Biology subjects

Li, J.

Publications and source records attributed to Li, J..

At least 217 records · Page 12Linked to original sources

bioRxiv2026

Survivin inhibition induces PD-L1 expression through cGAS stabilization and attenuates antitumor immunity

BackgroundSurvivin is a mitotic regulator frequently overexpressed in human cancers and an attractive therapeutic target. However, how Survivin inhibition influences tumor immune regulation remains incompletely understood. This study aimed to investigate whether Survivin inhibition modulates antitumor immunity and to elucidate the underlying mechanisms. MethodsProgrammed death-ligand 1 (PD-L1) expression was evaluated in multiple tumor cell lines following pharmacological or genetic inhibition of Survivin. Mechanistic studies included RNA sequencing, immunoblotting, flow cytometry, cGAS knockdown, and NF-{kappa}B inhibition. Immune profiling was performed using CD8 T-cell cytotoxicity assays, mass cytometry, flow cytometry, immunofluorescence and single-cell RNA sequencing. Clinical relevance was assessed using patient tumor specimens and public immunotherapy cohorts. ResultsSurvivin inhibition, either by YM155 treatment or genetic depletion, increased PD-L1 expression at both mRNA and protein levels in tumor cells. Mechanistically, Survivin inhibition stabilized cyclic GMP - AMP synthase (cGAS) by reducing its ubiquitination and activated NF-{kappa}B signaling, thereby promoting transcriptional upregulation of PD-L1. Functionally, the induced PD-L1 enhanced PD-1 engagement and suppressed CD8 T-cell cytotoxicity, promoting immune evasion. In immunocompetent ovarian cancer models, pharmacological inhibition of Survivin increased PD-L1 expression in tumor and immune compartments and attenuated cytotoxic immune activity. PD-L1 blockade restored antitumor immunity and significantly enhanced the therapeutic efficacy of Survivin inhibition. In addition, analyses of patient samples and public single-cell datasets revealed an inverse association between Survivin and PD-L1 expression, and high Survivin expression was associated with reduced benefit from PD-1/PD-L1 blockade. ConclusionsThese findings identify a Survivin-cGAS-PD-L1 axis linking mitotic stress to immune suppression and provide a mechanistic rationale for combining Survivin-targeted therapy with immune checkpoint blockade.

cancer biology↗

bioRxiv2026

Conformational Preference Classification of Integrin-Binding Ligands Using Free Energy Perturbation

Integrins are crucial cell adhesion receptors and attractive therapeutic targets, but developing safe small-molecule inhibitors has been challenging, at least in part due to inadvertent partial agonism caused by stabilization of the integrins open, high-affinity state. To address this challenge, we present a computational approach using Absolute Binding Free Energy Perturbation (AB-FEP) calculations to predict whether a ligand will stabilize the open or closed integrin states, leveraging the difference between the ligands binding free energy to the respective end states. Despite challenges posed by Ca and Mg ions, metal-coordinating residues in the binding pocket, and the subtlety of structural differences between states, AB-FEP achieved excellent classification performance on a set of known opening and closing ligands, significantly outperforming docking scores and MM-GBSA results. We also showed a good correlation between AB-FEP binding free energy differences and experimental values. Furthermore, AB-FEP provided insights into intermediate integrin states and analysis of simulation trajectories confirmed the formation of a water-mediated hydrogen bond network with an ion in the binding pocket to be characteristic for closing ligands. This work demonstrates AB-FEP as a robust method for classifying integrin ligands by the conformation they stabilize and for understanding their functional mechanisms, offering valuable guidance for designing safe and conformationally selective integrin therapeutics. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/721214v2_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@1a0b8eforg.highwire.dtl.DTLVardef@cd6b56org.highwire.dtl.DTLVardef@420cc0org.highwire.dtl.DTLVardef@533963_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

Tie2 signaling in the tumor microenvironment orchestrates breast cancer cell dissemination through TMEM doorways

