Biology subjects

Dong, H.

Publications and source records attributed to Dong, H..

At least 19 recordsLinked to original sources

bioRxiv2026

Identifiable inverse optimal transport for single-cell state transitions

Signed effects of target-state programmes are unidentifiable in balanced optimal transport because fixed endpoint distributions make their contributions constant across feasible plans. We introduce UOT-IOT, a semi-relaxed inverse transport framework that restores measurable targetmass responses and provides a rank condition for local identifiability. It recovers coefficients inground-truth benchmarks (correlation 0.997 versus 0.081 for balanced transport), transfers frozen directions to six unseen samples with specificity controls, and achieves the lowest transition error against seven methods under matched evaluation conditions. GH-IOT separates shared directions from context and lineage-history offsets, revealing opposing history-associated effects. IFN/HLA is associated with patient treatment response, whereas EMT relates to drug sensitivity and perturbation-induced state changes. PERSIST-IOT improves future population-composition prediction in an independent experiment. Together, these modules distinguish current state,transition propensity and future population outcomes while supporting testable biological interpretations.

bioinformatics↗

bioRxiv2026

Autophagy dependent HIF1α proteostasis is compromised in models of PEX1 deficiencies

Peroxisomes, along with mitochondria, coordinate and compartmentalize oxidative metabolism in eukaryotic cells. Rare genetic disorders caused by mutations in PEX genes impair peroxisome function and cause Peroxisome Biogenesis Disorders, which are characterized by liver and neurological dysfunction, hearing and vision loss, and metabolic abnormalities. The majority of Peroxisome Biogenesis Disorders (PBDs) are caused by mutations in the gene encoding PEX1, which together with PEX6 forms a hetero-hexameric AAA-ATPase complex that drives the import of enzymes into the peroxisome lumen. One particular destabilizing mutation - PEX1G843D - results in almost 30% of all cases. Here we show that deficiencies in PEX1 lead to increased levels of the oxygen-responsive transcription factor HIF1 in normoxia, as well as a HIF1 transcriptional signature. The increase in HIF1 protein was rescued by overexpression of PEX1WT, suggesting PEX1 deficiencies modulate HIF1 signaling. The increased levels of HIF1 were not explained by defects in the oxygen responsive degradation pathway of HIF1 that relies on proline hydroxylase domain enzyme-dependent hydroxylation and von Hippel Lindau tumor suppressor protein-dependent ubiquitination. Instead, we found that PEX1 deficiency alters HIF1 proteostasis by reducing degradation through a hydroxylation- and autophagy- dependent mechanism. Notably, enhancing autophagic capacity by ULK1 agonism was sufficient to reduce HIF1 levels in PEX1 deficient cells. Lastly, we demonstrate that upon hypoxia-reoxygenation, PEX1 deficient cells are slower to reset HIF1 levels. Our results suggest that PBD patients with PEX1 deficiency may be susceptible to dysregulation of the HIF1 pathway, particularly in tissues where oxygen gradients are physiological or developmentally required.

cell biology↗

bioRxiv2026

Programmable sequence-resolved in situ profiling of glycoRNA-protein interactomes by GlycoRNA-Map

Cell-surface glycoRNAs participate in diverse biological processes, but they were investigated as pooled populations and the protein interactome of individual glycoRNA species remain unresolved. Here we develop GlycoRNA-Map, a programmable photocatalytic proximity-labeling method that maps proteins surrounding sequence-defined endogenous glycoRNAs on living cells. A sialic-acid-binding aptamer and an RNA-hybridization probe jointly recruit a fluorophore-modified oligonucleotide through dual recognition of the glycan and RNA moieties of glycoRNAs. Light-activated biotinylation followed by quantitative mass spectrometry identified 200-418 enriched proteins for each of five glycoRNAs in A549 cells. Comparison of these proteomes revealed limited overlap among different glycoRNA sequences and across cell types, demonstrating that glycoRNA-associated protein environments depend on both RNA identity and cellular context. Transforming growth factor-{beta} receptors 1 and 2 (TGFBR1 and TGFBR2) were identified in the proximal proteomes of multiple glycoRNAs. Removal of cell-surface RNAs enhanced TGF-{beta} receptor signaling and promoted cell migration, demonstrating that glycoRNAs can functionally regulate extracellular signaling by interacting with their protein neighborhoods. GlycoRNA-Map thus provides an accessible strategy for resolving sequence-specific glycoRNA-protein interactome and discovering their roles in membrane signaling.

