Biology subjects

Liu, Y.

Publications and source records attributed to Liu, Y..

At least 73 records · Page 4Linked to original sources

bioRxiv2026

Mechanism of spike opening in a mammalian gammacoronavirus

Coronavirus spike proteins mediate receptor binding and fusion and are key determinants of viral host range. To bind protein receptors, some CoV spikes undergo conformational changes termed opening, which expose the receptor-binding surface. Yet, the prerequisites and mechanism of spike opening remain poorly understood, especially outside of beta-CoVs, and many CoV spikes have been observed only in the closed conformation. The receptor specificities of gamma-CoVs, for which birds are natural hosts, await in-depth characterisation and their spikes have not been observed to open. Here, we report structures of the spike from an unusual mammalian gamma-CoV isolated from a beluga whale (BwCoV), in closed and open conformations, the latter with two S1B domains erect. BwCoV spike opening is associated with changes throughout S1 that resemble those observed in beta-CoV spikes and similarly propagate into destabilisation of the fusogenic S2 core. Furthermore, the BwCoV-S structure contains an additional density likely corresponding to a fatty acid, consistent with lipid binding stabilising the closed conformation through a pocket distinct from that identified for beta-CoVs. These structural insights reveal conserved principles regulating spike dynamics across coronavirus genera and support lipid binding as a potential modulatory mechanism of spike opening.

biochemistry↗

bioRxiv2026

MAFA drives pancreatic islet maturation through coordination of cell growth, metabolic maturation, and resilience to stress.

Stem cell-derived islets (SC-islets) are a promising source for replacing the loss of insulin-secreting {beta} cells in insulin-dependent diabetes patients, but compared to their primary human counter parts, SC-islets are considered functionally immature and do not immediately regulate blood glucose after transplantation. To better understand the molecular underpinnings of {beta} cell maturation, we genetically engineered human pluripotent stem cells (hPSCs) to control the induction of the {beta} cell-maturing transcription factor MAFA or a MAFA S64F mutant variant associated with premature {beta} cell aging and senescence in SC-islets. We employ a combination of in vitro assays, multi-omics analyses, and murine in vivo transplantation studies to demonstrate that MAFA remodeling of the SC-islet transcriptional landscape promotes SC-islet biogenesis and metabolic maturation giving rise to greater SC-islet resilience and insulin secretory capacity. Parallel MAFA S64F studies highlight the importance for compensatory mechanisms for sustaining accelerated oxidative metabolism and enhanced insulin secretion without inducing intracellular stress responses and islet dysfunction. Overall, these results reveal MAFA-governed transcriptional changes that drive SC-islet functional maturation, which provides the foundation for maturing SC-islets in vitro, preserving {beta} cell integrity, and improving SC-islet cell replacement therapies.

cell biology↗

bioRxiv2026

A 3D in vitro follicle-endometrial organoid co-culture model recapitulates ovarian control of human endometrial decidualization

Female infertility remains a major women's reproductive health challenge, with impaired endometrial receptivity contributing to recurrent implantation failure, early pregnancy loss, and pregnancy complications. Mechanistic studies of human early pregnancy are limited by the lack of physiologically relevant models, and existing in vitro endometrial models rely on exogenous hormone treatment and do not recapitulate the dynamic ovarian control of endometrial growth and differentiation. Here, as a proof of concept, we developed a 3D in vitro ovarian follicle-endometrial organoid co-culture model. Immature murine follicles were cultured in vitro to obtain preovulatory follicles, followed by human chorionic gonadotropin (hCG) stimulation to induce ovulation and luteinization. Luteinized follicles were co-cultured with human endometrial stroma organoids for 6 days. The results showed that luteinized follicles generated a dynamic endocrine environment characterized by progressively increasing progesterone levels and declining estradiol levels. Follicle co-culture induced morphological differentiation and expression of decidualization markers in human endo-organoids. Transcriptomic analysis revealed strong genome-wide concordance between follicle co-culture and conventional decidualization induction using estradiol/progesterone/cAMP (EPC), with significant enrichment of decidualization-associated genes and pathways under both conditions. Nevertheless, the two conditions also exhibited distinct transcriptional states, with EPC preferentially enriched for more mature decidualization-associated programs, whereas luteinized follicle co-culture retained features of the early stage of decidualization. Functional perturbation testing revealed that the progesterone receptor (PR) antagonist RU486 attenuated co-culture-induced endometrial decidualization. Together, these results establish a new in vitro new approach methodology (NAM) that recapitulates ovarian control of endometrial decidualization. This platform provides a human-relevant NAM model to investigate the physiology and pathophysiology of endometrial decidualization, and to evaluate how drugs and environmental chemicals perturb uterine receptivity and early pregnancy.

