Biology subjects

Liang, S.

Publications and source records attributed to Liang, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Designing a reoriented H5 hemagglutinin to generate stem-directed, heterosubtypic immunity to influenza A viruses

Human infections with the highly pathogenic avian influenza viruses highlight the risk of novel pandemics, against which seasonal vaccines provide limited cross-protection. Whereas antibody responses to current vaccine candidates are typically biased toward the immunodominant and variable head region of hemagglutinin (HA), the stem region of HA is highly conserved and targeted by broadly neutralizing antibodies. Here we describe a reoriented H5 HA (reoH5HAPhe, based on A/Vietnam/1203/2004) displayed on alum as a vaccine candidate to elicit stem-directed antibody responses and confer cross-protective immunity. We show that a single immunization with reoH5HAPhe protected naive mice against heterologous H5N1 lethal challenge (A/Texas/37/2024), and boosting with reoH5HAPhe conferred complete heterologous protection in mice pre-immunized with seasonal vaccines. The stem-directed response elicited by reoH5HAPhe also protected against heterosubtypic H1N1 challenge in both naive and pre-immune mice. Electron microscopy polyclonal epitope mapping revealed that reoH5HAPhe elicited antibodies targeting the central stem and anchor epitopes on heterologous H5 and H1 HAs, alongside antibodies against the (H5) vestigial esterase or (H1) lateral patch epitopes. Despite limited cross-neutralizing activity, increased stem-directed responses with balanced IgG1 and IgG2 subclasses reduced viral replication and improved survival. Our results highlight antigen reorientation as an effective approach for designing variant-resilient vaccines and demonstrate the potential of reoH5HAPhe as an H5 pandemic influenza vaccine candidate that confers protective immunity against both emerging and seasonal influenza viruses.

immunology↗

bioRxiv2026

A meta-interaction basis for cell-cell communication in tissues

Tissue function depends on signals exchanged between cells and the responses they elicit. Yet whether diverse cell-cell interactions in situ form recurrent sender-receiver programs remains unclear. We present SpiderNet, an interpretable representation-learning framework that discovers such directed programs as a compact basis of cell-cell meta-interactions (MIs) from spatial transcriptomics. SpiderNet jointly learns which sender regulators, ligand-receptor pairs, and receiver targets define each MI and where each program is active across neighboring cell pairs. The resulting representation traces multicellular relays and links communication to cell states, perturbation responses, and phenotypes. SpiderNet recovers ground-truth MIs and their molecular components in simulations and, in real tissues, shows stronger direction-specific agreement with independently curated regulatory programs in senders and receivers than alternative methods. Across more than 5.8 million spatially profiled cells, SpiderNet resolves an SPP1-THBS relay linking monocytes, fibroblasts, and tumor cells within an immune-suppressive ovarian cancer niche, predicts T-cell responses to held-out melanoma-cell perturbations, and identifies a T-cell-associated brain-aging program and age-predictive signals that transfer across regions and platforms. It reveals a recurrent pan-cancer COLLAGEN-linked fibroblast-tumor program whose projected abundance in independent cohorts is associated with poorer survival and non-response to immunotherapy. SpiderNet thus establishes MIs as a reusable organizational layer between molecular interactions and tissue phenotypes, providing a framework to resolve, compare, trace, and perturb multicellular regulation in situ.

bioinformatics↗

bioRxiv2026

RevPert: ranking candidate drivers of transcriptomic state transitions via gallery-native reverse perturbation

Cellular state transitions underlie adaptation, ageing and disease, yet prioritizing catalogued genetic perturbations whose expression signatures match an observed transcriptomic shift remains difficult. Most models predict phenotype from a nominated intervention, whereas genetic inverse benchmarks are largely restricted to within-screen identity recovery. Here we introduce RevPert, a gallery-native reverse perturbation model that ranks a fixed genetic catalog for a query contrast {Delta}Y* = YB - YA by combining signed Pearson connectivity with a learned residual. Across Replogle Essential Perturb-seq (four lines) and LINCS-KO screens (ten lines), RevPert recovered held-out interventions at leading performance relative to matched baselines. Applied to public drug-resistance contrasts in HCC and CML, dual-arm ranking placed pre-specified disease anchors far higher on the expected arms than ranking the same signatures by differential-expression magnitude alone (Essential residual model for HCC; a transductive GWPS residual for CML). RevPert therefore couples within-screen reverse ranking to a screen-external signed-geometry check; the latter calibrates literature anchors and is not claimed as held-out recovery.

bioinformatics↗

bioRxiv2026

Intratelencephalic neurons in the medial prefrontal cortex mediate the acquisition of goal-directed actions.