During breast cancer metastasis, tumor cells migrate toward intratumoral blood vessels and intravasate through stable structures known as TMEM (Tumor Microenvironment of Metastasis) doorways. TMEM doorways, composed of a Mena-expressing tumor cell, a Tie2hi/VEGFhi macrophage, and an endothelial cell, are clinically validated prognostic markers of distant metastasis in breast cancer and represent the exclusive sites of tumor cell intravasation. We previously demonstrated that Tie2 signaling is essential for TMEM doorway function and tumor cell intravasation. In this study, we investigated how Tie2 signaling promotes tumor cell intravasation and metastasis. Because all three TMEM doorway-associated cell types can express Tie2, we sought to determine which of these cells contribute to the Tie2 signaling-dependent vascular opening at TMEM doorways and tumor cell dissemination. We found that endothelial cells associated with TMEM doorways secrete Ang2, which stimulates VEGF-A expression in Tie2hi macrophages. Elevated VEGF-A levels at TMEM doorways increase vascular permeability, facilitating tumor cell entry into the bloodstream. Using tissue staining and line-scan analysis of Tie2 and lineage markers in human and mouse breast cancer models, we observed Tie2 expression in macrophages, tumor cells, and endothelial cells. To assess functional contributions, we selectively disrupted Tie2 in macrophages, endothelial cells, and cancer cells using CRISPR-Cas9 and RNAi approaches and tested in which of these cell-knockouts of Tie2 expression affected transendothelial migration in vitro. Macrophage-specific Tie2 deletion had the greatest impact on tumor cell intravasation. To confirm this finding in vivo, we generated a mouse model with inducible, macrophage-specific Tie2 knockout. Acute, targeted loss of Tie2 specifically in macrophages significantly reduced TMEM doorway associated vascular opening and tumor cell intravasation. Together, these findings establish macrophage Tie2 signaling as a critical driver of TMEM doorway-mediated vascular permeability and metastatic dissemination in breast cancer.

cancer biology↗

bioRxiv2026

Global Acetylome Profiling Reveals Extensive Lysine Acetylation in Acinetobacter baumannii Bacteriophage Proteins

Post-translational modifications (PTMs) are increasingly recognized as potential regulators of bacteriophage-host interactions, yet their functions remain largely undefined. Here, we present the first proteome-wide characterization of lysine acetylation in a bacteriophage, using Acinetobacter baumannii myovirus vB_AbaM_DLP3 as a model to investigate host-imposed modification during infection. An optimized proteomic workflow that eliminates chemical artifacts and improves peptide identification accuracy enabled detection of 86 acetylated proteins, representing nearly one-third of the DLP3 proteome. Comparative analysis of purified virions and infected host cells revealed distinct acetylation profiles, consistent with host-driven, transient modifications that are removed or lost after lysis. Functional annotation showed that acetylation predominantly targets proteins involved in DNA replication, genome packaging, and structural assembly. Structural modeling of the major capsid and replication-associated proteins demonstrated that acetylation neutralizes positive surface charges, potentially weakening DNA binding and intercapsomer interactions critical for replication and capsid cohesion. Together, these findings establish lysine acetylation as a widespread and dynamic feature of phage infection and identify host-imposed acetylation as a potential regulatory mechanism that modulates phage replication, assembly, and infectivity. This work expands the molecular framework of phage-host interactions, providing a foundation for future studies aimed at understanding how bacterial PTMs influence phage function and for engineering phages resistant to host-mediated inhibition. ImportanceBacteriophages are being developed as alternatives to antibiotics, yet little is known about how bacterial hosts chemically modify phage proteins during infection. This study reveals that A. baumannii imposes extensive lysine acetylation on its infecting phage DLP3, affecting proteins involved in DNA replication and structural assembly. By demonstrating that acetylation neutralizes positive surface charges and is largely absent after phage release, this work identifies host-driven acetylation as a previously unrecognized, reversible mechanism that may influence phage infectivity. Understanding how bacteria use post-translational modifications to interfere with phage function provides new insight into phage-host molecular interactions and informs strategies for engineering therapeutic phages resistant to host-imposed inhibition.

microbiology↗

bioRxiv2026

mChIP-seq for Multiplex and Multifactorial Epigenomic Profiling Uncovers Cancer-specific Histone Features in Cellular and Circulating Nucleosomes