pharmacology and toxicology↗

bioRxiv2026

Therapeutic Potential of iPSC-Derived TH+FOXA2+ Neuronal Extracellular Vesicles in Parkinson's Disease Revealed by Organoid and Rodent Models

Background: Parkinson's disease (PD) is characterized by the progressive loss of midbrain dopaminergic (DA) neurons and aberrant alpha-synuclein (alpha-syn) aggregation, yet disease-modifying therapies that simultaneously retard neurodegeneration and foster regeneration remain lacking. Methods: In this study, we isolated extracellular vesicles (TH and FOXA2 double-positive cell-derived EVs) from TH and FOXA2 double-positive differentiated neural cells, a distinct midbrain floor-plate-derived neural cell population that co-expresses the floor-plate transcription factor FOXA2 together with TH and should therefore not be equated with conventional mature midbrain dopaminergic neurons, and systematically evaluated their therapeutic potential across three complementary models: A53T transgenic mice, 6-OHDA-lesioned rats, and 6-OHDA-treated human midbrain organoids. Integrative transcriptomic and single-cell sequencing analyses, together with toxicological evaluations in rodents and non-human primates, were performed to investigate the underlying mechanisms and safety profile. These TH and FOXA2 double-positive cells were generated using a fully suspension-based, matrix-free, and chemically defined differentiation system devoid of N2/B27 supplements and fetal bovine serum (FBS). This approach offers a simple, controllable, low-cost, and scalable platform with high batch-to-batch consistency for EV manufacturing. Throughout this study, the term "TH and FOXA2 double-positive cells" refers to this distinct TH and FOXA2 double-positive cell population and should not be interpreted as conventional terminally differentiated dopaminergic neurons. Results: Intranasal administration of TH and FOXA2 double-positive cell-derived EVs in A53T mice and 6-OHDA-lesioned rats significantly ameliorated motor deficits, increased nigral tyrosine hydroxylase (TH)-positive neuron counts, reduced alpha-syn aggregation, and suppressed gliosis. In human midbrain organoids, TH and FOXA2 double-positive cell-derived EVs preserved DA neuronal morphology and reduced GFAP and alpha-syn expression. Notably, when EVs were administered simultaneously with 6-OHDA modeling rather than after modeling was completed, the protective effect was stronger. Multi-omics analysis revealed that TH and FOXA2 double-positive cell-derived EVs reversed pathological signatures of interferon-responsive microglia and oxidative stress-adapted astrocytes, while restoring WNT- and non-canonical WNT-mediated intercellular communications. Safety evaluations showed no discernible organ toxicity. Conclusions: TH and FOXA2 double-positive cell-derived EVs exert neuroprotective effects across multiple PD models by modulating specific glial subpopulations and reinstating development-associated signaling pathways. Together with a fully suspension-based, matrix-free, and N2/B27-free differentiation process that enables low-cost, scalable, and highly reproducible manufacturing, TH and FOXA2 double-positive cell-derived EVs represent a promising therapeutic candidate for Parkinson's disease.

neuroscience↗

bioRxiv2026

A druggable chromatin vulnerability in suppressive neutrophils restores antitumor immunity

Many cancers evade immunity by converting neutrophils into polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs), but the chromatin mechanisms that maintain this pathological state remain unclear. Here we show that tumor-induced suppressive neutrophils depend on mSWI/SNF chromatin remodeling. Two orally bioavailable mSWI/SNF ATPase antagonists, a degrader and a catalytic inhibitor, produced immune-dependent tumor control across syngeneic models, including tumors resistant to PD-1 blockade, and enhanced checkpoint therapy without overt toxicity. Treatment rapidly depleted intratumoral PMN-MDSCs, restored functional CD8+ T cells, and blocked tumor explant-induced expansion and suppressive activity of mouse and human PMN-MDSCs. mSWI/SNF antagonism collapsed chromatin accessibility and PU.1/C/EBP{beta} occupancy at regulatory elements that sustain PMN-MDSC identity. Thus, suppressive neutrophils harbor a druggable chromatin vulnerability that can be exploited to restore cancer immunity.

