mechanism that safeguards chromosome integrity during mitosis, particularly in BRCA-deficient cells. We also identify biallelic inactivating mutations in DDIAS and CIP2A in patients with severe neurodevelopmental phenotypes. These findings highlight the physiological importance of the DNA damage response in mitosis, and may open new avenues for synthetic-lethal therapy in BRCA-deficient cancers.

Leukocyte trafficking is a critical step in development of chronic intestinal diseases such as Crohn's disease. While strategies that block gut-homing have yielded partial success, this disease remains uncurable, leaving an unmet clinical need. This is the first paper to describe a role for cannabinoid receptor two (CB2R) signalling in promoting retinoic acid-mediated induction of the gut-homing associated integrin heterodimer α4β7. Using in vitro and in vivo models, we characterised the effects of pharmacological CB2R agonists and inverse agonists on T cell homing receptor expression and transmigration across gut-associated endothelial barriers. This ERK-dependent process coincides with increased T cell adherence in response to CB2R agonism with JWH133. These effects were reversed with an inverse agonist GP-1a in a CB2R-dependent manner. Selective deletion of CB2R using CRISPR in vitro or CD4Cre/+ floxed mice in vivo resulted in impaired endothelial cell adherence and decreased diapedesis into the ileal lamina propria. T cell-specific deletion of cnr2, the gene encoding CB2R, attenuated chronic murine ileitis characterised by decreased naïve T cell infiltration and loss of tissue architecture in 20wk TNFδARE/+ mice. This study supports further therapeutic development of CB2R-blocking drugs for the treatment of inflammatory bowel disease.

Micronutrients, particularly boron (B), iron (Fe), manganese (Mn), and zinc (Zn), are pivotal for cotton (Gossypium spp.) growth, reproductive success, and fiber quality, yet their roles are often overshadowed by macronutrient-focused fertility programs. This review synthesizes recent advancements in understanding the physiological, molecular, and agronomic roles of B, Fe, Mn, and Zn in cotton production, with a focus on their signaling integration and impact on nutrient use efficiency (NUE). Drawing from peer-reviewed liter-ature, experimental data, and regional surveys, we highlight how these micronutrients regulate critical processes such as photosynthesis, cell wall integrity, hormone signaling, and stress responses, directly in-fluencing root development, boll retention, and fiber quality. Deficiencies, exacerbated by soil pH, redox conditions, and nutrient interactions, contribute to significant yield gaps, even when macronutrients like nitrogen (N), phosphorus (P), potassium (K), and sulfur (S) are adequately supplied. Key genes, including BOR1, IRT1, NRAMP1, and GhZIP3, mediate micronutrient uptake and homeostasis, offering targets for breeding high-yield, nutrient-efficient cotton varieties. Advanced phenotyping using unmanned aerial ve-hicles (UAVs) and single-cell RNA sequencing (scRNA-seq) provide novel avenues for identifying nutri-ent-efficient genotypes and regulatory networks. The review also explores synergistic interactions between micronutrients and macronutrients to influence growth and yield of cotton. Future research directions in-clude leveraging microRNAs, CRISPR-based gene editing, and precision nutrient management to enhance B, Fe, Mn, and Zn use efficiency, addressing environmental challenges while closing persistent yield gaps in sustainable cotton production systems.

ABSTRACT CRISPR/Cas9 has transformed gene editing, enabling precise genetic modifications across species. However, existing sgRNA design prediction models based on in vitro data are difficult to generalize to in vivo contexts. In particular, approaches based on single-sgRNA design require additional filtering of in-frame mutations, which is inefficient in terms of both time and cost. In this study, we developed the first mammalian in vivo-trained prediction model to evaluate the efficiency of a dual-sgRNA-based exon deletion strategy. Using 230 editing outcomes of postnatal viable individuals, eight prediction models were constructed and evaluated based on generalized linear models and random forests. The final selected model, a Combined GLM, integrated the DeepSpCas9 score with k-mer sequence features, achieving an AUC of 0.759 (95% Confidence Interval: 0.697–0.821). Motif analysis revealed that CC sequences were associated with high efficiency and TT sequences were associated with low editing efficiency. This study demonstrates that integrating sequence-based features with existing design scores can improve sgRNA efficiency prediction in vivo. The proposed framework can be applied to the development of next-generation sgRNA design tools, with direct implications for gene therapy, effective animal model generation, and precision genome engineering. GRAPHICAL ABSTRACT

