eLife: latest articles

ImPaqT, a Golden Gate-based immunological toolkit for zebrafish transgenesis

cronan@mpiib-berlin.mpg.de (Christiane Dimmler) — Wed, 29 Jul 2026 00:00:00 +0000

Transgenic animals play an essential role in many aspects of zebrafish research. Here, we have developed ImPaqT (Immunological Toolkit for PaqCI-based Golden Gate Assembly of Tol2 Transgenes), a new Tol2-based transgenesis system that utilizes Golden Gate assembly to facilitate the production of transgenic zebrafish lines. This system allows for rapid assembly of multiple fragments into a single transgene, facile swapping of individual sequences to generate new transgenes, and an easy cloning workflow to incorporate new genetic elements into the existing kit. Within this framework, we have generated reagents to enable gene expression within different cell types, an array of best-in-class fluorescent proteins to visualize cell populations and transgenes, as well as tools to simplify genetic manipulation, purification, and ablation of targeted cells. Unlike many recombination-based systems, our approach is also expandable, allowing the incorporation of complex designs such as multifragment promoters within the established modular framework of ImPaqT. We have demonstrated the function of our system by generating various transgenic immune reporter lines. While we focused on the immune system as an emerging area of study within zebrafish research, ImPaqT can be broadly adapted to the construction of almost any zebrafish transgene, offering new tools for the zebrafish community.

CellCover defines marker gene panels capturing developmental progression in neocortical neural stem cell identity

ccolantu@jhmi.edu (An Wang) — Tue, 28 Jul 2026 00:00:00 +0000

Defining cell classes is central to the analysis of growing single-cell RNA sequencing (scRNA-seq) atlases. Marker genes are most often identified by differential expression (DE) methods that assess genes one at a time, ignoring the redundancy and complementarity revealed when genes are considered jointly. Working with binarized expression data, we instead seek discriminating panels of genes that together are specific to a cell type, framing marker-panel selection as a variant of the minimal set-covering problem in combinatorial optimization. This formulation efficiently searches the vast space of candidate panels, exploits the large cell numbers typical of scRNA-seq, and is robust to zero-inflation. Using blood and brain data, we show that our method, CellCover, reduces gene redundancy and captures cell-class-specific signals distinct from those found by DE. Transfer-learning experiments across mouse, primate, and human data demonstrate that CellCover identifies conserved cell classes in neocortical neurogenesis and tracks developmental progression in progenitors and neurons. Examining outer radial glia markers across mammals, we find that transcriptomic elements of this key cell type likely arose in rodent gliogenic precursors before the full program emerged in the primate lineage.

Magnesium isoglycyrrhizinate alleviates alcohol-associated liver disease through targeting HSD11B1

liyan181@smu.edu.cn (Hao Wang) — Tue, 28 Jul 2026 00:00:00 +0000

While magnesium isoglycyrrhizinate (MgIG) is a clinically approved therapy for alcohol-associated liver disease (ALD), its precise molecular targets and mechanisms remain uncharacterized. This study aimed to define MgIG’s hepatoprotective actions in chronic-binge ALD mouse models and ethanol/palmitic acid-exposed AML-12 hepatocytes. Through an integrated strategy encompassing RNA sequencing, molecular docking, and microscale thermophoresis, we discovered that MgIG directly binds to hydroxysteroid 11-beta dehydrogenase 1 (HSD11B1) at residue 187, a finding corroborated by molecular dynamics simulations. In vivo, MgIG markedly attenuated alcohol-induced liver injury, evidenced by ameliorated histological damage, reduced hepatic steatosis, and normalized liver-to-body weight ratios. In vitro, it effectively reduced lipid accumulation, inflammation, and apoptosis. Mechanistically, RNA sequencing identified isopentenyl diphosphate delta isomerase 1 (IDI1) as a key downstream effector. Hepatocyte-specific genetic manipulations confirmed that MgIG modulates the SREBP2–IDI1 axis, thereby suppressing lipogenesis, inflammatory responses, and apoptotic pathways. We reveal HSD11B1 as a novel direct molecular target of MgIG and elucidate its therapeutic mechanism through the HSD11B1–SREBP2–IDI1 signaling axis, which profoundly impacts ALD pathogenesis. These findings not only validate MgIG’s clinical utility but also highlight a promising new therapeutic target for ALD.

Correction: The neuropeptide sulfakinin is a peripheral regulator of insect behavioral switch between mating and foraging

Tue, 28 Jul 2026 00:00:00 +0000

Excitatory cholecystokinin neurons in the CA3 area regulate the navigation learning and neuroplasticity

fwhuang2@stanford.edu (Abdul Baset) — Tue, 28 Jul 2026 00:00:00 +0000

Hippocampus, a key hub of neural circuits for spatial learning and memory, has attracted tremendous studies. Neuronal information processing in the hippocampus can be regulated by many types of neuropeptides. Cholecystokinin (Cck), the most abundant neuropeptide in the central nervous system that is involved in modulating neuronal functions, such as cognition, memory, and neuroplasticity, is widely expressed in the hippocampus. However, whether local excitatory Cck neurons modulate hippocampal function is still unclear. In this study, we showed that CA1 pyramidal neurons receive projections from excitatory Cck neurons in area CA3 (CA3^Cck neurons) in adult mice. Subsequently, activation of the CA1-projecting CA3^Cck neurons triggers the release of Cck. Then, we found that the activity of CA3^Cck-CA1 neurons supports the hippocampal-dependent tasks. Furthermore, inhibition of CA3^Cck-CA1 projections or knockdown of CA3^Cck gene expression markedly impaired the behavioral tasks and neuroplasticity. Taken together, these results may add to a better understanding of how neuromodulators regulate the neural functions in the central nervous system.

Behavioral signatures of post-decisional attention in preferential choice

ariel.zylberberg@gmail.com (Ariel Zylberberg) — Tue, 28 Jul 2026 00:00:00 +0000

Attention plays a key role in decision-making by directing limited cognitive resources to relevant information. It has been proposed that attention also biases the decision process, due to a multiplicative interaction between attention and subjective value (e.g., Krajbich et al., 2010). We tested two predictions of models that posit a causal multiplicative effect of attention on decision formation: (i) the last fixation should be more informative about the choice when the overall value of the alternatives is high, and (ii) more attention should be directed to the chosen option when choices conflict with stated preferences than when they do not. Reanalyzing several datasets from a food-choice task, we found no evidence supporting these predictions. An alternative model where attention reflects choices after the decision has completed explains key observations, including the last-fixation bias, the gaze-cascade effect, and the effect of the overall value of the alternatives on response times. However, this model does not fully account for the association between dwell time and choice. We conclude that gaze behavior prior to the choice report likely reflects both decisional and post-decisional processes.

Reprogramming of host energy metabolism mediated by the TNF-iNOS-HIF-1α axis plays a key role in host resistance to Plasmodium infection

kelycatarine@gmail.com (Diego Luis Costa) — Mon, 27 Jul 2026 00:00:00 +0000

TNF has a dual effect in Plasmodium infection, bolstering the host's immune defense while also inducing sickness behavior. Here, we confirm that TNF signaling hampers physical activity, food intake, and energy expenditure while enhancing glucose uptake by the liver and spleen, as well as controlling parasitemia in Plasmodium chabaudi (Pc)-infected mice. We also report that TNF is required for expression of inducible nitric oxide synthase (iNOS), stabilization of hypoxia-inducible factor 1α (HIF-1α), expression of glucose transporter GLUT1, and enhanced glycolysis in monocytic cells from Pc-infected mice. Importantly, Pc-infected Nos2^-/-, TNFR1 cKO, and HIF-1a cKO mice show impaired release of TNF and glycolysis in monocytes, along with increased parasitemia and disease tolerance. Altogether, our results indicate that TNF-iNOS-HIF-1α-induced glycolysis in monocytes plays a critical role in host defense and sickness behavior in Pc-infected mice.

