Biology subjects

Park, S.

Publications and source records attributed to Park, S..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Biological nitrification inhibition compromises the soil methane sink

Biological nitrification inhibition (BNI) is a plant-mediated process that suppresses nitrification and is widely considered beneficial for reducing nitrous oxide emissions. Here, we show that BNI compounds also inhibit methane oxidation by methanotrophic bacteria, revealing a previously unrecognized trade-off in greenhouse gas regulation. Across soil bioreactor systems and pure cultures of both Type I and Type II methanotrophs, BNI compounds consistently suppressed methane oxidation activity. Kinetic analyses indicated an uncompetitive-like inhibition pattern, characterized by concurrent decreases in Vmax and Km, while reversibility assays showed that inhibition was not associated with loss of cellular viability. Experiments under copper-replete and copper-depleted conditions further showed that inhibition is predominantly associated with particulate methane monooxygenase (pMMO). Transcriptomic analyses demonstrated compound-specific responses, including suppression of methane oxidation pathways and differential regulation of stress-associated genes. These findings suggest that BNI-mediated inhibition of methane oxidation may offset reductions in nitrous oxide emissions, with implications for predicting net greenhouse gas fluxes in agricultural and wetland ecosystems. Incorporating BNI effects into biogeochemical models will be critical for accurately evaluating their role in the global methane budget.

microbiology↗

bioRxiv2026

Intrinsically disordered ligands for the control of receptor uptake by endocytosis

Endocytosis plays a crucial role in signaling, recycling, and degradation of receptors. Controlling endocytosis of specific receptors is therefore a major goal for both basic science and medicine. While antibody-induced dimerization can drive signaling-induced uptake of some receptors, the steric bulk of antibodies generally inhibits endocytosis, such that control over receptor uptake remains an unmet need. Recent work has demonstrated that attractive interactions between intrinsically disordered proteins drive inward membrane curvature, a key step in endocytosis. To harness this phenomenon for the control of receptor uptake, we designed chimeras that consisted of disordered domains fused to ligands for specific receptors. These chimeras condensed on membrane surfaces, driving receptor clustering and uptake via clathrin-mediated endocytosis. In contrast, chimeras that repelled one another resisted condensation, helping receptors escape endocytosis and remain on the cell surface. Taken together, these results suggest that by modulating the amino acid sequence of intrinsically disordered ligands, we can promote or hinder the internalization of specific receptors by endocytic pathways. More broadly, these findings suggest a generalizable strategy for controlling the plasma membrane lifetime of diverse receptors, opening up new pathways for modulating cellular behavior and delivering therapeutics. Significance StatementCells regulate signaling by continuously internalizing receptors from their surfaces using endocytosis. Controlling receptor internalization would provide new tools for addressing diverse diseases. While antibodies can cluster specific receptors on the cell surface, their steric bulk and rigidity inhibit endocytosis. In contrast, here we demonstrate that engineered ligands containing intrinsically disordered domains form flexible complexes that precisely control receptor internalization. Disordered ligands that attract one another condense receptors at sites of endocytosis, driving uptake, while repulsive disordered ligands prevent condensation such that receptors remain on the cell surface. By tuning the amino acid sequence of the disordered domain, a ligand can be switched from promoting to inhibiting receptor internalization, offering the opportunity to control cell signaling and therapeutic delivery.

biophysics↗

bioRxiv2026

Distinct Spatial Programs of Response versus Resistance in Non-Small Cell Lung Cancer after Neoadjuvant Chemoimmunotherapy

