Biology subjects

Feng, Z.

Publications and source records attributed to Feng, Z..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Somatic evolution of a cross-reactive germline antibody that expands its breadth to neutralize new SARS-CoV-2 variants

Rapid antigenic drift of the SARS-CoV-2 receptor-binding domain (RBD) underlies immune escape and continues to challenge the durability of antibody-mediated protection. Among the major classes of RBD-directed antibodies, germline-encoded IGHV3-53 responses are highly potent against early SARS-CoV-2 variants but are generally compromised by Omicron-associated mutations. Here, we identify an intrinsically cross-reactive IGHV3-53 germline antibody that recognizes multiple pre-Omicron variants, including SARS-CoV-2 wild-type, Alpha, and Delta. Notably, we demonstrate that targeted somatic evolution can further expand this breadth to overcome the immune escape of different Omicron variants. Guided by integrated structural and sequence analyses, we introduce four somatic mutations (G26E, T28I, S53P, and Y58F) into the germline antibody, resulting in markedly enhanced binding and neutralization of Omicron BA.1, BA.2, and BA.4/5. High-resolution crystal structures reveal that these mutations re-establish critical interactions disrupted by substitutions on Omicron RBD and optimize affinity at a remodeled epitope interface. Collectively, our findings delineate a structural and mechanistic pathway through which an inherently cross-reactive germline antibody lineage can be adaptively refined to counter highly divergent SARS-CoV-2 variants. This work highlights the underappreciated breadth encoded within the naive B-cell repertoire and provides a conceptual framework for engineering and eliciting antibody responses resilient to future antigenic drift.

immunology↗

bioRxiv2026

Trem2hi macrophages bridge inflammation resolution and fibrosis initiation after ischemia-reperfusion injury in the kidney

Maladaptive repair of acute kidney injury (AKI) may lead to the development of chronic kidney disease (CKD) characterized by renal fibrosis. Macrophages play roles in AKI-to-CKD progression; however, the interplay between inflammation and fibrosis after AKI remains controversial and the precise role of the distinct macrophage subsets remains elusive. In the present study we identified a unique population of Trem2hi macrophages derived from the bone marrow as a mediator bridging inflammation resolution and fibrosis establishment after kidney injury. Trem2 deficient mice exhibited mitigated renal fibrosis after ischemia-reperfusion injury (IRI) while the renal injury and inflammation persisted. Mechanistically, Trem2 promoted renal inflammation resolution by facilitating macrophage efferocytosis to remove apoptotic tubule cells and reshaping the macrophage cytokine production profile. Loss of Trem2 expression led to excessive cholesterol accumulation in macrophages via Lxr-Abca1/Abcg1 axis and thus sustained pro-inflammatory cytokines production. Moreover, Trem2hi macrophages orchestrated the pro-fibrotic tubular epithelial cells and the activation of myofibroblasts through SPP1 to promote the establishment of renal fibrotic niche. Based on our findings, Trem2hi macrophages may serve as a potential therapeutic target for AKI-to-CKD in combination with anti-inflammatory remedies.

immunology↗

bioRxiv2026

Poly(acrylamido) PEG-alternatives Enhance mRNA-LNP Efficacy in Immune Cells and Evade anti-PEG Antibodies During Repeated Dosing