Correction: Differential regulation of hair cell actin cytoskeleton mediated by SRF and MRTFB

Mon, 27 Jul 2026 00:00:00 +0000

Active dendrites enable robust spiking computations despite timing jitter

tsjb2@cam.ac.uk (Michael E Rule) — Mon, 27 Jul 2026 00:00:00 +0000

Dendritic action potentials exhibit long plateaus of many tens of milliseconds, outliving axonal spikes by an order of magnitude. The computational role of these slow events seems at odds with the need to rapidly integrate and relay information throughout large nervous systems. We propose that the timescale of dendritic potentials allows for reliable integration of asynchronous inputs. We develop a physiologically grounded model in which the extended duration of dendritic spikes equips each dendrite with a resettable memory of incoming signals. This provides a tractable model for capturing dendritic nonlinearities observed in experiments and in more complex, detailed models. Using this model, we show that long-lived, nonlinear dendritic plateau potentials allow neurons to spike reliably when confronted with asynchronous input spikes. We demonstrate this model supports non-trivial computations in a network solving an association/discrimination task using sparse spiking that is subject to timing jitter. This demonstrates a computational role for the specific timecourse of dendritic potentials in situations where decisions occur quickly, reliably, and with a low number of spikes. Our results provide empirically testable hypotheses for the role of dendritic action potentials in cortical function, as well as a potential bio-inspired means of realising neuromorphic spiking computations in analog hardware.

An abundant merozoite surface protein of Plasmodium falciparum modulates susceptibility to inhibitory antibodies

danny.wilson@adelaide.edu.au (Danny W Wilson) — Mon, 27 Jul 2026 00:00:00 +0000

Malaria merozoite surface proteins (MSPs) are thought to have important roles in red blood cell (RBC) invasion and their exposure on the parasite surface makes them attractive vaccine candidates. However, their role in invasion has not been directly demonstrated and their biological functions remain unknown. One of the most abundant merozoite surface proteins is PfMSP2, a likely ancestral protein that has been maintained in the Plasmodium falciparum lineage and is a focus of vaccine development. Using CRISPR-Cas9 gene editing, we removed PfMSP2 from two different P. falciparum lines with no impact on parasite replication or phenotype in vitro, demonstrating that it is not essential for RBC invasion. Interestingly, loss of PfMSP2 led to increased inhibitory potency of antibodies targeting other merozoite proteins involved in invasion, particularly PfAMA1. In a solid-phase model, increasing concentrations of PfMSP2 protein reduced binding of different antibodies against PfAMA1 in a dose-dependent manner. These data suggest that PfMSP2 can modulate the susceptibility of merozoites to protective inhibitory antibodies. The results of this study change our understanding of the potential functions of PfMSP2 and establish a new concept in malaria where a surface protein can reduce the protective efficacy of antibodies targeting a different antigen. These findings have important implications for understanding malaria immunity and informing vaccine development.

Stable excitatory-inhibitory synapse balance despite dynamic turnover

richard.sando@vanderbilt.edu (Cassandra M Smith) — Mon, 27 Jul 2026 00:00:00 +0000

Diverse synaptic connections self-organize into neural circuits during brain development. A balance between excitatory and inhibitory synaptic function is required for information processing by these neural circuits. Despite the importance of this balance, the interplay between excitatory and inhibitory synaptic assembly during circuit establishment remains unclear due to a lack of means to monitor both processes simultaneously. Here, we develop imaging and analysis methods to visualize and track excitatory and inhibitory synapses. By applying these approaches, we find that despite continual dynamics, excitatory and inhibitory synaptic density remain at steady-state levels during synapse maturation. These results indicate balanced excitatory and inhibitory synapse assembly, despite continual synaptic turnover.

Sensory adaptation and pupil-linked arousal support flexible evidence accumulation during perceptual decision making

jigold@pennmedicine.upenn.edu (Joshua I Gold) — Mon, 27 Jul 2026 00:00:00 +0000

Effective decision making in dynamic environments requires flexible evidence accumulation. Although models often express this flexibility as a property of the accumulator, its implementation in the brain may involve adaptive mechanisms operating at other stages of the decision process. We examined two such mechanisms: (1) stimulus-specific sensory adaptation at the level of evidence encoding, and (2) arousal-related neuromodulation, which could, in principle, affect both evidence encoding and accumulation. We measured single-unit activity in the middle temporal (MT) area and pupil-linked arousal while monkeys performed a modified random-dot motion direction-discrimination task in which an adapting stimulus with varied temporal stability preceded a behaviorally relevant test stimulus. The monkeys’ decisions reflected adaptive evidence accumulation that depended on temporal-context stability and corresponded to context-dependent changes in both stimulus-specific sensory adaptation in MT and task-evoked pupil responses. However, adaptation and pupil adjustments were not related to each other. Together, these findings suggest that multiple mechanisms contribute to flexible, context-dependent evidence accumulation, including changes in sensory adaptation that shape evidence encoding and changes in arousal that may shape the accumulation process itself.

In-cell cryo-electron tomography reveals differential effects of type I and type II kinase inhibitors on LRRK2 filament formation and microtubule association

aleschziner@ucsd.edu (Andres E Leschziner) — Mon, 27 Jul 2026 00:00:00 +0000

Mutations in leucine-rich repeat kinase 2 (LRRK2) are a leading contributor to developing familial and idiopathic Parkinson’s disease (PD). Most PD-causing LRRK2 mutations increase the kinase activity, leading to increased phosphorylation of Rab GTPases, disrupting vesicular trafficking, cytoskeletal dynamics, and autophagy. Under homeostatic conditions, the bulk of WT and PD-mutant LRRK2 is found in the cellular cytosol. However, exogenously expressed LRRK2 can form microtubule-associated filaments that have been shown to affect molecular transport along microtubules in vitro. While the physiological relevance of microtubule binding has not been established yet, inhibitors being designed and tested as therapeutics have been shown to either promote or prevent filament formation of LRRK2. In this study, we examine the localization and resulting molecular organization of hyperactive LRRK2-I2020T, a common PD mutant, in HEK 293FT cells treated with type I (MLi-2) or type II (GZD-824) kinase inhibitors. Treatment with a type I kinase inhibitor results in extensive LRRK2-I2020T decoration around microtubules and microtubule bundling. Stabilization of LRRK2-I2020T filaments by type I inhibitor treatment allowed us to build a full-length closed-kinase model of LRRK2-I2020T in its cellular environment. Conversely, treatment with a type II inhibitor resulted in minimal microtubule decoration by LRRK2-I2020T compared to type I inhibitor-treated cells. This study provides a structural framework for understanding how type I and type II kinase inhibitors differentially modulate LRRK2 filament formation, demonstrating that type I inhibitor treatment promotes a distinct filament architecture, whereas such assemblies are not observed with type II inhibitors.