Epigenomic profiling facilitates access to investigate regulatory roles of histone marks in a type-specific cell, and serves as a critical path for discovering noninvasive epigenetic models in cell-free nucleosomes. Here, we present mChIP-seq, an epigenomic profiling technology that is compatible with both cell and cell-free samples for synchronously profiling multifactorial epigenetic landscapes on multiple samples. Combining sample indexing in a single reaction with a pool-and-split strategy for immunoprecipitation, mChIP-seq enhances efficiency and reduces cost. Using mChIP-seq, we profiled H2A.Z and 10 histone modifications in cell lines representing 9 cancer types. Integrative analyses further revealed an atypical association of H2A.Z and H3K4me3 at promoter regions in cancer. Based on mChIP-seq, we developed cf-mChIP-seq for circulating nucleosomes, which requires as little as 25 l of plasma per profile. Profiling 38 plasma samples for H2A.Z, H3K4me3, H3K27ac, and H3K9me3 with cf-mChIP-seq revealed distinct histone mark-associated cfDNA fragment patterns in breast cancer versus healthy control, highlighting the potential of cf-mChIP-seq to expand liquid biopsy methodologies. These results demonstrate that mChIP-seq is a widely applicable technology for large-scale epigenomic profiling of nucleosomes in cellular or cell-free forms.

genomics↗

bioRxiv2026

Holomycin from Yersinia ruckeri mediates fish infection at low temperature

Why microbes invest energy in producing structurally complex natural products at extremely low concentrations within hosts remains an important topic of interest in microbial ecology. This is because such compounds with potential "biomolecular activities" can reflect molecule-target interactions, thereby providing conceptual and mechanistic insights that inform the rational design of essential clinical agents. Here, we uncover the in situ ecological function of the dithiolopyrrolone antibiotic holomycin produced by the fish pathogen Yersinia ruckeri. We show that holomycins biosynthesis is strictly gated by low temperature and that trace amounts of holomycin accumulate in vivo during infection in rainbow trout. In addition, the holomycin-deficient mutant leads to markedly reduced virulence. Integrated multiomics, phenotypic analyses, and in vivo bioassay test reveal that holomycin is not a direct lethal factor but instead remodels host-associated microbiota and enhances Y. ruckeri biofilm formation. These coordinated effects promote pathogen colonization and infection progression. Our findings establish holomycin as a host-associated effector and illustrate how its existence and ecological function are mechanistically intertwined in the evolution of pathogenic bacterial chemical arsenals.

microbiology↗

bioRxiv2026

Distinct HPO axis responses and ovarian aging trajectories to chronic unpredictable mild stress in reproductively young versus middle-aged female mice

Psychosocial stressors are key contributors to ovarian functional decline. Chronic unpredictable mild stress (CUMS) is widely used to model stress-induced premature ovarian insufficiency (POI) in mice; however, current animal models do not adequately reflect middle-aged women, who represent a key population exposed to chronic psychosocial stress, nor do they capture the dynamic progression toward POI. Here, female C57BL/6 mice aged 2 or 6 months were subjected to CUMS for 8 or 12 weeks. Estrous cyclicity, endocrine profiles, ovarian histology, and transcriptomic changes in HPO axis-related tissues were systematically analyzed. After 8 weeks of exposure, 2-month-old mice exhibited impaired pituitary responsiveness to estradiol negative feedback, as evidenced by dysregulated FSH secretion, indicating reduced stress tolerance compared with 6-month-old mice. Following 12 weeks of CUMS exposure, both age groups showed significant reductions in ovarian size and follicle numbers across all developmental stages. These findings demonstrate that CUMS induces an age-dependent progression toward POI, with short-term exposure eliciting compensatory phases preceding overt ovarian insufficiency, accompanied by distinct endocrine and reproductive alterations and differential responsiveness of the HPO axis. Transcriptomic analyses revealed age-dependent stress responses: ovaries of 2-month-old mice displayed marked activation of inflammatory and immune-related pathways, whereas 6-month-old mice showed sustained upregulation of protein kinase-related signaling networks. Notably, the 6-month-old CUMS model more closely recapitulates stress-associated reproductive aging in adult women. In briefCUMS has been widely used to establish mouse models of psychosocial stress-induced POI. However, current animal models do not adequately reflect middle-aged women, who represent a key population exposed to chronic psychosocial stress, nor do they capture the dynamic progression toward premature ovarian insufficiency (POI). In this study, we demonstrate that different durations of CUMS exposure induce distinct stages of ovarian dysfunction in both young and middle-aged mice, with short-term exposure driving age-dependent compensatory phases and prolonged exposure leading to overt POI, both accompanied by divergent endocrine and reproductive alterations, alongside age-dependent changes in HPO axis responsiveness to CUMS. Notably, the 6-month-old CUMS model shows greater clinical relevance in recapitulating chronic psychosocial stress and stress-related reproductive aging in adult women.

