Biology subjects

Wang, Q.

Publications and source records attributed to Wang, Q..

At least 19 recordsLinked to original sources

bioRxiv2026

Mapping the Fragment-Binding Landscape of SARS-CoV-2 nsp14 for Antiviral Drug Discovery

Non-structural protein 14 (nsp14) is a bifunctional coronavirus drug target, combining a 3'-to-5' exoribonuclease domain with an N7-methyltransferase domain. Proof-of-concept data have demonstrated beneficial effects in animal models upon inhibition. Using microscale thermophoresis and X-ray crystallography, we screened full-length nsp14 for fragment hits and developed SAR-by-catalogue analogues with five- to eight-fold improved affinity. Several scaffolds showed pronounced overlap between distinct pockets, complicating structure-based optimisation. Analysis of mutational frequencies across over 14 million SARS-CoV-2 genome sequences identified nsp14 residues with markedly high and very low mutation rates, highlighting sites best suited to pan-coronavirus inhibitor design. Combining these data with all 19 publicly known fragment- and ligand-binding regions on nsp14, most of which have never been directly compared, we introduce a systematic site-naming system and rank every site by its potential for future structure-based development. Weighing criteria include proof-of-principle inhibitor data, cross-coronavirus conservation, mutation frequency, the number of fragments bound per site, and susceptibility to crystallographic artefacts from symmetry mates. This ranked, unified binding-site atlas resolves which of the many previously reported nsp14 sites merit prioritisation, providing a practical resource for future coronavirus antiviral drug development.

biochemistry↗

bioRxiv2026

Hypothalamic plasticity for alloparenting in male mice

Repeated exposure to young can induce caregiving in virgin female mice, a phenomenon known as pup sensitization, but whether virgin males can similarly acquire parental behavior and the neural mechanisms underlying this transition remain unclear. We show that 7 days of continuous pup exposure reliably converts virgin adult male mice to a parental state. This transition requires calcitonin receptor (CalcR)-expressing neurons in the medial preoptic area (MPOA): silencing MPOACalcR neurons disrupts both the acquisition and expression of paternal behavior, whereas optogenetic activation of GABAergic MPOACalcR neurons promotes caregiving in virgin males. Longitudinal two-photon calcium imaging reveals that MPOACalcR neurons develop enhanced pup-selective responses as males transition to a parental state. Moreover, CalcR signaling in the MPOA promotes synaptic potentiation and facilitates the emergence of parental behavior. These results identify an experience-dependent hypothalamic plasticity mechanism that enables parental behavior in non-father males.

neuroscience↗

bioRxiv2026

A General Mathematical Model of Symport Based on Conformational Transitions

General mathematical modeling of symport faces two fundamental challenges: (i) a unified kinetic description independent of protein-specific structural details; and (ii) quantitative cross-scale mapping between microscopic conformational transitions and macroscopic physiological observables. Grounded in the fundamental physiological principle of cellular homeostasis, we propose a unifying hypothesis for symporter gating: symporters actively regulate intracellular concentrations of specific solutes within thermodynamically feasible bounds. Based on this hypothesis, we construct a universal mathematical model of symporters, employing a minimal conformational cycle as the topological scaffold and probabilistic transition rates to quantitatively describe conformational interconversion kinetics. Model simulations of experimental data from the SGLT, NaPi-II, NKCC, and NBC transporter families yield consistent fits. The resulting parameters not only reproduce experimentally observed transport behaviors---but also reveal underlying mechanistic principles of symporter function.

physiology↗

bioRxiv2026

Dissecting KEAP1-NRF2 interactions: Structural and functional impact of cancer-associated KEAP1 mutants

