Biology subjects

He, Y.

Publications and source records attributed to He, Y..

At least 109 records · Page 6Linked to original sources

bioRxiv2026

Mechanochemically-reprogrammed stem cell exosomes reconcile the biogenesis internalization trade-off for pulmonary fibrosis therapy

Matrix stiffness serves as a pivotal biophysical cue that profoundly dictates exosome biogenesis and cellular internalization, yet often creates a functional trade-off that impedes clinical translation. Herein, we developed a mechano-chemo-transductive strategy to engineer mesenchymal stem cell (MSC) exosomes endowed with robust biogenesis and superior delivery potency. Specifically, we revealed that MSCs cultured on soft matrices secreted a significantly elevated exosome yield and demonstrated enhanced competence to drive macrophage towards anti-inflammatory M2 polarization. Conversely, stiff matrices upregulated ATP-binding cassette transporter A1 (ABCA1) expression, enriching exosomal membrane cholesterol and facilitating cellular internalization by recipient cells. By taking advantages of these unique mechano-responses, we engineered MSCs via substrate softening combined with ABCA1 modulation to generate mechanochemically reprogrammed exosomes with concurrently enhanced yield and internalization efficiency. In a murine model of pulmonary fibrosis characterized by restrictive biological barriers, inhaled mechanochemically reprogrammed exosomes treatment demonstrated superior lung retention and deep tissue penetration. Furthermore, they effectively orchestrated immune homeostasis by repolarizing alveolar macrophages to reverse fibrotic remodeling and restore lung function. Collectively, by reconciling the intrinsic trade-off between biogenesis and cellular uptake, this strategy represents a paradigm shift in exosome engineering and paves the way for next-generation therapeutics against refractory fibrotic diseases.

bioengineering↗

bioRxiv2026

DeSCENT: Deconvolutional Single-Cell RNA-seq Enhances Transcriptome-based Cancer Survival Analysis

MotivationAccurate cancer survival prediction requires modeling tumor heterogeneity across both population and cell levels. Most cancer survival analyses use tumor transcriptomes only, since cohorts are usually measured with bulk RNA-seq but are rarely recorded with single-cell RNA-seq. This prevents the direct use of cell-level transcriptomes in cancer survival analysis. ResultsTo bridge this gap, we propose using bulk RNA-seq deconvolution algorithms to reconstruct each subjects scRNA-seq profile from their bulk data. Then, by combining both scRNA-seq and bulk RNA-seq together with their survival labels (paired to bulk), we perform multimodal transcriptome-based survival analysis. We built this framework as DeSCENT and evaluated it with common survival models on eight TCGA cancer cohorts. Results showed notable and consistent improvements in C-index over bulk-only models or models using cellular information alone. AvailabilityOur code is available at GitHub: https://github.com/YonghaoZhao722/DeSCENT. Contactzpluo@swjtu.edu.cn; y.he@imperial.ac.uk Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2026

Mechanistic insights into the color transformation of a non-FRET substrate for RNase activity detection

DNA-templated silver nanoclusters (DNA/AgNCs) have created a new class of non-FRET DNase substrates, termed Subak, that exhibits a color change upon DNase digestion. Although Subak substrates offer advantages such as ratiometric readouts and low manufacturing costs over traditional FRET substrates, the mechanism governing AgNC color switching remains unclear. Here, using a site-specific cleavage strategy, we identify color-switching hotspots and demonstrate that AgNC transformation can be controlled by the cleavage positions within the nucleic acid host. Our data support a cleavage-driven reorganization of the AgNC coordination environment, converting a non-emissive precursor into a red-emitting cluster, rather than direct enzyme-cluster interactions. Leveraging this insight, we engineer rSubak, an RNA-incorporated Subak that displays 95 nm red shift (530 to 625 nm) upon RNase cleavage. In amplification-free CRISPR/Cas13 assays for SARS-CoV-2, influenza A (A/H5N1), and measles viruses (MV) detection, rSubak achieved a limit of detection of 0.3 pM, superior to that of the commercial RNaseAlert ([~]250 pM). Collectively, our results establish Subak as a generalizable, non-FRET platform for sensitive ratiometric reporting the activities of diverse nucleases.