Following the successes of the messenger RNA (mRNA) lipid nanoparticle (LNP) vaccines during the COVID-19 pandemic, mRNA-LNPs are being explored for many critical disease indications including infectious disease vaccination, cancer immunotherapies, and protein replacement therapies. LNPs require a polymer coating to provide stability in storage, and to minimise clearance from the body by reducing protein adsorption after injection. Poly(ethylene glycol)-lipids (PEG-lipids) have fulfilled this role to date, however increasing prevalence of antibodies against PEG in the general population jeopardises the efficacy of future PEGylated LNP doses and increases the likelihood of adverse pseudo-allergic responses. There is, therefore, an urgent unmet need to develop LNPs with new surfaces of PEG-alternative polymers which can evade anti-PEG antibodies, particularly where repeat dosing is required. Here, we present a family of polymer lipids, poly(acrylamido) (PAM) lipids, which effectively replace conventional PEG-lipids in mRNA-LNP formulations. We identify key design parameters to show that PAM-lipid monomer chemistry, molar mass and end-group all have critical effects on LNP size, polydispersity and in vitro transfection efficiencies, while having little impact on LNP morphology or internal structure. We determine that side-group (monomer) chemistry is a key mediator in alleviating anti-polymer antibody cross-reactivity. Compared to clinical benchmark PEGylated LNPs, several PAM-LNPs displayed improved transfection efficacy across multiple mRNA cargos in diverse cell types, organs, and routes of administration, both in vitro and in vivo. In particular, mRNA transfection improved in immune cells both in vitro (up-to 120-fold), and in vivo (up-to 5-fold), including superior mRNA expression in lymph nodes (2.5-fold). In part, this is likely because PAMs increase LNP uptake/association with primary immune cells (BMDCs), and increase biodistribution to the lymphoid tissues (LNs, spleen). Crucially, PAM-LNPs avoid circulating anti-PEG antibodies to recover lost mRNA efficacy after repeated dosing in vivo, 300% higher than PEG-LNPs. Overall, our findings establish the PAM-lipid family as a versatile platform of chemically varied PEG-alternatives, towards the next generation of therapeutic mRNA-LNP technologies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/708093v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@107de1aorg.highwire.dtl.DTLVardef@186b6eforg.highwire.dtl.DTLVardef@1542371org.highwire.dtl.DTLVardef@e2d47f_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

Geospatial foundation models enable data-efficient tree species mapping in temperate montane forests

Accurate mapping of tree species from satellite data remains challenging in heterogeneous mountain forests due to environmental gradients, mixed stands, limited availability of high-purity training labels, and strong illumination-angle effects. Recent geospatial foundation models offer a new approach by learning generic, cloud-agnostic, information-rich representations from large multi-sensor archives suitable for a range of downstream tasks, but their ecological utility for species-level mapping remains incompletely understood. Here, we evaluate two geospatial foundation-model embeddings, AlphaEarth and Tessera, for tree species classification in the Trentino region of northern Italy, using parcel-level forest inventories as reference data (18 species and species groups). We compare their performance against conventional Sentinel-1+2 satellite composites across a series of controlled experiments examining classification accuracy, label efficiency, classifier complexity, robustness to label impurity, and temporal transferability. Foundation-model embeddings consistently outperform composite-based multispectral satellite baselines (weighted F1 = 0.83 vs. 0.80; macro F1 = 0.55 vs. 0.50), reaching near-asymptotic accuracy with as few as 5% of available training parcels and preserving ecologically meaningful structure aligned with functional and taxonomic groupings. However, realising this advantage requires a nonlinear classifier: a compact neural network provides better results than classic machine learning (i.e. Random Forest) and performs as well as deeper neural networks, while a linear classifier on foundation-model embeddings underperforms a neural network on conventional composites. Ancillary environmental covariates offer no additional classification benefit when added to embedding-based models. Classification accuracy remains robust to moderate levels of label impurity, allowing mixed parcels to be retained in the training dataset without substantial penalties, while training with parcel-level species proportions as soft labels achieves higher peak performance (macro F1 = 0.586 for Tessera, 0.589 for AlphaEarth) and lower Proportion L1 error than hard labels without requiring purity filtering, maximising the value of the full range of input data. However, temporal transfer across years reveals performance degradation, with weighted F1 declining by 9% for Tessera and 15% for AlphaEarth, and disproportionate losses for rare species. Overall, our results show that geospatial foundation models shift a primary bottleneck in species mapping from feature engineering toward the availability, quality, and temporal alignment of ecological reference data, while opening new opportunities for scalable biodiversity monitoring and the analysis of ecological change.

