Biology subjects

Xu, Y.

Publications and source records attributed to Xu, Y..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Haplotype-resolved genome assembly of barberry reveals structural divergence and allele-specific expression during infection by wheat stripe rust pathogen

Barberry is an ecologically and medicinally important perennial shrub and an alternate host of Puccinia striiformis f. sp. tritici (Pst), the causal agent of wheat stripe rust. However, its genome architecture and molecular responses to Pst infection remain poorly understood. Here, we generated a haplotype-resolved, chromosome-level genome assembly of Berberis aggregata using PacBio HiFi and Hi-C sequencing. The two haplotypes, Ba5A and Ba5B, were assembled into 14 pseudochromosomes each, with genome sizes of approximately 1.13 and 1.16 Gb, respectively, and showed high continuity and completeness. Comparative analyses revealed extensive divergence between the haplotypes, including widespread structural variation, substantial hemizygosity, and TE-rich, gene-poor non-alignable regions. Haplotype-specific hemizygous genes also exhibited distinct functional biases, with Ba5A enriched in immune-related processes and Ba5B associated with transport and cell-envelope functions. Dual RNA-seq across infection stages revealed stage-dependent host transcriptional reprogramming, characterized by early pathogen perception followed by stronger defense activation and photosynthesis repression, whereas Pst displayed a coordinated colonization program consistent with its biotrophic lifestyle. Allele-specific expression analysis showed that ~25-28% of genes exhibited significant haplotype-biased expression, and a subset transitioned from unbiased expression at 0 dpi to Ba5A- or Ba5B-biased expression during infection. Integration with differential expression analysis further identified infection-responsive induced-biased genes associated with defense-related processes, including responses to fungal pathogens. These findings show that haplotype divergence and dynamic allele-specific regulation jointly contribute to transcriptional responses during Pst infection, providing new insights into the genomic basis of barberry-rust pathogen interactions.

genomics↗

bioRxiv2026

Whole-body Super-resolution Functional and Molecular Imaging with Panoramic Photoacoustic-Ultrasound Tomography

Photoacoustic (PA) and ultrasound (US) imaging provide complementary molecular, functional, and anatomical contrasts. Here, we present a panoramic PA-US imaging platform that integrates multispectral PA computed tomography (PACT) along with reflection-mode and transmission-mode US imaging through a single shared full-ring ultrasound array. We employ an ultrafast planewave transmission scheme in reflection-mode US for power Doppler (PWD) imaging and ultrasound localization microscopy (ULM). Additionally, we use the transmission-mode US to reconstruct a spatially resolved speed of sound (SoS) map that corrects both PA and US reconstruction. Such correction sharpens the resolution of PACT, suppresses the artifacts of PWD, and improves microbubble localization of ULM. Elevational scanning further enables whole-body volumetric imaging with co-registered PA and US contrasts. The integrated system maps photoswitchable DrBphP1-expressing tumors alongside their blood perfusion and oxygenation environment. Applying the platform to monitor unilateral renal ischemia-reperfusion injury, we report that microvascular perfusion and renal oxygenation recover at different rates. Collectively, we demonstrate that the integrated PA-US imaging platform provides a unified framework for multiparametric study of anatomy, perfusion, microvascular flow, oxygenation, and molecular activities.

bioengineering↗

bioRxiv2026

The common evolution of fungicide persistence in cryptococcosis patients

Fungicide persistence, the ability of dormant fungal cells to survive lethal drug exposure, undermines treatment efficacy, yet its clinical evolution remains largely unexplored. We assembled a nationwide collection of clinical Cryptococcus neoformans isolates from China and revealed extensive inter strain variation in amphotericin B (AmB) persistence. This variation can arise from common evolutionary events in patients, generating previously undescribed high persistence cryptococcal variants refractory to AmB clearance. Genome wide fitness landscape analysis shows that persistence associated mutations generally impose minimal fitness costs, facilitating persistence evolution even in fungistatic resistant and hypervirulent genetic backgrounds. Machine learning identified deficient ACO2 expression as a key predictor of high persistence clinical isolates. ACO2 deficiency reproduces the high persistence phenotype by promoting POPC accumulation, which competes with AmB for its target. Moreover, the clinical stage antifungal T-2307 effectively eliminates high persistence strains across diverse genetic backgrounds. Collectively, our findings unveil common evolution of fungicide persistence in cryptococcosis patients, representing a previously overlooked clinical concern.