CROP2, a Retriever–PROPPIN complex mediating protein export from endosomes to the plasma membrane in human cells

andreas.mayer@unil.ch (Andreas Mayer) — Fri, 24 Jul 2026 00:00:00 +0000

Endosomes generate tubulo-vesicular carriers to redistribute proteins between plasma membrane, Golgi, and lysosomes. These transport routes employ distinct combinations of sorting nexins with complexes such as Retromer or Retriever. We now show that, while Retromer associates with the PROPPIN WIPI1 to form the previously described CROP complex, Retriever associates with WIPI2, forming CROP2. WIPI2 integrates into Retriever-dependent coat complexes since it interacts both with the Commander subunit CCDC93 and its cognate sorting nexin SNX17. CROP and CROP2 are exclusive in their physical associations and pathway selective. Whereas CROP2 is required for endosomal exit of Integrin β1, it does not affect CROP-dependent cargos such as EGFR or GLUT1. Vice versa, CROP is not required for Integrin β1 trafficking. WIPI1 and WIPI2 rely on similar molecular features. Their activity depends on the same FSSS motif to integrate into Retromer and Retriever complexes, respectively, and on an amphipathic membrane-inserting α-helix, which conveys membrane fission activity to PROPPINs. This suggests that Retromer and Retriever coats integrate distinct PROPPIN isoforms to promote fission of the respective endosomal carriers formed by them.

Functional muscle networks as biomarkers of post-stroke motor impairment and therapeutic responsiveness

david.oreilly166@gmail.com (Andrea Turolla) — Thu, 23 Jul 2026 00:00:00 +0000

Standardised assessment of post-stroke motor impairment and treatment responsiveness remains a major clinical challenge. In this study, we tackle this challenge by applying a novel muscle network analysis framework to human stroke survivors undergoing intensive upper-limb motor training (O’Reilly & Delis, 2024). Our approach revealed distinct patterns of redundant and synergistic muscle interactions, collectively reflecting the diverse biomechanical roles of flexor- and extensor-driven networks. From these patterns, we derived new biomarkers that stratified patients by gross motor impairment severity and therapeutic responsiveness, each associated with unique physiological signatures. Remarkably, we identified a shift from redundancy to synergy in muscle coordination as a hallmark of effective motor recovery—a transformation supported by a more precise quantification of impairment over conventional approaches. These findings offer an in-depth characterisation of post-stroke motor recovery and establish a robust, independent tool for evaluating rehabilitation efficacy. Future research should employ this framework to identify biomarkers of activities- and participation-related functional recovery.

Structural dynamics of IRE1 and its interaction with unfolded peptides

covino@fias.uni-frankfurt.de (Elena Spinetti) — Thu, 23 Jul 2026 00:00:00 +0000

The unfolded protein response (UPR) is a crucial signaling network that preserves endoplasmic reticulum (ER) homeostasis, impacting both health and disease. When ER stress occurs, often due to an accumulation of unfolded proteins in the ER lumen, the UPR initiates a broad cellular program to counteract cytotoxic effects. Inositol-requiring enzyme 1 (IRE1), a conserved ER-bound protein, is a key sensor of ER stress and activator of the UPR. While biochemical studies confirm IRE1’s role in recognizing unfolded polypeptides, high-resolution structures showing direct interactions remain elusive. Consequently, the precise structural mechanism by which IRE1 senses unfolded proteins is debated. In this study, we employed advanced molecular modeling and 137 µs of atomistic molecular dynamics simulations to clarify how IRE1 detects unfolded proteins. Our results demonstrate that IRE1’s luminal domain directly interacts with unfolded peptides and reveal how these interactions can stabilize higher-order oligomers. We provide a detailed molecular characterization of unfolded peptide binding, identifying two distinct binding pockets at the dimer’s center, separate from its central groove. Furthermore, we present high-resolution structures illustrating how BiP associates with IRE1’s oligomerization interface, thus preventing the formation of larger complexes. Our structural model reconciles seemingly contradictory experimental findings, offering a unified perspective on the diverse sensing models proposed. We elucidate the structural dynamics of unfolded protein sensing by IRE1, providing key insights into the initial activation of the UPR.

Large-scale synthetic data enable digital twins of human excitable cells

ceclancy@ucdavis.edu (Colleen E Clancy) — Thu, 23 Jul 2026 00:00:00 +0000

Individual variability shapes how diseases manifest, how patients respond to therapy and how rare phenotypes arise. Conventional experimental approaches obscure variation by averaging which limits mechanistic insight and predictive accuracy. We present a computational framework that builds digital twins of human-induced pluripotent stem cell-derived cardiomyocytes from a single optimized voltage clamp experiment. The framework depends on massive synthetic datasets comprising simulated cells that span broad ionic and electrophysiological ranges. These synthetic data make it possible to control parameters precisely, explore biological variability comprehensively, and train models beyond the limits of experimental data. A neural network trained on synthetic data then inferred biophysical parameters from experimental recordings from live cells, reproducing distinct electrophysiological features. Our study unites computational modeling, data simulation, and learning to enable scalable, precise, individualized cardiac electrophysiology modeling and can be readily extended to any electrically active cell type.

The population structure of invasive Lantana camara is shaped by its mating system

praveenprakash@ncbs.res.in (P Praveen) — Thu, 23 Jul 2026 00:00:00 +0000

Over the last century, invasive species have emerged as an important driver of global biodiversity loss. Lantana camara is one of the hundred most problematic invasive species globally, yet its genetic diversity patterns remain poorly understood. Previous studies hypothesize that invasive L. camara is a species complex of hybrid origin, though this remains untested. We investigated the population genetic patterns of L. camara by sampling 359 plants representing diverse flower colour variants across 36 locations in India. Analyses of the population structure using 19,008 SNPs revealed a strong genetic structure in India. However, this structure showed little correlation with geography; instead, individuals with similar flower colours clustered together irrespective of location in the structure analysis. Low genetic distance between most of the individuals indicated the absence of multiple species. A high inbreeding coefficient and low proportion of heterozygous sites suggested predominant self-fertilization, confirmed by bagging experiments. Thus, we infer that L. camara exists as homozygous inbred lines formed by self-fertilization, associated with distinct flower colours. These results refute the hypothesis that L. camara is a species complex. Our findings highlight a hitherto unknown role for mating systems in invasive species, furthering our understanding of evolution in invasive species.

Two time scales of adaptation in human learning rates

tom.verguts@ugent.be (Haopeng Chen) — Wed, 22 Jul 2026 00:00:00 +0000

Different situations may require radically different information updating speeds (i.e., learning rates). Some demand fast learning rates while others benefit from using slower ones. To adjust learning rates, decision makers could rely on either global, meta-learned differences between environments, or faster but transient adaptations to locally experienced prediction errors. Here, we introduce a new paradigm that allows researchers to measure and empirically disentangle both forms of adaptation. Participants performed short blocks of trials of a continuous estimation task – fishing for crabs – on six different islands that required different optimal (initial) learning rates. Across two experiments, participants showed fast adaptations in learning rate within a block. Critically, participants also learned global environment-specific learning rates over the time course of the experiment, as evidenced by computational modelling and by the learning rates calculated on the very first trial when revisiting an environment (i.e., unconfounded by transient adaptations). Using representational similarity analyses of fMRI data, we found that differences in voxel pattern responses in the central orbitofrontal cortex (OFC) correlated with differences in these global environment-specific learning rates. Our findings show that humans adapt learning rates at both slow and fast time scales, and that the central OFC may support meta-learning by representing environment-specific task-relevant features such as learning rates.