The medial prefrontal cortex (mPFC) and its connections with the posterior dorsomedial striatum are implicated in goal-directed learning, but the specific mPFC cell types involved have not been clearly established. The current study investigated mPFC intratelencephalic (IT) and pyramidal tract (PT) neuron involvement in goal-directed learning. In Cre-driver mouse lines, we mapped bilaterally projecting IT neurons and unilaterally projecting PT neurons from mPFC to dorsal striatum and showed that chemogenetic inhibition of IT, but not PT neurons, attenuated goal-directed learning. We then demonstrated training induced elevations in pERK signaling in IT neurons, which were transient in superficial mPFC layers, and more persistent in deeper layers. This was associated with plasticity in deep layer IT neurons, reflected in a shift towards excitatory over inhibitory synaptic inputs. Together, these data suggest that goal-directed learning influences synaptic input and downstream plasticity markers in mPFC IT neurons, and this functionally contributes to goal-directed learning.

neuroscience↗

bioRxiv2026

Identifying Ecological Restoration Priority Areas through a Function-Structure-Dynamic Framework: Integrating Ecological Security Patterns and Future Land-Use Simulation in the Anhui Section of the Yangtze River Basin

Rapid urbanization has intensified ecological degradation and threatened ecosystem sustainability in the Yangtze River Basin. This study proposes a Function-Structure-Dynamic (FSD) framework integrating ecological protection importance assessment, ecological security pattern (ESP) construction, and future land-use simulation to identify ecological restoration priorities in the Anhui section of the Yangtze River Basin. Ecologically important areas were identified by coupling ecosystem services and ecological vulnerability. MSPA, landscape connectivity analysis, resistance surface modeling, and circuit theory were applied to construct the ESP, while the PLUS model simulated land-use change and ecological risks in 2032. Results identified 37 ecological sources covering 6,901.39 km{superscript 2} and 84 ecological corridors with a total length of 916.80 km. Ecological pinch points, barrier areas, and 17 ecological warning areas were further delineated. Based on these findings, four ecological restoration zones were proposed with differentiated management strategies. The FSD framework effectively integrates ecological functions, spatial structure, and future dynamics, providing scientific support for ecological restoration and sustainable territorial spatial planning in rapidly urbanizing regions.

ecology↗

bioRxiv2026

Transcription factor CCTF1 plays a decisive role in regulating the proteasome activity during archaeal cell division

Archaea of the order Sulfolobales exhibit a highly ordered cell cycle progression similar to that of eukaryotes. It has been demonstrated that degradation of the cell division protein CdvB by the proteasome controls the progression of cell division. However, how the proteasome itself is regulated during the cell cycle is not fully understood. Recently, the cyclically expressed ArsR family transcription factor CCTF1 (cell cycle transcription factor 1) was shown to represses expression of PAN (proteasome-activating nucleotidase) in Sulfolobus acidocaldarius. Here, using biochemical approaches, comparative transcriptomics and proteomics, we provide further insights into the CCTF1 function and show that it regulates PAN expression in Saccharolobus islandicus by binding to an AT-rich palindromic sequence within the pan promoter. We also reassessed the role of the cyclically expressed protein kinase aCcrK in regulation of proteasome activity and conclude that CCTF1, rather than aCcrK, is the primary factor controlling the proteasome activity. These findings advance our understanding of the proteosome-mediated cell cycle regulation in archaea.