ecology↗

bioRxiv2026

Integrative multi-omics and multi-trait analysis prioritizes regulatory mechanisms and genes for metabolic dysfunction-associated steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prevalent condition that progresses from simple steatosis to advanced fibrosis, significantly affecting liver function and systemic health. Despite its widespread impact, therapeutic options are limited, highlighting the urgent need for comprehensive exploration to identify potential therapeutic targets. In this study, we created an analysis pipeline anchored on liver gene expression, integrating differential meta-analysis of transcriptomic data across three MASLD stages, transcriptome-wide Mendelian randomization (MR), and transcriptome-wide association studies (TWAS), to identify 39 candidate genes potentially involved in MASLD progression. Furthermore, we prioritized these genes using a scoring system that incorporated gene expression-clinical phenotype correlation meta-analysis, proteome-wide association studies (PWAS), and external genetic data from the GWAS Catalog and ExPheWAS. Single-nucleus RNA sequencing (snRNA-seq) analysis of liver cells from healthy to cirrhotic stages revealed stage- and cell-type-specific expression patterns of these prioritized genes. Through experimental validation in a lipid overload hepatocyte model, we confirmed the role of MLIP in lipid metabolism. These findings, available through an interactive web portal (masldportal.net), provide valuable insights into MASLD mechanisms and offer an easy-accessible resource for the research community. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/706502v2_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@184c03eorg.highwire.dtl.DTLVardef@6965ccorg.highwire.dtl.DTLVardef@19a5937org.highwire.dtl.DTLVardef@576b53_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

bioRxiv2026

A Single-Cell Temporal Atlas of Mouse Nasal Embryonic Development

The mammals breathe and perceive odors through anatomically and functionally distinct respiratory and olfactory regions of the nose; however, how the early embryo endows this system remains largely unknown. Here, we present a temporal high-resolution single-cell RNA sequencing (scRNA-seq) atlas of mouse nasal development, comprising 183,247 cells collected from 20 embryos spanning embryonic day 10.5 (E10.5) to E18.5. We identified 7 major cell clusters and 52 molecularly defined subtypes, including previously unrecognized rare populations and niche-derived signaling components involved in progenitor cell maintenance. Lineage reconstruction of epithelial and mesenchymal compartments revealed dynamic cell fate transitions and highlighted candidate regulators of lineage specification, including Foxa1 as a regulator of nasal respiratory ciliated epithelium differentiation. Integration with adult nasal epithelium datasets further delineated transcriptional dynamics of olfactory stem cells. This study provides a molecular roadmap of nasal development and offers a valuable resource for future research into nasal biology and regenerative strategies.

developmental biology↗

bioRxiv2026

Coupling of death receptor p75NTR to the RhoA and NF-kB pathways differentially regulates internalization in hippocampal and cerebellar neurons

Receptor internalization regulates the duration and qualitative output of intracellular signaling. Although generic mechanisms of receptor internalization are well characterized, how these are deployed and regulated in different cell types remains much less understood. Here we show that the p75 neurotrophin receptor (p75NTR), a key regulator of neuron survival and function, internalizes in hippocampal (HCNs)and cerebellar granule (CGNs)neurons with very different kinetics, regulated by distinct mechanisms. Compared to HCNs, p75NTR internalizes at a much slower rate and shows stronger interaction with caveolin in CGNs. In both cell types, p75NTR internalization was enhanced by nerve growth factor (NGF)but reduced by inhibitors of the RhoA and PKC pathways. In line with this, internalization of a p75NTR mutant specifically impaired in RhoA signaling was significantly reduced and insensitive to NGF in both neuron types. Accordingly, this mutant showed a much stronger interaction with caveolin than wild type p75NTR. On the other hand, internalization of a mutant specifically impaired in coupling to the NF-kB signaling pathway was greatly accelerated in CGNs but unaffected in HCNs. These results reveal the crucial role of intracellular signaling in p75NTR internalization and demonstrate that the receptor is differentially wired to the endocytosis machinery in different neuron types, leading to distinct internalization behaviors.

neuroscience↗

bioRxiv2026

Characterizing the metabolomes of microglia, astrocytes, and neurons in aging and Alzheimer's brains