physiology↗

bioRxiv2026

Insulin receptor substrate 2 (IRS2) confers resistance to PI3K pathway inhibition in PIK3CA mutant breast cancer

Activating mutations in PI3K are one of the most frequent mutations in breast cancer and are associated with worse patient outcomes in many breast cancer subtypes. Despite intense interest, cancer treatments that target the PI3K pathway have been only modestly effective due to intrinsic and acquired resistance mechanisms which reactivate PI3K signaling. Here, we characterize a feedback mechanism by which PI3K pathway inhibitors increase insulin receptor substrate 2 (IRS2) abundance and demonstrate the role of IRS2 in promoting resistance to these drugs. In PIK3CA mutant breast tumors and cell lines, there is a significant reduction in IRS2 mRNA and protein abundance which is reversed by PI3K pathway inhibition and mediated by the transcription factor FOXO3. PIK3CA mutations do not alter IRS1 expression. IRS2 confers resistance to PI3K pathway inhibition by sustaining PI3K signaling in PIK3CA mutant, but not wild-type breast cancer cells. Increased IRS2 abundance also correlates with PI3K pathway inhibitor resistance across PI3K mutant cancer cell lines from a variety of tissues. The clinical relevance of these findings is highlighted by the frequency of PI3K mutations in cancer and the identification of a new target to address the challenges associated with prior efforts to block the reactivation of PI3K signaling during PI3K inhibition.

cancer biology↗

bioRxiv2026

Reciprocal repulsions enforce heterotypic dendrite segregation in an olfactory circuit

How dendrites of different neurons segregate into discrete spatial domains during neural circuit assembly is poorly understood. Here, using the Drosophila olfactory system, we found that heterophilic interactions between two cell-surface proteins Teneurin-m (Ten-m) and Capricious (Caps) drive dendrite segregation. Ten-m and Caps are expressed in largely inverse patterns across projection neuron (PN) types when PNs are establishing their dendritic territories. Loss of Ten-m in Ten-m+ PNs causes their dendrites to invade Caps+ territories, whereas loss of Caps in Caps+ PNs causes dendrite invasion into Ten-m+ territories. Structure-guided mutations that abolish Ten- m-Caps binding disrupt dendrite segregation, whereas the same mutation on Ten-m preserves its homophilic attraction in a synaptic partner matching assay. These results support a model in which mutual repulsions between two inversely expressed cell-surface proteins drive dendrite segregation into discrete glomerular territories.

neuroscience↗

bioRxiv2026

Normobaric hypoxia alters the transcriptional response of healthy human skeletal muscles to a single session of high-intensity interval exercise

Given its well-documented effects on human physiology, hypoxia has garnered increasing interest for its potential to enhance specific adaptations to exercise. However, the molecular response of skeletal muscle to exercise under normobaric hypoxia remains poorly understood. To address this gap in knowledge, ten healthy young males completed a crossover study in which exercise in hypoxia was compared to exercise in normoxia matched by either absolute or relative intensity. This design allowed us to identify shared transcriptomic responses across all three conditions, as well as changes that were specific to exercise intensity or hypoxic exposure. Skeletal muscle biopsies were collected before, immediately after, and at 3 and 24 hours following each exercise session, with RNA sequencing performed to assess changes in gene expression. Following exercise, a greater number of differentially expressed genes were observed in hypoxia compared to normoxia at 24 h post-exercise. This hypoxia-specific response involved the downregulation of multiple mitochondrial pathways and appears to be regulated by a transcriptional network comprising both positive and negative regulators of HIF-1 activity. These findings highlight the ability of normobaric hypoxia to influence exercise-induced gene expression and suggests that it may promote distinct molecular adaptations in skeletal muscle following longer-term training.

physiology↗

bioRxiv2026

Life history stage-dependent nuclear selection in chimeric fungi

A single hyphal compartment of the filamentous fungus Neurospora crassa may contain tens or hundreds of nuclei, sharing macromolecules with each other, and, via a continuous cytoplasm, with the nuclei in other compartments. Nuclear lineages acquire mutations with each mitosis, which, combined with the autonomous mitosis of nuclei, has fueled speculation that multilevel selection may occur, both upon the mycelium, and upon individual nuclear populations. Here, we combine experiments on fungal chimera formed from two auxotrophically and epitopically labeled nuclear populations, with specially created microscopy toolkit for extracting the proportions of the two nucleotypes to analyze the strength of nuclear-level selective forces at different stages in the fungal life history. We find strong nucleotype-selective forces during spore-germination and establishment of the mycelium, and no evidence of selection on nuclei inside a growing mycelium. The kinetics of mycelial initiation from individual spores therefore allow for the selection of nuclear compositions best adapted to the fungus environment, in accordance with the hypothesized function of unicellular life history stages for purging deleterious mutations.