microbiology↗

bioRxiv2026

Spatial immune ecosystems govern therapeutic response in HER2-low breast cancer

HER2 low breast cancer represents a clinically important but biologically heterogeneous disease state, and the spatial immune programs underlying therapeutic response remain poorly understood. Here, we used single-cell spatial transcriptomics to characterize HER2 low and HER2 high breast tumors and define microenvironmental features associated with treatment sensitivity and resistance. We identified diverse malignant, stromal, and immune compartments, with dendritic cells emerging as a highly remodeled population in HER2 low tumors. Focused analysis resolved distinct dendritic cell states, including homeostatic cDC2, IFN activated mature cDC, classical functional cDC2, plasmacytoid DC, and ITGAX positive monocyte derived DC populations. Spatial proximity analysis further revealed that resistant HER2 low tumors exhibited increased segregation of tumor epithelial cells from effector immune populations and enrichment of myeloid-rich immune niches, consistent with an immune-restricted spatial architecture. Independent TCGA BRCA validation confirmed the clinical relevance of these dendritic-cell states, with elevated homeostatic cDC2 signatures predicting poor survival, whereas inflammatory dendritic cell signatures were associated with favorable outcomes. Resistant HER2 low tumors were characterized by enrichment of homeostatic and classical cDCs, depletion of IFN-activated cDCs and pDCs, altered tumor myeloid T cell communication, and expansion of spatially organized resistant niches, whereas sensitive tumors retained immune-intermixed niches enriched for antigen presentation and effector immune interactions. Together, these findings demonstrate that therapeutic resistance in HER2 low breast cancer is driven by coordinated spatial remodeling of dendritic-cell states and immune architecture, identifying dendritic cell myeloid niche organization as a potential biomarker and therapeutic vulnerability.

cancer biology↗

bioRxiv2026

Pre-existing antibiotic tolerance facilitates plasmid-mediated carbapenem resistance evolution in clinical Klebsiella pneumoniae

Antibiotic tolerance enables bacteria to survive bactericidal antibiotic exposure and has been linked to resistance evolution in laboratory systems and individual infections, but its role in plasmid-mediated resistance evolution in clinical populations remains unclear. Here, we analyzed a longitudinal collection of more than 800 clinical Klebsiella pneumoniae isolates spanning 1997-2020. Among 779 minimum inhibitory concentration (MIC)-defined ertapenem-susceptible isolates, 137 (17.6%) displayed hidden ertapenem tolerance, defined by enhanced survival after 6 h at 30 times the isolate-specific ertapenem MIC, mostly without extended lag time or reduced growth rate. Tolerance was detected before local ertapenem introduction and was enriched among ertapenem-resistant isolates, supporting a population-level association between pre-existing tolerance and the emergence of carbapenem resistance. Genomic and plasmid-curing analyses separated plasmid-mediated carbapenem resistance from plasmid-independent antibiotic tolerance. Moreover, tolerant recipient backgrounds enhanced resistance plasmid acquisition, preserved viable recipients following antibiotic exposure and accelerated ceftazidime-avibactam resistance evolution. A phylogeny-guided variant-enrichment analysis further identified the uhpABC regulatory operon as a candidate tolerance-associated locus, and coordinated expression of the complete operon increased ertapenem survival. Together, these findings identify clinical antibiotic tolerance as a pre-existing, MIC-hidden phenotype that can facilitate plasmid-mediated carbapenem resistance evolution in K. pneumoniae.

microbiology↗

bioRxiv2026

Evolution profile of 13415 SNVs in 33 language/cognition genes measured by five types of distance calculation

