Biology subjects

Wang, R.

Publications and source records attributed to Wang, R..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Hippocampal-midcingulate connectivity is associated with representational integration during cognitive map updating

Cognitive maps organize experience into structured internal models that support goal-directed behavior. Although map formation has been extensively studied in the human hippocampus, the neural mechanisms supporting flexible updating of established maps remain unclear. We used fMRI to track the formation and updating of a spatial cognitive map across three days. Participants learned object-location associations and later updated them by remapping objects among fixed locations. Representational similarity analysis revealed two concurrent signatures in the right hippocampus: prior relational structure remained differentiated, whereas updated associations became integrated. Map updating engaged a frontoparietal network and modulated hippocampal-cortical connectivity. Critically, hippocampal-midcingulate connectivity was associated with the integration of updated associations, but not with the differentiation of prior relational structure. These results suggest that cognitive map updating involves coordinated hippocampal-cortical interactions that incorporate new information while preserving prior relational structure, reflecting a balance of stability and plasticity in internal models.

neuroscience↗

bioRxiv2026

High-Density Wild-Type IL-2 Nanoparticles Preferentially Enhance CD8⁺ T-Cell Expansion and Reprogram the Tumor Microenvironment

Low response rates to immune checkpoint inhibitors (ICIs) in solid tumors are often driven by insufficient tumor-infiltrating CD8 T cells and immunosuppressive tumor microenvironment (TME). Although interleukin-2 (IL-2) potently expands and activates CD8 T cells, its clinical use is limited by rapid clearance, dose-limiting toxicity, and regulatory T cell (Treg) stimulation. Engineered IL-2 variants have not yet achieved meaningful clinical efficacy. Here, polymer-modified mesoporous silica nanoparticles displaying dense, unmodified wild-type IL-2 on their surface (IL2-NP) are developed, conferring proteolytic stability and tumor retention. IL2-NP enables avidity-mediated CD8 T cell binding and enhances proliferation and effector function without increased Treg binding or proliferation. Intratumoral IL2-NP expands CD8 T cells, increases CD8/Treg ratios, and reprograms TME through dendritic cell activation and M1-like macrophage polarization. IL2-NP induces regression of both treated and untreated distant colorectal tumors in a CD8 T cell-dependent manner. IL2-NP synergizes with ICIs and leads to complete tumor regression and immunological memory that protect against rechallenge. Treatment is well tolerated, with strong efficacy also observed in triple-negative breast and metastatic ovarian cancer models. Overall, intratumoral IL2-NP elicits robust systemic antitumor immunity, offering a promising strategy to enhance ICIs, cancer vaccines, and adoptive T-cell therapies. Graphical abstractThis work introduces a nanoparticle platform that overcomes major shortcomings of IL-2 immunotherapy by presenting wild-type IL-2 at high density on the nanoparticle surface, thereby increasing binding avidity to effector T cells. The resulting IL-2 nanoparticles enhance cytotoxic T cell expansion, reprogram the tumor microenvironment, and augment responses to immune checkpoint blockade to achieve robust ant-tumor immune response in mouse tumor models. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/738558v1_ufig1.gif" ALT="Figure 1"> View larger version (82K): org.highwire.dtl.DTLVardef@a53915org.highwire.dtl.DTLVardef@146c137org.highwire.dtl.DTLVardef@3734ccorg.highwire.dtl.DTLVardef@6b5aef_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

Frozen Protein Foundation-Model Embeddings Improve Antibody-Antigen ΔΔG Ranking

We investigate whether representations from AINN-P1--a protein foundation model trained autoregressively on tens of millions of natural protein sequences--transfer to the task of ranking antibody-antigen pairs by binding affinity. Casting affinity maturation as a learning-to-rank problem over the change in binding free energy ({Delta}{Delta}G), we compare a task-specific sequence model trained end-to-end from scratch against lightweight downstream heads built on top of frozen AINN-P1 embeddings, all evaluated under an identical five-fold cross-validation protocol. A regularized linear probe on the frozen embeddings already surpasses the from-scratch baseline, and an optimized lightweight head raises the mean Spearman rank correlation from 0.42 to 0.53--a relative improvement of approximately 28%-- while training in seconds and without any fine-tuning of the foundation model. Because a linear probe alone exceeds the fully trained end-to-end baseline, the gain is attributable to representation quality rather than to added downstream-model capacity. These results position frozen foundation-model embeddings as a strong, data-efficient default for affinity ranking in antibody engineering and establish a conservative lower bound that task-adaptive fine-tuning is expected to exceed.