Background: Genetic mosaicism is a consequence of CRISPR-Cas9 genome editing that is difficult to study, especially when it involves structural variants occurring at low frequency. A comprehensive analysis of mosaicism requires deep and unbiased sequencing of the target loci, with accurate single molecule reads. Here we performed amplification-free PureTarget PacBio sequencing to investigate CRISPR-Cas9 outcomes at on-target and off-target sites in germline edited zebrafish and their offspring. Results: Thirty samples from pooled larvae and individual zebrafish were successfully sequenced, resulting in >1100x average target coverage. The PacBio reads reached an exceptional accuracy (QV39) over the target regions, with every read originating from a unique DNA molecule. The two haplotypes of the target loci displayed a balanced depth of coverage, while long-range PCR of the same samples resulted in skewed data. Further analysis of the PureTarget data revealed widespread genetic mosaicism in individual founder (F0) fish, with up to 18 distinct on-target events and 11 off-target events present in a single adult founder. Several CRISPR-Cas9 editing outcomes, including large structural variants and off-target mutations, were inherited to the F1 generation. Notably, as many as seven unique editing events were found among F1 juvenile offspring from a single founder pair, thereby confirming the presence of genetic mosaicism in germ cells of founder zebrafish. This implies that some consequences of CRISPR-Cas9 editing may emerge only in the second generation. We also analyzed DNA methylation but did not observe altered 5mC CpG signals in genome edited samples. Conclusions: PureTarget enables efficient, accurate and unbiased analysis of the full spectrum of genetic mosaicism in a sample. The potential risks of introducing germ cell mosaicism in founder individuals should be carefully evaluated when designing germline genome editing experiments.

Genome wide CRISPR-based perturbation screens are powerful discovery tools enabling the identification of novel gene dependencies through either gain or loss of function. While genome wide guide RNA (gRNA) libraries have advantages when using enAsCas12a, such as multiplex single gRNAs per gene, they may be subject to similar confounding factors that can affect the interpretation of large genome-wide datasets. Here, we examine the impact of these variables in over twenty enASCas12a multiple gRNA based perturbation screens performed using Humagne C, Humagne D and Inzolia libraries in human cells. We demonstrate that the choice of CRISPR library is often the most significant factor that influences genetic perturbation results, outweighing other variables such as either target cell lines or culture media conditions. A major contributor to this effect is gRNA representation bias within a given CRISPR library, where lower gRNA representation can lead to variable and more pronounced gene effect scores using either log fold change or Chronos analysis. These effects may be mitigated by using either multiple gRNA constructs per gene, by optimisation of CRISPR library production processes or by targeting with multiple independent gRNA libraries. Importantly, we also consider gRNA representation bias during CRISPR screen hit prioritisation. CRISPR library gRNA representation bias remains a major challenge in the interpretation of gene essentiality in perturbation screens.