PKMζ-PKCι/λ double-knockout demonstrates atypical PKC is crucial for the persistence of hippocampal LTP and spatial memory

afenton@nyu.edu (Alejandro Grau-Perales) — Wed, 22 Jul 2026 00:00:00 +0000

PKMζ is a persistently active atypical PKC (aPKC) isoform thought to maintain late-phase long-term potentiation (late-LTP) and long-term memory. PKMζ-knockout mice, however, still exhibit hippocampal LTP and spatial memory while lacking neocortical LTP, questioning whether this kinase is fundamental to enduring synaptic potentiation and memory. Tsokas et al. (2016) suggested that the other aPKC, PKCι/λ, may compensate for PKMζ during maintenance in the hippocampus of PKMζ-null mice. In wild-type mice, PKCι/λ drives early-LTP and short-term memory, whereas in PKCι/λ-knockout mice, PKMζ compensates by supporting both early- and late-phase processes. Here, we show that PKCι/λ is persistently upregulated during maintenance in two mouse models: PKMζ-conditional knockout mice, and double-knockout mice carrying both conditional deletion of PKCι/λ and constitutive loss of PKMζ. Because PKCι/λ-gene excision is inducible in the double-knockout line, we could characterize the persistent increase of PKCι/λ in late-LTP prior to its deletion. To examine PKCι/λ function, we induced its deletion in the hippocampus. Whereas mutual compensation preserves LTP when either PKCι/λ or PKMζ alone is knocked out, double-knockout of both PKCι/λ and PKMζ eliminates late-LTP. Double-knockout also abolishes spatial long-term memory without affecting short-term memory. Thus, when PKMζ is absent, PKCι/λ persists to maintain hippocampal late-LTP and long-term memory.

Enteropathogenic Escherichia coli-mediated fast and coordinated Ca^²+ responses regulate NF-κB activation

guy.tranvannhieu@i2bc.paris-saclay.fr (Fangrui Guo) — Wed, 22 Jul 2026 00:00:00 +0000

Enteropathogenic Escherichia coli (EPEC) is a major bacterial enteropathogen causing infectious diarrhea among children in developing countries. Here, we found that EPEC induced isolated Ca²⁺ responses in epithelial cells, triggered by extracellular ATP (eATP). These responses were dependent on type III secretion (T3S) and down-regulated by the bacterial secreted protease EspC, consistent with eATP released by the T3S translocon pore-forming activity in host membranes. By performing high-speed Ca²⁺ imaging, we uncovered that at the onset of infection, low eATP levels triggered Ca²⁺-responses involving the whole cell but showing small amplitude and fast kinetics usually associated with local Ca²⁺ responses. The findings, supported by theoretical modeling, evoke a conceptual shift whereby low amounts of inositol 1, 4, 5-trisphosphate (IP₃) induced by low eATP levels and subsequent moderate Ca²⁺ release enable the fast coordination of IP₃ receptor cluster activation throughout the cell. Importantly, these yet undescribed coordinated fast responses occurred over prolonged time periods and defined a cell state with dampened activation of the pro-inflammatory transcriptional activator NF-kB associated with a decrease in its Ca²⁺-dependent O-linked β-N-acetylglucosamine modification.

Quantitative computerized analysis demonstrates strongly compartmentalized tissue deformation patterns underlying mammalian heart tube formation

jorgendm@ujaen.es (Jorge N Domínguez) — Tue, 21 Jul 2026 00:00:00 +0000

The quantitative analysis of tissue deformation at cellular resolution remains an important challenge in mammalian organogenesis. Here, we developed a new computational workflow to extract regional and temporal patterns of tissue deformation, and applied it to a collection of live microscopy datasets from mouse cardiogenesis. We devised a method to track tissue deformation directly from time-lapse raw images and experimentally validated the method by comparison with actual cell tracks. We then used a machine-learning approach to temporally and spatially align different specimens and reconstruct a single statistical model of tissue motion, deducing maps of strain, anisotropy, and tissue growth. We also implemented a virtual fate mapping tool that allows tracking any initial position in the cardiac primordium onto the linear heart tube (HT). Our study reveals predominant local cellular coherence during the deformation of the cardiac tissue, whereas strong compartmentalization of tissue deformation patterns transforms the bilateral cardiac primordium into a 3D longitudinal HT. At the future outer curvature of the primitive tube, the ventricular chamber forms by expansion of the tissue in a hemi-barrel shape with two harnessing belts: one that constrains tissue expansion at the arterial pole and one that constrains the expansion at the venous pole. Our study provides a new approach to understanding heart morphogenesis and proposes a new model of primitive HT formation.

Reactive oxygen detoxification contributes to Mycobacterium abscessus antibiotic survival

bhpenn@health.ucdavis.edu (Abigail Ray) — Tue, 21 Jul 2026 00:00:00 +0000

When a population of bacteria is exposed to a bactericidal antibiotic, most cells die rapidly. However, a subpopulation of antibiotic-tolerant cells known as ‘persister cells’ can survive for prolonged periods. In addition, antibiotic tolerance can be broadly induced throughout the population by stresses such as nutrient deprivation. However, the pathways required to maintain viability in this setting and how stress induces antibiotic tolerance are both poorly understood. To identify genetic determinants of antibiotic tolerance in mycobacteria, we carried out transposon insertion sequencing (Tn-Seq) screens in Mycobacterium abscessus (Mabs) exposed to bactericidal translation-inhibiting antibiotics. This analysis identified genes essential for the survival of both spontaneous persister cells, as well as for stress-induced tolerance, allowing the first genetic comparison of these states in mycobacteria. Pathway analysis identified multiple genes involved in the detoxification of reactive oxygen species (ROS), including the catalase-peroxidase katG, which contributed to survival in both unstressed and nutrient-starved cells. In addition, we found that endogenous ROS were generated by translation-inhibiting antibiotics, and that hypoxia impaired bacterial killing. KatG specifically contributed to survival following exposure to transcription or translation inhibitors, but not other antibiotic classes tested. Thus, the lethality of some antibiotics is amplified by toxic ROS accumulation, and antibiotic-tolerant cells require detoxification systems in order to remain viable. These findings further demonstrate that antibiotic-induced ROS plays a broad role in mediating antibiotic lethality across diverse organisms.

The adaptive landscapes of three global Escherichia coli transcriptional regulators

caua.westmann@ieu.uzh.ch (Andreas Wagner) — Tue, 21 Jul 2026 00:00:00 +0000

The evolution of gene regulation is a major source of evolutionary adaptation and innovation, particularly when organisms encounter new or changing environments. Central to this process is the emergence of new transcription factor binding sites (TFBSs). Adaptive landscapes provide a powerful framework to study such emergence by linking regulatory DNA sequences to their transcriptional outputs. Although several landscapes have been characterized for DNA, RNA, and proteins, large-scale in vivo adaptive landscapes for bacterial TFBSs remain scarce. Here, we address this gap by experimentally mapping the first comprehensive in vivo regulatory landscapes for three global transcription factors in Escherichia coli: cAMP receptor protein, Fis, and IHF. Using a massively parallel reporter assay, we quantify the regulation strength of more than 30,000 TFBS variants for each factor, and reconstruct their adaptive landscapes. All three landscapes are highly rugged and exhibit pervasive epistasis, with thousands of local peaks distributed broadly across sequence space. This ruggedness contrasts sharply with the much smoother TFBS landscapes of eukaryotes. It suggests greater constraints on the evolution of prokaryotic gene regulation. Nonetheless, evolutionary simulations show that ~10% of evolving populations can reach a peak of strong regulation, a proportion that is significantly greater than in comparable random landscapes. Adaptive evolution starting from the same DNA sequence can attain different high peaks, and some peaks are reached more frequently than others. Together, our results show that de novo adaptive evolution of new gene regulation in bacteria is feasible, but subject to a blend of chance, historical contingency, and evolutionary biases.