bioinformatics↗

bioRxiv2026

ProtAug: An Empirical Investigation of pLM-Guided Data Augmentation for Protein Sequence Prediction Tasks

Protein language models (pLMs) offer great potential for protein sequence analysis, yet the scarcity of labeled data often limits their effectiveness in fine-tuning. Data augmentation is a promising remedy, but systematic evaluation of augmentation strategies for protein sequences remains limited, and the conditions under which augmentation confers downstream benefits are not well understood. In this paper, we systematically investigate pLM-guided substitution-based augmentation across seven protein prediction tasks. We propose ProtAug, a framework that leverages encoder-based (ESM-2) and autoregressive (ProtGPT2) pLMs to generate augmented sequences with user-controlled variation levels. Our investigation focuses on four questions: (Q1) whether pLM-synthesized sequences preserve more original signals than simpler methods, (Q2) to what extent augmentation improves prediction performance, (Q3) how variation levels affect downstream accuracy across tasks and models, and (Q4) whether biological plausibility is a necessary condition for achieving improvement. Our experimental results show that: (1) ProtAug Esm generally preserves motifs and structural similarity better than simple substitution, often comparable to homology retrieval; (2) augmentation yields consistent but task-dependent improvements, with ProtAug Esm achieving the best or second-best performance in 5 out of 7 tasks at 10% variation; (3) low-to-moderate variation levels (2-30%) perform best overall, although high-variation augmentation can benefit certain structure-related tasks; (4) the necessity of biological plausibility is task- and variation-dependent--while semantic preservation correlates with performance at low-to-moderate variation levels, improved generalization at high variation levels suggests that regularization effects, rather than label preservation, can also drive performance gains.

bioinformatics↗

bioRxiv2026

IgGM2: An All-Atom Foundation Model for Adaptive Immune Receptor Design

Accurate immune receptor design requires modeling the coupled variation of aminoacid sequence, full-atom conformation, and target-binding geometry across antibodies, nanobodies, and T-cell receptors (TCRs). Existing methods often address only part of this problem, either by separating structure generation from sequence design, relying on fixed-backbone inverse folding, or focusing on a single receptor class. We introduce IgGM2, a unified all-atom generative framework for immune receptor structure prediction and CDR sequence-structure co-design. IgGM2 follows a structure-to-design strategy: it first learns how immune receptors are positioned around fixed target structures, and then transfers this target-conditioned structural prior to CDR design. Unlike modular design pipelines, IgGM2 jointly generates CDR residue identities and full-atom receptor structures, allowing frame-work geometry to adapt to designed CDRs without separate inverse folding or external sidechain packing. Unlike continuous residue encodings based on virtualatom geometry, IgGM2 keeps sequence prediction explicit while using atom14 placeholders only for full-atom representation. On structure prediction benchmarks, IgGM2 better captures receptor-target spatial relationships than AlphaFold3 on FoldBench and achieves strong performance on TCR-pMHC modeling. On sequence design benchmarks, IgGM2 achieves competitive amino-acid recovery and improves Rosetta-based interface preference metrics, suggesting more favorable generated binding interfaces. These results support IgGM2 as a unified all-atom framework for adaptive immune receptor structure prediction and design.

