Biology subjects

Zhou, S.

Publications and source records attributed to Zhou, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Loss of CD109 Amplifies NF-κB Signaling and Inflammatory Reprogramming in Dermal Fibroblasts

Fibroproliferative diseases such as systemic sclerosis are complex conditions characterized by chronic skin inflammation and progressive fibrosis, with fibroblast activation as a central feature. While Transforming Growth Factor Beta (TGF-{beta}) signaling is a well-established driver of fibrosis in SSc, inflammatory pathways such as Nuclear Factor Kappa B (NF-{kappa}B) also contribute substantially to disease morbidity. We previously identified CD109 as a TGF-{beta} co-receptor and negative regulator of fibrotic signaling; however, its role in inflammatory signaling remains unknown. Here, we investigate the function of CD109 in regulating inflammatory signaling in skin fibroblasts. We show that, CD109 co-localizes and associates with Toll-like receptors (TLR2, TLR4) and tumor necrosis factor receptors (TNFRI, TNFRII), and that loss of CD109 enhances TNF--induced NF-{kappa}B activation and reprograms cytokine production in human dermal fibroblasts. Furthermore, both global and fibroblast-specific CD109 knockout mice exhibit increased immune cell infiltration and skin inflammation. In parallel, single-cell transcriptomic analyses across a pan-disease fibroblast atlas show that CD109 expression is preferentially maintained in structural and homeostatic fibroblast subtypes, whereas immune-interacting fibroblast subsets consistently display decreased CD109 levels. Pathway-level analyses of fibroblast pseudobulk samples reveal altered activity of canonical inflammatory pathways in SSc compared to healthy skin. Together, these findings identify CD109 as a fibroblast-intrinsic negative regulator of inflammatory signaling and suggest a broader role for CD109 in modulating inflammatory responses in systemic sclerosis. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/736423v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@ba5107org.highwire.dtl.DTLVardef@1de28aorg.highwire.dtl.DTLVardef@3e8a6org.highwire.dtl.DTLVardef@9f1a82_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract: CD109 Restrains Fibroblast-Driven Inflammation by Modulating NF-{kappa}B Signaling. Generated using FigureLabs.ai and edited using Adobe Photoshop. C_FIG

cell biology↗

bioRxiv2026

CryoDiff: An uncertainty-aware diffusion model for Cryo-EM map enhancement

Cryogenic electron microscopy (cryo-EM) enables high-resolution structural determination of large macromolecular complexes. However, the interpretability of cryo-EM maps is often hindered by substantial background noise and signal attenuation, which obscure structural details. Although existing post-processing methods can partially mitigate these artifacts, they typically suffer from over-smoothing and lack reliable confidence estimation. Here, we present CryoDiff, an uncertainty-aware diffusion model for cryo-EM map enhancement. CryoDiff employs a multi-step diffusion process to progressively denoise and restore high-resolution structural features. Importantly, CryoDiff incorporates a voxel-wise confidence metric derived from Monte Carlo sampling. It unifies map enhancement and voxel-level uncertainty estimation within a diffusion-based generative framework, representing the first approach to achieve such joint modeling for cryo-EM map enhancement. In comprehensive experiments, CryoDiff markedly out-performs existing methods in both map-model correlation and map interpretability, improving the average FSC0.5 metric by 0.356 [A] over state-of-the-art approaches. When applied to de novo model building with ModelAngelo, CryoDiff further increases model completeness by 5.5%, exceeding the gains achieved by competing method.

bioinformatics↗

bioRxiv2026

Candida albicans reprograms host inosine metabolism to drive immunosuppressive macrophage polarization and gastric cancer carcinogenesis