biochemistry↗

bioRxiv2026

Reticulate Evolution and Plastome Restructuring Shape Asian Passiflora Diversification

Asian Passifloraceae occupy a distinctive evolutionary and ecological position within the family despite their relatively low species diversity compared with the Neotropics. Many Asian representatives are highly localized, small and often ephemeral climbers that persist seasonally through rhizomes, tuberous stems or dormant seeds, while considerable morphological plasticity may obscure species limits and evolutionary relationships. Xishuangbanna, southwestern China, lies at the convergence of Southeast Asian, Indian-Himalayan and southern Chinese floristic elements and represents an important regional centre of Passifloraceae diversity, with two species of Adenia and five species of Passiflora, including the recently described P. xishuangbannaensis and P. menghaiensis. We investigate the evolutionary relationships, plastome evolution and population genomics of these taxa using complete plastome assemblies, a concatenated dataset of 68 selected plastid protein-coding genes, 356 reconstructed nuclear Coding Sequences (CDS), and Genotyping-By-Sequencing (GBS) across the known wild distribution of P. xishuangbannaensis. Plastid, concatenated nuclear and nuclear coalescent phylogenies were strongly incongruent and differed from published classifications based on morphology and earlier phylogenies (ITS, ncpGS, ctyGS, ndhF and trnL-F). Gene-tree discordance and phylogenetic-network inference indicated widespread incomplete lineage sorting together with introgression. The two statistically best-supported network models placed P. menghaiensis, which showed high genetic similarity to the Indian P. napalensis, as a sister lineage involved in independent reticulation events associated with P. altebilobata, P. xishuangbannaensis and P. sumatrana. A pronounced biogeographic pattern was evident within Passiflora supersection Disemma, particularly in the P. siamica-P. cochinchinensis lineage across the Hua Line, whereas relationships among other Asian Passiflora blurred this boundary. This pattern suggests that diversification and reticulation within the Asian lineage may have overlapped temporally with the development of the biogeographic divide represented by the Hua Line. The concentration of early-diverging lineages around Xishuangbanna and the eastern Himalayan-Indian region further points to this area as an important centre in the early diversification of Asian Passiflora. Within this context, the highly localized P. xishuangbannaensis may represent either a relictual of an early Asian lineage or the surviving product of an ancient reticulate complex, contrasting with lineages such as P. siamica that subsequently expanded farther across Southeast Asia. Comparative plastome analyses revealed extensive structural and gene-content evolution within subgenus Decaloba, including pseudogenization, gene and intron losses, and repeated Inverted-Repeat (IR) expansions and contractions; substantial plastome modification also characterized supersection Disemma. Passiflora sumatrana exhibited a particularly distinctive IR expansion extending into the accD-pafII region, potentially characterizing this lineage. Adenia plastomes were generally more structurally conservative, although A. penangiana displayed an IR-boundary contraction involving the rps19-rpl2 region. Mitochondrial CDS and non-coding regions provided the best-resolved phylogenetic signal and revealed strong discordance with the chloroplast phylogeny, consistent with maternal mitochondrial inheritance and variable plastid transmission, potentially involving paternal or biparental inheritance and heteroplasmy. GBS analyses of P. xishuangbannaensis using complementary distant-reference, de novo and closely related-reference approaches showed that mapping to P. organensis provided the clearest SNP distribution and population resolution. ADMIXTURE, PCA and FST analyses revealed two strongly geographically structured populations with additional substructure and substantial differentiation (FST = 0.112). Linkage disequilibrium based demographic reconstruction using GONE2 indicated declining effective population size (Ne) toward the present in both populations, with a particularly abrupt recent decline in Pop1 and a more gradual decline in Pop2. Few candidate Self-Incompatibility (SI) genes could be confidently reconstructed, including limited recovery of highly variable docking regions. However, the intracellular region of an S-locus Receptor Kinases (SRK) contained a distinctive non-synonymous substitution predicted to alter protein configuration without major disruption of overall folding, potentially contributing to compatibility differences between populations. Together, these results reveal a complex evolutionary history combining historical dispersal, incomplete lineage sorting, reticulation, morphological plasticity, plastome structural evolution and strong population differentiation. The narrow distributions and recent demographic decline of these newly recognized Xishuangbanna taxa emphasize their conservation importance, while broader Asian taxon sampling and deeper genomic sequencing will be essential to resolve the evolutionary history of this discreet and poorly known Passifloraceae radiation.