cancer biology↗

bioRxiv2026

Nanochiral graphene quantum dots preferentially target virus-organized membrane states for host-sparing antiviral activity

Selectively perturbing pathogenic membranes while preserving host-cell integrity is a fundamental challenge in the design of membrane-active biomaterials. This challenge is particularly acute for enveloped viruses because their lipid membranes are derived from host cells and therefore share many of the same molecular constituents. Here, we demonstrate that engineered nanochirality provides a structural parameter for distinguishing virus-organized membrane nanodomains from host-cell membranes. Histidine-functionalized graphene quantum dots (His-GQDs) form enantiomeric nanoscale structures with distinct interfacial topologies despite closely matched size, composition, and surface charge. D-His-GQDs preferentially interact with cholesterol-rich ordered membrane nanodomains associated with S-acylated coronavirus Spike, penetrate more deeply into raft-like lipid bilayers, and induce lipid disordering, membrane leakage, and viral-envelope disruption. Reducing Spike S-acylation or depleting membrane cholesterol attenuated this stereoselective interaction, while molecular simulations revealed asymmetric lipid organization surrounding S-acylated Spike and preferential insertion of D-His-GQDs into the ordered membrane environment. Functionally, D-His-GQDs directly inactivated human coronavirus OC43 (HCoV-OC43), inhibited infection with an EC50 of 0.92 g/mL and exhibited a selectivity index of 361. Stereoselective antiviral activity extended to human cytomegalovirus, demonstrating activity across distinct enveloped-virus families, and intranasal D-His-GQDs protected HCoV-OC43-challenged mice under both prophylactic and early post-exposure regimens. Overall, these findings establish structural nanochirality as a biomaterial design parameter for recognizing higher-order membrane organization and converting virus-associated membrane states into selectively addressable therapeutic vulnerabilities.

bioengineering↗

bioRxiv2026

Identification of alcohol use disorder-associated and ethanol-responsive proteins and candidate biomarkers using human cortical organoids

Genome-wide association studies of alcohol use disorder (AUD) have identified >100 loci, yet the functional impact and the downstream molecular mechanisms are not well understood. As functional effectors of genes, proteins provide direct insight into disease mechanisms. However, most proteomic alterations in postmortem human brains of AUD likely reflect a combination of inherited susceptibility (AUD-associated), the consequences of alcohol exposure (ethanol-responsive), other environmental and lifestyle factors, as well as sample preparation. Here, we profiled the proteome of human microglia-containing cortical organoids derived from human induced pluripotent stem cells from individuals with AUD (n=11) and without (n=5), paired with or without intermittent ethanol exposure. To maximize statistical power, donors were selected based on high or low genetic liability for AUD as measured by polygenic scores. Among 8,952 proteins that passed quality control, 1,038 were AUD-associated and 718 were ethanol-responsive. AUD-associated proteins were enriched for neuronal signaling, immune, mitochondrial, and extracellular matrix pathways, whereas ethanol-responsive proteins were enriched for RNA processing, ribosome biogenesis, protein translation, vesicle trafficking, and membrane transport pathways. Twenty ethanol-responsive proteins were replicated in a postmortem human prefrontal cortex proteomic dataset. Using UK Biobank plasma proteomics data, we identified 26 candidate AUD-associated biomarkers and 9 candidate ethanol-responsive biomarkers. We also found that major proteomic variation was significantly correlated with AUD polygenic scores. Together, these findings reveal distinct proteomic signatures of inherited susceptibility to AUD and ethanol exposure, providing new insights into mechanisms underlying AUD and identifying candidate circulating biomarkers for further investigation.

cell biology↗

bioRxiv2026

ctDNA Release Heterogeneity in Luminal Breast Cancer Revealed by Single-Cell Multi-Omics Spatial Analysis

