Biology subjects

Cook, M.

Publications and source records attributed to Cook, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Intranasal adenovirus type 5 influenza vaccination enhances milk antibody responses and passive transfer to neonatal ferrets

Newborns and infants are particularly vulnerable to influenza, largely due to the immaturity of their immune systems. As such, maternal immunization is a valuable strategy to enhance influenza-neutralizing antibodies in both blood and breast milk, ensuring optimal passive immunity transfer to the infant. In our pregnant and lactating ferret maternal-neonatal model, we evaluated antibody responses to an adenovirus type 5-vectored H1N1 hemagglutinin vaccine delivered enterically, intranasally, or intramuscularly. While all three routes elicited a robust antibody response compared to saline-treated controls, intranasal vaccination significantly increased influenza-specific antibodies in dam serum, upper respiratory tract secretions, and milk, and subsequent transfer to suckling kits. Our results suggest that intranasal immunization was the most effective route for inducing functional influenza-specific antibodies in both dam serum and milk, with efficient passive transfer to suckling kits. Leveraging mucosal immune induction may enhance maternal antibody responses, transfer to offspring, and downstream neonatal protection.

microbiology↗

bioRxiv2026

Nascent protein retention at polysomes reduces kinetic barriers to self-assembly

Living proteomes are necessarily far from equilibrium. It is paradoxical, then, that reducing the translation of new proteins -- which should promote equilibration -- instead prolongs life. We investigated the impact of translational flux to nucleation barriers that preserve the solubility of proteins destined to form amyloids or other assemblies. By manipulating translation initiation rates directly or indirectly, across yeast and human cells, and across a variety of supersaturable proteins, we find that accelerating translation initiation broadly accelerates nucleation irrespective of their global concentrations. We showed that this effect was confined to polysomes and was enhanced by N-terminal placement or other features that retained the nascent aggregating domain at polysomes. Finally, we show that intrinsically disordered regions with high tendencies to self-associate are specifically positioned to do so co-translationally, providing evidence that cotranslational nucleation has shaped proteome evolution.

cell biology↗

bioRxiv2026

Conjugation-based genome engineering enables rapid prototyping and bioproduction in non-model bacteria

Non-model bacteria offer unique metabolic capabilities for sustainable bioproduction, yet their limited genetic accessibility hinders systematic strain development. Here we present conjugation-based serine recombinase-assisted genome engineering (cSAGE), a portable platform for sequential, site-specific genomic integration in transformation-resistant bacteria. Using Rhodobacter sphaeroides as a testbed, we show that genome integration fails by electroporation and is not rescued by disruption of three candidate restriction endonucleases. Conjugative delivery of the same integration vectors recovers genomic integrants at frequencies of approximately 10-4 per recipient cell, an improvement of at least five orders of magnitude over electroporation. We demonstrate site-specific genomic integration across eight bacterial hosts spanning four classes and two phyla, as well as three sequential payload integrations using a standardized, non-replicating plasmid toolkit. We then use cSAGE to install the same bioproduction pathway in two Rhodopseudomonas palustris strains: the reference strain CGA009 and the environmental isolate P4, for which genetic engineering has not previously been reported. Under anoxygenic photosynthetic growth conditions, engineered P4 produces p -vinylphenol from p -coumarate, whereas CGA009 engineered with the same construct, does not. By enabling standardized genome engineering and cross-host evaluation of bioproduction pathways, cSAGE provides a general framework for non-model strain prototyping and biotransformation discovery.