BackgroundNeoadjuvant chemoimmunotherapy (nCIT) has become a standard treatment for locally advanced resectable non-small cell lung cancer (NSCLC), yet the spatial biology underlying treatment resistance remains poorly understood. We used spatial transcriptomics to define the microenvironmental architecture of residual cancers in patients who did not achieve major pathologic response (non-MPR) compared with those who did (MPR). MethodsSpatial transcriptomics was performed on 10 formalin-fixed paraffin-embedded (FFPE) tumor blocks (5 MPR, 5 non-MPR) obtained from 8 patients treated with nCIT. A deep learning algorithm was applied to detect viable residual cancer spots from treatment-induced fibrosis and necrosis. Spatial deconvolution, distance modeling, ligand-receptor analysis, and functional pathway scoring were integrated to characterize niche-specific programs. ResultsMPR cancer core displayed an immune-permissive remodeling environment with deep infiltration of cytotoxic CD8+ T cells, mature dendritic cells (LAMP3+, CCR7+), and active efferocytosis signaling (APOE-TREM2), alongside robust MHC class II expression. Non-MPR cancer core, by contrast, exhibited spatial immune exclusion: a dense fibroblast barrier reinforced by TIMP1-CD63 signaling and Treg-enriched boundaries physically restricted effector T cell access to the cancer core. Residual cancer cells in non-MPR samples maintained active cell cycling and independently upregulated cytochrome P450-mediated drug detoxification and DNA damage response pathways without inducing MHC class II expression -- effectively decoupling intrinsic survival from immune recognition. The non-MPR core also showed a hyper-metabolic profile, including elevated glutathione metabolism consistent with antioxidant buffering against chemotherapy-induced oxidative stress. TROP2 was broadly expressed across the non-MPR cancer core and co-localized with DNA damage response and nuclear factor erythroid 2-related factor 2 resistance signatures. ConclusionsResidual cancer cores in non-MPR tumors appear to represent evolved resistant niches sustained by structural immune exclusion, metabolic rewiring, and DNA repair proficiency. These findings highlight the spatial co-localization of epithelial anchors, such as TROP2, with intrinsic resistance pathways, providing a structural rationale for developing novel precision therapeutic strategies to bypass stromal barriers and overcome the cancer cores intrinsic repair capacity.

cancer biology↗

bioRxiv2026

Retrosplenial cortex vulnerability links severe hypoglycemia to cognitive impairment through neuron-microglia crosstalk

Severe hypoglycemia remains a serious adverse effect of insulin therapy in individuals with diabetes and is linked to cognitive decline, yet the mechanisms by which transient metabolic stress leads to persistent neuronal dysfunction remain poorly defined. Using mouse models of acute severe hypoglycemia and integrated screening, we identified the retrosplenial cortex as a previously unrecognized brain region that is particularly vulnerable to hypoglycemia-induced neuronal damage. This injury is driven by a feedforward interaction between neuron-specific Drp1-dependent mitochondrial fission and microglial IL-1 signaling, as pharmacological or genetic targeting of either pathway suppressed the other, rescued neuronal damage, and reversed cognitive impairment. These findings identify a region-specific neuron-microglia injury circuit that links severe hypoglycemia to cognitive dysfunction and suggest a therapeutic strategy to protect brain function without compromising diabetes management.

neuroscience↗

bioRxiv2026

Network-targeted TMS modulates task-related striatal activity during motor skill learning

The striatum, a critical hub for motor skill learning, is located deep within the subcortical region, making noninvasive stimulation particularly challenging. Nevertheless, recent studies suggest that transcranial magnetic stimulation (TMS) can modulate subcortical activity indirectly by targeting functionally connected cortical areas. In this study, we applied TMS to the dorsolateral prefrontal cortex (DLPFC) immediately before the fMRI session measuring task-related activity in the striatum during motor learning. We examined whether continuous theta-burst stimulation (cTBS) and high-frequency stimulation (20 Hz) could modulate motor learning and associated striatal responses with opposing effects. There was no significant effect of either stimulation condition on the overall motor learning performance. However, cTBS significantly reduced performance-related striatal activity, while 20 Hz stimulation did not show any modulatory effect. These findings demonstrate that cTBS targeting the corticostriatal network can suppress striatal activity and suggest its potential use in clinical trials for treating disorders such as addiction associated with hyperactive striatal responses.

neuroscience↗

bioRxiv2026

Deciphering context-dependent epigenetic program by network-based prediction of clustered open regulatory elements from single-cell chromatin accessibility

Large cis-regulatory domains, spanning tens to hundreds of kilobases, are pivotal in orchestrating cell-state-specific transcriptional programs that define cellular identity. However, existing single-cell analytical frameworks lack the capacity to identify these higher-order structures, thereby obscuring the coordinated, domain-level epigenetic regulation essential for complex biological processes. To address this, we introduce enCORE, a computational framework that leverages enhancer-enhancer interaction networks to determine Clustered Open Regulatory Elements (COREs) solely from single-cell ATAC-sequencing data. Our approach faithfully recapitulates established hematopoietic hierarchies and resolves lineage-specific regulatory programs by recovering canonical master transcription factors, frequent chromatin interactions, and enrichment of fine-mapped immune-related disease-associated genome-wide association study (GWAS) variants. In colorectal cancer, enCORE captures tumor-associated H3K27ac landscapes and prioritizes USP7 as a potential therapeutic candidate, supported by in silico perturbation. Collectively, our framework provides a powerful and scalable platform for deciphering the complex epigenetic architectures underlying human development and disease.