Backgroud Breast cancer is a leading cause of cancer-related mortality, and HR+/HER2-; is the predominant subtype. Molecular pathology, including PIK3CA and ESR1 mutation, informs prognosis and treatment selection. Circulating tumor DNA (ctDNA) offers a non-invasive approach for cancer monitoring, but its clinical utility is limited by tissue plasma discordance, reflecting heterogeneous ctDNA release. The cellular and spatial determinants of this release remain poorly understood, particularly in HR+/HER2-; subtype, where heterogeneity across subclones complicates liquid biopsy interpretation. Results To identify the cellular and spatial determinants of ctDNA release, we developed scMASTER, integrating single-cell transcriptomes and mutations, spatial transcriptomics and matched tumor and plasma DNA sequencing. In ten patients with non-metastatic HR+/HER2- breast cancer, eight recurrent malignant epithelial states showed distinct ctDNA release potential. Antigen-presentation, stress, mitosis and mesenchymal-like states showed high release. PIK3CA and ESR1 mutations were linked to distinct functional states and altered ctDNA detectability. Three spatial architectures, EMT-enriched regions, intraductal luminal progenitors and avascular hypoxic zones, showed high release. Tumor-microenvironment interactions were bidirectional: anti-tumoral immunity correlated with reduced release, whereas immunomodulatory components correlated with increased release. A stratification model based on these features identified high-risk, immunosuppressed patients with poor prognosis, validated across external cohorts. Conclusions Our study establishes a single-cell spatial framework for decoding ctDNA release heterogeneity, linking tumor states, somatic mutations, spatial architecture, and immune interactions to ctDNA release. These findings provide mechanistic insights into tissue-plasma discordance, offer a biological rationale for interpreting ctDNA dynamics, refine patient risk stratification and liquid biopsy-based monitoring in HR+/HER2-; breast cancer.

cancer biology↗

bioRxiv2026

Brain state shapes the polarity of pulsed infrared neural stimulation responses in individual cortical neurons

Pulsed infrared neural stimulation (INS, 1875nm the peak of energy absorption by water) is a non-viral method developed to activate single submillimeter sites in the brain. When used in ultrahigh-field fMRI, it reveals functionally specific brain-wide columnar networks comprising synaptically activated nodes. INS is non-damaging and effective for use in the human cortex and is useful for neural and behavioral neuromodulation in primates. To investigate how physiological state influences its cellular effects, we performed in vivo two-photon calcium imaging with GCaMP6s in mice and tracked identified cortical neurons in awake vs anesthetized states. Across the tested radiant exposures, INS-evoked responses differed markedly between states: under anesthesia, stimulation produced predominantly positive-going calcium responses, whereas during wakefulness the same identified neurons exhibited negative-going responses. Pharmacological manipulation of this baseline level by GABAergic signaling shifted response polarity in opposite directions: picrotoxin under anesthesia produced awake-like negative responses, whereas muscimol during wakefulness produced anesthetized-like positive responses. Trial-by-trial analyses further showed that the relationship between pre-stimulus baseline level and INS-evoked response depended on physiological state. Because INS relies on transient tissue heating, we also developed an in situ EGFP-based calibration approach to estimate temperature-related fluorescence changes. These fluoro-thermal contributions were modest at lower radiant exposures and became increasingly important at higher exposures, particularly near the fiber pathway. The low-intensity results are consistent with, but do not establish, a state-dependent feed-forward inhibitory framework. Together, these findings show that the neuronal response to focal INS is shaped by ongoing brain state and provide a practical framework for separating state-dependent calcium responses from temperature-related fluorescence effects, making INS a potentially versatile tool for neuroscience and clinical applications.

neuroscience↗

bioRxiv2026

Abstract representation in the hippocampus predicts spontaneously adopted structure-based behavioral strategy