Kelch-like ECH-associated protein 1 (KEAP1) is a cysteine-rich substrate adaptor for the CUL3-RBX1 E3 ubiquitin ligase complex, primarily regulating the transcription factor NRF2. By promoting NRF2 degradation under basal conditions, KEAP1 maintains redox homeostasis, while oxidative or electrophilic stress disrupts this regulation, enabling NRF2 activation of cytoprotective genes. Dysregulation of the KEAP1-NRF2 pathway, often through KEAP1 mutations, is implicated in cancer, where constitutive NRF2 activation promotes tumour growth, chemoresistance, and metabolic reprogramming. In this study, we investigated structural and functional consequences of three representative KEAP1 mutants R470C (superbinder), G480W (hypomorphic), and R554Q (null allele) using thermal shift assays (TSA), microscale thermophoresis (MST), isothermal calorimetry (ITC), and X-ray crystallography, complemented by AlphaFold3 modelling. TSA revealed that while inhibitor-induced thermal stability shifts followed similar pattern across mutants, baseline stability varied significantly, with R554Q showing the largest destabilisation. MST and ITC confirmed mutant-specific alterations in NRF2 ETGE peptide binding affinity, consistent with their known functional classifications. Structures of mutant-inhibitor and mutant-peptide complexes showed remarkable structural similarity to native KEAP1, with preserved inhibitor and peptide binding orientations despite residue substitutions. Spatial mapping of reported KEAP1 mutations revealed clustering of superbinder mutations near the IVR interface, while most loss-of-function variants localised within the KELCH domain. Our findings provide a detailed structural and biophysical characterization of clinically relevant KEAP1 mutations, offering mechanistic insights into their functional diversity. This work advances the understanding of KEAP1 mutation effects, with implications for therapeutic targeting of the KEAP1-NRF2 pathway in cancer.

cancer biology↗

bioRxiv2026

Venetoclax Resistance Creates Canonical Pyroptosis Vulnerability in AML

Venetoclax has transformed acute myeloid leukemia (AML) therapy, yet resistance is almost inevitable. Its diverse, often difficult-to-target drivers frequently converge on monocytic differentiation, a state that survives on MCL1 rather than BCL2. Here, we show that the very cells that escape BCL2 inhibition retain the canonical pyroptosis machinery of normal monocytes. Across 15 bulk and 4 single-cell cohorts, the canonical pyroptosis program was enriched in monocytic AML and monocytic leukemia stem cells, correlated with venetoclax resistance, and associated with inferior survival specifically after venetoclax-based therapy. In 24 cell lines and 142 patient specimens, both DPP8/9 inhibition by Val-boroPro and NLRP3 activation by lipopolysaccharide (LPS) plus nigericin preferentially killed monocytic AML cells through GSDMD-mediated pyroptosis, largely sparing non-monocytic AML and lymphoid leukemias. Venetoclax preferentially depleted primitive AML blasts but enriched a monocytic residuum vulnerable to canonical pyroptosis; combining venetoclax with Val-boroPro achieved deeper ex vivo clearance than either agent alone. In venetoclax-resistant xenografts, Val-boroPro suppressed leukemia progression, and adding venetoclax further reduced leukemia burden and prolonged survival beyond either monotherapy. Thus, venetoclax resistance itself exposes an alternative, druggable cell-death program that can be therapeutically exploited to overcome this resistance.

cancer biology↗

bioRxiv2026

Charting sex divergence in the human brain across the lifespan

Biological sex fundamentally shapes human brain organization, but sex-specific normative neuroanatomical trajectories across the lifespan remain largely uncharted. Here, we constructed independent, sex-specific lifespan brain charts using structural neuroimaging data from 59,915 healthy individuals (29,760 males and 30,155 females) ranging in age from 266 postconception days to 100 years. By examining 296 structural phenotypes across global, cortical, and subcortical measures, these models revealed widespread sex differences in maturational timing, with males reaching peak milestones later than females. These trajectories demonstrate that sex differences evolve dynamically, with phenotype-specific windows of emergence and maximal separation. Compared with conventional sex-pooled references, sex-specific models achieved superior predictive accuracy and reduced misestimation of individual deviations in healthy populations. Across five neuropsychiatric conditions, sex-specific models improved the detection of extreme deviations and revealed both shared and sex-dependent patterns of disorder-related neuroanatomical abnormalities. These sex-specific charts establish tailored normative references for assessing brain development, ageing, and disease.