synthetic biology↗

bioRxiv2026

A rare human TNFAIP3 variant reveals how A20 abundance is regulated by TAX1BP1

Variants in TNFAIP3 (encoding A20) are among the most consistent non-MHC genetic associations with human autoimmune disease. Moreover, TNFAIP3 haploinsufficiency confers an autosomal dominant autoinflammatory and autoimmune disease. Whilst these findings strongly suggest that quantitative changes in A20 predispose to pathology, there is currently no evidence that post-transcriptional modifications regulate A20 abundance. We used human reverse genetics approach to investigate this question. From a cohort of patients with complex immune diseases, we identified an ultrarare hypomorphic TNFAIP3 variant (A20S254R) that is both hypomorphic and prone to phosphorylation. One of five carriers of this variant was distinguished by autoimmunity and an NF-kB gain-of-function transcriptional signature. A search for modifiers identified a variant in TAX1BP1 (p.Leu207Ile). We discovered that TAX1BP1 normally retrains A20 phosphorylation. Furthermore, TAX1BP1 preferentially binds phospho-A20, which explains the enhanced interaction between TAX1BP1L207I and A20S254R. A20 phosphorylation regulates its abundance, not by MALT1-mediated degradation, but probably via autophagy. Thus, while A20 phosphorylation has been implicated in A20 protease activity, an epistatic interaction between rare human genetic variants reveals how phosphorylation also regulates A20 abundance.

immunology↗

bioRxiv2025

Sexual dimorphism in the complete connectome of the Drosophila male central nervous system

Sex differences in behaviour exist across all animals, typically under strong genetic regulation. In Drosophila, fruitless/doublesex transcription factors can identify dimorphic neurons but their organisation into functional circuits remains unclear. We present the connectome of the entire Drosophila male central nervous system. This contains 166,691 neurons spanning the brain and nerve cord, fully proofread and annotated including fruitless/doublesex expression and 11,691 types. We provide the first comprehensive comparison between male and female brain connectomes to synaptic resolution, finding 7,205 isomorphic, 114 dimorphic, 262 male-specific and 69 female-specific types. This resource enables analysis of full sensory-to-motor circuits underlying complex behaviours and the impact of dimorphic elements. Sex-specific/dimorphic neurons are concentrated in higher brain centres while the sensory and motor periphery are largely isomorphic. Within higher centres, male-specific connections are organised into hotspots defined by male-specific neurons or arbours. Numerous circuit switches reroute sensory information to form antagonistic circuits controlling opposing behaviours.

neuroscience↗

bioRxiv2025

Dissecting the unique self-assembly landscape of the HIV-2 capsid protein

Human immunodeficiency virus type 2 (HIV-2) is a lentivirus closely related to HIV-1 but exhibits distinct molecular and clinical features that influence viral infectivity and efficacy of antiretroviral therapy. The HIV capsid is a critical structural component with multifaceted roles during infection and mediates some of the observed divergence between HIV-1 and HIV-2. Unlike HIV-1, study of the HIV-2 capsid is limited and standard protocols for the in vitro assembly of HIV-1 capsid protein (CA) lattice structures have not been successfully translated to the HIV-2 context. This work identifies effective approaches for the assembly of the HIV-2 CA lattice and leverages this to biochemically characterize HIV-2 CA assemblies and mutant phenotypes. Our findings elaborate on the sensitivity of HIV-2 CA to chemical conditions and reveal that it assembles into a more varied spectrum of particle morphologies compared to HIV-1. Utilizing these assemblies, we tested the hypothesis that HIV-1 and HIV-2 employ divergent mechanisms to stabilize CA oligomer forms and investigate the effects of non-conserved substitutions at the CA inter-protomer interfaces. This work advances our understanding of the key biochemical determinants of HIV-2 CA assembly that are distinct from HIV-1 and may contribute to their divergent virological properties.

biochemistry↗

bioRxiv2025

prdm1a drives a fate switch between hair cells of different mechanosensory organs

Vertebrate mechanosensory hair cells (HCs) in the ear detect sound and gravitational forces. Additionally, fish have homologous lateral line HCs in the skin that detect water vibrations for orientation and predator avoidance. HCs in fish and other non-mammalian vertebrates regenerate to restore function after damage, but mammalian HCs lack this ability, causing deafness and vestibular defects. Experimental attempts at regeneration in mice result in incomplete differentiation of immature HCs. Despite differences in regeneration, the gene regulatory networks (GRNs) driving HC maturation are highly similar across vertebrates. Here, we show that the transcription factor prdm1a plays a key role in the HC fate GRN in the zebrafish lateral line. Mutating prdm1a respecifies lateral line HCs into ear HCs, altering morphology and transcriptome. Understanding how transcription factors control diverse HC fates in zebrafish is crucial for understanding the yet unsolved regeneration of diverse HCs in mammalian ears to restore hearing and balance.