Gastric cancer (GC) is strongly associated with changes in the gastric microbiome. However, the direct contribution of individual pathogenic species to tumor initiation and progression remains poorly defined. Here, we identified Candida albicans (C. albicans), a fungus that ranks as the most significantly enriched taxon in GC tissues, can directly promote gastric carcinogenesis. We found that when C. albicans alone was colonized into the gastric mucosa of mice, it induced the complete sequence of GC-associated preneoplastic lesions, including chronic gastritis, mucinous metaplasia, and atypical hyperplasia, with 16% of colonized animals progressing to low-grade intraepithelial dysplasia. In K19-C2mE transgenic mice, a model of spontaneous GC formation, infection with C. albicans significantly accelerated GC formation, with synergistic effects observed upon co-infection with the well-known gastric carcinogen, Helicobacter pylori. Mechanistically, C. albicans upregulated inosine levels in both gastric tissues and circulation. This inosine promoted polarization of macrophages toward an M2-like phenotype by activating the adenosine A2a receptor (A2aR), creats an immunosuppressive microenvironment that protects GC cells from the tumoricidal effects of anti-tumor immunity. Depletion of M2 macrophages or pharmacological inhibition of A2aR attenuated C. albicans-mediated tumorigenesis. Clinically, elevated inosine levels correlated with prior C. albicans exposure and poorer outcomes of GC patients. Our findings establish C. albicans as a direct pro-tumorigenic pathogen in GC and highlight the inosine-A2aR-M2 macrophage axis as a promising target for therapeutic intervention.

cancer biology↗

bioRxiv2026

Spatial Regulation of CAR Signaling Enables Logic-Gated Activity

Chimeric antigen receptors (CARs) can induce T cells to kill cancer cells but also to kill normal cells that express the same antigens1. Designing CARs to recognize combinations of antigens, via Boolean logic, can simultaneously expand the scope of targetable antigens and make CAR T cells more specific to cancer2. For example, one antigen may be expressed on cancer cells and normal bone marrow cells, while a second antigen may be present on the same cancer cells but only in normal lungs. If recognition of both antigens is required for T cell activation, only the cancer cells will be killed. Creating such AND-gated CAR T cells has been challenging given the need to engineer non-natural signaling mechanisms that integrate two ligand binding events into a single T cell activation stimulus3-6. Here, we design a fundamentally new AND-gated receptor called Multi-ANtigen Triggered Immune Synapse (MANTIS), which leverages differences in extracellular receptor dimensions to regulate CAR signaling. MANTIS initially prevents CAR activity by steric blocking with a bulky extracellular domain. Upon engagement of the first antigen, MANTIS sheds this blocking domain, releasing a free CAR that can bind a second antigen and activate the T cell in an AND-gated manner. This work demonstrates how differences in extracellular receptor size can be leveraged to spatially regulate intracellular signaling pathways in response to antigen patterns, paving the way for new applications in synthetic biology and cell engineering. One sentence summaryDifferences in extracellular size can be leveraged to regulate CAR T cell activity for precise recognition of antigen patterns.

synthetic biology↗

bioRxiv2026

STRIP2 Stabilizes LCN2 to Suppress Ferroptosis and Drives Colorectal Cancer Malignancy

Colorectal cancer (CRC) presents a significant global health challenge with high incidence rates, mortality, and poor five-year survival rates, particularly in advanced cases, despite the availability of existing treatments. This study investigates the role of Striatin-interacting protein 2 (STRIP2) in CRC progression and the underlying mechanisms. To evaluate the impact of STRIP2 on CRC, we conducted in vitro experiments to assess cell proliferation, migration, invasion, and apoptosis in CRC cell lines. Furthermore, in vivo studies were performed utilizing nude mouse models. Transcriptomic analysis, Western blotting, co-immunoprecipitation assays, and ferroptosis validation were employed to elucidate the role of STRIP2 in CRC. The findings indicate that STRIP2 is overexpressed in CRC and drives malignant behaviors in both in vitro and in vivo settings. Overexpressing STRIP2 (oe-STRIP2) suppresses ferroptosis, leading to increased cell proliferation and reduced oxidative stress, whereas silencing STRIP2 (si-STRIP2) has the opposite effect. Mechanistically, STRIP2 stabilizes LCN2, an effector downstream of IL-17, by preventing its K48-linked ubiquitination and subsequent degradation. This stabilization enhances the anti-ferroptosis capacity of CRC cells, thereby promoting cell survival and facilitating malignant progression in CRC. These findings suggest STRIP2 as a promising diagnostic biomarker and therapeutic target for CRC intervention and warrant further investigation.