evolutionary biology↗

bioRxiv2026

CryoMV: Structure-Prior-Guided Modeling and Real-Particle Validation of Continuous Conformational Transitions in Cryo-EM

Continuous protein conformations are essential for understanding fundamental biological processes and supporting drug discovery. Although cryo-EM can resolve individual states at high resolution, recovering continuous heterogeneity from 2D particle images remains challenging. High noise, motion blur, and limited structural priors make it difficult to accurately generate and validate high-resolution continuous conformations using raw particle data. Here, we introduce cryoMV, a framework that integrates structure-prior-guided modeling with real-particle validation for continuous conformational transitions. CryoMV uses reference density maps to establish structural anchors and motion priors, models candidate transition paths between selected conformations, and transfers the learned representation to raw 2D cryo-EM particle images. Each candidate conformation is subsequently evaluated using the estimated particle poses and contrast transfer functions. Supported conformations are reconstructed through raw particle back-projection and assessed using canonical half-maps and Fourier shell correlation. On EMPIAR-10516 and EMPIAR-10345, cryoMV achieves excellent performance in terms of robustness, verifiability, and reconstruction resolution. By incorporating structure-prior modeling and evidence from the raw particles, cryoMV offers an explicit mechanism for assessing whether generated conformations are supported by experimental data and provides a practical approach to reducing model-induced artifacts in continuous cryo-EM heterogeneity analysis.

bioinformatics↗

bioRxiv2026

Glutamine-regulated VCP acetylation creates a proteostasis vulnerability in RB1-deficient tumor

RB1 deficiency defines an aggressive tumor state with limited therapeutic options. Osteosarcoma represents a clinically relevant model of RB1 deficient malignancy, as RB1 alterations are among the most frequent genomic events in this tumor type. However, the non cell cycle vulnerabilities created by RB1 loss remain incompletely understood. We therefore used osteosarcoma to identify therapeutic dependencies associated with RB1 deficiency. Through high-throughput compound screening, we identified a selective vulnerability of RB1-deficient tumor cells to VCP inhibition. NMS-873 and other VCP-targeting compounds preferentially suppressed RB1 deficient cells across two-dimensional cultures, three-dimensional spheroids, patient-derived organoids, and in vivo tumor models. Mechanistically, VCP inhibition exacerbated proteostasis stress and activated endoplasmic reticulum stress responses in RB1-deficient cells. We further found that VCP function was regulated by glutamine-dependent acetylation, with lysine 615 serving as a dominant acetylation site that modulated sensitivity to VCP inhibition. Glutamine restriction phenocopied, whereas glutamine supplementation partially rescued, the effects of NMS-873 on VCP acetylation and tumor cell growth. Clinical and transcriptomic analyses further linked VCP expression and protein-folding stress programs to aggressive disease features. Together, these findings identify glutamine regulated VCP acetylation as a metabolic proteostasis dependency in RB1-deficient tumors and nominate VCP inhibition as a therapeutic strategy for this difficult-to-target tumor state.

cell biology↗

bioRxiv2026

Passive thrust production in animal propulsion: exploitation of velocity gradients for energy conservation

Animals move through fluid environments that are rich in velocity gradients, yet how they exploit these flows to reduce locomotor costs remains elusive. We hypothesize that vertebrates utilize shear layers to passively produce thrust and establish a force equilibrium, thereby reducing locomotor cost. We discovered a shear-layer gait where fish preferentially position themselves within velocity gradients to maintain a steady posture and position at ~50% of their sustained maximum speed. Compared to the matching speed of uniform flow, fish moved into an adjacent velocity gradient reduced active propulsion effort by 98% and metabolic costs by 74%, reaching a resting state. The mechanism is a force equilibrium between viscous drag on the high-velocity side of the body and anteriorly directed suction forces on the low-velocity side, fundamentally a passive thrust production driven by the pressure gradients. Such discovery has direct applications in bioinspired propulsion design and broad implications for movement ecology.