neuroscience↗

bioRxiv2026

Spindle size scaling secures mitotic fidelity against whole-genome doubling-associated mechanical stress

Although whole-genome doubling (WGD) accompanies a drastic increase in chromosome number, post-WGD cells often continue to divide. How mitosis is sustained under increased chromosome number remains largely unknown. Here, we found that WGD cells require longer mitotic spindles than isogenic diploids to maintain spindle bipolarity. WGD increased mechanical stress on spindle poles during metaphase, associated with a higher risk of pole fragmentation. Disrupting kinetochore-microtubule attachment alleviated pole stress and fragmentation in WGD cells, suggesting that WGD-linked mechanical stress arises from spindle-chromosome interactions. Artificial spindle elongation reduced the pole stress and mitigated pole fragmentation defects in WGD cells. Our findings identify chromosome gain as a critical mechanical challenge to spindle organization and establish spindle size scaling as an adaptive mechanism that preserves mitotic fidelity after WGD.

cell biology↗

bioRxiv2026

Ligand-specific endothelial Notch signaling coordinates brain pericyte specification and expansion

Pericyte specification and expansion must be coordinated with vascular growth to establish a functional cerebrovascular network, yet how endothelial signals control these distinct developmental transitions remains incompletely understood. Here, using genetic manipulation, single-cell transcriptomic analysis, and longitudinal in vivo imaging in zebrafish, we identify ligand-specific endothelial Notch signaling as a mechanism coordinating brain pericyte development. Endothelial Jag2b is required for efficient pericyte specification from pericerebral progenitor pools and subsequently promotes Notch-dependent pericyte proliferation and population expansion. By contrast, endothelial Dll4 restrains pericyte proliferation and functionally opposes Jag2b-dependent expansion, demonstrating that distinct endothelial Notch ligands generate different developmental outputs. Endothelial Notch activation increases jag2b expression, and genetic interaction analyses establish Jag2b as an important mediator of Notch-dependent pericyte expansion. Moreover, genetic disruption of piezo1 reduces brain pericyte abundance, whereas endothelial jag2b expression rescues this phenotype, placing Jag2b downstream of Piezo1-dependent hemodynamic signaling. Together, these findings reveal a ligand-specific endothelial Notch program that integrates hemodynamic cues with endothelial-pericyte communication to coordinate the specification and expansion of brain pericytes during cerebrovascular development.

developmental biology↗

bioRxiv2026

The fusion gene occurrence spectrum predicts the spatial structure of chromosomes

Chromosome was "self-assembled" into a complex three-dimensional topology in the nucleus, which provided the structural basis for important biological processes such as gene expression regulation and cell differentiation. The current understanding of the three-dimensional organization of the genome is based on high-throughput sequencing and imaging technologies to visualize the conformation of chromatin in its native environment. This study proposes a new research perspective and technical means to use fusion genes to determine the interaction information and three-dimensional structure of chromosomes. This three-dimensional information provided by the fusion gene spectrum not only shows the universality of the spatial layout of chromosomes, but also increases the interpretability of the occurrence of fusion genes. The chromatin conformation capture data of multiple tissues and periods is significantly correlated with the strength of fusion genes. For example, the frequency of trans-interaction between chromosomes 11 and 17 was the highest, and the frequency of fusion gene occurrence corresponding to KMT2A on chromosome 11 was the highest. Therefore, we infer that this structural universality is a common feature of the human genome, which provides a theoretical basis and data for predicting chromosome fusion events.

cancer biology↗

bioRxiv2026

Impaired astrocytic Cx43 syncytial network in lateral habenula affects synaptic connectivity and drives adolescent stress-induced depression