Background Genome editing in human skeletal muscle research requires protocols that maximize delivery while preserving viability and clonal outgrowth. We sought to develop a reagent-free workflow for CRISPR/Cas9 editing in human immortalized myoblasts and to demonstrate its performance in two use cases, an IARS1 knockout and an MLIP homozygous knock-in. Methods We optimized electroporation parameters using a green fluorescent protein reporter to compare three electrical settings for transfection and survival in E6/E7 myoblasts, then applied ribonucleoprotein delivery for editing. We evaluated the effect of confluency at electroporation, performed single-cell cloning without antibiotics or fluorescence-activated sorting, and validated edits by high-resolution melting pre-screen followed by Sanger sequencing. Results Electroporation optimization identified one parameter set that maximized delivery while preserving viability. Performing electroporation at low confluency increased clonal outgrowth and editing rates. The workflow yielded an 84% success rate for IARS1 knockout and a 3.3% success rate for MLIP homozygous knock-in. High-resolution melting provided a very sensitive pre-screen, detecting 96% to 100% of actual edits, reducing the number of Sanger sequencing needed. Performance was reproducible across runs and myoblast lines and increasing single-cell seeding scaled yields without compromising purity. Conclusions This work provides a practical and reproducible selection-free protocol that couples electroporation optimization, low confluency editing, single-cell cloning, and high-resolution melting sorting to generate pure edited myoblast lines. The approach is applicable to disease modeling in neuromuscular research and clarifies feasibility boundaries for essential genes and homology-directed repair in these cells.

Abstract The polycomb repressive complex 2 (PRC2) catalyses the addition of H3K27me3 marks to chromatin and thus modifies gene repression controlling the differentiation and function of medullary TECs (mTECs). The zinc finger protein AEBP2 physically interacts with PRC2 as a non-essential core component of the complex, yet its precise role in TEC biology remains untested. Here, we demonstrate that a TEC-targeted loss of AEBP2 expression in mice increases TEC and total thymic cellularity yet unexpectedly impairs the differentiation and maintenance of mimetic TEC subtypes. AEBP2-deficient mTECs display H3K27me3-dependent modifications in chromatin accessibility which compromises the capacity to promiscuously express tissue-restricted genes (TRGs). Consequently, severe lymphocytic infiltrates are observed in peripheral tissues as a result of flawed central T cell tolerance induction. Taken together, these findings highlight the essential, context-dependent role of AEBP2 in TEC differentiation and function via its impact on chromatin structure, transcriptional regulation, and developmental programming.

Abstract Non-coding RNAs represent a widespread and diverse layer of post-transcriptional regulation across cell types and states, yet much of their diversity remains uncharted at single-cell resolution. This gap stems from the limitations of widely used single-cell RNA-sequencing protocols, which focus on polyadenylated transcripts and miss many short or non-polyadenylated RNAs. Here, we adapted single-cell RNA-sequencing on the 10x Genomics platform to capture a broad complement of coding and non-coding RNAs—including miRNAs, tRNAs, lncRNAs, histone RNAs, and non-adenylated viral transcripts. This approach enabled the discovery of rich, dynamic non-coding RNA programs across immune cells, virally infected hepatocytes, and the developing human brain. In dengue virus-infected hepatocytes, we detect non-adenylated viral transcripts and distinguish active from transcriptionally quiescent infected states, each with distinct host regulatory signatures. In brain tissue, we identify biotype-specific, cell-type–restricted non-coding RNAs, including miRNAs whose expression anticorrelates with predicted targets, consistent with post-transcriptional regulatory relationships. We show that MIR137, one of the strongest GWAS loci associated with schizophrenia and intellectual disability, is expressed specifically in Cajal-Retzius cells, an early-born but transient population that guides subsequent cortical neuron migration. These findings demonstrate the importance of non-coding RNAs in defining cell identity and state, and show how expanded transcriptome coverage can reveal additional layers of gene control—now accessible through practical and scalable single-cell profiling.

Genes act within complex regulatory networks, and genetic variants can perturb these networks by altering gene co-expression. Here, we performed co-expression quantitative trait locus (co-eQTL) mapping using single-cell RNA-seq from the sc-eQTLGen consortium (1,330 donors, >2 million cells), enabling sensitive detection and prioritization of informative variant–gene–gene triplets. We identified co-eQTLs for 398 eGenes where a nearby genetic variant affected both the gene’s expression ( cis -gene) and its co-expression with other genes, often implicating upstream regulators. For 181 genes, we inferred a likely upstream transcription factor, with motif disruption predicted for 41 genes. These upstream genes are more often loss-of-function intolerant and show more network connections, providing an explanation for why co-eQTL variants are 2.8x more strongly associated with immune diseases than classical eQTLs. These findings position co-eQTLs as mechanistic links between genetic variation and disease, revealing how variants can rewire cell-type-specific gene networks.