cancer biology↗

bioRxiv2026

Reversible in vivo regulation of drug metabolizing enzyme CYP1A2 activity through a dTAG knock-in strategy

Drug-metabolizing enzymes determine therapeutic exposure, efficacy and toxicity, but defining their isoform-specific functions in vivo remains challenging. Cytochrome P450 enzymes (P450s) are central to drug metabolism and pharmacokinetics (DMPK) and mediate the phase I metabolism of [~]75% of all marketed drugs. However, conventional knockout models can induce develop-mental and compensatory adaptations, and selective inhibitors are unavailable for many P450 isoforms. Here, we report the use of an inducible chemical-genetic platform for acute and specific degradation of the endogenous P450 enzyme Cyp1a2 in mice. Using CRISPR-Cas9-mediated knock-in editing, we introduced an FKBP12F36V degron into the endogenous Cyp1a2 locus to generate Cyp1a2dTAG mice. Treatment with the dTAG degrader dTAG-13 recruited an E3 ubiquitin ligase to CYP1A2dTAG, resulting in rapid and reversible proteasomal depletion of CYP1A2dTAG in vivo. Temporally controlled CYP1A2dTAG loss altered caffeine pharmacokinetics as expected, validating this model as a functional tool for DMPK studies. By enabling reversible suppression of drug-metabolizing enzymes without permanent deletion or chronic inhibitor exposure, this work establishes targeted protein degradation as a broadly adaptable strategy for studying drug metabolism in vivo and provides a foundation for extending inducible DMPK control to other P450s, conjugating enzymes and transporters.

pharmacology and toxicology↗

bioRxiv2026

Functional Landscape of Motifs within the Sarbecovirus Spike Cytoplasmic Tail

Sarbecoviruses exhibit extensive diversity in host range and zoonotic potential. Although the ectodomain of the viral spike protein has been well characterized, the functional landscape of the cytoplasmic tail (CT) remains poorly defined. To address this gap, we systematically generated CT truncation variants of representative spike proteins from all major ACE2-utilizing clades to define the roles of conserved host factor-interacting motifs associated with COPI, COPII, FERM, and SNX27. Using vesicular stomatitis virus (VSV)- and lentivirus-based pseudotyping systems, we evaluated viral entry in cells expressing varying levels of ACE2 and TMPRSS2. Our results demonstrate that CT-associated motifs differentially regulate viral infectivity. Specifically, truncation of the COPI- or SNX27-binding motifs markedly reduces entry efficiency, whereas disruption of the COPII-binding motif produces the opposite outcome. By contrast, removal of the FERM-binding motif consistently enhances infectivity across lineages. Mechanistically, truncation of this motif increases spike expression, cell surface localization, incorporation into virions, and particle stability. Importantly, despite these pronounced effects on viral infectivity, deletion of the FERM-binding motif does not affect antigenicity, receptor dependence, or sensitivity to protease inhibitors, as demonstrated by neutralization and inhibition assays. In addition, this approach substantially increases spike protein density on virus-like particles (VLPs). Collectively, by extending the analysis beyond SARS-CoV-1 and SARS-CoV-2, our study reveals a generalizable mechanism in which cytoskeletal anchoring mediated by the FERM-binding motif acts as a limiting determinant of viral assembly. These findings provide a practical framework for optimizing pseudovirus platforms and guiding vaccine development against emerging viral threats.

microbiology↗

bioRxiv2026

uniSynK: a ratio-optimized bicistronic chemically induced dimerization tool for robust induction of dendritic spine enlargement