This study aims to quantify the genetic similarity of different species (from fish to humans) to the human reference genome (pp6, Homo sapiens.GRCh38) based on the allele presence/absence patterns of 13,415 SNV loci from 33 language/cognition-related genes, identify key breakpoints during evolution, and evaluate the enrichment of language and cognition genes at these breakpoints. We designed a similarity calculation method relying on binary features (four columns for A/T/C/G), adopted five difference/distance measures (Sorensen, Rogers, Nei, Reynolds, and Hellinger), and converted them into similarity values (1/(1+distance)). For each method, samples were independently ranked, the first derivative of similarity was computed, and the top 12 peaks were selected as candidate breakpoints. Results show that the similarity curves from the five methods are highly consistent (correlation coefficients >0.9), with major peaks concentrated at positions 355, 363, 381, 382, 390, 400, etc., where the corresponding samples are predominantly ancient hominins and primates. Furthermore, we defined 13 peak groups (starting positions 355-401). For each peak within a group, pairwise SNV differences between the peak apex sample and its immediate left neighbor were compared, and the intersection F_INTERSECTION (shared differential loci) was obtained. For each F_INTERSECTION, we calculated the proportions of language genes and cognition genes. In addition, we computed the differential sets between adjacent groups' F_INTERSECTION to trace the gradual emergence of new loci. In F_INTERSECTION, language genes accounted for an average of 59.5%, and cognition genes for an average of 62.9%. The proportion of language genes reached a peak at position 383 (61.2%), while cognition genes peaked at position 386 (64.9%). High-frequency peak samples include c25, c27, and ja2, suggesting that language-cognition genes may have undergone independent intensification during Eurasian evolution. Differential analysis between adjacent F_INTERSECTION revealed a stepwise acquisition of new loci from position 355 to 401, with three bursts of newly added loci along the entire evolutionary axis. These molecular patterns carry implications beyond evolutionary genetics. The absence of robust enrichment for either language or cognition genes at any breakpoint is compatible with the hypothesis that language and cognition are not separable functional modules, but rather constitute an integrated symbolic-cognitive system. This distinction matters for artificial intelligence research: if language, understood as an internal symbolic system, is inseparable from cognition, then treating large language models' linguistic performance as a direct proxy for cognitive capacity may be theoretically problematic. The present study therefore provides not only a quantitative evolutionary framework based on similarity curves, but also a methodological caution for AI foundations-namely, that the competence-performance distinction must be carefully preserved when interpreting what large language models can and cannot do. The results highlight the potential importance of East Asian archaic hominins in the evolution of language-cognition genes, and suggest that future AI research may benefit from distinguishing between the mastery of deep symbolic regularities (closer to I-language) and the imitation of surface statistical patterns (closer to externalized behavior).

molecular biology↗

bioRxiv2026

NACraft: Programmatic nucleic-acid aptamer design via all-atom structure-model feedback

Protein-nucleic-acid interactions underpin diverse biological processes and provide a basis for molecular sensing, regulation and therapeutic intervention. However, the coupled dependence of aptamer function on nucleotide sequence, three-dimensional folding and target binding makes rational RNA and DNA binder design challenging. Here we present NACraft, a training-free and programmatic framework for all-atom nucleic-acid aptamer design based on backpropagation through structure-model feedback. By composing binding, sequence-similarity and anti-binding constraints, NACraft supports de novo generation, similarity-guided sampling and target-selective design within a unified optimization framework, without task-specific training or fine-tuning. Computational experiments showed that NACraft generated high-confidence candidates de novo across diverse protein targets, with further improvements achieved through similarity-guided design for both RNA and DNA complexes. Its target-selective design capability was further validated in silico, with 69.44% of paired candidates generated to favour the positive target EGFR over the off-target HER2. Under matched independent AlphaFold3 evaluation, NACraft achieved better performance than ODesign in 10 of 11 NA-12 targets and 17 of 20 protein target-length settings. Together, these results demonstrate the effectiveness and versatility of NACraft and extend structure-model hallucination toward programmatic nucleic-acid aptamer design. Codehttps://github.com/OTEAM-AI4S/NACraft

bioinformatics↗

bioRxiv2026

Within-Subject Optogenetic Model Reveals Spatiotemporal Cortical Reorganization in Artificial Vision