ABSTRACT Congenital CMV infection is the most common perinatal infection, affecting up to 0.5% of infants. This elicits long-term disabilities that include neuropsychiatric manifestations, such as intellectual disability, microcephaly. Despite its high prevalence, the underlying mechanism of how congenitally acquired CMV infection causes brain pathology remains unknown. Here we discovered the molecular interplay of key host (DISC1 and PML) and viral (IE1) proteins within the neural progenitor cells, which underlay an attenuated neural progenitor proliferation. Abolishing the viral IE1 protein by delivering IE1-targeting CRISPR/Cas9 to fetal brain rescued this progenitor cell deficit, a key pathology in congenital CMV infection. A selective targeting to a viral-specific protein by the CRISPR/Cas9 system is minimal in off-target effects. Therefore, we believe that a pivotal role of IE1 in an attenuated neural progenitor proliferation in the developing cortex through its interfering with interaction between host DISC1 and PML proteins.

Ex vivo cell cultures are reductionist models that enable cost effective, precisely controlled experiments with fewer ethical concerns than in vivo conditions. This results in their extensive use in diverse studies, especially large-scale genetic and drug perturbation screens. Although it is commonly accepted that ex vivo models do not fully recapitulate in vivo conditions, the molecular effects of model systems on cells in homeostasis and on cells undergoing drug or genetic perturbations are poorly understood. Using a CRISPR knockout (KO) screen with transcriptome read-out (Perturb-seq) of hematopoietic progenitor cells cultured ex vivo and grown in vivo , we analyzed the effects of ex vivo culture on unperturbed and perturbed cells. Unperturbed cells cultured ex vivo generally showed reduced basal interferon signatures and increased growth and metabolism signatures. These differences in unperturbed cells translated to differences between KO effects observed in vivo and ex vivo . We validated this impact of the model system on KO effects in an additional dataset of genetic KOs in bulk-sorted splenic immune cells, which confirmed our results. Interestingly, genes and molecular pathways with different KO effects were partly predicted by differences between unperturbed cells cultured in vivo and ex vivo . We therefore evaluated the performance of state-of-the-art models in predicting in vivo KO effects from ex vivo KO effects. This proved challenging, demonstrating the need for further developments. In summary, our study reveals differences in culture models, suggests approaches to improve culture models, and provides a test case for computational predictions of perturbation effects.

Gene overexpression can be used to study gene function and is more suitable to characterize essential and redundant genes than gene knockout. A forward genetic approach based on random gene overexpression, also known as activation tagging , was previously used to study gene function in angiosperms. However, such an approach has never been applied to algae. Here, we present enhancer-driven random gene overexpression (ERGO), a forward genetic screen that we utilized to study genes involved in carotenoid metabolism in the green alga Chlamydomonas reinhardtii . We generated a library of over 33,000 insertional mutants in a yellow-in-the-dark background strain, which is incapable of producing chlorophyll in the dark. Each mutant contained a randomly inserted enhancer, E hist cons , capable of activating gene expression in the C. reinhardtii nuclear genome. After visually screening the mutant colonies for a color change from yellow to orange, we isolated a mutant with increased carotenoid content and remarkable resistance to high-light stress. RNA-seq data analysis revealed substantial upregulation of a gene, that we name CMRP1 , encoding a putative F-box protein. CRISPR-mediated knockout of this gene resulted in decreased carotenoid concentrations, confirming that CMRP1 is involved in the regulation of carotenoid metabolism. Our study shows that a gene overexpression screen can be successfully adapted to C. reinhardtii and potentially other plants and algae, thereby expanding the palette of genetic tools to study gene function.