Neurons and glia are distinct in their morphology, development, and function, possessing unique transcriptomes and proteomes, but little is known about their metabolomes. The challenge of brain cell metabolic profiling is to obtain a large number of cells for reliable analysis. Here, we purified microglia, astrocytes, and neurons from mouse brains, identifying >70 metabolites through targeted metabolomics and 9,854 metabolite features via untargeted metabolomics. We systematically characterized cell type-enriched metabolites and metabolic pathways, revealing an enrichment of glutathione (GSH) and polyamine metabolism in microglia. This enrichment was validated in vivo and showed significant decreases with aging and in an Alzheimers disease (AD) model. Notably, GSH and polyamine metabolism correlated strongly with chemokine-related gene expression. Disrupting the GSH pathway in microglia resulted in downregulation of chemokine-related genes, aberrant morphogenesis, and {beta}-amyloid deposition. Our results provide a valuable resource (https://metabolismocean.org/braincell) for metabolic studies related to aging, AD, and other neurological diseases.

neuroscience↗

bioRxiv2026

Polyploid cardiomyocytes define disease-specific transcriptional states in the mammalian heart

The adult mammalian heart has a limited regenerative capacity. Following injury, cardiomyocytes undergo a hypertrophic response accompanied by polyploidization, which has been described as a barrier to proliferation and regeneration of the heart1,2. However, the unique molecular programs of polyploidy, or genome multiplied cardiomyocytes, and their influence on the disease-related myocardial remodelling process remains unclear. Here, we integrate single-nuclei and high-resolution spatial multi-omics across human, rat, and mouse hearts to define novel cardiac cell states and their tissue niches in ischemic and non-ischemic heart disease. Computational analysis across scales allowed us to generate detailed networks of the cardiac tissue remodelling process as well as tissue and sub-cellular environments uniquely enriched in polyploid cardiomyocytes or their diploid origins. We identify a conserved, dichotomous transcriptional program distinguishing diploid from polyploid cardiomyocytes. Polyploid cardiomyocytes demonstrated rewired metabolic and chromatin-remodeling transcriptional programs and recapitulate the gene signature of immature human fetal cardiomyocytes. Notably, we observe that polyploid cardiomyocytes--rather than the general myocyte population--are the primary sites of enrichment for major heart-failure drug targets, including the mineralocorticoid, {beta}1-adrenergic, and glucagon-like peptide-1 receptors. Based on our cross-species dataset we further identified TNIK, a Wnt-pathway regulator expressed in polyploid cardiomyocytes across species, as a potential therapeutic target and demonstrate that pharmacological TNIK inhibition improves cardiac function after myocardial infarction in rats. Together, this species-spanning, disease-resolved study redefines cardiomyocyte heterogeneity in heart disease and suggests a therapeutic path to heart failure treatment by targeting polyploid cardiomyocytes.

genomics↗

bioRxiv2026

Heterologous betacoronavirus spike immunization in nonhuman primates elicits cross-reactive antibodies that neutralize both sarbeco- and merbecoviruses

In anticipation of future coronavirus (CoV) pandemics, developing vaccines that elicit broadly neutralizing antibodies (bnAbs) against diverse CoVs is critical. Here, we vaccinated rhesus macaques with SARS-CoV-2 spike (S)-protein, then boosted with heterologous {beta}-CoV S-proteins to focus responses to common conserved S2 bnAb epitopes. Initial SARS-CoV-2 priming elicited receptor-binding domain (RBD)-focused responses, while MERS-CoV boosting redirected responses toward the S2 region, including the stem-helix bnAb site. Although S2-directed serum cross-neutralization was undetectable and most isolated cross-reactive monoclonal antibodies (mAbs) targeted non-neutralizing epitopes, two S2 stem-helix mAbs were identified from memory B cells. These bnAbs neutralized diverse sarbeco- and merbecoviruses, including MERS-CoV, and conferred robust in vivo protection against SARS-CoV-2 challenge. Structural studies revealed that these macaque bnAbs closely mimic human S2-stem bnAbs induced by infection. These findings provide proof-of-principle for vaccination strategies that elicit broadly protective {beta}-coronavirus responses and highlight non-human primates as a translational model for evaluating S2-targeted immunogens.