Visual prostheses can elicit simple percepts such as letter forms through dynamically patterned stimulation, yet naturalistic dynamic vision remains out of reach despite hardware fully capable of high-resolution temporal control. This persistent gap suggests the bottleneck lies in how artificial input is represented by the cortex itself. A fundamental question remains unresolved: when artificial vision bypasses natural retinal encoding, what is lost in cortical representation? We address this question in this paper using a retinal optogenetic mouse model that isolates the consequence of bypassing retinal encoding while preserving downstream pathways. Using within-subject V1 cortex electrophysiology and CNN-based decoding under identical dynamic stimuli, we reveal dissociable, dimension-specific gaps. Temporally, artificial vision bypassed the frequency-dependent compression imposed by natural vision, extending stimulus-locked entrainment bandwidth. Spatially, direction-selective representations underwent systematic remapping, with disrupted phase organization and reduced encoding regularity. These findings show that bypassing natural retinal encoding reorganizes cortical representation along dissociable spatiotemporal dimensions, establishing a within-subject framework that renders such structural divergences easy to locate and quantifiable.

bioengineering↗

bioRxiv2026

Heart rate dynamics embed a shared representation of individual brain organization and cognitive function

Idiosyncratic brain functional organization shapes intricate cardiac dynamics through central-peripheral autonomic interactions, yet a comprehensive mapping between multi-scale heart rate dynamics and whole-brain functional architecture remains lacking. Here, combining highly comparative time-series analysis with multi-modal neuroimaging and intracranial electrophysiology, we establish heart rate dynamics as a physiological fingerprint that maps onto whole-brain functional architecture. Partial least squares analysis revealed a generalizable latent axis linking reduced heart rate temporal complexity and elevated micro-scale predictability to heightened resting-state functional connectivity across default mode, salience, and sensorimotor networks. This covariance aligns spatially with serotonergic, noradrenergic, and cholinergic neuromodulatory gradients, persists across physiological confound controls and cross-session validations, derives support from human intracranial electrophysiological recordings, and extends to active cognitive states. Furthermore, brain-covarying heart rate signatures underpin the predictive capacity of heart rate dynamics for individual fluid and crystallized intelligence, demonstrating a shared representational substrate. Our findings demonstrate a robust neurovisceral coupling architecture, establishing well-characterized heart rate dynamics as a scalable, neurobiologically anchored window into human brain functional organization and cognitive traits.

neuroscience↗

bioRxiv2026

Virtual spatial transcriptomics from histopathology enables prognostic and therapeutic response prediction in cancer

Spatial transcriptomics reveals cellular heterogeneity, intercellular communication, and tissue organization, but its cost and limited accessibility restrict clinical use. Here, we present VISTA, a model that integrates multi-scale histological features and spatial context to infer spatial gene expression from H&E-stained tissue images. Across leave-one-section-out cross-validation and independent validation, VISTA robustly predicted thousands of genes and outperformed state-of-the-art methods. Beyond expression reconstruction, VISTA enabled clinically relevant downstream analyses. In TCGA breast cancer samples, it identified survival-associated genes, stratified prognostic risk groups, and revealed adverse tumor-associated spatial subtypes. In our in-house intrahepatic cholangiocarcinoma cohort, it preserved tumor-normal organization and identified CLDN4 and CYP3A4 as complementary spatial biomarkers. In HER2+ breast cancer, it predicted pathological response to neoadjuvant trastuzumab-based therapy and linked response-associated regions to immune and cytokine-related programs. These results support virtual spatial transcriptomics from routine histopathology for oncology applications.