evolutionary biology↗

bioRxiv2026

Presynaptic CaV2.1 calcium dependent facilitation is essential for faithful auditory information transfer

Activity-dependent modulation of presynaptic voltage-gated Ca2+ channels (CaV2) regulates Ca2+ influx to control neuronal circuit output. Although CaV2.1 can undergo robust Ca2+ dependent facilitation (CDF), whether it occurs in native central nervous system neuronal circuits is disputed. Accurate auditory information processing requires precise and reliable synaptic transmission at high activity rates in the auditory brainstem. To determine if CaV2.1 CDF is a key regulator of high-fidelity synaptic transmission, we expressed CaV2.1 splice variants capable (CaV2.1 37a) or incapable (CaV2.1 37b) of CDF at the calyx of Held presynaptic terminal in the auditory brainstem. We found no difference in basal CaV2.1 currents or synaptic transmission. However, CaV2.1 37b terminals lacked CDF, synaptic facilitation and had a decreased reliability and precision of postsynaptic action-potential firing. Additionally, the Wave III amplitude of the auditory brainstem responses was reduced. We propose that CaV2.1 CDF is essential for accurate auditory information processing.

neuroscience↗

bioRxiv2026

Iron-mediated assembly of lactoferrin-alginate composites for iron encapsulation and structural stabilization

Ternary composite systems formed by lactoferrin (LF), sodium alginate (Alg), and Fe(II) were designed to investigate their potential as an iron delivery platform with enhanced protein stability. The ternary LF-Alg-Fe (LAF) composites demonstrated distinct structures depending on the LF to Alg ratio and the Fe(II) concentrations. At an LF to Alg ratio of 8:2 and final Fe concentrations between 20-30 mM, the system formed complexes stabilized by electrostatic interactions. Whereas Alg-rich formulations formed hydrogels stabilized by Alg-Fe(II) egg-box cross-linking. Rheological analysis and swelling behavior indicated a higher mechanical strength in LF-rich complexes and stronger network integrity in Alg-rich hydrogels, while intermediate LF/Alg ratios showed weaker structures overall. Fourier-transform infrared spectroscopy (FTIR) spectra showed no changes in functional groups or polymer structures after composite formation, confirming composite formation via non-covalent interactions. Thermal studies indicated that these ternary systems improved LF stability, evidenced by preserved secondary structure after heating using circular dichroism (CD), and an increased denaturation temperature compared with free LF in differential scanning calorimetry (DSC). In addition, in LF-rich formulations the Fe(II) release in aqueous solution was [~]50% while in Alg-rich formulations it was much lower (< 10%). LF-Alg-Fe composites exhibit distinct structures governed by protein-polysaccharide interactions and iron-mediated cross-linking, providing a potential strategy for protein stabilization and iron fortification in food systems.

biochemistry↗

bioRxiv2026

GeneBench: Assessing AI Agents for Multi-Stage Inference Problems in Genomics and Quantitative Biology