bioinformatics↗

bioRxiv2026

Critical period plasticity enables credit assignment

Synaptic plasticity is often guided by instructive inputs to neural circuits, but learning only succeeds when these instructions reach neurons that mediate relevant outputs. This creates the credit assignment problem: how does a neuron receive instructions suited to its own behavioral function? Here we report a developmental mechanism that enables credit assignment by using instructive inputs to organize the downstream architecture through which learning is expressed. In the olivocerebellar learning system, the inferior olive provides instructive inputs that guide plasticity within the cerebellum. During circuit assembly in zebrafish, we find these same inputs regulate long-range cerebellar projections during a highly plastic, two-day critical period. Developmental experience caused specific maturation of projections to targets that were coactivated with olivary inputs. Mathematical theory and computational modeling show how the resulting architecture constrains later learning, such that a single input can sculpt downstream connectivity and then leverage that circuit to assign credit. Simulated learning became paradoxically more robust if we reduced plasticity after a developmental critical period, protecting key architecture from corruption during learning. Thus, instructive inputs can first build the circuits they later teach, coordinating development and learning to enable effective credit assignment.

neuroscience↗

bioRxiv2026

Killer-cell dominance dichotomy governs tumor immune networks and stratifies inflamed cancers

Cancer immunotherapy benefits remain limited, even among "hot" tumors with high killer lymphocyte infiltration. Here, we investigated the population-level architecture of killer cells based on nearly 5,000 pan-cancer scRNA-seq samples, together with orthogonal validation by spectral cytometry and spatial transcriptomics. Unlike the prevailing "hot-cold" paradigm, which assumes coordinated infiltration of multiple cytotoxic lineages, we uncovered a conserved framework wherein terminal cytotoxic immunity in individuals or malignancies diverges into states dominated by either exhausted CD8+ T cells (Tex) or CD56dimCD16hi NK (NK1) cells. Despite the complexity of the tumor microenvironment, Tex-NK1 divergence governs the primary axis of tumor-intrinsic and tumor-extrinsic variance. Distinct from the conventional view that NK cells positively contribute to immunotherapy efficacy, NK1-skewed tumors, although highly cytolytic, are refractory to current immune checkpoint blockade regimens. This killer divergence defines a foundational axis of cancer immunity and provides a resource for prioritizing next-generation targets for NK-directed immunotherapy.

immunology↗

bioRxiv2026

MicroRNA-181 influences Alzheimer's risk by regulating neprilysin and microtubule-associated tau pathways, offering a novel target

Alzheimers disease (AD) is characterized by amyloid-{beta} (A{beta}) peptide plaques and neurofibrillary tangles from hyperphosphorylated tau, though factors linking amyloid and tau pathology remain unclear. We investigated whether microRNA-181d-5p (miR-181d) associates with AD-related brain changes and regulates neprilysin and tau. Modeling miR-181d across individuals with no cognitive impairment, mild cognitive impairment, and AD revealed region- and sex-specific associations. Higher miR-181d levels associated with greater AD probability in the temporal lobe and cerebellum, and lower probability in the posterior cingulate cortex of males; miR-181c attenuated these probabilities. SNPs near MIR181 associated with altered entorhinal cortical thickness. In cellular models, miR-181 reduced neprilysin 3'-UTR activity, mRNA, protein, and enzymatic activity, while increasing tau mRNA and protein. Neprilysin diminution impairs A{beta} clearance and elevates tau, contributing to AD. RNA sequencing identified miR-181d-responsive neurodegenerative pathways. These findings identify miR-181 as a regulator of AD-relevant amyloid and tau pathways, providing novel targets. TeaserMiRNA-181 is a key regulator of Alzheimers risk through its effects on neprilysin and tau proteins, a novel potential target.

neuroscience↗

bioRxiv2026

Elastogenesis by adventitial progenitors acquiring a smooth muscle cell phenotype following aortic dissection