bioengineering↗

bioRxiv2026

Recessive POPDC1 Truncation Causes Lethal Short-QT Pattern Arrhythmogenic Cardiomyopathy with Multi-Ion Channel Remodeling and Ankyrin-G Scaffold Disruption

AimsBiallelic variants in Popeye domain containing 1 (POPDC1) classically cause limb-girdle muscular dystrophy, but their impact on cardiac system remains unclear. We investigated the functional consequence of a POPDC1 frameshift variant (c.448delT), first identified in a consanguineous family with arrhythmogenic cardiomyopathy (ACM) and sudden death. Methods and resultsComprehensive clinical and genetic evaluation was followed by mechanistic studies in an orthologous Popdc1 knock-in rat model. Functional characterization included biotelemetry and programed electrical stimulation, optical mapping, patch clamp, intracellular Ca2+ imaging, proteomics, and oxidative stress assays. Homozygous mutants (Popdc1fs/fs) exhibited a shortened QTc interval and high incidence of ventricular tachycardia compared to wild-type (Popdc1+/+). Urethane anesthesia provoked second-degree AV block in all 10 Popdc1fs/fs rats but in only 1 of 9 Popdc1+/+ littermates. Optical mapping demonstrated abbreviated action potentials, slowed conduction velocity, and inducible polymorphic VT. Patch clamp confirmed accelerated repolarization, with upregulated transient outward potassium currents (Ito) and L-type calcium currents (ICa, L), but downregulated peak sodium currents (INa). Multi-omics and ultrastructural analyses revealed a post-translational collapse of intercalated disc: POPDC1 loss destabilized Ankyrin-G and its membrane-anchored cargo, Nav1.5, coinciding with enhanced Kv4.3 and Cav1.2 protein levels. These disruptions create a convergence of delayed conduction and shortened refractoriness, forming substrate for malignant re-entry. ConclusionWe defined a recessive short-QT ACM leading to potentially fatal arrhythmias caused by biallelic POPDC1 truncation driving Ankyrin-G disruption, manifesting as a triad: (1) bradycardia/AV block, (2) accelerated repolarization as short-QT pattern/diffuse T-wave flattening or inversion, and (3) progressive cardiomyopathy and sudden death. Whats new?O_LIWe define a novel diagnostic triad for recessive short-QT arrhythmogenic cardiomyopathy (rSQT-ACM) in a loss-of-function POPDC1 truncation: (1) early-onset bradyarrhythmia (sinus bradycardia or AV block); (2) a paradoxical short-QT interval with maladaptive rate response/diffuse T-wave flattening or inversion; and (3) progressive cardiomyopathy accompanied accompanied by with SCD. C_LIO_LIMechanistically, biallelic POPDC1 truncation induces collapse of the POPDC1-AnkG hub, which triggers a unique "opposing remodeling" phenotype (severe INa reduction coupled with paradoxical upregulation of Kv4.3-mediated Ito), and established a unified "slow-conduction, short-wavelength" substrate that underpins malignant re-entry. C_LIO_LIImplications for safety and device therapy: Nav1.5 deficiency indicates that sodium channel blockers may be contraindicated, and early ICD implantation may be preferable to bradycardia pacing. C_LIO_LIMechanism-directed treatments: POPDC1s recessive inheritance and small gene size make it a strong candidate for AAV-mediated gene supplementation aimed at restoring the intercalated disc architecture and ion-channel anchoring. C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/710328v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@1012d79org.highwire.dtl.DTLVardef@5073dcorg.highwire.dtl.DTLVardef@1e69bc2org.highwire.dtl.DTLVardef@fc15ec_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