bioinformatics↗

bioRxiv2026

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer

Predicting treatment response remains challenging in oncology, particularly given the growing diversity of therapeutic options. Despite efforts using gene expression signatures, or integrative multi-omics frameworks, robust and interpretable biomarkers remain limited. We present SubNetDL, a deep learning framework that integrates subclonal mutation profiles and protein-protein interaction networks via network propagation. Unlike condition-specific approaches, SubNetDL leverages somatic mutations alone and is applicable across diverse cancer types and treatment modalities. Applied to ten TCGA cancer-drug combinations, SubNetDL achieved consistently strong performance (median AUROC = 0.74) and successfully generalized to two independent immunotherapy datasets (median AUROC = 0.77). Importantly, it identified candidate biomarker genes with treatment-specific relevance. SubNetDL prioritized genes that were not central in the network, highlighting its ability to capture context-specific patterns beyond traditional metrics. In conclusion, our approach offers a robust and interpretable framework for identifying predictive biomarkers and stratifying patients based on mutation profiles and network context. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/711567v1_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@d31c74org.highwire.dtl.DTLVardef@1f12b13org.highwire.dtl.DTLVardef@430916org.highwire.dtl.DTLVardef@109a13c_HPS_FORMAT_FIGEXP M_FIG C_FIG MotivationIntratumoral heterogeneity is a fundamental driver of therapeutic resistance, yet most predictive models rely on aggregate mutational burdens or static gene expression signatures, overlooking the subclonal dynamics that shape treatment outcomes. While network biology offers a functional lens to interpret genomic alterations, a framework that explicitly bridges subclonal architecture with system-level molecular interactions has been lacking. To address this, we developed SubNetDL, a deep learning framework that integrates patient-specific subclonal profiles with protein-protein interaction networks. By leveraging only somatic mutation data, SubNetDL captures the functional convergence of subclonal evolution, providing a robust and interpretable platform for patient stratification and biomarker discovery across diverse oncological contexts.

cancer biology↗

bioRxiv2026

Circulating miR-10b-5p drives Kawasaki vasculitis through endothelial reprogramming and nominates CXCL8 as an early diagnostic biomarker

BackgroundKawasaki disease (KD) is an acute systemic vasculitis of unknown etiology and the leading cause of acquired heart disease in children. Coronary artery aneurysm formation represents its most serious complication, yet no specific biomarker exists for early diagnosis at emergency department (ED) presentation. We sought to define the molecular mechanisms driving KD vasculitis and to identify a clinically actionable early diagnostic marker. MethodsWhole microRNA sequencing was performed on buffy coat specimens from KD patients and febrile controls presenting to the ED. Disease-associated miRNA candidates were validated in two independent murine KD-like vasculitis models: Lactobacillus casei cell wall extract (LCWE; n=12-20) and Candida albicans water-soluble fraction (CAWS; n=12). The functional role of miR-10b-5p was assessed by antagomir-mediated inhibition in the LCWE model. Transcriptomic and chromatin-level reprogramming were characterized by single-cell RNA sequencing (scRNA-seq), bulk RNA-seq, and assay for transposase-accessible chromatin with sequencing (ATAC-seq) in human coronary artery endothelial cells (HCAECs). Transcription factor binding was validated by in vitro binding assays and chromatin immunoprecipitation. Serum chemokine (C-X-C motif) ligand 8 (CXCL8) was quantified by enzyme-linked immunosorbent assay. ResultsForty miRNAs were upregulated in KD patients and fourteen miRNAs were prioritized for further analysis. miR-10b-5p was consistently elevated across both vasculitis models, and its antagomir-mediated inhibition attenuated aortic root inflammation in vivo. In HCAECs, miR-10b-5p suppressed its direct targets marker of proliferation Ki-67 (MKI67)/Chromobox5 (CBX5), driving a cell-state transition from proliferative/metabolic programs toward a pro-inflammatory phenotype. Consistently, analyses of bulk RNA-seq supported cell-cycle arrest and altered chromatin remodeling. ATAC-seq revealed increased chromatin accessibility at the CXCL8 and Matrix metalloproteinases 10 (MMP10) promoters, and motif analysis identified CCAAT/enhancer-binding protein alpha (CEBPA) as the key transcriptional activator; CEBPA knockdown abrogated miR-10b-5p-induced CXCL8 and MMP10 upregulation. Serum CXCL8 was markedly elevated in KD patients relative to febrile controls at first ED presentation, prior to definitive diagnosis, and declined significantly at 8-week follow-up. ConclusionsWe define a miR-10b-5p-MKI67/CBX5-CEBPA-CXCL8 axis as a mechanistic driver of endothelial reprogramming and neutrophil-recruiting inflammation in KD. Serum CXCL8 emerges as a candidate early diagnostic biomarker that may facilitate timely KD recognition at ED presentation.