Single-cell characterization of anterior segment development in the mouse reveals the cell types, pathways, and signals driving formation of the trabecular meshwork and Schlemm’s canal

rb3132@cumc.columbia.edu (Aakriti Bhandari) — Tue, 21 Jul 2026 00:00:00 +0000

Morphogenesis of the anterior segment (AS) is crucial for healthy ocular physiology and vision, but is only partially understood. The Schlemm’s canal (SC) and trabecular meshwork (TM) are essential drainage tissues within the AS, and their proper development and function are critical for maintaining normal intraocular pressure; abnormalities in either tissue can result in elevated pressure and glaucoma. Here, we use single-cell transcriptomic profiling to provide high-resolution molecular detail of mouse AS development with a particular focus on SC and TM. We report transcriptomes for ~130,000 single cells at key developmental stages from postnatal day 2 (P2) to P60. We provide the first annotation of cell types across these developmental stages and crucial information about dynamic changes in pathways/gene expression. Further, we trace developmental trajectories for TM cell and SC endothelial cell (SEC) subtypes and determine genes and signaling networks driving their specific cell fates. We demonstrate dynamic changes in signaling interactions between SC and the TM cells during their synchronized development. Collectively, our data lay a deep molecular foundation for AS development that will direct understanding of normal ocular physiology, glaucoma, and other AS conditions.

DuoHexaBody-CD37 induces direct cytotoxic signaling in diffuse large B-cell lymphoma

Annemiek.vanSpriel@radboudumc.nl (Annemiek B van Spriel) — Mon, 20 Jul 2026 00:00:00 +0000

Diffuse large B-cell lymphoma (DLBCL) is a common aggressive form of non-Hodgkin lymphoma. Tetraspanin CD37 is highly expressed on mature B cells and being studied as a therapeutic target for NHL, including DLBCL. DuoHexaBody-CD37 is a biparatopic antibody with an E430G hexamerization-enhancing mutation targeting two non-overlapping CD37 epitopes shown to promote complement-dependent cytotoxicity. However, the impact of DuoHexaBody-CD37 on direct cytotoxic signaling has not yet been studied. Here, we demonstrate that DuoHexaBody-CD37 induces direct cytotoxicity in DLBCL-derived tumor cell lines independent of the subtype. DuoHexaBody-CD37 induced significant CD37 clustering and was retained at the cell surface in contrast to rituximab, which was internalized. Unbiased screening identified the modulation of 26 (phospho)proteins upon DuoHexaBody-CD37 treatment of primary B cells or DLBCL cells. Whereas DLBCL cells predominantly upregulated p-SHP1(Y564) upon DuoHexaBody-CD37 treatment, primary B cells showed significantly increased p-AKT(S473) and MAPK signaling which is linked to cell survival. Studies using CD37-mutants identified the N-terminus to be involved in DuoHexaBody-CD37-induced signaling. Finally, DuoHexaBody-CD37 treatment inhibited cytokine pro-survival signaling in DLBCL cells. These findings provide novel insights into the signaling functions of CD37 upon DuoHexaBody-CD37 treatment, and open up opportunities for developing CD37-targeted immunotherapy in combination with small molecule inhibitors to maximize tumor cell death.

Cluster size determines internal structure of transcription factories in human cells

gnegro2@ed.ac.uk (Antonio Suma) — Mon, 20 Jul 2026 00:00:00 +0000

Transcription is a fundamental cellular process and the first step of gene expression. In human cells, it depends on the binding to chromatin of various proteins, including RNA polymerases and numerous transcription factors (TFs). Observations indicate that these proteins tend to form macromolecular clusters, known as transcription factories, whose morphology and composition are still debated. While some microscopy experiments have revealed the presence of specialised factories, composed of similar TFs transcribing families of related genes, sequencing experiments suggest instead that mixed clusters may be prevalent, as a panoply of different TFs binds promiscuously to the same chromatin region. The mechanisms underlying the formation of specialised or mixed factories remain elusive. With the aim of finding such mechanisms, here we develop a chromatin polymer model mimicking the chromatin binding-unbinding dynamics of different types of complexes of TFs. Surprisingly, both specialised (i.e. demixed) and mixed clusters spontaneously emerge, and which of the two types forms depends mainly on cluster size. The mechanism promoting mixing is the presence of non-specific interactions between chromatin and proteins, which become increasingly important as clusters become larger. This result, that we observe both in simple polymer models and more realistic ones for human chromosomes, reconciles the apparently contrasting experimental results obtained. Additionally, we show how the introduction of different types of TFs strongly affects the emergence of transcriptional networks, providing a pathway to investigate transcriptional changes following gene editing or naturally occurring mutations.

Serial dependence predicts generalization in perceptual learning

yoram.bonneh@gmail.com (Dov Sagi) — Mon, 20 Jul 2026 00:00:00 +0000

Visual perception is shaped by recent experience, but how these momentary influences accumulate to support long-term learning and generalization remains unclear. Here, we asked whether short-term memory traces, namely attractive serial-dependence effects (SDEs), promote learning generalization. We reanalyzed over 200,000 trials from observers trained on a visual texture-discrimination task under three conditions that differentially modulated generalization. Under certain conditions, SDEs reached further back in time than previously reported and persisted after eight days of practice, despite the non-informative nature of past stimuli. Observers in conditions previously shown to support generalization displayed larger long-range SDEs, and individual SDE magnitude predicted transfer of learning across locations. We propose that SDE is associated with learning flexibility, providing a principled framework for when and why perceptual learning generalizes, which is central to theories of cognitive flexibility. Attractive serial dependence is not an extra mechanism in this model—it is the behavioral footprint of ongoing template plasticity required for flexibility in changing environments.

Organization of circuits linking descending input to motor output in the Drosophila Male Adult Nerve Cord connectome

jefferis@mrc-lmb.cam.ac.uk (Andrew S Champion) — Mon, 20 Jul 2026 00:00:00 +0000

In most animals, a small number of descending neurons (DNs) connect the brain to circuits and motor neurons (MNs) in the nerve cord. To understand how brain signals generate behavior, it is critical to understand the organization of the neural pathways linking DNs to MNs. In companion papers, we introduced a densely reconstructed connectome of the Drosophila Male Adult Nerve Cord (MANC; Takemura et al., 2024), including cell types and developmental lineages (Marin et al., 2024), which provides complete connectivity of the ventral nerve cord (VNC) at synaptic resolution. Here, we present a first look at the organization of the networks connecting DNs to MNs. We first proofread and curated all DNs and MNs, then systematically matched their morphology to light microscopy data. We report both broad organizational patterns of the entire network and fine-scale analysis of selected circuits of interest. We discover that direct DN-MN connections are infrequent and identify neuron communities putatively linked to control of different motor systems, including walking, flight steering and power generation, and coordinated action of wings and legs. Our analyses generate hypotheses for future functional experiments and empowers others to investigate these and other circuits of the VNC in richer mechanistic detail.

Neural categorization of visual words of alphabetic and non-alphabetic languages

shan@pku.edu.cn (Guo Zheng) — Mon, 20 Jul 2026 00:00:00 +0000

Languages provide social-category markers that tag people as one or another social group. How does the brain sort words into different language categories as a basis of the social-categorization function of language? The current work addressed this issue by testing neural categorization of visual words of different writing systems in nine studies using electroencephalography, magnetoencephalography, and a repetition suppression paradigm. This work showed that a neural network, including the anterior temporal, insular, orbital frontal, and ventral occipito-temporal cortices in both hemispheres, was engaged in computations of correlation distances between two words to represent intra-language similarity and inter-language difference during categorization of visual words of alphabetic and non-alphabetic languages. These processes occurred as early as 150 ms post-stimulus, recruited within-hemisphere functional connections, operated independently of words’ semantic meanings and pronunciations, and exhibited consistently across individuals with diverse language backgrounds. These findings highlight the neural mechanisms of language-based spontaneous neural categorization of visual words as a basis of the social-categorization function of language.