We introduce GeneBench, a benchmark for AI agents on realistic multi-stage scientific data analysis in genetics and quantitative biology. Existing biology benchmarks mostly measure knowledge retrieval, execution of routine pipelines, or a single analysis step. Yet they do not capture the broader scope of work that occupies much of computational scientists time: cleaning and normalizing assay, phenotype, or clinical data; exploratory data analysis; statistical model selection and diagnostic iteration; and producing a conclusion that informs a downstream scientific or translational decision. GeneBench addresses this gap with 103 evaluations targeting quantities of direct practical relevance across 10 domains, with a genomics-centered core and adjacent coverage in other omics and quantitative biology settings. Each problem comprises an encapsulated multi-step analysis with staged data, prompts that define a quantity of interest while otherwise providing minimal guidance, and verifiable answers. Solving each problem requires identifying and addressing realistic obstacles such as measurement error, selection bias, confounding, QC failures, and choosing among competing model classes. Through extensive ablation studies, we verify that each problem admits a single defensible answer. Each problem involves multiple dependent decision points; i.e., substantive inferential forks where a plausible wrong choice changes the downstream analysis, such that errors propagate through the inferential chain and into the final graded target. In initial evaluations, the mainline GPT family reaches an eval-level pass rate of 25.0% with GPT-5.5 at the xhigh reasoning setting. In separately reported GPT Pro runs, GPT-5.5 Pro reaches 33.2%, GPT-5.4 Pro reaches 25.6%, and GPT-5.2 Pro reaches 10.8%. Even for the two strongest reported Pro-harness settings, 60.2% and 62.1% of problems, respectively, remain below 20% pass rate over repeated runs. The strongest external baseline, Gemini 3.1 Pro, achieves 11.2%. Models often complete substantial portions of the workflow but exhibit a consistent gap between noticing and acting: they identify local diagnostic signals but fail to propagate the implication to the corresponding analysis decision, and as a result select wrong estimators or persist on initially plausible but incorrect analysis paths. GeneBench therefore measures an emerging capability that remains as yet unreliable. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=46 SRC="FIGDIR/small/720113v1_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@169b81dorg.highwire.dtl.DTLVardef@1b6a4c0org.highwire.dtl.DTLVardef@1fa6951org.highwire.dtl.DTLVardef@11845da_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2026

Integration of proteogenomic analyses in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is still lack of clinically molecular subtyping and effective therapeutic strategies. Herein, a total of 46 paired tissue samples of esophageal squamous cell carcinoma (ESCC) were collected and subjected to a systematic proteogenomic evaluation. Consensus assessment of the ESCC-related transcriptomes and TCGA dataset revealed several consensual modes of gene expression related to ESCC specificity, with 8 plasma-detectable hub proteins that could discriminate ESCC from others. Three ESCC molecular subtypes were defined and validated based on proteome data, including pCC1 with activated immune response and best survival outcome, pCC2 as cell cycle subtype with relative worse outcome, and pCC3 with worst outcome that expressed more cell adhesion related proteins. Furthermore, we proposed potential therapeutic strategies for improving survival outcomes in patients with different ESCC molecular subtypes. This integrative proteogenomic analysis provided a novel view of ESCC-dependent molecular information.

cancer biology↗

bioRxiv2026

ClonoScreen3D-CRISPRi Uncovers Genetic Modifiers of Radiation Response in Glioblastoma

BackgroundGlioblastoma (GBM) is the most aggressive primary brain tumor in adults. Radioresistance, partly mediated by glioma stem-like cells, represents a major clinical challenge which could be overcome by the identification of the modulators of radioresistance. Existing CRISPR screens in human GBM models have largely used two-dimensional cultures with short-term viability readouts, failing to capture the long-term clonogenic behaviour underlying tumour recurrence after radiotherapy. MethodWe developed ClonoScreen3D-CRISPRi, combining CRISPRi-mediated gene knockdown with three-dimensional clonogenic survival assays. Two GBM cell lines (G7 and GBML20), differing in MGMT promoter methylation status, were engineered to express the KRAB-dCas9 editor. Nine candidate radiosensitivity modifiers, selected through transcriptomic analysis, pharmacological studies, and literature review, were examined in both lines. Target validation was performed using full radiation dose-response assays and a pharmacological inhibitor. ResultsThe majority of candidate genes significantly altered survival fraction following irradiation in both cell lines. Knockdown of NFKB2, RELB, and CDK9 produced the most potent radiosensitization, with sensitizer enhancement ratios of 1.39-1.70 in validation studies -- exceeding those of established radiosensitizers including PARP and ATM inhibitors. Notably, knockdown of these genes induced no significant cytotoxicity in the absence of radiation. Pharmacological validation using an IKK inhibitor confirmed these findings, implicating non-canonical NF-{kappa}B signalling and CDK9-dependent transcriptional elongation as critical adaptive mechanisms in GBM radioresistance. ConclusionsClonoScreen3D-CRISPRi is a scalable, physiologically relevant platform for identifying genetic modifiers of radioresistance. The non-canonical NF-{kappa}B pathway and CDK9 represent promising radiosensitizing targets, and larger screens could enable systematic prioritisation of candidates for clinical translation. Key PointsO_LIClonoScreen3D-CRISPRi combines gene knockdown with 3D clonogenic survival assays C_LIO_LIWe identified NFKB2, RELB, and CDK9 as modifiers of radioresistance in two GBM cell lines C_LIO_LIValidation experiments show ClonoScreen3D-CRISPRi reliably identifies radiosensitizers in GBM C_LI Importance of the studyGlioblastoma (GBM) remains one of the most lethal human cancers, with radioresistance representing a central barrier to improved patient outcomes. While CRISPR-based screens have begun to illuminate genetic drivers of GBM biology, prior approaches using human models have largely relied on two-dimensional culture systems and short-term viability readouts that inadequately model the disease. This study introduces ClonoScreen3D-CRISPRi, a novel platform that integrates CRISPRi-mediated gene knockdown with three-dimensional clonogenic survival assays in patient-derived GBM cells -- more faithfully recapitulating the long-term clonogenic potential that underlies post-radiotherapy recurrence. Using this platform, we identified NFKB2, RELB, and CDK9 as potent genetic modifiers of radioresistance, with sensitizer enhancement ratios exceeding those of established clinical radiosensitizers such as PARP and ATM inhibitors. Pharmacological validation of the non-canonical NF-{kappa}B pathway demonstrates direct translational relevance, providing a rationale for targeting this axis in combination with radiotherapy to improve GBM treatment.