developmental biology↗

bioRxiv2025

A Saccharomyces boulardii synthetic biotic platform for delivery of therapeutic nanobodies to ameliorate gastrointestinal inflammation

Protein-based pharmaceuticals, such as engineered antibodies, form a major drug class of steadily increasing market share. However, these biologic medicines are costly to manufacture, are subject to strict supply chain and storage constraints and often require invasive administration routes. Engineered microbes that secrete bioactive products directly within the microbiome milieu may mitigate these challenges. Here, we describe a cell microfactory platform based on the probiotic yeast Saccharomyces boulardii for the production of nanobody biologics in the gastrointestinal (GI) tract. High-level secretion of nanobodies by S. boulardii was achieved by optimizing promoters, secretion signals, and antibody formats. In mice, oral gavage of S. boulardii allowed efficient and transient colonization of the colonic compartment and in situ production of a therapeutic nanobody directed against tumor necrosis factor (TNF). In a mouse model of chemical-induced colitis, GI-delivery of anti-mTNF nanobody via live S. boulardii improved both survival and disease severity without causing overt perturbation of microbiome composition. These results position S. boulardii as a synthetic biotic platform for the in situ production and delivery of protein-based therapeutics to the GI tract.

synthetic biology↗

bioRxiv2025

Mouse Bio-behavioral Phenotyping Using a Digital Homecage Framework for Long-timescale, High-resolution, and Multi-factor Data Collection and Analytics

MOTIVATION Long-term monitoring of behavioral and physiological processes is critical for understanding complex brain-based phenomena and disorders that develop over extended periods, such as chronic stress, circadian disorders, and metabolic conditions. While digital phenotyping is available in humans using smart devices, there remains a deficit in rodent models. To address this lack of long-term rodent phenotyping, we introduce the "Digital Homecage" (DHC) system. Our system uses accessible components and is designed for seamless integration with brain recording technologies. The Digital Homecage (DHC) allows uninterrupted, long-timescale recording of more than 20 behavioral metrics in single-housed mice, captured at sub-second resolution via video, operant interactions, and wheel-running data. This report demonstrates the DHCs capacity to enable continuous, automated tracking of behaviors like actigraphy, sleep, grooming, and food choice options over weeks, thereby opening up new avenues for longitudinal analyses of chronic conditions. Data collected reveal circadian patterns in multiple spontaneous behaviors, aligning with known nocturnal tendencies. The systems potential to facilitate groundbreaking observations on the long-term behavioral correlates of various neuropsychiatric syndromes is aided by open-source software and relatively low cost. The DHC sets the stage for community-driven innovation, potentially transforming our approach to studying complex traits of brain function and behavior in laboratory settings.

animal behavior and cognition↗

bioRxiv2025

Forecasting Seizure Duration from Neural Connectivity Patterns in a Neural Mass Model

Understanding seizure duration is crucial for predicting seizure evolution and developing targeted therapeutic strategies. This study investigates how changes in neural connectivity patterns estimated in a Neural Mass Model (NMM) relate to seizure duration and whether these parameters can be used to forecast seizure duration. We applied a biologically plausible NMM to intracranial EEG recordings from a Tetanus Toxin rat model of epilepsy. Model parameters, representing synaptic connectivity strengths between excitatory and inhibitory neuronal populations across different cortical layers, were estimated using the Unscented Kalman Filter. A Random Forest classifier was trained to predict seizure duration (short vs. long) based on these connectivity parameters. We assessed the classification performance using the receiver operating characteristic (ROC) curve and area under the curve (AUC). Our findings reveal that stronger excitatory-to-excitatory connectivity before seizure onset was associated with longer seizure durations. In contrast, inhibitory-to-inhibitory and excitatory-to-inhibitory connectivity strengths decreased before long seizures. The Random Forest classifier achieved an AUC of 0.91 when using both preictal (1 minute before seizure onset) and early ictal (first 5 seconds of the seizures) parameters, demonstrating excellent predictive power. Classification using only preictal parameters resulted in an AUC of 0.70. Our study highlights the critical role of preictal neural connectivity in determining seizure duration. The findings suggest that network excitability and inhibitory control before seizure onset influence how long seizures persist. These insights provide a foundation for personalized, time-based therapeutic interventions and seizure management strategies, ultimately improving the quality of life of patients with epilepsy.