physiology↗

bioRxiv2026

CryoFlex characterizes structural motion between conformations directly from cryo-EM density maps

Heterogeneous cryo-EM reconstruction methods can resolve multiple conformational states, but understanding their functional implications often requires determining which regions move between states and quantifying their displacement magnitudes. Comparing atomic models can quantify motion, but flexible regions are often incompletely modeled. Direct map comparison is limited by variable map quality and ambiguous correspondence between displaced density features. Here, we present CryoFlex, a method that estimates the direction and magnitude of structural motion directly from reconstructed density maps of selected states. The resulting motion analysis supports functional interpretation and guides downstream structure processing. CryoFlex localized and quantified structural motion across diverse map pairs, including those with incomplete atomic-model coverage or weak local density. Against C; displacements, CryoFlex achieved an endpoint error of about 1 angstrom. In separate benchmarks, it outperformed registration baselines on clean and noisy inputs. Thus, CryoFlex complements heterogeneous reconstruction workflows with direct quantification of structural motion between reconstructed states.

bioinformatics↗

bioRxiv2026

Intracranial Targeting of Cholesterol Processing Reveals a Therapeutic Vulnerability that Reprograms Glioblastoma and Promotes Antitumor Immunity

Glioblastoma (GBM) remains the most lethal primary brain cancer due to its remarkable metabolic plasticity and therapeutic resistance. Here, we identify cholesterol dependency as a therapeutically exploitable vulnerability in GBM using two FDA approved drugs: the H1 histamine antagonist clemastine and the retinoid X receptor agonist bexarotene. Combined treatment induces potent synergistic anti tumor activity across patient-derived glioma models, suppressing proliferation, stemness, and survival at sub IC50 concentrations. Mechanistically, this therapy disrupts cholesterol biosynthesis, transport, and homeostasis, triggering endoplasmic reticulum stress and activation of the unfolded protein response, ultimately leading to autophagy and apoptotic cell death. Orthotopic patient derived glioma models recapitulate these mechanisms in vivo, where local intracranial administration significantly reduces tumor progression and prolongs survival using fourfold lower doses than systemic intraperitoneal delivery. Single cell RNA sequencing revealed activation of regeneration and plasticity programs, accompanied by immune microenvironment remodeling and enhanced inflammatory signaling. Importantly, syngeneic models preserved immune cell composition, supporting future integration with immunotherapeutic strategies. Together, these findings establish cholesterol dysregulation induced metabolic collapse as a promising therapeutic approach for GBM.

cancer biology↗

bioRxiv2026

Selective GRAB sensors reveal distinct endocannabinoid dynamics in vivo

The endocannabinoid system modulates diverse physiological processes via two endogenous lipid ligands, 2-arachidonoylglycerol (2-AG) and anandamide (AEA); however, their specific spatiotemporal dynamics remain poorly understood owing to the lack of selective probes. Here, we developed GRAB2-AG2.0 and GRABAEA2.0, two genetically encoded fluorescent sensors that selectively detect 2-AG and AEA, respectively. Both sensors exhibited high apparent affinity and molecular specificity for their respective ligands, enabling the real-time detection of 2-AG and AEA release evoked by electrical stimulation in cultured neurons and acute brain slices. In freely behaving mice, these sensors revealed ligand- and context-specific eCB dynamics: aversive stimulation preferentially evoked 2-AG, whereas psychoactive drugs produced distinct 2-AG and AEA responses. Notably, {Delta}9-THC elicited a sustained 2-AG signal in the nucleus accumbens shell, and local deletion of Dagla markedly attenuated both this signal and {Delta}9-THC-induced hypolocomotion. These sensors therefore enable detecting 2-AG and AEA signaling seperately and reveal an endogenous 2-AG component of the behavioral response to {Delta}9-THC.

neuroscience↗

bioRxiv2026

Demonstration of an Integrated Process for Manure-Based Nitrogen Recovery Using the Biopolymer Cyanophycin