In this study we demonstrate a previously uncharacterised post-translational regulatory mechanism governing flavivirus replication through the deubiquitylating enzyme ubiquitin C-terminal hydrolase L3 (UCHL3). Using activity-based protein profiling, we identified UCHL3 as a key cellular factor activated during Zika virus (ZIKV) and dengue virus (DENV) infections. CRISPR-Cas9 knockout experiments demonstrated that UCHL3 deficiency impairs flavivirus replication and viral protein expression across multiple cellular models. The underlying molecular mechanism involves UCHL3-mediated stabilisation of subgenomic flaviviral RNA (sfRNA)-containing biomolecular condensates. Through biotinylated sfRNA-interactome capture assays, we show that UCHL3 physically interacts with sfRNA-containing ribonucleoprotein complexes alongside G3BP1. Importantly, UCHL3 depletion triggers inappropriate RNase L activation, leading to sfRNA relocalisation from protective P-bodies to degradative compartments, such as RNase L-induced bodies (RLBs) as reported previously, resulting in viral RNA decay. Our rescue experiments confirmed that RNase L knockdown restores viral replication in UCHL3-deficient cells. This pro-viral effect of UCHL3 operates through interferon-independent mechanisms, as demonstrated by persistent replication defects even upon exogenous interferon treatment. This work therefore identifies UCHL3 as a molecular switch controlling the balance between pro-viral and antiviral RNA condensates, representing a promising host dependency factor for broad-spectrum flavivirus intervention strategies.

ABSTRACT During organogenesis, precise pre-mRNA splicing is essential to assemble tissue architecture. Many developmentally essential exons bear weak 5′ splice sites (5′SS) yet are spliced with high precision, implying unknown yet active splicing fidelity mechanisms. By combining transcriptome and alternative splicing profiling with temporal eCLIP mapping of RNA interactions across development, we identify the RNA-binding protein QKI as an essential direct regulator of splicing fidelity in key cardiac transcripts. Although QKI is dispensable for cardiac specification, its loss disrupts sarcomere assembly despite intact expression of sarcomere mRNAs through exon skipping and nuclear retention of mis-spliced RNAs. QKI-dependent exons in essential cardiac genes have weak 5′SS and frequently show poor complementarity with U6 snRNA. We show that QKI directly interacts with U6 snRNA using an overlapping interface to its traditional intronic binding activity, securing U4/U6·U5 tri-snRNP to ensure splicing fidelity. Thus, QKI exemplifies how context-aware RBPs enforce splicing fidelity at structurally vulnerable splice sites during organogenesis.

ABSTRACT Lipid droplets (LDs) are emerging as critical regulators of cellular metabolism and inflammation, with their accumulation in microglia linked to aging and neurodegeneration. Perilipin 2 (Plin2) is a ubiquitously expressed LD-associated protein that stabilizes lipid stores, and in peripheral tissues its upregulation promotes lipid retention, inflammation, and metabolic dysfunction. However, the role of Plin2 in brain-resident microglia remains undefined. Here, we used CRISPR-engineered Plin2 knockout (KO) BV2 microglia to investigate the contribution of Plin2 to lipid accumulation, bioenergetics, and immune function. Compared to wild-type (WT) cells, Plin2 KO microglia exhibited markedly reduced LD burden under both basal and oleic acid–loaded conditions. Functionally, this was associated with enhanced phagocytosis of zymosan particles, even after lipid loading, indicating improved clearance capacity in the absence of Plin2. Transcriptomic analyses revealed genotype-specific responses to amyloid-β (Aβ), particularly in pathways related to mitochondrial metabolism. Seahorse assays confirmed that Plin2 KO cells adopt a distinct bioenergetic profile, with reduced basal respiration and glycolysis but preserved mitochondrial capacity, increased spare respiratory reserve, and a blunted glycolytic response to Aβ. Together, these findings identify Plin2 as a regulator of microglial lipid storage and metabolic state, with its loss alleviating lipid accumulation, improving phagocytic function, and altering Aβ-induced metabolic reprogramming. Targeting Plin2 may therefore represent a potential strategy to modulate microglial metabolism and function in aging and neurodegeneration.