Following aortic dissection (AD), there is a sustained risk of vascular complications, progressive false lumen aneurysm formation, and rupture. However, no effective therapy exists to prevent these complications, highlighting the need to elucidate the pathophysiology following AD. Elastic fibers are crucial for maintaining aortic wall integrity but are thought to have limited regenerative capacity once disrupted during AD. This study defined that elastic fibers were newly generated in the false lumen wall following AD in humans and mice. In human ADs, new elastic fibers were observed in the false lumen wall 6 months after onset. In mice with descending AD induced by {beta}-aminopropionitrile (BAPN), elastin mRNA was markedly upregulated in the chronic phase following AD, accompanied by elastic fiber formation. These fibers coincided with smooth muscle cell (SMC) markers within the false lumen wall. Of note, lineage tracing studies demonstrated that these cells were not derived from resident SMCs but adventitial progenitor cells. In vitro experiments further demonstrated that adventitial progenitor cells produced elastic fibers while expressing SMC markers. Collectively, these findings suggest that adventitial progenitor cells differentiate into elastogenic SMC-like cells, contributing to false lumen remodeling through de novo elastic fiber formation following AD.

pathology↗

bioRxiv2026

Entanglement-governed protein networks enable mechanically adaptive artificial skin for transplantation-scale skin replacement

Artificial skin substitutes that simultaneously achieve mechanical robustness, regenerative bioactivity, and transplantation-scale tissue integration remain challenging to engineer. Here we report a mechanically adaptive bilayer artificial skin based on entanglement-mediated protein networks. By integrating protein chain entanglement, flexible molecular linkers, and photo-triggered intermolecular crosslinking, we establish a hierarchically organized protein matrix with enhanced toughness, structural adaptability, and regenerative compatibility. Spatial biofunctionalization further enables integration of an antibacterial Zn{superscript 2}-coordinated epidermal layer and a regenerative CLP-EGF-functionalized dermal layer within a unified construct. The engineered skin promotes cellular proliferation through PI3K-AKT-mTOR activation, exhibits sustained antibacterial activity, and supports large-area full-thickness skin replacement covering approximately 40% of the dorsal skin surface in mice. The construct further accelerates diabetic wound repair and extracellular matrix remodeling in vivo. These findings establish entanglement-mediated protein engineering as a strategy for mechanically adaptive regenerative biomaterials and provide a platform for transplantation-scale skin regeneration.

bioengineering↗

bioRxiv2026

Reinforcement learning-driven unified generative framework for multi-objective RNA codon design

Current RNA codon design methods are limited by inefficient long-sequence processing and poor generalizability, often relying on a decoupled generate-or-optimize paradigm. We introduce RNARL, a reinforcement learning-driven framework that unifies sequence generation with multi-objective optimization. RNARL directly learns to generate high-performance sequences, effectively optimizing sequences over 3,900 nucleotides and demonstrating superior performance and universality across six species and five RNA types. RNARL thus establishes an effective and generalizable framework for RNA codon design. Finally, a user-friendly web platform is freely available to facilitate its application for RNA therapeutic design.

bioinformatics↗

bioRxiv2026

Pseudomonas aeruginosa CRISPR-Cas primes a minimal proline-codon toxin to abort anti-CRISPR phages

Pseudomonas aeruginosa typically carries type I-F CRISPR-Cas systems, which are targeted by diverse (pro)phage-encoded anti-CRISPR (Acr) proteins. Here, we show that [~]26% of P. aeruginosa Cas effectors are reprogrammed by a regulatory RNA guide (CreA) to transcriptionally silence a conserved small RNA toxin (CreT) that arrests cell growth upon Cas inactivation. This toxin unprecedentedly employs two consecutive proline codons, thus termed "proline-codon toxin". Combined phylogenetic and genetic analyses unraveled that CreTA has forced P. aeruginosa to reject prophages whose Acrs disrupt Cas-DNA binding, which is essential for CreT repression. We further show that Acr-armed lytic phages designed to overcome CRISPR adaptive immunity can be instead aborted by CreTA-mediated defense in vitro and in a mouse model. Our findings unravel intra-genomic arms races between CreTAs and anti-CRISPR phages, and underscore the necessity of rational engineering of strain-specific therapeutic phages to penetrate the layered CRISPR and TA barriers of multidrug-resistant P. aeruginosa.

microbiology↗

bioRxiv2026

Lactational transfer of synthetic oxytocin and sex-specific suppression of neurodevelopmental risk gene networks in the rat prefrontal cortex