genetics↗

bioRxiv2026

A foundation AI model enhances electron microscopy image analysis

Electron microscopy (EM) and advanced volume EM have extensive applications in deciphering cellular ultrastructures for life sciences. However, quality issues of EM images significantly impede the precise analysis and discovery of nanoscale biological structures. Here, we present an unsupervised Foundation Model for Five Tasks (DF5T) model for image enhancement through denoising, deblurring, super-resolution, two-dimensional (2D) inpainting, and three-dimensional (3D) isotropic restoration. DF5T was trained on an extensive dataset of multi-source membrane-bound organelle EM images, consisting of a total of over 2.25 million images. On unseen data, DF5T outperformed the existing state-of-the-art models in all five tasks. Furthermore, DF5T substantially compensates for missing three-dimensional structural information and reveals significant ultrastructural alterations in organelle geometry following chemical treatment. We demonstrate that DF5T significantly enhances electron microscopy images quality by improving the accuracy of downstream organelle segmentation and 3D structural restoration, thereby contributing to future advances in biological research.

cell biology↗

bioRxiv2026

Mapping the MIF-2 Chemokine Interactome Reveals MIF-2-CCL20 Complex Formation in Liver Fibrosis

D-dopachrome tautomerase (D-DT/MIF-2) is an inflammatory cytokine, atypical chemokine (ACK) and member of the macrophage migration-inhibitory factor (MIF) family. While interactions among classical chemokines (CKs) are established, ACK-CK interactions remain underexplored. Here, we screened for MIF-2 binding-partners using a protein array encompassing all CKs and selected ACKs, and validated candidate interactors by surface-plasmon resonance. CCL20/MIP-3 was prioritized based on RNA-sequencing suggesting induction during liver fibrosis. MIF-2/CCL20 complex formation was verified by microscale thermophoresis and interaction interfaces mapped using peptide array and in-silico modeling. The deduced binding-site near the MIF-2 tautomerase pocket was consistent with inhibition of its tautomerase activity by CCL20. We found both proteins abundantly expressed in human liver tissue, with a positive correlation. Pull-down confirmed complex formation and proximity ligation assay demonstrated MIF-2/CCL20 complexes in liver in situ, with higher levels in fibrotic tissue. Functionally, MIF-2/CCL20 complexes suppressed MIF-2-driven CD4 T-cell chemotaxis and fibroblast IL-6 secretion, indicating modulation of immune and stromal responses. This study extends the ACK interactome to MIF-2 and suggests ACK/CK complexes modulate chemokine activities in liver fibrosis.

immunology↗

bioRxiv2026

Interpretable AI driven materiomics to decode microenvironmental cues for stem cell immunomodulation

Hydrogels that mimic the extracellular matrix create microenvironments containing diverse physicochemical cues that regulate stem cell fate, particularly their immunomodulatory and pro-regenerative functions. However, elucidating how microenvironmental cues regulate cell fate remains challenging because of complex multi-parameter interactions and nonlinear relationships, thereby requiring large numbers of samples and substantial experimental effort. Here, we present a materiomics platform that integrates a large-scale systematic dataset with artificial intelligence (AI) to evaluate and predict optimal stem cell niche features for enhancing the immunomodulatory functions of mesenchymal stem cells (MSCs). Specifically, binary hydrogels composed of methacrylated alginate and gelatin (AMGM) were used to construct a comprehensive materiomics database incorporating seven critical physicochemical cues associated with MSC-mediated regulation of macrophage polarization. Machine learning models trained on this materiomics database successfully predicted hydrogel formulations that enhanced MSC immunomodulatory efficacy and further identified matrix stiffness as the physicochemical cue with the greatest contribution to MSC-mediated immunomodulation within the AMGM hydrogel system. In summary, this study demonstrates the utility of AI for evaluating the relative contributions of microenvironmental cues and establishes a data-driven research framework for investigating microenvironmental regulation of stem cell function.