genomics↗

bioRxiv2026

Primary and higher-order thalamic nuclei make distinct contributions to cortical reorganization in congenital sensory loss

Early sensory loss transforms the functional organization of affected sensory systems, with regions that normally support vision or audition participating in noncanonical perceptual and cognitive functions. Such reorganization requires coordination across distributed networks. Higher-order thalamic nuclei are positioned to support these interactions through their widespread reciprocal cortical connectivity, yet studies of sensory-loss plasticity have focused primarily on cortex and first-order sensory pathways. Here, we combined structural and functional MRI in early blind and early deaf adults to test how reorganization after sensory loss is expressed across thalamocortical networks. In blindness, structural differences were concentrated along the primary input pathway, with reduced lateral geniculate nucleus volume that covaried with areal organization of primary visual cortex. Functional reorganization was more broadly distributed, with visual cortex showing greater similarity with higher-order (association) thalamic nuclei linked to cognitive control, paralleling a shift toward cognitive-control networks across cortex. This pattern was amplified during a nonvisual perceptual judgment task. Across visual cortex, cross-network functional differences were strongest in regions showing the largest structural effects. A related shift toward control-associated higher-order thalamus was observed in deafness, indicating that higher-order thalamic involvement generalizes across sensory modalities. Together, these results indicate that thalamocortical architecture shapes both the developmental consequences of early sensory loss and the capacity for distributed functional reorganization.

neuroscience↗

bioRxiv2026

Sex-Specific Remodeling Phenotypes of the Tricuspid Valve Leaflets in an Ovine Model of Functional Tricuspid Regurgitation

BackgroundModerate to severe tricuspid regurgitation (TR) affects approximately 1.6 million Americans, yet more than 90% of patients with significant TR remain untreated. Women exhibit higher TR prevalence and more rapid disease progression than men, but the valve-intrinsic mechanisms underlying these sex disparities remain unclear. We hypothesized that sex and circulating testosterone influence tricuspid leaflet remodeling during right-sided pressure overload. MethodsFemale, castrated male (C-Male), and non-castrated male (NC-Male) adult Dorset sheep (n = 45) underwent pulmonary artery banding (PAB) and were followed for 13 {+/-} 1.5 weeks. Tricuspid leaflets were evaluated using morphometry, 3D profilometry, biaxial mechanical testing, histology, and bulk RNA sequencing. Sex-stratified differential gene expression was performed, and pathway enrichment of key biological processes were compared between sexes. ResultsPAB produced a uniform hemodynamic stimulus and equivalent moderate-to-severe TR across sex groups. Despite similar TR burden, leaflet remodeling diverged substantially by sex and castration status. C-Males developed the broadest remodeling phenotype, characterized by diffuse multi-leaflet growth, thickening, increased nuclei count, and low-strain stiffening. Females demonstrated more restricted leaflet and region-specific structural and cellular changes, along with circumferential low-strain stiffening. NC-Males exhibited preferential septal remodeling characterized by growth, thickening, increased nuclei count, and radial high-strain stiffening. Transcriptomic analysis revealed that females upregulated a focused matricellular remodeling program enriched for extracellular space organization (67 DEGs; FDR=0.025), whereas C-Males activated coordinated extracellular matrix and apoptosis-regulatory programs (388 DEGs; FDR=0.009). In contrast, NC-Males exhibited broad transcriptional response (406 DEGs) without significant pathway enrichment. ConclusionsTricuspid leaflet maladaptation during pressure overload is sex-dependent and testosterone-sensitive, involving distinct structural, mechanical, and transcriptional remodeling programs. These findings identify sex and testosterone status as previously under-recognized modulators of tricuspid valve remodeling and may help explain clinical sex disparities in TR progression. NOVELTY AND SIGNIFICANCE What is known?O_LIPulmonary hypertension and right ventricular pressure overload are linked to tricuspid leaflet remodeling through leaflet thickening, enlargement, and altered mechanical properties. C_LIO_LISex and sex-steroid hormones regulate fibrosis and extracellular matrix remodeling in cardiovascular tissues, but their role in tricuspid leaflet remodeling remains poorly understood. C_LI What new information does this article contribute?O_LISex and circulating testosterone status influence the magnitude, spatial distribution, biomechanical behavior, and transcriptional organization of tricuspid leaflet remodeling during pressure overload. C_LIO_LIFemales, castrated males, and non-castrated males develop distinct remodeling programs characterized by focused matricellular remodeling, coordinated extracellular matrix/apoptosis signaling, and diffuse transcriptional activation, respectively. C_LIO_LIThese findings identify sex and hormonal status as biological regulators of tricuspid valve maladaptation during functional tricuspid regurgitation. C_LI SummarySex differences in tricuspid regurgitation progression are recognized clinically, yet the mechanobiological basis underlying these disparities remains poorly understood. Using a controlled ovine model of pressure overload-induced secondary tricuspid regurgitation, we demonstrated that tricuspid leaflet maladaptation is a sex-specific and testosterone-sensitive process spanning structural, mechanical, and transcriptional scales. Under comparable hemodynamic overload, all animals developed significant tricuspid regurgitation, but leaflet remodeling patterns diverged substantially across sexes. Castrated male sheep exhibited the broadest maladaptive phenotype, characterized by diffuse multi-leaflet growth and thickening, increased low-stretch stiffness, and coordinated extracellular matrix and apoptosis-regulatory transcriptional programs. Female sheep developed more spatially restricted remodeling accompanied by a focused matricellular and extracellular matrix secretory response, whereas non-castrated male sheep demonstrated selective leaflet remodeling with broad, but less coordinated, transcriptional activation. Different remodeling patterns emerged in females and castrated males despite comparable testosterone levels, suggesting that testosterone depletion alone does not fully explain these tricuspid valve remodeling phenotypes. These findings establish sex and testosterone status as previously underrecognized biological regulators of tricuspid leaflet maladaptation and support the emerging view that valve leaflets are active, mechanobiologically responsive, participants in functional tricuspid regurgitation progression.