Autism spectrum disorder and related neurodevelopmental disorders (NDDs) affect males at two-to-four times the rate of females, yet the environmental contributors to this sex-differentiated vulnerability remain poorly understood. Here, using a clinically translatable postpartum rat model, we show that synthetic oxytocin (OT) administered for postpartum hemorrhage (PPH) prophylaxis ( PPH-OT), a universally administered obstetric medication, undergoes lactational transfer, confirmed by stable isotope-labeled OT and LC-MS/MS, without altering maternal behavior or neonatal cortical OT receptor expression. In offspring, PPH-OT altered ultrasonic vocalizations during dyadic interaction and caused a male-specific reduction in social approach, without affecting other behavioral domains. Sex-stratified RNA-sequencing of the medial prefrontal cortex (mPFC) revealed pronounced transcriptional dimorphism: males showed 1,732 differentially expressed genes versus 693 in females, and a sex-by-treatment interaction contrast identified 1,229 formally sex-differentiated genes. Male mPFC downregulated genes were significantly enriched for high-confidence NDD risk genes across three independent databases -- SFARI score-1 (highest confidence autism genes; OR = 4.56, p = 0.015), DBD autism (OR = 10.34, p = 7.3x10-{superscript 1}{superscript 2}), and SysNDD autosomal dominant (OR = 9.78, p = 8.4x10-) -- including core regulators of cortical circuit assembly (Grin2a, Grin2b, Reln, Tbr1, Mef2c, and Tcf4), an enrichment pattern largely restricted to males. Hypothalamic transcriptional changes were pronounced but showed no enrichment for NDD risk genes, establishing mPFC specificity. These findings identify PPH-OT as a candidate environmental modifier of male neurodevelopmental vulnerability and provide a pressing rationale for prospective investigation of neurodevelopmental outcomes in PPH-OT-exposed children.

neuroscience↗

bioRxiv2026

Layered social competition coordinates reproductive hierarchy formation in ants

Social interactions establish reproductive hierarchies and regulate division of labor in eusocial insect colonies. In the ant Harpegnathos saltator, queen loss induces a subset of workers to transition into reproductive pseudo-queens, known as gamergates, through a ritualized antennal-dueling tournament that can last for more than a month. Gamergate transition is associated with sustained dueling engagement, yet the interaction networks and social dynamics that shape reproductive hierarchy formation remain unclear. Here, we combine long-term automated tracking with behavioral classifiers to systematically quantify social interactions, including antennal dueling and two distinct biting behaviors: aggressive grooming and mandible locking. We find that antennal dueling is organized into two activity states, an engaged state and a disengaged state, and that persistent maintenance of the engaged state, rather than transient entry into it, predicts successful transition to gamergate fate. Early access to abundant food shapes dueling activity and biases ants toward entry into the engaged state. Moreover, engaged-state individuals exhibit a strong assortative preference for dueling with one another and cluster spatially within the colony. We further show that mandible locking precedes transitions out of the engaged state, whereas aggressive grooming reinforces the disengaged state, together consistent with a role in stabilizing worker fate. Our findings reveal how structured social interactions organize reproductive hierarchy formation by regulating stable behavioral states associated with caste fate.

neuroscience↗

bioRxiv2026

A shared neural code for gender across faces, bodies, and objects in the human brain

Humans can readily infer gender from diverse visual categories, including faces, bodies, and objects, yet it remains unclear whether the brain constructs a shared, category-general representation of gender. To fill the gap, we measured neural responses using fMRI while participants viewed female and male stimuli across these three categories. Multivoxel pattern analyses revealed that gender information was encoded throughout distributed occipitotemporal regions for all categories. Critically, cross-category decoding and regression-based representational similarity analyses converged on a region of the right middle temporal gyrus (rMTG) that encoded gender independently of stimulus category. This region also carried category information, indicating mixed selectivity. Comparisons between neural representational dissimilarity matrices and those from a fine-tuned convolutional neural network (CNN) showed that rMTG activity most closely resembled intermediate CNN layers, suggesting that shared gender representations rely on mid-level visual features. Finally, functional connectivity analyses revealed that gender-related interactions among occipitotemporal regions were similar for faces and bodies but not for objects. Together, these findings identify a category-general neural hub for gender perception and illuminate how mid-level visual features and distributed networks support the abstraction of gender across heterogeneous visual inputs.