Animals can solve the same problem using distinct strategies, ranging from memorization of specific sensory details to inference based on abstract task structure. Although the hippocampus has been implicated in cognitive map formation, how the structural information emerges in the hippocampus through learning and whether it is associated with behavioral strategies remain poorly understood. Here, we developed a structured cue-guided navigation task in virtual reality and performed longitudinal two-photon calcium imaging of hippocampal CA1 neurons throughout learning in mice. Although the task did not explicitly require learning of latent structure, most animals progressively transformed hippocampal map from sensory-oriented representations into cue-invariant representations of reward sequences. Strikingly, the emergence of such abstract hippocampal maps predicted whether individual animals adopted structure-based behavioral strategies when sensory information became partially unavailable. At the population level, reward-sequence representations formed a latent-state map capable for predicting future state transitions, generating a parsimonious Markov graph. Computational modeling further identified next-state prediction and representational regularization as two computational principles essential for generating similar latent-state structures across distinct architectures. Together, our findings suggest that the hippocampus spontaneously extracts abstract task structure through learning and that the geometry of hippocampal representations predicts problem-solving strategies.

neuroscience↗

bioRxiv2026

Beyond the session: delayed effects of prefrontal theta-burst stimulation onthe liking of newly learned melodies

Reward operates as a cycle in which a stimulus produces a pleasure response, and the degree of pleasure experienced reinforces the behaviours that lead back to it. Music provides a useful model for examining this cycle because it is intrinsically pleasurable, can be learned, and engages reward-related frontostriatal circuitry that overlaps with circuitry involved in primary and secondary rewards, such as food, sex, and money. Transcranial magnetic stimulation (TMS), a non-invasive stimulation method, has been shown to produce bidirectional effects on music-evoked pleasure by increasing or decreasing activity in cortical regions, such as the left dorsolateral prefrontal cortex (DLPFC), that are functionally connected to subcortical regions, including the striatum. Here, we further characterize the reward cycle by incorporating TMS into a paradigm that combines musical pleasure ratings with an early musical skill acquisition task. In a within-subjects, counterbalanced crossover design, 23 participants with 2-10 years of musical experience received intermittent TBS (iTBS; excitatory) and continuous TBS (cTBS; inhibitory) over the left DLPFC in separate sessions. Participants rated the pleasantness of short piano melodies before stimulation (T0), immediately afterwards (T1), and 24 hours later (T2). After stimulation, they learned to play the melodies, and pitch and rhythm accuracy were assessed during three performance phases, namely acquisition, immediately after acquisition, and 24 hours later. Liking did not differ between conditions at T1; however, the increase in liking from baseline (T0) to T2 was significantly larger following iTBS than cTBS, a divergence that emerged across the 24-hour interval spanning both learning and sleep. Pitch and rhythm accuracy did not differ between conditions at any phase, despite improvement across trials in both. These results indicate that TMS to the left DLPFC can produce delayed, condition-dependent shifts in musical liking without a parallel change in early skill acquisition.

neuroscience↗

bioRxiv2026

Postnatal sensorimotor experience causally shapes hemispheric specialization across motor and language networks

The functional organization of the human brain is shaped by the interplay between innate constraints and postnatal experience. Hemispheric specialization, as a fundamental organizing principle of brain function, raises unresolved questions about how postnatal experience shapes lateralization and importantly, whether different lateralized cognitive systems develop through shared or independent mechanisms. We leveraged a natural experiment in individuals with obstetric brachial plexus injury (OBPI) in the right upper limb, resulting in lifelong left-hand dominance dissociated from the typical predisposition, to address these questions. Using functional MRI experiments during manual motor tasks, we found that altered hand-use experience selectively reshaped hemispheric organization in higher-order frontoparietal motor regions. Specifically, individuals with right OBPI showed reduced left-hemisphere dominance and rightward reorganization of abstract, hand-independent action representations relative to controls and individuals with left-side OBPI, whereas primary sensorimotor and subcortical regions preserved their canonical lateralizedl organization. Strikingly, experience-dependent motor reorganization extended beyond the motor system:individuals with right OBPI exhibited reduced left lateralization of the language network in Broca's area (BA44) during sentence listening. Crucially, language lateralization in BA44 covaried with the left lateralization of frontal motor areas, particularly for the compensatory, functional left hand. These findings demonstrate that postnatal bodily experience shapes the developmental emergence of hemispheric specialization, specifically in higher-order motor and language networks, and revealed coordinated organization between action and language systems.