bioengineering↗

bioRxiv2026

Locating Evolutionary Rate Inflection Points on Whole-Genome SNV Similarity Curves and Their Application in Identifying Key Mutations in Language/Cognition Genes

Language genes can be tentatively considered as a subset of cognitive genes, although they are often discussed separately. During the evolution of SNVs (single nucleotide variations) in cognition-related genes, do language genes and cognitive genes exhibit significantly different intensities of change at several key evolutionary moments--namely, the inflection points or derivative peak positions of similarity curves drawn from multi-SNV locus bases across samples? In this study, nine distance/similarity metrics (Bray-Curtis, Cosine, Pearson, Spearman, Hamming, Jaccard, Matching, Kulczynski, and Gower) were employed to analyze 413 samples from 11 taxonomic groups, targeting SNV loci in language/cognition-related genes (13,415 effective loci, approximately 400 loci per gene), with pp6 (Homo_sapiens.GRCh38) as the reference. For each method, sample similarities (defined as 1/(1+distance)) were independently sorted in ascending order to generate raw similarity scatterplots. Due to the large sample size and representativeness, the scatter density on the similarity curves was high, and no smoothing was applied. Derivative values were calculated from adjacent similarity differences to identify peaks of evolutionary rate change (top 10 peaks per method). Combined with functional annotations of 33 language/cognition-related genes, we quantified the difference scores and occurrence frequencies of the two gene categories at the peak positions. The results indicate that cognitive-related genes exhibit slightly higher occurrence frequencies in peak windows and higher average difference scores per gene than language genes. Comparative analysis of SNVs at the peak samples and their left-side windows revealed that at positions 381-382, all nine methods shared three intersecting mutation loci, involving language genes (NFXL1, SRGAP2, SRGAP2C); at positions 355-356, there was one intersecting mutation locus, involving a language gene (SRGAP2). This suggests that certain mutations in language genes may have played a distinctive role at critical junctures in the evolution of cognitive abilities.