cancer biology↗

bioRxiv2026

Redox-dependent lipophilicity of phenazine metabolites is modulated by intramolecular hydrogen bonds and controls their biological distribution

Phenazines are redox-active microbial metabolites produced and secreted in diverse ecological contexts from soils to chronic infections. In these disparate environments phenazines can function variously as antibiotics, extracellular electron shuttles, and nutrient scavengers. Key to understanding the impact of these functions is a robust expectation of phenazine retention or diffusion in a given context. But predicting phenazine fate and transport is difficult because of the chemical complexity of their local microenvironments. To address this challenge, we measured the octanol water distribution coefficient (LogD) as a proxy for lipophilicity of three naturally occurring phenazines produced by the opportunistic pathogen Pseudomonas aeruginosa: phenazine-1-carboxylic acid, phenazine-1-carboxamide, and pyocyanin. We investigated the behavior of both oxidized and reduced forms of these phenazines across broad ionic strength and pH conditions. While the ionic context exerts only small effects, the pH and redox state contribute strongly and independently to changes in phenazine lipophilicity. The pH trends are expected, but the observed redox dependence is generally missed by existing lipophilicity calculation methods. Additional LogD measurements with 1-hydroxyphenazine and unsubstituted phenazine, together with density functional theory modeling of phenazines in their reduced and oxidized forms, reveal that intramolecular hydrogen bonding contributes significantly to the increased lipophilicity of reduced phenazines that possess H-bond accepting substituents in the 1-position. These results explain phenazine behavior in a biological context: redox state alone significantly alters retention of pyocyanin in planktonic P. aeruginosa cells, with the reduced species being predominantly retained by membranes. We propose that the modulation of phenazine lipophilicity in response to the local redox environment has evolved to give a competitive advantage to bacteria by retaining or dispersing these bioactive molecules. Beyond improving our understanding of natural phenazine fate in diverse microbial contexts, our results emphasize an oft-overlooked theme relevant to rational drug and electrochemical shuttle design: redox state matters.

biochemistry↗

bioRxiv2026

Deep mapping of structural perturbations to energetics enables precise TCR design

Affinity optimization and cross-reactivity profiling are pivotal for T-cell receptor (TCR) engineering and immunotherapy, yet remain hindered by the vast diversity of the TCR repertoire and limited structural insights. Here, we present mpTCRai, a deep learning framework that captures the sequential characteristics of antigen presentation and recognition with high precision. Leveraging these precise structural predictions, we established a contact hotspot-based scoring mechanism that explicitly maps structural perturbations to energetic changes, yielding a strong correlation with experimental affinity (r = -0.88). In application, the model identified critical molecular switches, such as specific G-to-A substitutions, and revealed their dependence on structural context. Furthermore, it effectively distinguished functional variants from dangerous cross-reactive mutations like Y5W, thereby mitigating the risk of off-target toxicity. Guided by these insights, we computationally designed four novel A6-TCR variants, demonstrating a rational strategy for candidate selection in adult T-cell leukemia. This work establishes a unified platform integrating structural and energetic constraints to advance precise, safe TCR therapeutic design.

immunology↗