The trend towards concentrated animal feeding operations (CAFOs) has served to concentrate not only livestock animals but the waste they produce to comparatively smaller areas. The point-source nature of this waste is an opportunity for the recovery and valorization of the nitrogen therein. Such a process would be viable on small to intermediate scales and require minimal inputs at the CAFO. In this study, we demonstrate the potential of the biopolymer cyanophycin to serve as a medium for manure-nitrogen recovery. In the first step, genetically modified strains of Escherichia coli produce intracellular cyanophycin from mock manure hydrolysates. Next, cyanophycin is recovered from microbial biomass via acid solubilization and base precipitation using electrochemically generated acids and bases. Finally, to improve both the yield and recoverable fraction of cyanophycin produced, we leverage the tunability of our genetically engineered system to probe the impacts of cyanophycin synthetase solubility, N-domain activity, and cyanophycin molecular weight on cyanophycin recoverability. Collectively, this work serves as a proof of concept for nitrogen recovery from agricultural waste, aligning with global sustainability initiatives.

bioengineering↗

bioRxiv2026

Integrative AI-Enabled Virtual Cell Modeling Reveals a Clinically Relevant Latent Effector State of Human CD8 T Cells Undetectable by Conventional Analyses

Understanding how immune checkpoint inhibitors (ICIs) reshape human T-cell responses requires models that move beyond static transcriptomic snapshots and discrete cell-state classifications. Here, we present an integrative AI-enabled virtual cell framework that represents human CD8 T-cell responses as dynamic and computable systems during ICI therapy. By integrating single-cell RNA sequencing with paired T-cell receptor sequencing within the C2S-scale foundation model, we construct a virtual representation of individual T cells, in which each cell is encoded by a unique functional identity that captures its transcriptional, signaling, and clonal characteristics. Using this framework, we identify a previously unrecognized dynamic latent effector state of CD8 T cells characterized by intermediate expression of effector genes, distinct signaling activity, and ongoing clonal expansion. Across independent patient cohorts, the virtual cell model consistently indicates that ICI therapy mainly acts by unmasking pre-existing effector potential rather than inducing de novo effector differentiation. Notably, this latent effector population remains transcriptionally restrained despite active signaling and clonal expansion, revealing a hidden reservoir of antitumor immune capacity. More broadly, our study demonstrates how AI-enabled virtual cell modeling can reconstruct latent cellular states and their dynamic transitions from multidimensional single-cell data. By incorporating functional identity into virtual cell model, this framework uncovers biologically meaningful yet non-obvious T-cell effector program during cancer immunotherapy and provides a generalizable approach for studying immune dynamics in human disease.

immunology↗

bioRxiv2026

PD-L1 deletion or blockade regulate macrophage antigen presentation and checkpoint molecule surface levels

Macrophages in the tumor microenvironment are known to upregulate PD-L1 expression, thereby suppressing T cells through PD-1 ligation. However, the manner in which PD-L1 expression intrinsically impacts macrophages and their immunomodulatory phenotype is less clear. Clarifying this knowledge gap would yield insight into the mechanisms of immunosuppression within the tumor microenvironment. To characterize the macrophage intrinsic role of PD-L1, we used complementary genetic and pharmacological approaches by analyzing primary murine bone marrow-derived macrophages (BMDMs) with complete genetic PD-L1 deletion and wildtype BMDMs treated with anti-PD-L1 blocking antibodies. Macrophages were evaluated across naive, pro-inflammatory (M1), and tumor conditioned (TCM) polarization states in vitro. Unlike prior reports, neither genetic deletion nor antibody blockade dramatically altered the expression of macrophage polarization markers or in vitro phagocytic capacity. Both conditions consistently reduced surface levels of the M1-associated costimulatory molecule CD80, prompting further analysis of T cell interacting and antigen presenting proteins, in which we revealed disparate effects of genetic deletion and antibody blockade on the surface levels of MHCI, MHCII, PD-1, and PD-L2. These findings suggest that PD-L1 deletion and antibody-mediated blockade contribute to macrophage immune regulatory profiles in distinct manners. This difference supports a model in which PD-L1 functions in macrophages beyond its canonical role as a ligand for PD-1, influencing antigen presentation and checkpoint molecule levels and playing a broader role in immune regulation in the tumor microenvironment.