pathology↗

bioRxiv2025

NitrOFF: An engineered fluorescent biosensor to illuminate nitrate transport in living cells

The duality of nitrate is nowhere best exemplified than in human physiology - a detrimental pollutant but also a protective nutrient and signaling ion - particularly as connected to reactive nitrogen oxides. Aside from limited insights into nitrate uptake and storage, foundational nitrate biology has lagged. Genetically encoded fluorescent biosensors can address this gap with real-time imaging. However, imaging technologies for mammalian cell applications remain rare. Here, we set out to design and engineer a two-domain chimera fusing the split green fluorescent protein EGFP and the nitrate recognition domain NreA from Staphylococcus carnosus. Over 7 rounds of directed evolution, 15 mutations were accumulated resulting in the functional biosensor NitrOFF. NitrOFF has a high degree of allosteric communication between the domains reflected in a turn-off intensiometric response (Kd {approx} 9 {micro}M). This was further reinforced by X-ray crystal structures of apo and nitrate bound NitrOFF, which revealed that the two domains undergo a large-scale conformational rearrangement that changes the relative positioning of the EGFP and NreA domains by 68.4{degrees}. Such a dramatic difference was triggered by the formation of a long helix at the engineered linker connecting the two domains, peeling the {beta}7 strand off the EGFP and thus extinguishing the fluorescence upon nitrate binding. Finally, as a proof-of-concept, we highlighted the utility of this first-generation biosensor to monitor exogenous nitrate uptake and modulation in a human embryonic kidney (HEK) 293 cell line. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/644677v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@1ba853eorg.highwire.dtl.DTLVardef@81bed9org.highwire.dtl.DTLVardef@18a313org.highwire.dtl.DTLVardef@17a5e80_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2024

Cycles in Seizure Duration and Their Underlying Dynamics in the Tetanus Toxin Rat Model

Seizure duration, a characteristic of epilepsy that is understudied in relation in its relationship with rhythmic cycles, provides critical insights into the severity and temporal dynamics of seizures. This study investigates the rhythmic patterns of seizure duration in the Tetanus Toxin (TT) rat model of epilepsy, which is a well-established platform enabling long-term, stable recordings and observation of seizure emergence and remission. Our analysis shows significant cyclical patterns in seizure durations, with periods ranging from 4 to 8 days across rats. The synchronization index and circular-linear correlations revealed phase-locked relationships between seizure durations and cycles, suggesting non-random, predictable temporal dynamics. Further analyses examined the relationship between seizure durations, inter-seizure intervals, and dominant EEG power. The relationship between inter-seizure intervals and seizure duration was modest, suggesting little to no temporal dependency. In contrast, seizure duration showed stronger associations with EEG power in dominant frequency bands, potentially reflecting fluctuations in neural excitability. The findings highlight that seizure durations exhibit predictable rhythms, which could transform seizure prediction and enable time-based intervention strategies, ultimately improving epilepsy management and patient outcomes. These insights lay the groundwork for personalized, rhythm-aware therapeutic approaches.