Adolescent depression is a major neuropsychiatric disorder induced by early life stress; the underlying cellular mechanisms instigating pathological circuit malformation remain unclear, and, consequently, effective therapeutic strategy is limited. Here, we analysed the contribution of astrocytes to early life stress-induced adolescent depression using a mouse model of parental separation. We identified a previously unrecognised regional specialisation of lateral habenula (LHb) astrocytes, characterised by compact cellular domains, abundant leaflets, and enhanced Cx43 gap junctional coupling. Parental separation selectively reduced astrocytic Cx43 expression and gap junctional communication in the LHb, which was accompanied by profound astrocytic atrophy and loss of leaflets. Single-cell sequencing further revealed that parental separation induces a broad reorganisation of LHb astrocyte transcriptional states, including metabolic, stress-response, and inflammatory programs; moreover, it specifically reduces astrocyte-neuron communication. Consistent with this, we found that structural remodelling of LHb astrocytes affected tripartite synapse geometry, resulting in impaired excitatory and inhibitory synaptic transmission, and neuronal Ca2+ hyperexcitability, all ultimately associated with depressive-like behaviours. Selective knockdown of astrocytic Cx43 in the LHb recapitulated these pathological changes and translated into depressive-like behaviours. Mechanistically, we found that impaired Cx43 gap junctional communication is associated with excessive astrocytic Ca2+ dynamics, resulting in Rac1-GTPase activation and decreased p-Ezrin levels. In vivo inhibition of LHb astrocytic Ca2+ signalling rescued astrocytic atrophy and depressive-like behaviours following parental separation. Together, our findings establish a Cx43-Ca2+-Rac1-p-Ezrin pathway that links gap junction malfunction to structural remodelling of astrocytes and disruption of neuron-astrocyte interactions in the developing LHb. Our study reveals astrocytic Ca2+ dysregulation as an active downstream effector of Cx43 dysfunction and identifies a regionally specialised astrocytic mechanism through which early-life stress disrupts synaptic transmission and neuronal function during adolescence, providing a potential cellular target for intervention in adolescent depression.

neuroscience↗

bioRxiv2026

A genome-wide CRISPR knockout screen identifies host dependency factors and potential viral-induced cell death regulators for porcine deltacoronavirus infection

Porcine deltacoronavirus (PDCoV) is a globally circulating coronavirus of swine that causes severe enteric disease and mortality in neonatal piglets. Its broad host range and zoonotic potential raises concerns about continued spillover into human populations. However, the host factors that govern PDCoV infection remain largely unexplored. Identifying host factors involved in virus infection may uncover novel therapeutic targets for antiviral drug development or targets for gene editing to create resistant pigs. Here, we conducted a genome-wide CRISPR knockout (GeCKO) screen to identify host factors contributing to PDCoV infection in swine testicular (ST) cells. Small guide RNAs (sgRNAs) targeting the ANPEP gene, expressing the main receptor porcine aminopeptidase N for PDCoV, were enriched in PDCoV-resistant cells, demonstrating the validity of the screen. Moreover, we identified transmembrane protein 30A (TMEM30A), an accessory {beta}-subunit of the P4-ATPase flippase complex, as a host dependency factor for PDCoV infection along with several potential PDCoV-induced cell death regulators, including DET1, IFNAR1, RFWD2, STAT1 and TP53. We further demonstrated that PDCoV attachment and internalization into cells were significantly impaired in TMEM30A knockout ST cells, suggesting that TMEM30A is important in the early stages of the PDCoV life cycle. Because TMEM30A also contributes to SARS-CoV-2 replication, future studies are warranted to investigate its mechanistic role in the context of coronavirus infection.

molecular biology↗

bioRxiv2026

Octave: Scale-resolved Evaluation of Spatial Gene Expression Prediction from Histology

Spatial gene expression prediction from histology is typically evaluated by the mean per-gene Pearson correlation (PCC). PCC does not distinguish spatial scales: coarse tissue organization alone can earn most of the score. A domain oracle makes this precise: given an image-derived partition of the tissue, the predictor that assigns each domain its measured mean expression is the best that any predictor constant on that partition can do. On a widely used benchmark with a ~100 um pitch, a learnable version that estimates each domain mean from training data reaches 82% of the PCC of a trained model, and a partition of the spot coordinates alone, given measured means, reaches 123%. At that pitch the score rewards coarse spatial structure whatever its source. We introduce OCTAVE, a scale-resolved evaluation that filters prediction and measurement into spatial bands with widths in micrometers and scores their agreement in each band. On 16 um Xenium data, differences that look modest under PCC grow at finer scales: at ~20 um the oracle shortfall relative to the trained model is 2.4 times its PCC shortfall at the median and exceeds it in all 13 specimens. Across 57 image encoders the finest band reorders 261 of the 1596 encoder pairs relative to PCC. The benchmark own finest band is 50 um wide, coarser than the scale at which these differences appear, so no score on that pitch can directly validate finer structure. OCTAVE reports how well a model predicts spatial expression at each spatial scale.