Serotonergic modulation of motor subspace dynamics drives a sleep-independent quiescent state

ymchai@ustc.edu.cn (Daguang Li) — Mon, 20 Jul 2026 00:00:00 +0000

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that optogenetic activation of DRN 5-HT neurons in larval zebrafish induced a quiescent state and a reduced response to acoustic stimuli. Unlike sleep, the induced quiescent state was not accompanied by a loss of postural control, and nighttime activation of DRN 5-HT neurons led to a subsequent sleep rebound. Whole brain light field imaging combined with demixed principal component analysis (dPCA) revealed distinct neural subspaces related to DRN activation, sound responses, and motor activity. DRN 5-HT activation selectively modulated the motor-related subspace while leaving the sound-evoked subspace unaffected. Unlike DRN activation, sleep induced by mepyramine significantly altered sound-evoked neuronal activity patterns. Further analysis demonstrated that serotonin had a graded effect on the motor subspace, wherein downstream neurons responsible for particular bout types were more significantly influenced. Embedding motor population activity in a curved geometric space revealed that the degree of curvature scales with behavioral suppression across animals, providing a quantitative signature of the quiescent state. Together, these results elucidate that serotonergic modulation promotes behavioral quiescence through selective regulation of motor populations.

The view tolerance of human identity recognition depends on horizontal face information

valerie.goffaux@uclouvain.be (Alexia Roux-Sibilon) — Mon, 20 Jul 2026 00:00:00 +0000

This study investigates which visual information enables humans to recognize facial identity across different viewpoints, a key unresolved question in vision science. Participants completed an identity recognition task using faces rotated across a range of yaw angles and filtered to retain specific orientation ranges of visual information. Regardless of viewpoint, human performance consistently relied on horizontal facial information. To understand why, we used model observers to assess the identity information physically available in the images. A view-selective model, which matched identities within the same viewpoint, indicated that diagnostic identity cues shift from predominantly horizontal in frontal views to more vertical in profile views. In contrast, a view-tolerant model, which matched identities across different viewpoints, revealed that horizontal information provides the most stable and reliable identity cues across views. Furthermore, horizontal facial information best predicted the average appearance of a face across viewpoints, supporting its role in forming stable identity representations. These findings suggest that view-tolerant face representations are acquired through exposure to the stable statistical properties of faces primarily conveyed by horizontal information. By specifying the spatial information underlying recognition across viewpoints, the study offers valuable empirical constraints for the development of theoretical and computational models of face recognition.

RNA selectively modulates activity of virulent amyloid PSMα3 and host-defense LL-37 via phase separation and aggregation dynamics

meytal.landau@desy.de (Alexander Kai Buell) — Mon, 20 Jul 2026 00:00:00 +0000

Amyloid-forming peptides are increasingly recognized as dynamic regulators at the host–pathogen interface, yet how environmental factors control their assembly and activity remains poorly understood. Here, RNA acts as a concentration-dependent regulator of two sequence-related α-helical peptides with fundamentally different assembly behaviors: the cross-α amyloid-forming Staphylococcus aureus virulence factor PSMα3 and the non-amyloidogenic human host-defense peptide LL-37. RNA drives PSMα3 through distinct assembly states, from liquid-like condensates to fibrillar polymorphs, while preserving cytotoxic and antimicrobial activity over time. In contrast, RNA attenuates LL-37 cytotoxicity toward host cells while maintaining antibacterial activity, consistent with a host-protective immunomodulatory effect. Together with the opposing effects of epigallocatechin gallate, which redirects both peptides into amorphous assemblies, these findings support a mechanistic model in which biological activity is governed by supramolecular architecture, assembly trajectory, and dynamics rather than by monomer abundance or mature fibrils alone. More broadly, our findings identify RNA as an environmental regulator of α-helical peptide assemblies, and establish assembly-state control as a tunable determinant of virulence and host defense.

Enhanced processivity and collective force production of kinesin-1 at low radial forces

yildiz@berkeley.edu (Ahmet Yildiz) — Mon, 20 Jul 2026 00:00:00 +0000

Kinesin-1 is a robust motor that carries intracellular cargos toward the plus ends of microtubules. However, optical trapping studies reported that kinesin-1 is a slippery motor that quickly detaches from the microtubule, and multiple kinesins are incapable of teaming up to generate large collective forces. This may be due to the vertical (z) forces that the motor experiences in a single bead trapping assay, accelerating the detachment of the motor from a microtubule. Here, we substantially lowered the z-force by using a long DNA handle between the motor and the trapped bead and characterized the motility and force generation of single and multiple human kinesin-1 motors in vitro. Contrary to previous views, we show that kinesin-1 is a robust motor that resists microtubule detachment before it reaches high hindering forces, but it quickly detaches under assisting forces even at low z-forces. We also demonstrate highly efficient collective force generation by multiple kinesin-1 motors. These results provide an explanation for how multiple kinesins team up to perform cellular functions that require higher forces than a single motor can bear.

FMRP regulates neuronal RNA granules containing stalled ribosomes, not where ribosomes stall

wayne.sossin@mcgill.ca (Jewel T-Y Li) — Mon, 20 Jul 2026 00:00:00 +0000

Local protein synthesis is a crucial process that maintains local proteostasis in neurons. A large percentage of mRNAs translated in developing neurons are associated with stalled ribosomes. FMRP, the protein lost in Fragile X syndrome, is highly enriched in RNA granules that contain stalled ribosomes. Previous examination of ribosome-protected fragments (RPFs) from stalled neuronal ribosomes identified sequences that match those found in mRNAs associated with FMRP. To investigate whether FMRP recognition of these sequences is important for determining where ribosomes stall on mRNAs, we examined RPFs isolated from P5 mice of both sexes that lack the FMRP protein. The loss of FMRP had no significant effect on the proteins associated with neuronal stalled ribosomes, on ribosome structure, or the stalling sites (locations where RPFs accumulated). There was a small, but significant decrease in the number of RPFs from mRNAs previously shown to be associated with FMRP by CLIP. Additionally, the number of neuronal RNA granules containing stalled ribosomes, as assayed by ribopuromycylation, decreased. These results suggest a role of FMRP in neuronal RNA granules that contain stalled ribosomes, though loss of FMRP does not influence where ribosomes are stalled or the formation of stalled ribosome.

Flexible and high-throughput simultaneous profiling of gene expression and chromatin accessibility in single cells

volker_soltys@eva.mpg.de (Dingwen Su) — Mon, 20 Jul 2026 00:00:00 +0000

Gene regulation underpins development and is an intricate biological process involving transcription, typically at promoters within accessible chromatin. To understand cell-type-specific regulatory networks, the ability to capture both transcription and chromatin accessibility simultaneously is crucial. However, joint measurements are technically challenging and current methodologies still face adoption challenges. Here, we present easySHARE-seq, an improvement on SHARE-seq for the simultaneous measurement of ATAC- and RNA-seq in single cells. We address several limitations of the previous method by improving the barcode and streamlining the protocol. As a result, easySHARE-seq libraries have a usable sequence of up to 300 bp (+200 bp increase), making it suitable for, e.g., investigation of allele-specific signals or variant discovery. Furthermore, easySHARE-seq libraries do not require a dedicated sequencing run thus saving costs. We applied easySHARE-seq to murine liver nuclei and recovered 19,664 nuclei with joint chromatin and expression profiles. By benchmarking against other combinatorial indexing-based techniques, we showed that we can recover over 1.5-fold more transcripts per cell while retaining high scalability and low cost. To showcase our method, we identified cell types, exploited the multiomic measurements to link cis-regulatory elements to their target genes and investigated liver-specific micro-scale changes. We conclude that easySHARE-seq improves upon previous methods and can produce high-quality multiomic datasets. We expect it to be applicable to a wide range of study designs.