immunology↗

bioRxiv2026

Targeting pathogenic VWF/ADAMTS13 dysregulation attenuates CTEPH progression

Chronic thromboembolic pulmonary hypertension (CTEPH) is a life-threatening pulmonary vascular disease, characterized by persistent thrombotic obstruction and progressive pulmonary vascular remodeling, yet the molecular mechanisms linking persistent thrombosis to vascular remodeling remain incompletely understood. Clinical studies have reported elevated plasma von Willebrand factor (VWF) levels and reduced ADAMTS13 in patients with CTEPH, but whether VWF/ADAMTS13 dysregulation contributes directly to disease pathogenesis remains unclear. Here, using newly established rat models of CTEPH, we identify a causative role for dysregulation of the VWF-ADAMTS13 axis in chronic thromboembolic progression. CTEPH rats developed persistent, unresolved VWF- and fibrin-rich thrombi accompanied by markedly increased endothelial VWF deposition. In contrast, ADAMTS13 expression and activity were significantly reduced in CTEPH rats. Consistent with these findings, genetic Adamts13 deficiency further exacerbates pulmonary microvascular thrombosis and accelerated early mortality following disease induction. Mechanistically, ultra-large (UL)-VWF accumulated on the pulmonary endothelial surface, promoting robust platelet recruitment under shear. This platelet-VWF interaction stimulated the release of platelet-derived pro-remodeling mediators, including TGF-{beta}1 and PDGF-BB. Genetic ablation of Vwf markedly reduced in situ microvascular thrombosis within pulmonary arterioles, attenuated pulmonary arterial remodeling, and improved pulmonary hemodynamics. Moreover, treatment with recombinant ADAMTS13 reduced endothelial UL-VWF accumulation, suppressed platelet activation, and effectively prevented thrombosis and platelet-driven pro-remodeling signaling in CTEPH rats. Collectively, these findings identify dysregulation of the VWF-ADAMTS13 axis as a key driver of pulmonary thrombosis and vascular remodeling in CTEPH and support therapeutic targeting of this pathway as a potential disease-modifying strategy. Key PointsO_LIVWF-ADAMTS13 dysregulation promotes persistent pulmonary thrombosis and platelet-driven arterial remodeling within pulmonary arterioles. C_LIO_LIRecombinant ADAMTS13 treatment or VWF ablation abrogates pulmonary arterial thrombosis and halts vascular remodeling in CTEPH. C_LI

pathology↗

bioRxiv2026

ME1 Programs Latent Effector Capacity and Grounds a Mathematical Model of Reversible T Cell Exhaustion

A central paradox in cancer immunotherapy is that patients harboring apparently exhausted or dysfunctional CD8+ T cells can exhibit rapid and durable responses to immune checkpoint inhibition (ICI). Although such rebound responses do not occur in all ICI-treated patients, resolving this paradox is essential for identifying and therapeutically maximizing reversible T cell exhaustion before clinical benefit is achieved. Here, we identify malic enzyme 1 (ME1) as a key molecular determinant of a latent, epigenetically poised effector CD8+ T cell state that is both necessary and sufficient for responsiveness to ICI. Genetic loss of ME1 abolishes therapeutic efficacy despite intact checkpoint blockade, whereas enforced ME1 expression enables robust antitumor responses even in otherwise ICI-resistant tumor models. Chromatin accessibility profiling, together with bulk and single-cell transcriptomic analyses, demonstrates that ME1 preserves effector readiness by maintaining latent effector capacity as a measurable biological state. These findings also experimentally ground a mechanistically interpretable dynamical model of T cell exhaustion, in which latent effector capacity, E(t), evolves according to a first-order differential equation shaped by activation history and decay. By defining latent effector capacity as a quantifiable, history-dependent state variable, our findings further enable the rational design of AI-driven models to predict patient-specific responsiveness and optimize therapeutic strategies in T cell-based immunotherapy. Together, our results redefine exhaustion as a state of masked potential governed by history-dependent latent effector capacity and provide a unified framework explaining rapid functional rebound, therapeutic heterogeneity, and the boundary between reversible and irreversible T cell exhaustion.

immunology↗

bioRxiv2026

Latent Effector Capacity Governs Reversible T Cell Exhaustion: A Mathematical Model for Mechanistically Predictive AI in PD-1 Blockade