immunology↗

bioRxiv2026

Discovery of potent oligopeptides for various metabolic diseases using deep learning

Artificial intelligence (AI)-based methods are increasingly critical in peptide drug discovery, but their applications are limited in a narrow scope such as antimicrobial peptides. For indications where peptide therapy inherently excels, such as metabolism, endocrinology, and tissue regeneration, AI-based pipeline for therapeutic peptide discovery is long awaited but still unmet. Here, we propose a deep learning-based pipeline, Deepeptide, capable of identifying therapeutic oligopeptides for various metabolism-related indications. Leveraging the intrinsical relationship of disease indication -- biological processes -- molecular functions, Deepeptide discovers oligopeptides with indication-ameliorating-related molecular functions as lead candidates for indication of interest. Deepeptide was applied in five representative indications of metabolism, endocrinology, and tissue regeneration: angiogenesis, lipid metabolism, osteogenesis, glucose metabolism, and anti-angiogenesis. Overall, 62% of the identified oligopeptide candidates demonstrated significant bioactivity in vitro, with most of them showing comparable potency to the first-line drugs. Notably, the heptapeptide AP7 exhibited angiogenic potency comparable to VEGF in excisional wound splinting mouse model by promoting cell migration rather than proliferation, and hexapeptide TP6 showed significant dual-efficacy against hyperlipidemia and obesity in high-fat diet mice by inhibiting lipid synthesis and regulating gut microbiota. These findings highlight the potential and generalizability of Deepeptide in therapeutic oligopeptide discovery for metabolic diseases.

bioinformatics↗

bioRxiv2025

Efficient Generation of Humanized Cloned Cattle via Embryonic Stem Cell-Mediated Dual-Round Site-Specific Editing

Transgenic cloning allows genetic modification in cattle, yet its translational potential is constrained by low cloning efficiency and limited gene-editing capacity, due largely to the restricted proliferative ability of somatic donor cells. Pluripotent stem cells (PSCs), with their unlimited self-renewal ability, represent a promising alternative to overcome these bottlenecks. Here, we first established stable bovine epiblast stem cell lines (bEpiSCs) and achieved site-specific integration of the HCSN2-HLF-GFP cassette into the {beta}-casein locus, with high transfection (72.07%) and correct integration efficiency (80.48%). Following Cre LoxP mediated excision of the selectable marker, we obtained marker free HCSN2-HLF bEpiSCs that retained pluripotency markers, tri lineage differentiation potential, and supported target protein expression in immortalized bovine mammary epithelial cells. When used as nuclear donors, these cells produced blastocysts with quality comparable to in vitro fertilization (IVF) embryos. Notably, cloning with HCSN2-HLF bEpiSCs resulted in the birth of twelve calves, with significantly higher birth and survival rates (30.71% and 16.74%, respectively) than those obtained using fibroblasts. Both PCR-based genotyping of the edited loci and microsatellite kinship analysis confirmed that all cloned calves were genetically derived from the HCSN2-HLF bEpiSCs. Collectively, this study establishes an efficient embryonic stem cell based platform for targeted gene editing and rapid production of multigene edited cloned cattle, offering a scalable strategy with strong potential for industrial translation.

bioengineering↗

bioRxiv2025

The Cortical Temporal Axis: MEG-Based Cross-Frequency Gradients with Biological Anchors

Neural oscillations have long been used to characterize the temporal dynamics of individual brain regions, yet a parsimonious, system-level representation that integrates multi-rhythmic activity has been lacking. Using source-localized resting-state magnetoencephalography (MEG) data, we computed regional power spectra and assessed spectral similarity, then applied diffusion map embedding to construct cross-frequency neurophysiological gradients that place whole-brain oscillations within a unified, low-dimensional coordinate system. We found the first three gradients accounted for over 40% of the variance, remained stable across individuals, and aligned with established functional, structural, and geometric cortical axes. Computational modeling showed that these gradients reflect local excitation-inhibition balance, while multimodal analyses revealed strong associations with neurotransmitter receptor distributions, cytoarchitecture, and cell-type-specific gene expression. Lifespan analyses further demonstrated systematic gradient reorganization, with distinct cognitive mappings onto functions such as language, memory, and multisensory integration. Clinically, Parkinsons disease patients displayed disrupted gradients, particularly in regions linked to language and social cognition. Finally, these gradient patterns exhibited high test-retest reliability. These findings establish MEG-derived neurophysiological gradients as robust, low-dimensional representations of cortical organization, offering a biologically grounded framework for studying brain aging and disease.