DNA tensiometer reveals catch-bond detachment kinetics of kinesin-1, -2, and -3

woh1@psu.edu (Crystal R Noell) — Mon, 20 Jul 2026 00:00:00 +0000

Bidirectional cargo transport by kinesin and dynein is essential for cell viability, and defects are linked to neurodegenerative disease. Computational models predict that load-dependent motor detachment strongly determines the outcome of kinesin–dynein tug-of-war, with kinesin-3 and kinesin-2 more load-sensitive than kinesin-1. Yet reconstituted assays show that all three kinesin families compete similarly well against dynein. Previous work demonstrated that vertical forces from optical trapping assays can enhance kinesin-1 dissociation, suggesting that motor behavior may depend strongly on cargo geometry. To measure kinesin detachment and reattachment kinetics under forces applied parallel to the microtubule, we developed a DNA-based tensiometer using an entropic DNA spring linking motors to microtubules. For kinesin-1, –2, and –3, dissociation rates at stall were slower than during unloaded motion, and reattachment kinetics were consistent with a weakly bound slip state preceding detachment. Kinesin-3 behavior further suggested that long KIF1A run lengths arise from multiple short runs connected by diffusive episodes. Stochastic simulations reproduced the measured load-dependent kinetics and enabled direct comparison of transition rates among kinesin families. These results provide insight into how kinesin-1, –2, and –3 transport cargo in complex cellular geometries and compete against dynein during bidirectional transport.

Paternal over- and under-nutrition programme fetal and placental development in a sex-specific manner in mice

a.watkins@sheffield.ac.uk (A Augusto Coppi) — Mon, 20 Jul 2026 00:00:00 +0000

The association between sub-optimal paternal diet and offspring well-being is becoming established. However, the underlying mechanisms are yet to be fully defined. The aim of this study was to establish the impact of over- and under-nutrition, with or without macronutrient supplementation, on male reproductive fitness and post-fertilisation development. Male C57BL/6J mice were fed either control diet (CD), isocaloric low-protein diet (LPD), high-fat/sugar ‘Western’ diet (WD), or LPD or WD supplemented with methyl donors and carriers (MD-LPD or MD-WD, respectively) for 8 weeks before mating with virgin C57/BL6J females. Placental tissue was collected at embryonic day (E)8.5 to assess early placental (ectoplacental cone) morphology and metabolism and E17.5 for sex-specific transcriptomic profiling. Post-mating, stud male tissues were harvested for the assessment of testicular morphology and gene expression, gut microbiota composition, and metabolic status. WD and MD-WD males displayed increased adiposity, hepatic cholesterol and free fatty acids, and gut microbiota dysbiosis when compared to CD-fed males. In the testes, WD and MD-WD perturbed the expression of genes associated with metabolism and transcription regulation. Additionally, we observed differential expression of multiple genes within the Wnt signalling pathway, central in the regulation of cellular proliferation, migration, survival, and cell fate determination during development. Despite no impact on fundamental male fertility, significant changes in ectoplacental cone metabolism, fetal growth, and placental gene expression were observed in response to specific dietary regimens. Interestingly, while CD male and female placentas displayed 301 genome-wide, sexually dimorphic genes, LPD, MD-LPD, WD, and MD-WD male and female placentas possessed only 13, 0, 14, and 15 sexually dimorphic genes, respectively. Our data show that while sub-optimal paternal diet has minimal impact on male fertility, fetal and placental development are perturbed in a sex-specific manner.

The two faces of JAK-STAT

yingyi_zhang@tju.edu.cn (Qianying Lu) — Thu, 16 Jul 2026 00:00:00 +0000

A signal that can help breast cancer cells grow may also increase immune responses and boost immune therapy.

The effect of physical activity on brain structure and cognitive function in the population-based cohort of LIFE-Adult Study

polona.kalc@med.uni-jena.de (Andrea Zülke) — Wed, 15 Jul 2026 00:00:00 +0000

Physical activity is believed to positively influence brain health and cognition and is considered a modifiable lifestyle factor that may protect against cognitive decline and neurodegeneration. In this observational study, we investigated the cross-sectional and longitudinal effects of self-reported total and moderate-to-vigorous physical activity on cognitive scores on the Trail Making Test (TMT-A and TMT-B), hippocampal volume, and Brain Age Gap Estimate (BrainAGE) in a large population-based cohort from the LIFE-Adult Study (n=2576). Furthermore, we examined the effect of objectively measured physical activity on brain structure in a subgroup with available accelerometry data (n=227). Multiple linear regression analyses did not show any positive effects of self-reported or objectively measured physical activity on hippocampal volume or processing speed and executive function. Longitudinal path analyses suggested a potential for reverse causation, where a higher BrainAGE at baseline was associated with lower physical capacity at follow-up. Additionally, we observed an age-related bias in the self-reporting of physical activity, indicating that older individuals tend to overestimate their level of activity. Future interventions targeting middle-aged adults may be necessary to raise awareness of potential misperception and encourage increased physical activity.

The Crunchometer, a low-cost, open-source acoustic analysis of feeding microstructure

ranier@cinvestav.mx (Alam Coss) — Tue, 14 Jul 2026 00:00:00 +0000

Elucidating the neuronal circuits that govern appetite requires precise, high-resolution monitoring of the microstructure of solid food consumption, a need unmet by existing tools, which are either costly or lack the temporal resolution to align feeding events with neuronal activity. To overcome this, we developed the Crunchometer, a low-cost, open-source acoustic system that uses computational algorithms to generate high-resolution feeding ethograms from the sounds produced during solid food consumption. Validation across energy states (hunger/satiety) confirmed its sensitivity to changes in feeding microstructure, and the system reliably detected semaglutide-induced suppression of intake and reduced preference for a high-fat diet. Leveraging its seamless integration with in vivo recordings in freely behaving mice, we paired the Crunchometer with lateral hypothalamus (LH) electrophysiology to identify ‘meal-related’ neurons that track entire meals rather than individual bouts. Calcium imaging further revealed that distinct subsets of LH GABAergic and glutamatergic neurons were tuned to feeding only, to licking only, or to both behaviors. Thus, LH neuronal ensembles differentially encode the consumption of solid food versus liquid sucrose. These findings demonstrate that the Crunchometer is a robust, accessible platform for dissecting the neural correlates of feeding behavior at the resolution of a single bite.

A natural experiment in Kenya reveals durable immunosuppressive effects of early childhood malaria: a longitudinal cohort study

csande@kemri-wellcome.org (Charles J Sande) — Tue, 14 Jul 2026 00:00:00 +0000

Understanding the cellular architecture of Huntington’s disease

dorian.pustina@chdifoundation.org (Dorian Pustina) — Tue, 14 Jul 2026 00:00:00 +0000

A new diffusion MRI approach offers a glimpse of the anomalies of cellular architecture underlying basal ganglia degeneration in Huntington’s disease.