neuroscience↗

bioRxiv2026

aaRSID, an engineered pyrrolysyl-tRNA synthetase platform for multi-probe proximity proteomics

Proximity labeling (PL) methods utilize spatially targeted chemical or enzymatic generation of a diffusible, reactive intermediate to covalently tag neighboring proteins in living systems. Unlike other tools for studying molecular interactions, PL can detect transient protein relationships with high spatial and temporal sensitivity, allowing for insight into their roles in biological processes. However, current enzymatic PL tools, such as TurboID and APEX2, are limited by their substrate structure and chemistry, which can generate significant background and/or perturb cellular physiology. To address these limitations, we have developed aminoacyl-tRNA synthetase ID (aaRSID), a PL tool that leverages an engineered pyrrolysyl tRNA synthetase (PylRS) for proximity labeling of proteins. We chose PylRS because it can catalyze promiscuous lysine labeling in the absence of its cognate tRNA and utilize a variety of non-canonical amino acids (ncAAs) as substrates. Here, we demonstrate aaRSID's intrinsic proximity labeling activity, use directed evolution to improve this activity, and apply the improved mutant (aaRSID-Ma1.3) for subcellular proteomics and multiplexed imaging. Our work establishes aminoacyl-tRNA synthetases as a new PL enzyme class and introduces a versatile chemical platform for developing ncAA-derived probes to map cellular microenvironments, greatly expanding the applications possible of PL technology.

biochemistry↗

bioRxiv2026

Transcriptomic Analysis of the Newborn Mammary Gland Identifies Prenatal Ethanol-Induced Remodeling of Insulin Signaling and Enhanced Proliferative Programming

Prenatal alcohol exposure (PAE) can produce persistent alterations in mammary development and increase susceptibility to mammary tumorigenesis, but the early molecular events underlying these effects remain poorly understood. Here, we examined whether PAE alters the molecular program of the mammary gland at birth. Pregnant MMTV-ErbB2 mice received control or ethanol-containing liquid diets during gestation, and mammary tissues were collected from newborn female offspring. RNA sequencing revealed exposure-level-dependent transcriptional reprogramming, with substantially broader alterations following moderate compared with lower ethanol exposure. Pathway analyses identified prominent changes in metabolic and growth-regulatory networks, including insulin signaling, with coordinated alterations in components of the insulin/IGF-IRS-PI3K/AKT pathway. Biochemical analyses further demonstrated exposure-dependent changes in IGFBP expression and IRS1 abundance and phosphorylation, supporting remodeling of insulin/IGF-associated signaling. Transcriptomic analyses also revealed enrichment of RNA metabolic and translational processes and, particularly following moderate exposure, enhanced DNA-replication, cell-cycle, and mitotic programs. These molecular signatures were accompanied by increased proliferative features in newborn mammary tissue. Together, these findings demonstrate that PAE establishes substantial molecular reprogramming of the mammary gland by birth and identify altered insulin/metabolic signaling and proliferative programming as prominent features of this early developmental response.

developmental biology↗

bioRxiv2026

Regulatory-scale stripe analysis from single-cell Hi-C with scStripe

Chromatin stripes are a directional architectural feature of three-dimensional genome organization, but their analysis in single-cell Hi-C (scHi-C) at regulatory resolution is hindered by extreme sparsity. We developed scStripe, an imputation-free two-stage statistical framework that detects stripes from sparse cell-type--aggregated scHi-C maps and directly quantifies the resulting aggregate-defined stripes in raw individual-cell contact maps using per-cell stripe scores. Across three complementary benchmark settings, scStripe achieved the highest F1 scores and showed strong aggregate stripe enrichment, while the detected stripes recapitulated characteristic structural and regulatory features reported in bulk data. Per-cell stripe scores resolved recurrent configurations of the EBF1-anchored stripe, captured genome-wide variation associated with cell type, cell-cycle phase, and developmental stage, and identified positively associated gene--stripe pairs with pronounced cell-type specificity using matched scRNA-seq. Together, scStripe provides a practical, scalable framework for regulatory-scale stripe analysis across single cells without requiring single-cell enhancement or 3D reconstruction.