Synaptic plasticity is widely implicated in learning and brain-state regulation. Although correlations between synaptic modifications and diverse brain functions have been extensively reported, establishing causality requires tools that can directly and selectively perturb synapses in vivo. Recently, the chemogenetic actuator SYNCit-K (SynK) enabled causal induction of dendritic spine enlargement and synaptic potentiation. However, SynK relies on the co-expression of two independent components delivered by separate viral vectors, making it difficult to reliably achieve appropriate expression levels of both components within the same neuron. Here, using mouse neocortical dissociated culture, we sought to develop a unified, single-vector version of SynK (uniSynK) that enables robust and safe induction of dendritic spine enlargement. We first found that each SynK component induces distinct, concentration-dependent abnormalities in neuronal morphology when overexpressed, underscoring the need for precise control of their expression ratio. To address this challenge, we engineered a single construct in which the two components are linked by internal ribosome entry site (IRES) variants with graded translational efficiencies. Systematic screening of IRES variants identified an optimized configuration that preferentially drives each component within its respective concentration range that preserves normal spine morphology. The optimized uniSynK efficiently induces dendritic spine enlargement, while exhibiting fewer off-target morphological abnormalities than observed in the multi-vector system when expression levels were not properly controlled. By simplifying experimental design, this single-vector, ratio-optimized synaptic chemogenetic tool provides a practical and broadly applicable platform that should facilitate causal interrogation of synaptic plasticity across neural circuits and behavior. Significance StatementSynaptic plasticity is thought to shape learning, brain states, and neuropsychiatric disease, but testing its causal roles requires tools that can directly manipulate synapses with minimal side effects. Here, we developed uniSynK, a single-vector chemogenetic system that induces dendritic spine enlargement by coordinating the expression of two functional components. By defining safe expression ranges and using IRES variants to optimize their ratio, uniSynK achieves robust spine enlargement while reducing unintended morphological abnormalities associated with imbalanced expression. This work provides both a practical tool for synaptic manipulation and a general strategy for optimizing multi-component biological systems.

neuroscience↗

bioRxiv2026

Systematic identification of chromatin organizers as tuners of intratumoral heterogeneity

Intratumoral transcriptional heterogeneity (ITH) enables tumor cells to explore diverse phenotypic states, fueling therapeutic resistance and metastatic progression. Yet systematic approaches for identifying non-genetic regulators of this phenotype have been lacking. Here, we develop a multi-scale screening framework that integrates bulk patient transcriptomics, functional in vivo genetic screening, and single-cell transcriptomic and epigenomic profiling to nominate chromatin organizers that modulate ITH in breast cancer. From an initial set of 41 candidates nominated in silico, we identify RNF8 and MIS18A as factors whose perturbation produces coordinated shifts in transcriptomic variability and chromatin accessibility dispersion at the single-cell level, without altering mean expression or genomic copy number. MIS18A acts through a centromere-independent, DNA-methylation-associated pathway. Modulating RNF8 or MIS18A expression tunes chemotherapeutic sensitivity and metastatic potential in vivo: knockdown sensitizes cells and reduces metastatic burden, whereas overexpression confers resistance and promotes progression. Higher expression of both genes predicts shorter patient survival. These findings identify RNF8 and MIS18A as chromatin-level stochastic tuners of transcriptional variability in cancer and provide a generalizable framework for discovering regulators of non-genetic tumor heterogeneity.

cancer biology↗

bioRxiv2026

STDrug enables spatially informed personalized drug repurposing from spatial transcriptomics

Drug repurposing offers a scalable route to accelerate therapeutic discovery, yet existing approaches based on single-cell RNA sequencing (scRNA-seq) often overlook spatial tissue context, limiting their ability to capture microenvironment-dependent drug responses. Here we present STDrug, a spatially informed computational framework that integrates spatial transcriptomics, graph-based modeling, and multimodal learning to enable patient-specific therapeutic prioritization. STDrug identifies and aligns disease and control spatial domains using graph convolutional networks and coherent point drift, and prioritizes candidate drugs through an integrative scoring scheme combining tumor-reversible gene signatures, perturbation-based reversal scores, and knowledge-guided gene weighting within a machine learning framework. By modeling spatial domain interactions alongside predicted drug efficacy and toxicity, STDrug generates robust patient-level drug scores. Across hepatocellular carcinoma and prostate cancer datasets, STDrug outperforms existing single-cell and spatial transcriptomics-based drug repurposing methods, achieving signficantly improved predictive accuracy (AUCs=0.81-0.82) across patients. Validation using large-scale electronic health records and in vitro assays further supports the translational relevance of top-ranked candidates. Taking together, STDrug establishes a generalizable framework for incorporating spatial omics into therapeutic discovery, advancing spatially informed and personalized drug repurposing.