neuroscience↗

bioRxiv2025

Human coronavirus HKU1 neutralization by glycan receptor mimicry

Entry of seasonal human coronavirus HKU1 (HCoV-HKU1) into host cells is facilitated by sequential binding to sialoglycans and transmembrane serine protease 2 (TMPRSS2) receptors. However, the neutralizing capacity of antibodies disrupting these receptor interactions have not been examined. Here, we describe the isolation and characterization of a human monoclonal antibody (mAb) HKU1-2 that recognizes the HCoV-HKU1 spike protein and exhibits dose-dependent neutralization of the virus. Epitope mapping and structural analysis revealed that HKU1-2 mAb targets the sialoglycan binding site in the N-terminal domain of the spike protein. A cryo-electron microscopy (cryo-EM) structure of the spike-Fab complex further demonstrated the ability of HKU1-2 to mimic sialic acid binding thereby effectively blocking sialoglycan receptor engagement. HKU1-2 binding is primarily mediated by CDRH3 recognition of NTD residues K80 and W89 that are known to be critical for sialic acid engagement. Overall, our results demonstrate antibody recognition and neutralization of HCoV-HKU1 by receptor mimicry.

immunology↗

bioRxiv2025

Molecular mechanism of the key dormancy regulator DosR-dependent transcription activation in Mycobacterium tuberculosis

Mycobacterium tuberculosis (Mtb) is the etiological agent responsible for the worldwide disease Tuberculosis. DosR is recognized as the key dormancy regulator of Mtb due to its global transcriptional regulation in intracellular adaptation and long-term persistence prevailing in latent infection. However, the molecular mechanism regarding DosR-dependent transcription activation remains inadequately defined. Here, we successfully determined the cryo-EM structure of an intact DosR-dependent transcriptional activation complex (DosR-TAC), comprising Mtb RNA polymerase (RNAP), DosR, and the hypoxic promoter DNA. In DosR-TAC, two DosR monomers symmetrically dimerize through their N-terminal receiver domains (DosR_RECs) and the distinct 10 helices of the C-terminal DNA-binding domains (DosR_DBDs). Unlike its inhibitory configuration, the DosR dimer undergoes significant conformational changes within the original linker, isomerizing DosR_REC into a canonical ({beta})5 fold. This extended linker affords the DosR_DBDs and DosRI_REC to contact promoter DNA, while concurrently interacting with the conserved domains of RNAP ({sigma}AR4, CTD, and NTD). Additionally, RT-qPCR and growth curve assays of the wild-type and DosR mutant strains, also unravel the physiological importance of this divergent linker. These findings, together with prior hypotheses regarding DosR, support an allosteric activation-recruitment model for DosR. Altogether, these results highlight the molecular mechanism of DosR-dependent transcription activation critical for dormancy survival of Mtb, and offer potential targets for developing anti-dormancy strategies against persistent tuberculosis.

microbiology↗

bioRxiv2025

Programming Microbe-Computer Interaction for Customized Life-Nonlife and Cross-Life Communication