molecular biology↗

bioRxiv2026

Sequence-dependent Stability and the Apparent Two-state Thermal Transition of Extended Collagen Triple Helices

The thermal stability of collagen triple helices is strongly influenced by the amino acid sequence of the repeating Gly-X-Y tripeptides, yet how these residue-specific interactions are integrated within an extended triple helix to determine thermal behavior remains poorly understood. Here, we addressed this question using recombinant collagen mimetic peptides (rCMPs) containing extended native sequences from the 1(I) and 2(I) chains of human type I collagen. Triple-helix formation was nucleated by a C-terminal foldon domain and further stabilized by interchain disulfide crosslinking, allowing the apparent melting temperature (T) to reflect interactions within the triple-helical domain independent of nucleation. The stabilizing effects of Pro and Y-position Arg identified in host-guest peptides were largely preserved in extended triple helices, whereas the proposed Lys-Gly-Glu (KGE) interchain salt bridge produced little measurable stabilization, demonstrating the influence of sequence context. Remarkably, identical triple-helical sequences exhibited markedly different thermal behavior when unfolding was initiated under different conditions. Nevertheless, extended triple helices differing substantially in sequence and length retained an apparently two-state thermal transition. These findings support a mechanism in which unfolding is preferentially initiated within regions of lower intrinsic stability, while the continuity of the triple helix couples neighboring regions into a cooperative unfolding process throughout the helix. This mechanism provides a plausible explanation for the longstanding paradox that extended collagen triple helices exhibit persistent sequence-dependent thermodynamic heterogeneity despite a two-state thermal transition, and a framework for investigating how sequence-dependent stability contributes to the structure and function of collagen molecules. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=119 SRC="FIGDIR/small/741348v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@64f65borg.highwire.dtl.DTLVardef@69f999org.highwire.dtl.DTLVardef@181b647org.highwire.dtl.DTLVardef@e60ccf_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

The Live Concert of Brains: Performer-Audience Neural Coupling Links Ensemble Coordination to Shared Audience Integration

Collective social events often require coordinated action by one group to become shared experience in another, yet how this transformation is organized across multiple brains remains unclear. Live music provides a tractable model of this problem because ensemble coordination, performer-audience alignment, and shared audience integration unfold within the same event. Here we tested whether performer-audience neural coupling acts as a cross-role neural interface linking ensemble coordination to shared audience integration. We recorded brain activity from a nine-person live performance system, consisting of a fixed three-performer ensemble and four independent audience groups, using synchronized multi-device functional near-infrared spectroscopy hyperscanning across live trio performance sessions. Inter-brain neural coupling was analyzed across three relational layers: performer-performer (PP), performer-audience (PA), and audience-audience (AA) coupling. Behavioral ratings showed strong affective engagement and shared evaluative alignment. Neural coupling during live performance was not expressed as a diffuse increase across channel pairs, but was organized into task-sensitive relational components with interpretable PC-corr network modules. Crucially, path-based mediation analyses revealed that PA components statistically bridged PP coordination and AA coupling, yielding multiple complete and partial PP [->] PA [->] AA pathways. Brain-behavior analyses further suggested that mediation-related PA components were linked to shared performance evaluation and emotional alignment. These findings identify performer-audience coupling as a cross-role neural interface through which coordinated production becomes linked to shared collective reception. Significant StatementHow coordinated actions become shared experiences is a major problem in social neuroscience, yet most studies examine pairs of people. Using live music as a model of group interaction, we found that brain-to-brain alignment was organized across social roles rather than arising as a uniform response to the same event. Performer-audience alignment occupied a bridging position between coordination within the ensemble and integration within the audience. This identifies a systems-level architecture through which collective action may become linked to collective experience. The framework moves multi-brain research beyond dyads and offers a general approach for studying classrooms, public speaking, theater, rituals, and team events, where one group generates structured behavior that another group jointly receives and interprets.