neuroscience↗

bioRxiv2024

Carbon-conserving Bioproduction of Malate in an E. coli-based Cell-Free System

Formate, a biologically accessible form of CO2, has attracted interest as a renewable feedstock for bioproduction. However, approaches are needed to investigate efficient routes for biological formate assimilation due to its toxicity and limited utilization by microorganisms. Cell-free systems hold promise due to their potential for efficient use of carbon and energy sources and compatibility with diverse feedstocks. However, bioproduction using purified cell-free systems is limited by costly enzyme purification, whereas lysate-based systems must overcome loss of flux to background reactions in the cell extract. Here, we engineer an E. coli-based system for an eight-enzyme pathway from DNA and incorporate strategies to regenerate cofactors and minimize loss of flux through background reactions. We produce the industrial di-acid malate from glycine, bicarbonate, and formate by engineering the carbon-conserving reductive TCA and formate assimilation pathways. We show that in situ regeneration of NADH drives metabolic flux towards malate, improving titer by 15-fold. Background reactions can also be reduced 6-fold by diluting the lysate following expression and introducing chemical inhibitors of competing reactions. Together, these results establish a carbon-conserving, lysate-based cell-free platform for malate production, producing 64 M malate after 8 hours. This system conserves 43% of carbon otherwise lost as CO2 and incorporates 0.13 mol CO2 equivalents/mol glycine fed. Finally, techno-economic analysis of cell-free malate production from formate revealed that the high cost of lysate is a key challenge to the economic feasibility of the process, even assuming efficient cofactor recycling. This work demonstrates the capabilities of cell-free expression systems for both the prototyping of carbon-conserving pathways and the sustainable bioproduction of platform chemicals. HighlightsO_LISuccessfully engineered the carbon-conserving reductive TCA and formate assimilation pathways in a lysate-based cell-free system for production of the C4 industrial di-acid malate from C1 and C2 feedstocks. C_LIO_LIAchieved a 6-fold reduction in competition from the endogenous cell-free metabolism by blocking TCA activity using small-molecule inhibitors and lysate dilution. C_LIO_LIIncreased accumulation of malate by 15-fold in a single-step reaction using cell-free expression of an enzymatic cofactor regeneration system. C_LIO_LITechno-economic analysis identified routes for economically feasible production of malate from renewable feedstocks in a cell-free system by improving conversion efficiency and reducing lysate cost. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=161 SRC="FIGDIR/small/623433v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@3c89adorg.highwire.dtl.DTLVardef@72d9b3org.highwire.dtl.DTLVardef@327e2eorg.highwire.dtl.DTLVardef@fa0964_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2024

Dynamic Multiday Seizure Cycles in a Tetanus Toxin Rat Model of Epilepsy: Evolving Rhythms and Implications for Prediction

Epilepsy is characterized by recurrent, unpredictable seizures that impose significant challenges in daily management and treatment. One emerging area of interest is the identification of seizure cycles, including multiday patterns, which may offer insights into seizure prediction and treatment optimization. This study investigated multiday seizure cycles in a Tetanus Toxin (TT) rat model of epilepsy. Six TT-injected rats were observed over a 40-day period, with continuous EEG monitoring to record seizure events. Wavelet transform analysis revealed significant multiday cycles in seizure occurrences, with periods ranging from 4 to 7 days across different rats. Synchronization Index (SI) analysis demonstrated variable phase locking, with some rats showing strong synchronization of seizures with specific phases of the cycle. Importantly, the study revealed that these seizure cycles are dynamic and evolve over time, with some rats exhibiting shifts in cycle periods during the recording period. This suggests that the underlying neural mechanisms driving these cycles may change as the epileptic state progresses. The identification of stable and evolving multiday rhythms in seizure activity, independent of external factors, highlights a potential intrinsic biological basis for seizure timing. These findings offer promising avenues for improving seizure forecasting and designing personalized, timing-based therapeutic interventions in epilepsy. Future research should explore the underlying neural mechanisms and clinical applications of multiday seizure cycles.

neuroscience↗

bioRxiv2024

Structural insights into HIV-2 CA lattice formation and FG-pocket binding revealed by single particle cryo-EM.

One of the most striking features of HIV is the capsid; a fullerene cone comprised of the pleomorphic capsid protein (CA) which shields the viral genome from cellular defense mechanisms and recruits cellular cofactors to the virus. Despite significant advances in understanding the mechanisms of HIV-1 CA assembly and host factor interaction, HIV-2 CA remains poorly understood. By templating the assembly of HIV-2 CA on functionalized liposomes, we were able to determine high resolution structures of the HIV-2 CA lattice, including both CA hexamers and pentamers, alone and in complexes with peptides of host phenylalanine-glycine (FG)-motif proteins Nup153 and CPSF6. While the overall fold and mode of binding the FG-peptides are conserved with HIV-1, this study reveals distinctive structural features that define the HIV-2 CA lattice, potential differences in interactions with other host factors such as CypA, and divergence in the mechanism of formation of hexameric and pentameric CA assemblies. This study extends our understanding of HIV capsids and highlights an approach with significant potential to facilitate the study of lentiviral capsid biology.

biochemistry↗

bioRxiv2024

A balanced CAR-T cell metabolism driven by CD28 or 4-1BB co-stimulation correlates with clinical success in lymphoma patients