neuroscience↗

bioRxiv2026

Deficiency of the membrane androgen receptor ZIP9 alters brain zinc distribution, reproductive endocrinology, and female fertility

Zinc is an essential trace element involved in numerous biological processes, including cellular signalling, development, and reproduction. Zinc homeostasis is regulated by zinc transporters, yet the physiological roles of many transporters remain poorly understood in vivo. Here, we investigated the function of the zinc transporter ZIP9 (SLC39A9) using a zebrafish (Danio rerio) knockout model. Elemental imaging using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) revealed altered zinc distribution in zip9-deficient larvae. Synchrotron-based X-ray fluorescence (XRF) imaging further showed reduced zinc levels in the brain region of mutant zebrafish. Consistent with these observations, loss of zip9 was associated with altered expression of key neuroendocrine genes within the hypothalamic-pituitary-gonadal (HPG) axis. Zip9 mutant females exhibited disrupted ovarian follicle development, reduced spawning rates, and decreased egg production. In addition, embryos derived from zip9 mutant parents displayed reduced size, impaired early development, and decreased survival. Together, these findings identify ZIP9 as a regulator of zinc distribution in vivo and suggest that ZIP9-mediated zinc signalling contributes to reproductive regulation in zebrafish.

physiology↗

bioRxiv2026

Task-space dimensions guide human exploration in complex environments

Efficient exploration is essential for rapid learning in high-dimensional environments, where rewards depend on a sparse and unknown subset of task dimensions. Here, we developed a multidimensional value-learning task in which participants explored without explicit knowledge of the underlying structure. Across multiple task designs, participants consistently demonstrated successful learning under structural uncertainty. Behavioral analyses revealed that over half of participants adopted a structured exploration strategy--Full Dimension Scan (FDS)--with three key properties. First, participants systematically isolated and sampled one candidate dimension at a time, effectively reducing search complexity. Second, FDS was temporally persistent within dimensions while maintaining diverse sampling of feature values, enabling efficient local inference. Third, participants sequentially deployed FDS across dimensions, achieving broad coverage of the task space. Importantly, this strategy transferred across tasks: prior experience in lower-dimensional environments promoted stronger FDS use and improved performance in higher-dimensional settings. Consistent with these findings, a dimension-guided exploration model incorporating dimension-level attentional control best captured human behavior. Together, these results identify dimension-guided exploration as a core principle that transforms high-dimensional search into tractable, structured learning, providing new insight into adaptive behavior in complex environments.

animal behavior and cognition↗

bioRxiv2026

AM-DMF-SCP-pro: An Ultrafast and Streamlined Nanolitre-Scale Lab-on-a-Chip Platform for Single-Cell Proteomics and Tumor Microenvironment Profiling

Single-cell proteomics (SCP) remains constrained by slow sample preparation and background interference in low-input, multistep workflows, limiting its broader practical use in complex biological samples. Here we report AM-DMF-SCP-pro, a streamlined active-matrix digital microfluidic workflow that enables rapid on-chip lysis and digestion in 6 nL droplets within a closed nanolitre-confined microenvironment. AM-DMF-SCP-pro reduces total sample-preparation time to as little as 30 min, including a 15 min digestion step, while maintaining quantitative reproducibility and digestion performance. Systematic optimization of mass spectrometry acquisition and nanolitre-scale digestion conditions enables deeper, more sensitive and lower-background proteome profiling from ultra-low peptide inputs. In murine tumor samples, AM-DMF-SCP-pro reliably resolves immune and tumor compartments, identifies treatment-associated tumor cell states and enables quantitative analysis of neutrophil-associated proteomic signatures. These results establish AM-DMF-SCP-pro as a practical workflow for rapid, low-background single-cell proteome profiling in complex biological samples.

systems biology↗