bioinformatics↗

bioRxiv2026

The multiscale architecture of trait aggression: from meta-analytic convergence to multimodal characterization

Background. Trait aggression shows substantial interindividual variability, yet its neurobiological architecture across structural, functional, molecular, and macroscale organizational levels remains poorly understood. Methods. We developed a convergent multiscale framework to characterize the neurobiological architecture associated with trait aggression. We first integrated a large-sample voxel-based morphometry analysis (n = 922) with published neuroimaging studies using two complementary coordinate-based meta-analytic approaches, activation likelihood estimation and seed-based d mapping (total N = 3,671). Convergent meta-analytic findings were subsequently mapped onto functional connectivity networks, and their molecular signatures were characterized using imaging transcriptomics and neurotransmitter mapping. Finally, we examined whether the spatial organization of aggression-related networks was embedded within intrinsic multimodal brain hierarchies spanning morphometric, functional, transcriptomic, and neurochemical dimensions. Results. Across complementary analyses, trait aggression converged on a reproducible structural-functional network centered on the dorsomedial prefrontal cortex and dorsal anterior cingulate cortex. This architecture exhibited distinct molecular signatures, including gene-expression patterns enriched for synaptic functions and robust spatial associations with serotonergic, dopaminergic, and noradrenergic transporter systems. Moreover, the spatial organization of the aggression-related functional network was systematically predicted by the brain's intrinsic multimodal gradients, indicating that it is embedded within broader principles of cortical hierarchical organization. Conclusions. these findings move beyond the localization of aggression to discrete brain regions and identify a reproducible multiscale architecture linking aggression-related structural variation to functional network organization, molecular signatures, and the brain's intrinsic multimodal hierarchy. This integrative framework provides a systems-level account of the neurobiological basis of individual differences in trait aggression.

neuroscience↗

bioRxiv2026

Immune Reconstitution and Antigenic Exposure History Shape Virus-Specific Humoral Immunity in People with HIV

CD4+ T-cell recovery is widely used to assess immune reconstitution in people with HIV, but its relationship to virus-specific humoral immunity across pathogens remains unclear. We characterized neutralizing activity against SARS-CoV-2, HIV-1, and influenza viruses in ART-treated, virologically suppressed individuals spanning distinct CD4+ T-cell levels. BA.5 was the dominant SARS-CoV-2 neutralization target across CD4 strata, whereas D614G neutralization increased with greater immune reconstitution. This gradient was largely absent for the antigenically divergent NB.1.8.1 and XFG variants. HIV-1 neutralization was inversely associated with CD4+ T-cell count, while influenza showed strain-dependent patterns. Neutralization-to-protection bridging preserved a CD4-associated gradient for D614G but not for highly immune-evasive variants. These findings show that immune reconstitution does not translate uniformly into antiviral humoral function. Instead, antibody profiles reflect host immune status, prior antigenic exposure, and viral antigenic evolution, supporting pathogen-specific functional assessment alongside conventional immune monitoring.

immunology↗

bioRxiv2026

High-resolution mapping of RNA structural maturation during Cas9 assembly with ABEL-FRET