bioinformatics↗

bioRxiv2026

Identification of SNARE Genes in Cucumber and the Role of CsSYP121 in Salt Stress Response

Soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs) are essential regulators of plant growth, development, and stress adaptation. In this study, we performed a comprehensive genome-wide identification of SNARE genes in cucumber (Cucumis sativus L.), uncovering 51 putative members designated as CsSNAREs. Phylogenetic analysis confirmed that these genes cluster into five major clades: Qa-CsSNARE (14), Qb-CsSNARE (9), Qc-CsSNARE (10), Qb+c-CsSNARE (3), and R-CsSNARE (15). Bioinformatic analysis of their promoter regions, coupled with expression profiling under diverse abiotic stress conditions, highlighted a heightened responsiveness within the Qa-CsSNARE subfamily. To validate this, we selected representative Qa-CsSNARE genes for quantitative real-time PCR analysis under drought and salt stress. Among these, CsSYP121 was notably induced by salt treatment. We subsequently generated transgenic cucumber lines overexpressing CsSYP121 and challenged them with salinity. Phenotypic assessment, combined with measurements of reactive oxygen species (ROS) accumulation and K+/Na+ ratios, demonstrated that CsSYP121 overexpression (OE) confers enhanced salt tolerance and boosts antioxidant capacity. We propose a model wherein CsSYP121 mitigates ROS-induced cellular damage under salt stress, potentially through promoting K+/Na+ homeostasis, thereby improving plant performance under saline conditions. Our findings identify CsSYP121 as a promising candidate gene for breeding salt-tolerant crops.

plant biology↗

bioRxiv2026

A postnatal human lung developmental atlas reveals windows of genetic vulnerability to chronic lung disease

At birth, the lungs undergo an abrupt physiologic change, as the function of gas exchange transitions from the placenta to the lung. Subsequent postnatal development of the lungs is marked by a rapid and profound increase in the growth of the distal airways and alveolar gas exchange compartment. Insults during this period increase the risk of developing lung disease later in life, though how early-life events affect adult disease onset remains unclear. We generated a single-cell atlas of postnatal human lung development from birth through adulthood and mapped temporally regulated gene expression changes in each cell lineage. Using this atlas, we identified disease risk-associated genes with developmentally regulated expression. These analyses reveal cell type-specific and temporally restricted expression of genes associated with adult lung disease risk, including COPD. Heritability enrichment analysis demonstrated that COPD genetic risk is enriched in genes active during early postnatal endothelial development, linking early-life vascular maturation to adult disease susceptibility. These findings characterize the early window of susceptibility for adult chronic lung diseases and establish a framework to guide mechanistic studies of disease-associated genes.

developmental biology↗

bioRxiv2026

Strain level variation in Proteus mirabilis chondroitin sulfate degradation kinetics and regulation by urea