bioengineering↗

bioRxiv2026

Real-Time Cell Analysis Reveals Distinct Roles of S100A4 in Regulating Proliferation, Migration, and Invasion of JAR Choriocarcinoma Cells

S100A4, a metastasis promoting calcium binding protein, drives tumor progression through pleiotropic mechanisms, yet its context dependent functions in gestational malignancies remain elusive. To dynamically decode its role in choriocarcinoma pathogenesis, we leveraged label free real time cell analysis (RTCA) to profile malignant phenotypes in JAR cells following siRNA mediated S100A4 silencing, complemented by apoptosis assessment and targeted signaling profiling. Efficient knockdown (verified by qPCR/Western blotting) significantly attenuated cellular proliferation (96 hr cell index slope decreased vs. scramble control; p<0.01) and suppressed migration capacity (p<0.01). Critically, S100A4 depletion did not induce apoptosis (flow cytometry and cleaved caspase 3/9 blotting confirmed no significant change), and invasion through Matrigel coated membranes remained statistically unaltered despite comparable experimental rigor. Mechanistically, S100A4 silencing triggered adaptive signaling rewiring: IRS1 and PI3K expression were elevated, Akt1 was suppressed, while MEK1/2 remained unchanged suggesting compensatory pathway activation.

cell biology↗

bioRxiv2026

Endocardial TIE1 synergizes with TIE2 to regulate the atrial internal muscular network assembly

Atrial cardiomyopathy is characterized by altered atrial structures, yet its underlying genetic basis remains inadequately explored. TIE1 mutations are reported in lymphedema patients, but whether they exhibit cardiac defects alongside lymphatic abnormalities remains unknown. Here, single-cell RNA sequencing showed high Tie1 and Tek expression in atrial endocardial cells. TIE1 deficiency severely disrupted atrial morphogenesis, with only minor ventricular defects. Bulk RNA-seq showed reduced transcripts for endothelial development and cardiac trabeculation in Tie1 mutants. Separate RNA-seq analysis of the atria and ventricles further confirmed these findings, revealing a more pronounced downregulation of trabecular genes, including Tek, in the atria upon Tie1 loss. Endothelial deletion of Tek impaired trabeculation, particularly in atria. Consistently, Tie1 loss combined with a single null Tek allele disrupted both atrial and ventricular trabeculation. Strikingly, atrial morphogenesis defects appeared within 48 hours of induced endothelial Tie1 loss coupled with Tek heterozygous deletion, implying a critical endocardial role in organizing the atrial muscular network. The synergy of TIE1 and TIE2 in remodeling atrial trabeculae was confirmed postnatally, whereas TIE1 insufficiency alone had no effect. Together, TIE1 is differentially required for atrial versus ventricular development, acting synergistically with TIE2 to regulate endocardial cell-coordinated assembly of atrial internal muscular network.

developmental biology↗

bioRxiv2026

KRT17 stabilizes EPN1 via inhibiting SMURF1-mediated ubiquitination to modulate Wnt/β-catenin signaling output and stem-like traits in ovarian cancer

BackgroundOvarian cancer (OC) progression and chemoresistance are closely linked to dysregulated oncogenic signaling, including Wnt/{beta}-catenin pathways that contribute to cancer stem-like traits. However, the upstream mechanisms connecting cytoskeletal regulation to Wn/{beta}-catenin signaling in OC remain incompletely understood. Keratin 17 (KRT17), a type I intermediate filament protein, has been implicated in tumor progression, but its mechanistic role in OC requires clarification. MethodsGene Expression Omnibus (GEO) datasets and clinical specimens were analyzed to assess KRT17 and EPN1 expression and prognostic significance. Functional assays, xenograft models, co-immunoprecipitation, ubiquitination analyses, and rescue experiments with wild-type and ubiquitination-resistant EPN1 mutants were performed to investigate molecular mechanisms. ResultsKRT17 expression was elevated in OC tissues and correlated with poor patient survival. KRT17 depletion suppressed proliferation, migration, stem-like properties, tumor growth, and cisplatin resistance. Mechanistically, KRT17 interacted with EPN1 and weakened its association with the E3 ligase SMURF1, reducing SMURF1-mediated ubiquitination at lysine 107 and preventing proteasomal degradation. Stabilized EPN1 was associated with increased {beta}-catenin abundance and stemness-associated markers, and enhanced self-renewal capacity. ConclusionsThese findings identify a KRT17-EPN1 axis that links intermediate filament dynamics to ubiquitin-dependent regulation of EPN1 stability and Wnt/{beta}-catenin signaling outputs in ovarian cancer.