The structural flexibility of RNA is essential for forming ribonucleoprotein (RNP) complexes, which regulate diverse biological processes. This intrinsic property permits RNA to act as a dynamic scaffold along the assembly pathway as it folds into a specific structure for initial recognition by protein and undergoes conformational rearrangements for functional maturation as a complex. Yet, RNA flexibility and RNP multicomponent assembly create significant obstacles for traditional structural methods. To overcome these challenges, we applied recently developed ABEL-FRET spectroscopy to measure tether-free single-molecule Forster resonance energy transfer (smFRET) over extended observation times. Furthermore, ABEL-FRET enables the unique ability for simultaneous measurements of ultrahigh resolution smFRET and hydrodynamic size of individual complexes, which offers distinct advantages for studying dynamic RNA molecules that undergo assembly via sequential binding events. Using ABEL-FRET, we explored how the guide RNA (gRNA) of CRISPR genome editing system folds and modulates its structural flexibility to carry out the roles required for each assembly state from its unbound apo form to the functional Cas9 RNP state for target DNA cleavage. Multi-perspective view of gRNA structure gained by probing its two primary functional domains enabled to capture dramatic changes in gRNA flexibility that are highly dependent on its specific structural domains as well as assembly states. Collectively, our work with ABEL-FRET highlights the intrinsic link between the structural flexibility of RNA and its functionality in RNP assembly.

biophysics↗

bioRxiv2026

Uncertainty-Guided Decision-Making in Bumble Bees

The evolutionary origins of cognitive monitoring remain contested. Metacognition, the capacity to monitor one's own cognitive states, has long been linked to complex vertebrate brains, yet whether a miniature brain can evaluate the reliability of its internal representations is unknown. Here we demonstrate that bumble bees engage in uncertainty-guided decision-making. Bees dynamically adjusted opt-out choices according to perceptual difficulty, settling for a smaller guaranteed reward to avoid errors, and actively paid a reward cost to seek information under uncertainty. Without any retraining, bees transferred this 'opt-out-under-uncertainty' rule to novel tactile and working-memory tasks under an all-probe design. This strategy was stable across individuals and accurately captured by a confidence-based decision model. Our findings suggest that a brain of approximately one million neurons can support an abstract domain-general uncertainty-monitoring policy, indicating that the neural substrates for uncertainty-guided decision-making may be far more ancient and widely distributed than previously assumed.

animal behavior and cognition↗

bioRxiv2026

Precision cooling assists electrical stimulation: Breaking selectivity barriers in nerve control

Peripheral neuromodulation can relieve pain through sensory activation or conduction block. However, electrical stimulation of mixed nerves couples these intended effects to unwanted neural activity. Here we demonstrate local cooling can separate targeted from off-target neural activity. In the rat sciatic nerve, precooling reduced the onset response to kilohertz-frequency stimulation by about 90% and maintained block in the target pathway during rewarming. During low-frequency stimulation, spatially graded cooling suppressed A{delta} enriched activity and blocked nontarget propagation. This produced a directional, A{beta} biased afferent output. A cooling-electrical neural digital twin predicted both responses and linked them to field-edge transition dynamics and spatially separated control of recruitment and conduction. These findings provide a mechanistically grounded route beyond the targeting limits of electrical stimulation alone.

bioengineering↗

bioRxiv2026

Paired exposure to blue light and nutrient alters subsequent photo-avoidance in Physarum polycephalum

Whilst forms of non-associative learning such as habituation are widely reported in single-celled organisms, whether associative learning is possible in systems without a nervous system is contested. In this study, we implemented a conditioning paradigm in the acellular slime mould Physarum polycephalum through repeated pairings of nutrients with an aversive blue light stimulus. We first established that blue light is aversive under our conditioning protocol, slowing migration and producing broader, less directed growth, confirming its well documented effect on behaviour. Subjects were then trained in up to four training sessions by placing an oat stimulus inside a region with blue light before testing with the light presented alone. Trained subjects were more likely to reach the blue light region compared to untrained controls, with shorter latency, suggesting that Physarum weakens its avoidance of blue light after the region has repeatedly coincided with a nutrient. However, engagement did not strengthen with additional pairings, a pattern that admits multiple competing explanations in which associative and non-associative processes plausibly contribute to more transient associative-like effects. We conclude that a history of co-presentation is sufficient to relax an aversive response in Physarum but cannot, within the present study, attribute that change to associative learning.

animal behavior and cognition↗