To establish infection, uropathogens must overcome several host defenses including the glycosaminoglycan (GAG) layer coating the apical surface of the bladder urothelium. GAGs are thought to protect against urinary tract infection (UTI) by serving as scaffolding sites for commensals, providing barrier function and preventing uropathogen adherence. However, the ability of uropathogens to degrade and utilize GAGs and the contribution of these activities toward UTI progression is largely unknown. We previously discovered that the uropathogen Proteus mirabilis, a common cause of catheter-associated UTI (CAUTI), degrades the GAG chondroitin sulfate (CS). In this study we sought to define the kinetics and regulation of CS degradation by diverse P. mirabilis strains clinically isolated from both recurrent UTI and CAUTI patients. We found variation in CS degradation kinetics between P. mirabilis strains and media types. However, CS degradation depended on conserved putative chondroitin sulfate ABC endo- and exolyases in all strains. Furthermore, we found that CS degradation in Pm123 was repressed by urea and that this repression was dependent on P. mirabilis urease activity. Complementation of the Pm123 endolyase into urea-insensitive HI4320 resulted in a urea-sensitive CS degradation phenotype suggesting functional differences between the Pm123 and HI4320 endolyases. Sequence alignment and structural modeling analysis identified two unique point mutations within the Pm123 endolyase that may contribute to urea sensitivity. Finally, unlike urea-insensitive P. mirabilis strains, Pm123 demonstrated attenuated swarming and loss of chondroitin endolyase activity had no effect on Pm123 virulence in a mouse CAUTI model. Our results suggest that the kinetics and regulation of CS degradation differ between P. mirabilis strains and in urea-sensitive strains, thus reduces the contribution of CS degradation to urovirulence during murine CAUTI. ImportanceThis work demonstrates that the ability to degrade a common component of bladder mucosal surfaces, chondroitin sulfate, is a phenotype that is shared by multiple strains of the common catheter-associated UTI (CAUTI) pathogen P. mirabilis. We find that this activity is dependent on encoded chondroitin ABC endo- and exolyases, first described in Proteus vulgaris. Additionally, we discovered that for P. mirabilis strain Pm123, degradation of CS is negatively regulated by the presence of urea, a major component of urine. The repression of CS degradation by urea is dependent on the activity of the P. mirabilis urease enzyme, which breaks down urea producing ammonia which raises pH. We found expression of the Pm123 CS endolyase was sufficient to confer a urea-sensitive CS-degradation phenotype and identified two unique mutations within the Pm123 enzyme that may contribute to urea sensitivity. Finally, we find that while CS-degradation plays a role in progression and severity of murine CAUTI model in urea-insensitive P. mirabilis, there was not significant difference in CAUTI outcomes between the urea-sensitive Pm123 wild-type and chondroitinase knockout strains. This study represents a major step forward in understanding the diversity of CS degradation activity and regulation among clinical strains of the critically important CAUTI pathogen P. mirabilis as well as its contribution to urovirulence.

microbiology↗

bioRxiv2026

Efficient plasmid-based rescue of T7 RNA polymerase-driven calicivirus reverse genetics systems in mammalian cells using vaccinia virus RNA capping enzymes

The caliciviruses include important human and animal pathogens such as norovirus, sapovirus and feline calicivirus. Viral reverse genetics is performed to understand the fundamental biology of these viruses, as well as a potential route to generate live-attenuated vaccines. Calicivirus reverse genetics systems have typically relied on either on the production of in vitro-transcribed RNA or plasmid-based rescue either from a mammalian promoter, or through supplementing with helper enzymes through means of a helper virus. Here, we present a novel system integrating vaccinia capping enzymes D1R and D12L encoded on plasmids as part of a system for Murine Norovirus (MNV) reverse genetics. Addition of D1R, D12L and T7 RNA polymerase-expressing plasmids increases the viral titres of rescued MNV in both BSR-T7 cells and transgenic BSR-T7CD300LF cells, and viral polyprotein abundance. When the murine norovirus receptor is expressed in BSR-T7CD300LFcells, viral titres increased 100-1000-fold compared over standard BSR-T7 cells. This system offers a robust, high-throughput means of assessing viral mutants.

microbiology↗

bioRxiv2026

Single-cell transcriptomic atlas of mouse oocyte development from growth to ovulation

Oocyte growth and maturation depend on tightly coordinated programs within oocytes and their surrounding granulosa cells, yet defining the transcriptional continuum of growing oocytes has been challenging due to their large size and the limitations of current droplet-based and spatial transcriptomic platforms. Here, we optimized a high-density array-based platform called Stereo-cell for high-throughput dual-modality profiling of large mouse oocytes, allowing for both the preservation of morphology and transcript capture. By integrating unsupervised transcriptomic clustering with cell morphological features, we delineated successive temporal windows from growing oocytes to metaphase II and uncovered stage-linked shifts from early programs toward later programs. We also profiled the ovarian somatic fraction, reconstructed granulosa-cell subtype relationships, and placed ovarian cell states in tissue context using single-cell-resolution spatial data.

developmental biology↗

bioRxiv2026

GE-BiCross: A Hierarchical Bidirectional Cross-Attention Framework for Genotype-by-Environment Prediction in Maize