cancer biology↗

bioRxiv2026

Development of functional topography of the default mode subnetworks revealed by precision mapping

The default mode network (DMN) is a functionally and anatomically heterogeneous network comprising distinct subsystems that support internally directed processes such as memory and self-related thought. Specialization and segregation of functional brain networks are critical for cognitive maturation, yet how DMN subnetworks develop remains unclear. Group-average approaches obscure individual variability and blur spatial details, limiting precise characterization of network topography. Using precision mapping in 547 participants aged 5-21 years, we delineated individualized DMN subnetworks and examined their development across multiple aspects, including functional segregation and spatial topography. We found that DMN subnetworks become increasingly functionally segregated from each other and from non-DMN networks with age, and exhibit greater topographic distinctiveness through boundary sharpening and reduced spatial overlap. Furthermore, we observed a selective spatial contraction of the memory-related subnetwork, which correlated with better episodic memory. Our findings underscore the importance of characterizing multidimensional functional and topographical features at the individual level to better understand typical neurodevelopment and neurodevelopmental and psychiatric conditions.

neuroscience↗

bioRxiv2026

NRF2 pathway activation and SPP1⁺TREM2⁺ macrophages drive chemoradiotherapy resistance in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is among the most aggressive cancers, with low rates of durable response to chemoradiotherapy and limited therapeutic options for relapsed disease. To uncover mechanisms of treatment resistance and relapse, we performed comprehensive multi-omics profiling of >100 pre-treatment and post-relapse ESCC tumors from a prospective clinical trial (NCT04694391), integrating whole-exome/genome sequencing, bulk RNA-sequencing, single-cell RNA sequencing, and spatial transcriptomics. We identify somatic alterations in NFE2L2/KEAP1 in nearly 40% of relapsed patients, which are associated with upregulation of NRF2 signaling targets in resistant tumors and cell line models. At single-cell and spatial resolution, relapsed tumors are enriched for NRF2-activated epithelial cells that physically co-localize with immunosuppressive SPP1TREM2 macrophages. This co-localization suggests a synergistic interaction between NRF2-driven tumor programs and macrophage-mediated immune suppression that promotes relapse after chemoradiotherapy. Our findings nominate NFE2L2/KEAP1 mutations as predictive biomarkers for patient stratification and highlight therapeutic targeting of NRF2 signaling and SPP1TREM2 macrophages as rational strategies to overcome resistance in ESCC.

cancer biology↗

bioRxiv2026

A dimer peptide ligand of vascular endothelial growth factor slows the progression of human gastric tumors in mouse xenografts

Gastric cancer is among the most common cancers and represents a major public health problem worldwide. New therapeutic strategies and drugs are needed. Anti-angiogenic agents targeting the Vascular Endothelial Growth Factor (VEGF) are used in combination therapy in the clinic, although their efficacy remains modest. We believe that these large anti-VEGF antibodies could be advantageously replaced by smaller peptides with better tissue penetration. In this study, we evaluate the efficacy of a previously described dimer peptide ligand of VEGF, D6, in inhibiting the proliferation of gastric cancer cells and the growth of the corresponding murine xenograft. The activity of the D6 peptide in these assays was comparable to that of bevacizumab, the positive control antibody, although the peptide required repeated injections at higher molar concentrations. These promising results justify the continued optimization of the peptide dimer, currently under investigation in our laboratory.