Correction: Control of Arabidopsis shoot stem cell homeostasis by two antagonistic CLE peptide signalling pathways

Tue, 14 Jul 2026 00:00:00 +0000

Linking germline telomere removal to global programmed DNA elimination in Tetrahymena genome differentiation

kazufumi.mochizuki@igh.cnrs.fr (Alix Lemoine) — Tue, 14 Jul 2026 00:00:00 +0000

In the ciliate Tetrahymena, telomeres of the germline micronucleus (MIC) are removed and replaced by de novo telomere addition during somatic macronuclear (MAC) development. In this study, we investigated the kinetics and mechanism of the MIC telomere elimination. Comparison of the MIC and MAC genome sequences indicated that the MIC telomeres are excised from chromosomes as part of larger MIC-limited sequences (MLSs) through chromosomal breakage. We confirmed this using an optimized oligo-FISH protocol and found that their elimination occurs in parallel with other programmed DNA elimination processes. CRISPR-Cas9 disruption of a MLS-associated Chromosome Breakage Sequence (CBS) showed that elimination of the MLS was not blocked but instead led to loss of its adjacent MAC-destined sequence (MDS), suggesting abnormal co-elimination. In biparental crosses of the CBS mutant, however, both MLS and MDS were retained, DNA elimination was broadly disrupted, and no viable progeny were produced. These findings indicate that chromosome breakage at MLS-associated CBSs is essential for the proper separation of MLSs and MDSs, ensuring correct DNA elimination and successful sexual progeny development. We propose that the MIC telomere elimination is subsumed within the broader process of programmed DNA elimination.

In silico design and validation of high-affinity RNA aptamers for SARS-CoV-2 comparable to neutralizing antibodies

wangzhiye1@zju.edu.cn (Damiano Buratto) — Tue, 14 Jul 2026 00:00:00 +0000

Nucleic acid aptamers hold promise for clinical applications, yet understanding their molecular binding mechanisms to target proteins, and efficiently optimizing their binding affinities, remain challenging. Here, we present CAAMO (Computer-Aided Aptamer Modeling and Optimization), which integrates in silico aptamer design with experimental validation to accelerate the development of aptamer-based RNA therapeutics. Starting from the sequence information of a reported RNA aptamer, Ta, for the SARS-CoV-2 spike protein, our CAAMO method first determines its binding mode with the spike protein’s receptor binding domain (RBD) through a multi-strategy computational approach. We then optimize its binding affinity via structure-based rational design. Among the six designed candidates, five were experimentally verified and exhibited enhanced binding affinities compared to the original Ta sequence. Furthermore, we directly compared the binding properties of the RNA aptamers to neutralizing antibodies and found that the designed aptamer Ta^G34C demonstrated a comparable binding affinity to the RBD compared to the representative neutralizing antibodies analyzed in this study. This highlights its potential as an alternative to existing COVID-19 antibodies. Our work provides a robust approach for the efficient design of a relatively large number of high-affinity aptamers with complicated topologies. This approach paves the way for the development of aptamer-based RNA diagnostics and therapeutics.

Heterozygote advantage cannot explain MHC diversity, but MHC diversity can explain heterozygote advantage

jcherry@ncbi.nlm.nih.gov (Joshua L Cherry) — Mon, 13 Jul 2026 00:00:00 +0000

Several theoretical studies have concluded that heterozygote advantage makes at most a minor contribution to MHC diversity. Siljestam and Rueffler (2024) recently presented models in which heterozygote advantage alone can lead to realistically high diversity. Here I argue that heterozygote advantage cannot by itself explain MHC diversity, and that its contribution to diversity is unlikely to be large in most species. I first show that the high diversity reported by Siljestam and Rueffler is so sensitive to parameter values that the underlying phenomenon cannot explain the widespread diversity of MHC genes. I then consider a fundamental problem with explaining MHC diversity by heterozygote advantage alone: selective forces that favored heterozygotes would lead to the evolution of haplotypes having much higher fitness when homozygous, diminishing or eliminating heterozygote advantage. Diversity maintained by another force, however, might bring about adaptation to the more common heterozygous state at the expense of homozygous fitness. Thus, substantial heterozygote advantage may arise as a consequence of MHC diversity.

Human cerebellum and ventral tegmental area interact during extinction of learned fear

enzo.nio@uk-essen.de (Alice Doubliez) — Mon, 13 Jul 2026 00:00:00 +0000

The key elements for fear extinction learning are unexpected omissions of expected aversive events, which are considered to be rewarding. Given its reception of reward information, we tested the hypothesis that the cerebellum contributes to reward-like prediction error processing driving extinction learning via its connections with the ventral tegmental area (VTA). Forty-three young and healthy participants performed a three-day fear conditioning paradigm in a 7T MR scanner. The cerebellum and VTA were active during unexpected omissions of aversive unconditioned stimuli in the initial extinction trials and in other learning phases, in line with the proposed role of prediction-error processing. Increased functional connectivity was observed between the cerebellum and VTA, indicating that they are functionally coupled during fear extinction learning. These results suggest that an interaction between the cerebellum and VTA should be incorporated into the existing model of the fear extinction network.

Cytoplasmic circular dsDNA is a key constituent of stress granules

natalia.demeshkina@nih.gov (Adrian R Ferré-D'Amaré) — Mon, 13 Jul 2026 00:00:00 +0000

Stress granules are large cytoplasmic bodies formed in response to environmental insults by eukaryotic cells. Stress granule formation is key for post-stress recovery, and many diseases and infections are characterized by dysregulation of these membraneless organelles. How specific and non-specific macromolecular interactions drive the formation of stress granules and other large assemblies is an area of active research. Stress granules are comprised of dense, ~200 nm cores, and these are known to contain numerous RNAs and proteins. Now, we have discovered that more than half of the nucleic acid content of stress granule cores is circular, double-stranded DNA. We demonstrate cytologically that these extrachromosomal circular DNAs (eccDNAs) colocalize cytoplasmically with canonical stress granule marker proteins in HEK293T cells, and through CRISPR targeting in budding yeast, that they are required for stress granule formation upon stress. This discovery thus reveals a key function for eccDNA in the eukaryotic stress response.

Experimental verification of the error minimization theory using non-standard genetic codes constructed in vitro

ichihashi@bio.c.u-tokyo.ac.jp (Norikazu Ichihashi) — Mon, 13 Jul 2026 00:00:00 +0000

All living systems use an almost identical standard genetic code (SGC), in which 20 amino acids are assigned non-randomly. According to the error minimization theory, amino acids are arranged to minimize the mutational effect on protein function, while experimental verification remains limited. Here, we constructed 10 non-standard genetic codes (non-SGCs) in vitro by reassigning three amino acids (Ala, Ser, and Leu) in vacant codons of the minimal genetic code consisting of 21 tRNAs. Most of these non-SGCs have a higher cost of amino acid replacement than the SGC, calculated based on three amino acid properties: polar requirement (PR), molecular volume (MV), and hydropathy index (HI). The protein function of three reporter genes expressed using these non-SGCs decreased similarly when random mutations were introduced into the genes, implying that the effect of mutations was similar across all the non-SGCs tested here. This result provides direct experimental evidence that mutational robustness does not significantly change in individual reporter protein activity within the range of mutational cost tested in this study (Cost_PR: 5.29–5.77, Cost_MV: 1848–2348, and Cost_HI: 3.27–5.10), which covers approximately 18.4% (PR), 37.6% (MV), and 50.8% (HI) of the possible cost range achievable among one million randomly-generated genetic codes.