This extension of human-computer interaction (HCI) paradigm to the non-intelligent microbe-computer interaction (MCI) is attractive for building generalized life-nonlife communication. Main challenges lie in how to construct biohybrid interface within individual MCI unit and thereafter program cross-life communication based on these MCI units. Here, we propose the design and construction of opto-interfaced MCI unit composed of engineered microbes and computer terminals, for enabling quantifiable transduction between microbial signals and digital signals. These units were able to serve as biohybrid sensors, actuators and transceivers, supporting biomonitoring, bio-actuation and microbe-centric bidirectional operations. Based on these functional units, we established programmable cross-life communication architectures capable of unicast, multicast, and logic-gate-driven communication with temporal dynamic control. The architectures were validated in biomedical scenarios including tumor hypoxia biomarking, epidermal heavy metal detoxification, and colitis intervention, demonstrating robust performance in closed-loop diagnostic-therapeutic applications. Additionally, we integrated MCI with an unmanned surface vessel for environmental monitoring, highlighting its cross-domain potential. Collectively, we provide a scalable strategy for building customized life-nonlife and cross-life communication, which is expected as an important complement to internet of things (IoT).

synthetic biology↗

bioRxiv2025

Dual DNA-binding capability of Cdc13 coordinates with Ku to safeguard telomere integrity

In eukaryotes, telomeres, nucleoprotein complexes assembled on telomeric 3-overhang DNA, protect linear chromosome ends from degradation and inappropriate DNA repair. In budding yeast, Saccharomyces cerevisiae, telomere assembly involves the Cdc13-Stn1-Ten1 (CST) complex, the Ku70-Ku80 (Ku) complex, and the Rap1-Rif1-Rif2 complex. Among these, the CST complex, centered on the binding of the G-rich single-stranded region by the Cdc13 subunit, is essential for telomere maintenance and protection. Here, we show that Cdc13 also interacts with the duplex DNA adjoining its bound single strand. This junction binding enables Cdc13 to reposition the Ku complex, potentially suppressing Ku-mediated end joining, while allowing the Cdc13 and Ku complexes to synergize in protecting telomeric DNA ends, a function that can be disrupted by mutation of a conserved residue (K504E). cdc13-K504E cells remain viable but are hypersensitive to Exo1 overexpression, particularly when combined with ku80{Delta}. Surprisingly, cdc13-K504E and other telomere protection mutants are prone to adaptive metabolic reprogramming during stationary-phase growth, leading to increased fitness. This reprogramming is inheritable and centers on elevated expression of thiamine biosynthesis, salvage, and intake pathways. Our findings reveal a stress-induced adaptive response associated with telomere erosion, indicating that telomere erosion may serve as a timer for its activation.

biochemistry↗

bioRxiv2025

Development of LYTACs via incorporating a nucleolin-targeting and lysosome-directed aptamer

Lysosomal targeting chimeras (LYTACs) represent an emerging class of bifunctional molecules that bridge extracellular target proteins with intrinsic lysosome-targeting receptors (LTRs) on the cell surface, facilitating endocytic internalization and subsequent lysosomal degradation of the targets. However, the therapeutic potential of LYTACs has been limited by the scarcity of suitable intrinsic LTRs. We previously identified an aptamer, SAPT8, that selectively targets nucleolin, a shuttling protein overexpressed on the surface of pathogenic FLSs in rheumatoid arthritis (RA), and induced its lysosomal degradation. In this study, we repurposed SAPT8 as a tumor-targeting and lysosome-directed ligand, leveraging the elevated expression of NCL on tumor cell surfaces. By conjugating SAPT8 with either the c-Met-binding aptamer SL1 or the small molecule inhibitor Tepotinib, we engineered novel LYTACs that demonstrated potent tumor-targeting capability and induced concurrent degradation of both c-Met and NCL, leading to significant antitumor effects. Furthermore, fusion of SAPT8 with VEGFR-2-targeting aptamer Apt02 generated LYTACs that simultaneously degraded VEGFR-2 and NCL, effectively suppressing RA-FLS activity. These results establish SAPT8 as a versatile platform for developing next-generation LYTACs, overcoming current limitations in extracellular protein degradation by circumventing dependence on endogenous LTRs. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=69 SRC="FIGDIR/small/672993v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@975b74org.highwire.dtl.DTLVardef@f55565org.highwire.dtl.DTLVardef@b9639corg.highwire.dtl.DTLVardef@13aaba7_HPS_FORMAT_FIGEXP M_FIG C_FIG

pathology↗