Genotype-by-environment interactions are central to crop adaptation and yield stability, yet they remain difficult to model for robust prediction across heterogeneous environments. Although enviromic profiling has improved the characterization of dynamic field conditions, most existing genomic prediction methods adopt a late-fusion strategy that encodes genomic and environmental information independently before global integration, thereby limiting their ability to resolve fine-scale, context-dependent G x E effects. Here, we developed GE-BiCross, a hierarchical bidirectional cross-attention framework for maize prediction. GE-BiCross incorporates a dual-path feature extraction module to disentangle independent and cooperative effects, a tokenized bidirectional cross-attention module to enable reciprocal genotype-environment interaction learning, and a mixture-of-experts module to adaptively capture heterogeneous response patterns across environments. Using a large-scale dataset of approximately 360,000 observations from 4,923 maize hybrids evaluated in 241 environments, GE-BiCross consistently outperformed conventional genomic prediction, machine learning, and deep learning baselines across six agronomic traits. The greatest improvements were observed for environmentally responsive and genetically complex traits. In particular, GE-BiCross achieved an R2 of 0.672 for grain yield and 0.880 for grain moisture, significantly surpassing all comparison models. Ablation analyses demonstrated that the three core modules make distinct and complementary contributions to predictive performance.These results show that deep, bidirectional integration of genomic and enviromic information can substantially improve modeling of complex G x E interactions, providing a powerful framework for interpretable genomic prediction and climate-smart crop breeding.

bioinformatics↗

bioRxiv2026

Data-derived agents reveal dynamical reservoirs in mouse cortex for adaptive behavior

Animals generate behaviors that are robust to perturbations yet adaptable to changing conditions. How neural population dynamics support this balance between robustness and flexibility remains unclear. We address this question in goal-directed navigation by combining large-scale calcium imaging from mouse cortex with a data-derived modeling framework. We trained agents to navigate in a simulative environment while recapitulating mouse neural and behavioral data trial-by-trial. Data-derived agents discovered novel dynamics of chaotic attractors, characterized by intrinsically variable trajectories confined within overall goal-specific attracting landscapes. These dynamics support reliable goal achievement while maintaining a structured distribution of navigational trajectories. Circuit-level analyses and perturbations reveal mechanisms that stabilize chaos and enhance behavioral adaptability in the data-derived agents. Thus, through our new modeling approach that emphasizes closed-loop interactions between behavior and neural dynamics, we reveal chaos as a functional principle for flexible behavior.

neuroscience↗

bioRxiv2026

Antibody Responses Against Coronaviruses in the Wuhan Population

Prolonged circulation of SARS-CoV-2 may broaden population-level neutralizing antibody responses to diverse coronaviruses; however, the extent of this breadth remains unclear. To address this gap, we assessed serum neutralizing activity in 869 individuals from Wuhan, China, including 78 pre-pandemic samples collected in 2017 and 791 post-pandemic samples obtained in 2025. Specifically, using pseudovirus neutralization assays, sera were tested against a panel of coronaviruses, including circulating SARS-CoV-2 Omicron subvariants XFG and NB.1.8.1. Neutralization was measured at a fixed dilution for all samples and by determination of 50% inhibitory dilution (ID50) for selected sera. In parallel, antigenic cartography and genetic distance analyses were applied to relate functional antigenic relationships to spike protein divergence. Our results showed that, compared with pre-pandemic sera, post-pandemic sera exhibited enhanced neutralizing activity against multiple sarbecoviruses and the merbecovirus MjHKU4r-CoV-1, with mean inhibition increases ranging from 1.7% to 76.5% at a 1:20 dilution. Notably, the largest increases from 51.8% to 76.5% were observed against clade 1b sarbecoviruses. In contrast, neutralizing activity against human alphacoronaviruses and MERS-CoV showed no meaningful enhancement. Moreover, neutralizing titers in post-pandemic sera were strongly correlated across sarbecoviruses, particularly among clade 1b viruses. Antigenic mapping further revealed that several zoonotic sarbecoviruses were antigenically closer to ancestral SARS-CoV-2 than contemporary Omicron subvariants, despite substantially greater genetic divergence. Taken together, these findings demonstrate that cumulative SARS-CoV-2 exposure promotes broadly cross-neutralizing antibody responses within the sarbecovirus subgenus and provide a quantitative framework to inform the rational design of pan-sarbecovirus vaccines and antibody-based countermeasures for future coronavirus preparedness.

microbiology↗