pharmacology and toxicology↗

bioRxiv2026

Growth-adaptive spring electronics for long-term, same-neuron mapping in the developing rat brain

Neural activity reorganizes profoundly after birth, transitioning from highly synchronous population events to sparse, decorrelated firing in the mature brain. Although inhibitory maturation and shifts in excitation-inhibition balance have been implicated in this process, how individual neurons implement the transition remains unclear because rapid brain growth has prevented long-term, same-neuron mapping. Here, we introduce growth-adaptive spring electronics that provide depth-wise compliance during tissue expansion, maintaining a stable electrode-tissue interface over weeks of neonatal development. We developed a vision-language model-assisted spike processing pipeline for the developing brain that probabilistically matches units across days using high-density waveform spatial footprints, despite developmental changes in the neonatal brain. Together, these innovations enable spike-resolved mapping of the same neurons in rat visual cortex and medial prefrontal cortex from postnatal day 10 to 45. Using population coupling to quantify each neurons coordination with local population activity, we show that developmental decorrelation is driven primarily by a distinct subset of neurons that progressively shifts from strong to weak coupling during postnatal weeks 3 to 5, whereas other neurons remain stably weakly or strongly coupled throughout development. These results resolve population-level desynchronization into identifiable neuron-specific trajectories. This framework enables direct tests in neurodevelopmental disorder models, including schizophrenia and autism, of whether altered maturation reflects global circuit imbalance or selective disruption and mistiming of specific developmental programs.

bioengineering↗

bioRxiv2026

On-target toxicity of GSPT1 molecular glue degraders in mice

Thalidomide is teratogenic in humans but not in rodents due to species-specific differences in the sequence of Cereblon (CRBN), an E3 ubiquitin ligase targeted by thalidomide and its derivative molecular glue degraders (MGDs). This species divergence has hindered the accurate prediction of MGD-induced toxicities in standard laboratory animals. GSPT1 MGDs, such as CC-90009, have shown potent anticancer activities in preclinical models and leukemia patients; however, their clinical development was challenging due to severe adverse effects. This highlights the critical need to characterize on-target toxicities in relevant animal models to exploit the therapeutic safety of this class of MGDs. Here, we generated humanized CrbnV380E and CrbnV380E/I391V knock-in mouse strains, in combination with a degradation-resistant Gspt1G574N strain, to interrogate the in vivo on-target effects of CC-90009 and its analog CC-885. We found that targeted GSPT1 depletion in mice led to rapid mortality, preceded by multiple dysfunctions including intestinal obstruction, liver damage, splenic atrophy, and hematological abnormalities. Remarkably, these toxicities, along with the underlying transcriptional perturbations, were completely rescued by the undegradable Gspt1G574N mutant, establishing a definitive causal link between GSPT1 degradation and systemic injury. Induced proximity and degradation proteomic analyses revealed that GSPT1 loss triggered a secondary downregulation of many proteins, including MYC, PLK1 and CDK4, which were not directly recruited by these MGDs to CRBN. Collectively, our data define the in vivo on-target toxicities associated with endogenous GSPT1 degradation and provide a genetic framework to guide the preclinical safety evaluation of CRBN-based MGD therapeutics.

molecular biology↗

bioRxiv2026

Artificial Intelligence of Things-Enhanced Automated Surveillance System for Global Antimicrobial Resistance in Food Supply Chain