Chimeric antigen receptor (CAR) T cell therapy has led to unprecedented success in treating relapsed/refractory diffuse large B cell lymphoma (DLBCL). The most common CAR-T cell products currently in the clinic for DLBCL differ in their co-stimulation moiety, containing either CD28 or 4-1BB, which initiate distinct signalling pathways. Previous work has highlighted the importance of T cell metabolism in fuelling anti-cancer function. We have studied the metabolic characteristics induced by CD28 versus 4-1BB co-stimulation in patient CAR-T cells ex vivo. Our data show that in patients, CD28 and 4-1BB drive significantly divergent metabolic profiles. CD28 signalling endows T cells with a preferentially glycolytic metabolism supporting an effector phenotype and increased expansion capacity, while 4-1BB co-stimulation preserves mitochondrial fitness and results in memory-like differentiation. Despite this divergent programming, T cells in patients responding successfully to therapy were metabolically similar, irrespective of co-stimulator, suggesting that efficient fuelling of CAR-T cells in lymphoma requires a balanced metabolism. In contrast, CAR-T cells in non-responders were pushed to their metabolic extremes. One sentence summaryCD28 and 4-1BB signalling drive divergent metabolic profiles in patient CAR-T cells, however patients that respond to therapy have CAR-T cells that maintain metabolic balance.

immunology↗

bioRxiv2024

Encoding seizures with partial synchronization: A spiking neural network for biosignal monitoring on a mixed signal neuromorphic processor

Long-term monitoring of biomedical signals is essential for the modern clinical management of neurological conditions such as epilepsy. However, developing wearable systems that are able to monitor, analyze, and detect epileptic seizures with long-lasting operation times using current technologies is still an open challenge. Brain-inspired spiking neural networks (SNNs) represent a promising signal processing and computing framework as they can be deployed on ultra-low power neuromorphic computing systems, for this purpose. Here, we introduce a novel SNN architecture, co-designed and validated on a mixed-signal neuromorphic chip, that shows potential for always-on monitoring of epileptic activity. We demonstrate how the hardware implementation of this SNN captures the phenomenon of partial synchronization within neural activity during seizure periods. We assess the network using a full-custom asynchronous mixed-signal neuromorphic platform, processing analog signals in real-time from an Electroencephalographic (EEG) seizure dataset. The neuromorphic chip comprises an analog front-end (AFE) signal conditioning stage and an asynchronous delta modulation (ADM) circuit directly integrated on the same die, which can produce the stream of spikes as input to the SNN, directly from the analog EEG signals. We show a linear classifier in a post processing stage that is sufficient to reliably classify and detect seizures, from the local features extracted by the SNN, indicating the feasibility of full on-chip seizure monitoring in the future. This research marks a significant advancement toward developing embedded intelligent "wear and forget" units for resource-constrained environments. These units could autonomously detect and log relevant EEG events of interest in out-of-hospital environments, offering new possibilities for patient care and management of neurological disorders.

neuroscience↗

bioRxiv2024

Connectome-driven neural inventory of a complete visual system

Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial features requires a large and diverse network of neurons, such that in animals as distant as flies and humans, visual regions comprise half the brains volume. These visual brain regions often reveal remarkable structure-function relationships, with neurons organized along spatial maps with shapes that directly relate to their roles in visual processing. To unravel the stunning diversity of a complex visual system, a careful mapping of the neural architecture matched to tools for targeted exploration of that circuitry is essential. Here, we report a new connectome of the right optic lobe from a male Drosophila central nervous system FIB-SEM volume and a comprehensive inventory of the flys visual neurons. We developed a computational framework to quantify the anatomy of visual neurons, establishing a basis for interpreting how their shapes relate to spatial vision. By integrating this analysis with connectivity information, neurotransmitter identity, and expert curation, we classified the [~]53,000 neurons into 727 types, about half of which are systematically described and named for the first time. Finally, we share an extensive collection of split-GAL4 lines matched to our neuron type catalog. Together, this comprehensive set of tools and data unlock new possibilities for systematic investigations of vision in Drosophila, a foundation for a deeper understanding of sensory processing.

neuroscience↗