T cell exhaustion is commonly viewed as a terminal differentiation state marked by irreversible loss of effector function during chronic infection and cancer. However, the rapid restoration of cytotoxic activity following PD-1 checkpoint blockade challenges this view, revealing a central paradox: T cells that appear functionally inert can regain effector function on timescales incompatible with de novo differentiation or extensive epigenetic reprogramming. To resolve this contradiction, we present a mathematical framework that explicitly decouples latent effector capacity from active effector output. We define latent effector capacity as a slow, history-dependent state variable representing preserved epigenetic accessibility and regulatory readiness at effector loci, distinct from instantaneous transcriptional activity. Within this framework, PD-1 signaling functions as a reversible, graded masking mechanism that suppresses effector realization without erasing latent capacity, thereby explaining the coexistence of preserved chromatin accessibility, rapid functional rebound, and heterogeneous responses to checkpoint blockade. Incorporating nonlinear self-maintenance of epigenetic programs together with checkpoint-dependent erosion of latent capacity reveals a bistable regime and a history-dependent point of no return, beyond which exhaustion becomes irreversible. Critically, the model demonstrates that PD-1 checkpoint blockade unmasks pre-existing effector potential but cannot recreate lost capacity, because therapeutic reversibility is governed by the prior dynamical stability of a latent epigenetic state rather than by instantaneous transcriptional output. This framework establishes a mathematical foundation for mechanistically predictive AI in PD-1 blockade therapy by identifying latent, history-dependent variables that can be inferred from epigenetic and transcriptional data to predict therapeutic responsiveness and irreversibility.

immunology↗

bioRxiv2026

BioClaw: Human-Bot Research Collaboration Ecosystems in Group Chats

Day-to-day research discussions in group chats often generate hypotheses, analysis requests, and interpretation decisions, yet executing those analyses still requires researchers to leave the conversation and rely on fragmented local tools, databases, visualization software, and literature search engines. In this work, we present BioClaw, a human-bot research collaboration ecosystem that converts natural-language requests in group conversations into tool-grounded analyses executed within isolated Docker containers. Deployed across 8 messaging platforms, BioClaw turns each group chat into a persistent execution workspace. Its design combines multi-channel orchestration, per-group state and workspace management, and isolated containerized execution for reliable shared use over long-lived conversations. To support practical research workflows, BioClaw combines containerized execution with preinstalled 31 biomedical tools and 95+ skills. The application of BioClaw spans various biomedical domains (e.g., genomics, clinics, structural biology) and data modalities (e.g., sequencing data, EHR data, protein structure data). These results establish the viability of embedding executable, tool-rich agent workflows within shared digital workspaces, positioning group chats as a transformative paradigm for collaborative scientific discovery and innovation.

bioinformatics↗

bioRxiv2025

Discovery of Abundant Nano-scale Lymphatic-like Vessels in Brains

As one of the most metabolically active organs, the brain requires an exceptionally efficient system for waste clearance to sustain its high metabolic demands. However, whether such a system exists--and, if so, what structural features enable its efficiency--remains incompletely understood. More than a decade ago, the "glymphatic system" was proposed to describe neurofluid transport through cerebrospinal fluid (CSF) and perivascular spaces (PVS), in conjunction with dural and meningeal lymphatic pathways. Nevertheless, it remains unresolved whether neurofluid transport is organized as a structured, vessel-like flow network. Moreover, in stark contrast to the dense network of blood capillaries in the brain, only a sparse population of lymphatic vessels has been identified, raising doubts as to whether the currently recognized lymphatic architecture alone can support efficient metabolic waste clearance. By combining expansion microscopy with CRANAD-3, a pan-{beta}-amyloid fluorescent probe, we discovered abundant nanoscale lymphatic-like vessels (NLVs) within the brain parenchyma of both mice and humans. The majority of these structures have diameters below 1,000 nm and exhibit moderate positivity for multiple lymphatic markers, including LYVE-1, Prox-1, PDPN, and VEGFR3. NLVs frequently coil around blood vessels, and putative connections between vascular structures were observed. Notably, some NLVs traverse multiple cortical layers and display distinct orientation patterns that vary across cortical laminae. This discovery reveals a previously "hidden" vascular network in the brain parenchyma and raises the possibility that an abundant, highly organized system of nanoscale tubular structures may provide an efficient conduit for metabolic waste clearance. Such a system could represent a critical, previously unrecognized component supporting the brains extraordinary metabolic demands.

neuroscience↗