molecular biology↗

bioRxiv2026

RRTF1 promotes touch-responses in Arabidopsis shoots independent of jasmonic acid

Plants acclimate to mechanical stimuli such as touch and wind via thigmomorphogenesis, a suite of developmental responses that alter their growth and architecture. However, the early signaling mechanisms translating mechanoperception into long-term morphological changes remain incompletely understood. We investigated the role of the rapidly touch-induced transcription factor RRTF1 (REDOX RESPONSIVE TRANSCRIPTION FACTOR 1) in these processes. Phenotypically, under aggressive mechanical stimulation, rrtf1 mutant exhibited attenuated stunting (less height reduction). This suggests a key role for RRTF1 in promoting thigmomorphogenic responses under severe mechanical stimuli, though the rrtf1 mutant responded similarly to wild-type under gentle, repeated brushing. The alleviation of growth stunting in rrtf1 was largely jasmonic acid (JA)-independent. Transcriptome analysis at 10 minutes post-touch revealed that rrtf1 mutant maintained approximately 86% of wild-type touch-responsive gene expression. Nevertheless, RRTF1 modulated specific regulons, partly through an interplay with WRKY transcription factors, as evidenced by altered TF binding motif enrichment in RRTF1-specific differentially expressed genes. We conclude that RRTF1 acts as a modulator of early touch signaling in Arabidopsis shoots. It is not essential for the bulk of the initial transcriptional response but fine-tunes specific gene sets and plays a crucial role in calibrating long-term thigmomorphogenic development, particularly by promoting growth inhibition under severe mechanical stimulation. This study provides insights into the alleviation of touch-induced growth inhibition in rrft1 mutant, which might be relevant to breeding for crops that are planted in high density and experience constant physical contact with neighboring plants.

plant biology↗

bioRxiv2026

Parabrachial Ntsr1 neurons modulate food intake and anxiety through a projection to the ventromedial hypothalamus

The parabrachial nucleus (PBN) is an important hub located in the pons that relays sensory signals from peripheral regions. It is genetically diverse and contains many populations that modulate feeding and responses to threatening situations. A small Ntsr1-expressing population of neurons was identified that projects selectively to the ventromedial hypothalamus (VMH). The Ntsr1 neurons are scattered throughout the lateral PBN with a cluster of cells along the border to the nucleus of the lateral lemniscus (NLL) that overlap with Cck and Foxp2 expression. Chemogenetic activation of PBN Ntsr1 neurons results in Fos induction in Nr5a1 (SF1) and Bdnf neurons in the VMH. Activation of PBN Ntsr1 neurons or their terminals in the VMH reduces food intake after fasting and increases anxiety-like behaviors. In anxiogenic feeding assays, activation of PBN Ntsr1 neurons increases latency to feed as well as reducing food intake. Photometry showed that PBN Ntsr1-neuronal activity increases during anxiogenic situations but is suppressed during food consumption, suggesting a role in threat-induced suppression of feeding. Silencing PBN Ntsr1 neurons with tetanus toxin light-chain increased food intake and reduced anxiety. These findings reveal a genetically defined PBN to VMH circuit that responds to threats and suppresses feeding behavior. SignificanceThis study explored a population of Ntsr1 mRNA-expressing neurons in the parabrachial nucleus (PBN) that project selectively to the ventromedial hypothalamus (VMH). Stimulation of PBN Ntsr1 neurons and their terminals in the VMH decreased feeding and increased anxiety, results that resemble those achieved by activating VMH neurons, implicating the Ntsr1 neurons as part of the circuitry that controls feeding and anxiety. Because PBN Ntsr1 neurons are activated by aversive stimuli, they are posited to help mice suppress feeding in risky environments.