genetics↗

bioRxiv2026

SWELL1 channel-mediated D-2HG export promotes immune evasion and metabolic fitness in IDH-mutant gliomas

Isocitrate dehydrogenase (IDH) is the most frequently mutated metabolic enzyme in human cancers. Mutant IDH produces the oncometabolite D-2-hydroxyglutarate (D-2HG), which promotes tumorigenesis in part through epigenetic alterations. Beyond its cell-autonomous effects, tumor-derived D-2HG acts as a potent immunosuppressant that establishes an immune-cold tumor microenvironment. However, the mechanism by which D-2HG is released from tumors remains largely unknown. Here, we identify the SWELL1 (LRRC8A)/LRRC8C-containing volume-regulated anion channel (VRAC) as a principal pathway for D-2HG efflux from IDH-mutant cells. Genetic deletion of SWELL1, the essential VRAC subunit, markedly reduces D-2HG release and reverses associated immunosuppression in an orthotopic mouse model of IDH-mutant glioma. Strikingly, loss of VRAC causes intracellular accumulation of D-2HG, which paradoxically limits tumor cell proliferation by driving epigenetic remodeling and mitochondrial metabolic stress. Pharmacological inhibition of VRAC with dicumarol suppresses IDH-mutant glioma growth, enhances intratumoral T cell activation, synergizes with immune checkpoint blockade, and prolongs survival in tumor-bearing mice. In human IDH-mutant lower-grade gliomas, elevated LRRC8C expression correlates with DNA hypermethylation and an immunosuppressive tumor microenvironment (TME), and predicts poor overall survival. Together, these findings establish VRAC-mediated D-2HG export as a central mechanism regulating both immune evasion and tumor cell fitness, uncovering new therapeutic opportunities across IDH-mutant cancers.

cancer biology↗

bioRxiv2026

DNMT1-Mediated Epigenetic Reprogramming Drives KMT2A Amplifications and Rearrangements

MLL/KMT2A amplifications and rearrangements are prevalent in infant, adult, and therapy-induced leukemia; however, the molecular contributors controlling these alterations remain elusive. Here, we reveal that rapid CTCF degradation generates local genome structure alterations at KMT2A and copy gains and rearrangements. We then established a conserved, coordinated interplay between DNA and histone methylation pathways that control CTCF occupancy, and in turn, KMT2A locus stability. For example, DNMT1 overexpression promotes increased H3K9 methylation, reduced CTCF occupancy, and causes KMT2A alterations. However, DNMT1 inhibition suppresses these events and KMT2A alterations caused by topoisomerase II inhibition. Locus-specific epigenome targeting demonstrated that DNA or H3K9 methylation promotes KMT2A copy gains and rearrangement, whereas targeted TET activity suppresses these events upon methylation perturbation or doxorubicin treatment. These findings identify a conserved, coordinated DNA-histone methylation axis governing KMT2A amplifications and rearrangement susceptibility, revealing biomarkers and therapeutic targets to predict and intercept these events in cancer.

cancer biology↗

bioRxiv2026

Reaction-aware hypergraph learning of chemical representations with LARK

Molecular pretraining offers a route to learning transferable chemical representations from unlabelled data. However, existing approaches pretrained on isolated molecular structures struggle to generalize to reaction-specific tasks because their pretraining objectives provide limited information about chemical transformations. A key challenge is to integrate this reaction information into chemical representations. Here we introduce LARK, a unified framework for learning atom-molecule-reaction knowledge from chemical transformations. Using approximately 0.6 million reactions encompassing 0.88 million unique molecular components, LARK combines bidirectional bond-electron reconstruction with structural and geometric supervision through a role-aware hierarchical hypergraph Transformer that links local atom representations to reaction context. The learned representations transfer to both reaction prediction and single-molecule property prediction, with strong performance across 42 tasks covering reaction outcomes, physicochemical properties, toxicity, metabolism and pharmacokinetics. Reactioncentre analyses show that LARK identifies where bonds break and form, while targeted interventions reveal that the learned atom representations contribute to reconstructing these changes. These findings indicate that LARK learns chemically informative representations of substructures involved in molecular transformations. Together, the results establish chemical transformations as a source of structured supervision for representation learning across molecular and reaction scales.

bioinformatics↗