neuroscience↗

bioRxiv2026

Gp130 Orchestrates a Bidirectional Neuron-Microglia Circuit for neuroprotection

Acquired central nervous system (CNS) injury is one of the most common neurological conditions globally, yet effective treatment options are lacking. As the main tissue-resident macrophages of the CNS, microglia have emerged as key functional regulators of CNS repair. However, means to induce neuroprotective microglia and harness their intrinsic repair capabilities have remained elusive. Here we identify gp130 as a key receptor molecule for facilitating bidirectional microglia-neuron communication that improves outcomes from CNS injury. We show that activation of gp130 in CNS-resident microglia triggers the secretion of leukemia inhibitory factor (LIF), a neurotrophic cytokine. LIF induces neuronal IL-6 secretion that then acts back onto the microglial gp130 receptor, thus creating a neuroprotective loop. We demonstrate the broad therapeutic potential of acute gp130 activation across multiple models, including traumatic brain injury, stroke, and spinal cord injury, and that this pathway can be leveraged therapeutically with designer cytokines.

neuroscience↗

bioRxiv2026

Compact red-shifted near-infrared fluorescent proteins enable deep-tissue SWIR imaging with in vivo optical clearing.

Compact fluorescent proteins (FPs) with red-shifted emission are needed for deep-tissue short-wavelength infrared (SWIR) imaging. We engineered a GAF domain from the JSC1 cyanobacteriochrome of thermophilic Leptolyngbya sp. into three monomeric, biliverdin-binding FPs of 19.1 kDa: miRFP729nano, miRFP732nano and miRFP735nano, with excitation/emission maxima of 714/729, 716/732 and 719/735 nm, respectively. Their off-peak fluorescence beyond 1,000 nm was several-fold higher than that of miRFP718nano previously used for SWIR imaging. miRFP732nano functioned as a fusion tag, a component of target-stabilized nanobodies, and a reporter of NF-{kappa}B and AP-1 transcriptional activities. It enabled single-laser, dual-color three-photon imaging with EGFP to depths of [~]950 m in cortex and [~]300 m in spinal cord. In mice, miRFP732nano supported SWIR imaging of skeletal muscle, inflammatory signaling and intracellular targets. Combining SWIR detection with biocompatible 4-aminoantipyrine-based in vivo tissue clearing enhanced signal and image sharpness. These red-shifted NIR FPs expand the genetically encoded toolkit for deep-tissue imaging.

bioengineering↗

bioRxiv2026

Phenotype-driven de novo molecular design from gene expression signatures

AO_SCPLOWBSTRACTC_SCPLOWTarget-based and structure-guided drug design remain central to modern drug discovery, but complementary strategies are needed when predefined targets or binding pockets do not fully capture disease biology. Gene-expression signatures provide scalable system-level readouts of disease and perturbation states, making them attractive inputs for phenotype-guided molecular design. However, preserving phenotypic information during molecular generation remains challenging, and chemically plausible molecules may lose connection to the intended biological response. Here, we present Tx2Mol, a transcriptome-guided framework that translates gene-expression signatures into candidate molecules while maintaining biological guidance throughout generation. We evaluated Tx2Mol across three biological settings: bulk gene perturbation, single-cell perturbation, and patient-derived disease signatures; and three validation dimensions: chemical plausibility, structural compatibility, and phenotypic preservation. Across 10 cancer-relevant bulk gene-perturbation benchmarks, Tx2Mol outperformed 9 transcriptome-guided baselines, improving maximum Tanimoto similarity to known ligands by 24.10% on average and by 50.67% on HDAC1. Structure-based analyses further supported structurally novel candidates with favorable predicted target binding. Tx2Mol also generalized to noisy single-cell perturbation profiles and preserved drug-induced transcriptional responses through in silico drug-perturbation validation. Patient-derived disease signatures further guided molecular generation toward approved-drug chemical space. Together, these results support gene-expression phenotypes as actionable guidance signals for phenotype-directed molecular design and candidate prioritization.

bioinformatics↗