neuroscience↗

bioRxiv2026

pH-Dependent Silica Nanoshell Degradation Influences SERRS Enhancement in Biological Environments

Silica-encapsulated gold nanostars (AuNStar-SiO2) are a widely used plasmonic nanoparticle platform for surface-enhanced resonance Raman scattering (SERRS) bio-applications. In this paper, we demonstrate that coupled nanostar subpopulations can dominate the ensemble-average SERRS response of the suspension and that near-neutral standard cell culture conditions are sufficient to hydrolyze the silica nanoshell and introduce variability in signal intensity following in vitro endocytosis. Monomeric and oligomeric AuNStar-SiO2 fractions were isolated using continuous density-gradient centrifugation and monomeric populations were found to exhibit significantly weaker SERRS compared to their oligomeric counterparts. Using monomer-enriched AuNStar-SiO2, we investigated the stability of the silica nanoshell under conditions representative of sequential acidification during endocytosis and characterized the subsequent changes to nanoparticle optical properties. In acidic environments, reflecting lysosomal pH, the silica shell was stable, whereas near-neutral and alkaline conditions in cell culture medium induced silica-shell hydrolysis, nanostar release, and interparticle aggregation, leading to transient SERS amplification. When cells were treated with AuNStar-SiO2 under near-neutral and acidic conditions, we observed the opposite trend in SERS signal strength. At pH 7.4, the SERRS signal was suppressed even though transmission electron microscopy (TEM) images of intracellular nanoparticles showed progressive extents of silica hydrolysis, while at pH 6.4 SERS signal was strong and the silica shell of intracellular nanoparticles remained intact. Together, these findings show how SERRS output can differ between control conditions and biological applications, highlighting the role that local environmental factors play in nanoparticle stability and performance. Our results highlight the previously overlooked role of silica nanoshell instability on SERRS signal output in physiological environments and describe opportunities to harness silica nanoshell hydrolysis to improve the biomedical application of silica-coated plasmonic probes.

bioengineering↗

bioRxiv2026

Field-isolate recombinant tick-borne encephalitis viruses define reporter-stability guidelines for antiviral screening in flaviviruses

As arthropod-borne viruses continue to threaten populations globally, there is a pressing need for experimental systems that enable rapid antiviral discovery. Reverse-genetics platforms producing recombinant reporter orthoflaviviruses have been developed to address this gap. Here, we present two new recombinant tick-borne encephalitis viruses (TBEVrec) generated on a European-subtype Haselmuehl Tiho1 isolate backbone. A reporter gene, either eGFP or Nluc, was inserted in the capsid-coding region of the genome downstream of the capsid RNA regulatory signal and separated from the complete viral polyprotein by a 2A self-cleaving peptide. TBEVrec was better rescued using the circular polymerase extension reaction (CPER) than with the infectious subgenomic amplicon (ISA) method. TBEVrec replicated efficiently in relevant human cell lines, with comparable replication to wild-type TBEV in a neuronal cell line and moderately reduced titers and RNA levels in immune-derived cell lines. Using either eGFP or Nluc, we illustrate how TBEVrec enabled high-content RNAi screening, highlighting Nucleolin and PRKD1 as potential TBEV host factors, and drug testing on a benchtop plate reader. Nanopore sequencing of the eGFP insert revealed that the reporter is excised without affecting flanking regions. Comparative analysis of eGFP and Nluc further shows that this instability is time- and cell type-dependent, and that Nluc is comparatively more stable. From these observations, we outline safeguards and design principles that are broadly applicable both to the rescue of existing constructs and to the design of future recombinant reporter virus platforms.

microbiology↗

bioRxiv2026

TAZ (Wwtr1) deficiency leads to ER stress and mitochondrial dysfunction in a mouse model of Fuchs' endothelial corneal dystrophy