Antimicrobial resistance (AMR) threatens food safety across the farm-to-fork continuum. Real-time surveillance is crucial to mitigate its global escalation, yet conventional antimicrobial susceptibility testing (AST) remains slow, labor-intensive, and impractical for large-scale monitoring. We developed an Artificial Intelligence of Things (AIoT)-integrated multiplex microfluidic platform enabling automated AMR surveillance of pathogens in food supply chain. Each node combines a single-board AIoT controller (Orange Pi 5B), portable incubator, colorimetric microfluidic chips, and environmental sensors, reducing costs by 98% compared with standard AST. A lightweight YOLOv5 model embedded in the controller achieved >99% accuracy in identifying bacterial growth and inhibition under antibiotic pressure, showing 96% and 95% agreement with standard results for Salmonella and Campylobacter, respectively. Data are synchronized to a cloud server for real-time aggregation and early resistance warning. This fully automated and low-cost system minimizes human error and workload, providing a scalable sample-to-answer solution for AMR surveillance in global agri-food system.

microbiology↗

bioRxiv2026

The effects of breeding timing, clutch size, and nesting strategy on reproductive success in the crested ibis (Nipponia nippon)

O_LIStudying the reproduction process, which is a key determinant of individual and population fitness in endangered species, is challenging but urgently needed. The crested ibis (Nipponia nippon), a flagship endangered species recovering from an extreme population bottleneck, provides a valuable opportunity to examine how life-history strategies shape reproductive success and inform future conservation practices. C_LIO_LIWe monitored 176 breeding pairs of crested ibis over three consecutive breeding seasons and investigated the effects of three key life-history traits, namely breeding timing, clutch size, and nesting strategy (solitary versus colonial), on reproductive success (hatching and fledging success). C_LIO_LIOur analysis found that both hatching and fledging success declined significantly as breeding initiated later, and a positive association between clutch size and reproductive success in this species. These patterns were robust and repeatable across three years. Unlike other closely related species in this family, sibling competition is generally non-lethal, leading to large clutch sizes fledged in this endangered species. We consider this pattern to be a main reason underlying the rapid population recovery observed in the crested ibis. On the other hand, nesting strategy (colonial vs. solitary breeding) had no detectable effect on reproductive success. This pattern indicates the crested ibis can adopt different breeding strategies across habitats, highlighting its capacity to flexibly adjust breeding behavior in response to local environmental conditions. C_LIO_LIOur results provide an integrative assessment of how key life-history traits shape reproductive outcomes in a wild population of the crested ibis, serving as a foundation for evaluating its current status of population recovery and refining future conservation strategies for endangered avian species sharing similar life-history characteristics. C_LI

zoology↗

bioRxiv2026

Nab-paclitaxel fused with the de novo designed receptor binder exhibits enhanced tumor targeting and therapeutic efficacy

Chemotherapy has been widely used in cancer treatment, but most of the chemotherapeutic drugs rely mainly on passive accumulation due to lack of target specificity, which may lead to systemic toxicity and limited clinical utility. Recent advances in artificial intelligence-based protein design provide new opportunities for developing precision therapeutics. Here we modify the albumin-bound paclitaxel (Nab-PTX), one of the most widely used drugs in chemotherapies, by applying the fusion proteins of albumin with the de novo designed protein binders targeting human EGFR or HER2. The resulting particles, EGFRmb-Nab-PTX and HER2mb-Nab-PTX, retain the similar physicochemical properties of Nab-PTX while acquiring the receptor-specific binding capacities. The in vitro assays show that both binder-modified Nab-PTX particles have increased uptake and inhibitory effects significantly in the cancer cell lines with high receptor expression levels. Furthermore, the data from a xenograft model, including tumor growth, excised tumor analysis, organ histology, and fluorescence imaging, show that the binder-modified Nab-PTX enhances tumor accumulation, improves tumor suppression, and reduces off-target toxicity compared with the conventional Nab-PTX, suggesting that they may have promising clinical potential in cancer treatment. Overall, this strategy provides an adaptable modular platform for generating albumin-based chemotherapeutic drugs with target specificities, which can be readily customized with diverse target binders to enable precise cancer therapies.

cancer biology↗