Fuchs endothelial corneal dystrophy (FECD) impacts over 300 million individuals worldwide with corneal transplantation as the primary treatment. There is a dire need to establish non-surgical alternatives which are dependent on mouse models. Transcriptional co-activator with PDZ-binding motif (TAZ, encoded by Wwtr1) is a mechanotransducer implicated in maintaining homeostasis of corneal endothelial cells (CEnC). Wwtr1-/- (TAZ KO) mice serve as an animal model for late-onset FECD. We combined single-cell transcriptomics, transmission electron microscopy, and immunofluorescence staining to elucidate the mechanisms driving pathogenesis in young (2-month-old) and geriatric (11-month-old) mice. A progressive stress response was observed in TAZ KOs defined by endoplasmic reticulum (ER) stress, mitochondrial structural and functional abnormalities, and impaired Na+/K+ ATPase localization. These changes were accompanied by an altered expression of genes involved in extracellular matrix (ECM) organization, oxidative phosphorylation, macroautophagy and response to oxidative stress. Additionally, we noted age-related differences in cellular response with young TAZ KO CEnCs upregulating macroautophagy and downregulating ECM organization while geriatric TAZ KO CEnCs downregulated macroautophagy, and ECM organization. Both TAZ KO groups downregulated response to oxidative stress and cell-substrate adhesion. Together, these findings establish a mechanistic link between disrupted mechanotransduction and organelle stress in CEnC degeneration, further elaborating on potential mechanisms driving FECD pathogenesis. This positions TAZ KO mice as a translational platform for evaluating non-surgical therapeutic strategies targeting FECD. Significance statementFuchs endothelial corneal dystrophy (FECD) is a common, age-related cause of vision loss involving a depletion of corneal endothelial cells (CEnC) that necessitates corneal transplantation. Understanding why corneal endothelial cells progressively fail in this disease is essential for developing non-surgical therapies. Using transcriptomics, electron microscopy and immunofluorescence staining, we demonstrate that loss of the mechanotransducer TAZ disrupts cellular homeostasis by inducing endoplasmic reticulum stress, mitochondrial dysfunction and improper extracellular matrix and functional protein organization in CEnCs. By linking altered mechanotransduction to organelle stress and endothelial cell loss, these findings provide insight into fundamental disease mechanisms and identify pathways that may be targeted to preserve corneal endothelial function in FECD.

pathology↗

bioRxiv2026

The buried S2 apex of SARS-CoV-2 spike elicits an immunodominant germline-restricted public antibody response

The continued mutational pressure on the SARS-CoV-2 S1 subunit underscores the need to target the conserved S2 region for pan-coronavirus vaccine development. A detailed molecular understanding of S2-directed immune responses is therefore essential. In this study, we identified the S2 apex as the most immunodominant epitope within the S2 subunit, eliciting robust antibody responses despite occlusion by S1, using electron-microscopy-based polyclonal epitope mapping (EMPEM) of plasma from infected and vaccinated individuals. Structure-guided sequence analysis with antibody databases revealed that antibodies targeting a poorly characterized S2 Apex-B site form a convergent public clonotype, which is predominantly derived from the IGHV3-30 germline with a 14-residue CDRH3 containing a G/S-G-S/N-Y motif. This clonotype is extensively expanded, accounting for up to 40% of total spike-reactive antibody sequence counts in individual vaccinated donors. This study elucidates the molecular basis the high-frequency elicitation of this non-neutralizing clonotype emphasizing that its immunodominance acts as a primary hurdle for universal coronavirus vaccines and underscore the need for precision antigen design to redirect immunity toward more potent neutralizing targets.

immunology↗

bioRxiv2026

ST-Analyzer: A Packaged Web and Command-Line Interface for Simulation Trajectory Analysis

As high-performance computing provides the ability to generate and analyze ever larger simulation trajectories, the challenges in learning, applying, and sharing the best analytical practices become more salient. Extracting reproducible scientific insights from simulation requires a thorough understanding of many computing topics unrelated to the molecular systems being modeled and simulated. While the rapid development of the technologies used for analysis makes previously impossible studies into routine work, the growing repertoire of software combined with the specificity of the ecosystems that they rely on can easily break the programs used in older studies. In this work, we present ST-Analyzer, a simulation trajectory analysis suite with command-line (CLI) and graphical (GUI) user interfaces. ST-Analyzer is distributed freely as an open-source conda-forge package with support for macOS, Linux, and Windows (via WSL2). Besides facilitating several common analysis tasks, the GUI shows users the exact commands necessary to repeat the same tasks on the command-line. We demonstrate ST-Analyzers capabilities by reproducing several results from previously published simulation studies on the lipid parameters of heterogeneous biomembranes and the behavior of a SARS-CoV-2 spike protein-antibody complex. We expect ST-Analyzer to be useful to experts for quickly setting up common analysis tasks and to nonexperts as a guided introduction to simulation analysis using both GUI and CLI. ST-Analyzer is freely available at https://github.com/nk53/stanalyzer.

biophysics↗

bioRxiv2026

A distributive germline restricts the spread of new mutations

Genetic bottlenecks in the germline can amplify the impact of mutations, increasing the likelihood that new mutations are transmitted to multiple offspring. Here, we evaluate the timing and consequences of bottlenecks leading to maize pollen. By tracking transposon-induced mutations across tissues, we find that pollen derives from multiple early embryonic cell lineages, maintained by radial symmetries throughout development. In controlled crosses, offspring from bulk pollen or apical branches rarely share mutations, whereas lateral branches sample fewer lineages and produce offspring with a 6.2-fold increase in mutation sharing. Thus, the persistence of multiple, early-diverged cell lineages into the germline reduces mutation recurrence without altering the underlying mutation rate. Similar principles may apply in animals, where diverse mechanisms ensure that multiple cell lineages contribute to the germline.

genetics↗

bioRxiv2026

De novo design of a safe and potent respiratory syncytial virus immuno-focusing antigen

Respiratory syncytial virus (RSV) remains the leading cause of severe respiratory infections in infants, the elderly, and the immunocompromised. Although stabilized full-length pre-fusion (pre-F) protein vaccines are promising, enhanced respiratory disease (ERD) remains a critical safety concern. Here, we used artificial intelligence to design a de novo immuno-focused antigen that structurally preserves the RSV F head region containing critical neutralising epitopes-- site O, II and V-while replacing the non-neutralising stem with a computationally designed scaffold to minimise immunopathological risk. The lead candidate, aRF6, elicited robust protective immunity against RSV in mice and similar immunogenicity in non-human primates without detectable toxicity. Importantly, in stringent ERD-promoting models, aRF6 induced minimal pulmonary pathology and markedly attenuated Th2-biased cytokine responses, outperforming formalin-inactivated RSV and full-length-stabilized pre-F. The results of cryoelectron microscopy confirmed that the aRF6 structure precisely matched the computational predictions. These results demonstrated that computationally designed de novo immuno-focused antigens can yield safe and effective RSV vaccines, thereby providing a rational framework for next-generation vaccine development.

microbiology↗

bioRxiv2026

4-Hexylresorcinol Enhances Skeletal Muscle Glucose Handling through the AMPK-GLUT4 axis in Diabetic Rats

BackgroundSkeletal muscle insulin resistance in diabetes is characterized by impaired GLUT4 availability and dysregulated AMP-activated protein kinase (AMPK) signaling. We investigated whether 4-hexylresorcinol (4HR) modulates glucose metabolism and AMPK-acetyl-CoA carboxylase (ACC)-GLUT4 signaling in vitro and in streptozotocin (STZ)-induced diabetic rats. MethodsDifferentiated C2C12 myotubes were treated with 4HR (0.1-10 {micro}M) and assessed for glucose uptake, GLUT4 translocation, protein stability, proteasome involvement, and AMPK/ACC phosphorylation. In vivo, streptozotocin (STZ)-induced diabetic rats received subcutaneous 4HR (10 mg{middle dot}kgL{superscript 1}, 5 times/week for 7 weeks). Glycemic control, insulin secretion, muscle glycogen content, and serum protein profiles were evaluated. Results4HR markedly increased glucose uptake (>5-fold vs. control, p<0.05), accompanied by increased phosphorylation of AMPK (Thr172) and ACC (Ser79), and redistribution of GLUT4 toward the cell periphery. Cycloheximide chase and proteasome inhibition experiments indicated partial stabilization of GLUT4. In diabetic rats, 4HR reduced fasting glycemia, improved glucose tolerance, elevated circulating insulin, and restored glycogen-rich fibers in skeletal muscle. Serum profiling revealed a metabolic and anti-inflammatory shift, with increased AMPK, p-ACC, GLUT1, LGR4, LDHA, and PGC-1, alongside suppression of NF-{kappa}B and TNF-. Conclusion4HR improves skeletal muscle glucose metabolism in STZ-induced diabetes, associated with activation of AMPK-ACC signaling, preservation of GLUT4 expression, and restoration of glycogen content. These findings highlight 4HR as a promising candidate for further investigation in diabetic muscle dysfunction and metabolic disease.

molecular biology↗