microbiology↗

bioRxiv2026

Hepatic Acetate is an Essential Fuel for the Heart during Energy-Deprived States

Energy supply is fundamental to cardiac performance, yet the mechanisms by which the heart adapts to nutrient scarcity remain incompletely understood. Here, we identify acetate as a pivotal metabolic substrate that sustains cardiac contractile function during fasting-induced energy deficiency. Fasted mice reveal significant elevation of circulating acetate derived from hepatic fatty acid catabolism. Physiological concentrations of acetate alone can maintain ex vivo beating and electrical stability in Langendorff-perfused hearts. Primary mouse cardiomyocytes preferentially utilize acetate under energy-restricted conditions, which is abolished by knockdown of mitochondrial Acss1, the enzyme responsible for converting acetate to acetyl-CoA. Isotopic tracing with 13C-acetate demonstrated selective cardiac uptake during fasting. In vivo, acetate supplementation preserved heart rate and systolic function in fasted wild-type mice but not in Acss1-deficient hearts. These findings reveal an Acss1-dependent metabolic pathway enabling the heart to harness hepatic acetate as an endogenous fuel, representing a nutrient stress-responsive adaptation based on inter-organ crosstalk and implying therapeutic potential of acetate to energy-deficient heart diseases.

biochemistry↗

bioRxiv2026

Co-delivered PD-L1 rescues the protective efficacy mediated by an AAV-expressed HIV-1 bNAb

Adeno-associated virus (AAV)-delivered anti-HIV-1 broadly neutralizing antibodies (bNAbs) could prevent and treat HIV-1 infection but are limited by host immune responses, specifically anti-drug antibodies (ADA). We tested whether PD-L1-mediated immune shielding could improve the consistency of AAV-delivered bNAb expression from muscle tissue in rhesus macaques. AAV9.PD-L1 co-delivery with AAV9.3BNC117 reduced the occurrence of ADA and T cell responses and improved the durability of 3BNC117 expression for one year post administration. Importantly, 5 of 6 macaques that received co-delivered AAV9.PD-L1 vectors were protected against ten repeated SHIVAD8-EO challenges. Histopathological and spatial transcriptomic profiling showed that AAV9.PD-L1 co-delivery prevented severe local inflammation, muscle injury, and tertiary lymphoid structure formation at the administration site. Thus, immune shielding could serve as a strategy to prolong transgene expression from muscle-directed AAV-delivered biologics.

immunology↗

bioRxiv2026

Overcoming host immune responses to an AAV-delivered HIV-1 bNAb in rhesus macaques mediated by co-delivery of PD-L1

Adeno-associated virus (AAV)-delivered anti-HIV-1 broadly neutralizing antibodies (bNAbs) have demonstrated promise for preventing and treating HIV-1 infection in preclinical models. However, host immune responses, specifically anti-drug antibodies (ADA), limit sustained bNAb expression. We have previously shown that PD-L1-mediated immune shielding improves the consistency of AAV-delivered bNAb 3BNC117 expression from muscle tissue in rhesus macaques. Here, we test the breadth of this approach with another bNAb, 10-1074. We show that AAV9.PD-L1 co-delivery with AAV9.10-1074 reduced the occurrence of ADA responses and improved the durability of bNAb expression for one year post administration. Notably 12 of 12 macaques that received AAV9.10-1074 vectors were protected against ten repeated SHIVAD8-EO challenges. Histopathological profiling showed that AAV9.PD-L1 co-delivery prevented severe local inflammation and tertiary lymphoid structure formation at the administration site. Thus, immune shielding could serve as a broad strategy to prolong transgene expression from muscle-directed AAV-delivered biologics.

immunology↗

bioRxiv2026

Vertical Sleeve Gastrectomy inhibits 11βHSD1 and subsequently reduces IL6 secretion in Mice and Humans: A Shared Anti-Inflammatory Mechanism

BackgroundVertical sleeve gastrectomy (VSG) improves glycaemic control in type 2 diabetes (T2D) through mechanisms that extend beyond weight loss. The interaction between glucocorticoid metabolism and inflammation in this context remains unclear. MethodsWe investigated the role of 11{beta}-hydroxysteroid dehydrogenase type 1 (11{beta}HSD1) in mediating the metabolic effects of VSG in humans and mice. Subcutaneous adipose tissue biopsies were collected before and 6 months after VSG. Parallel studies were conducted in lean and high-fat diet-fed mice undergoing VSG or sham surgery, alongside 11{beta}HSD1 knockout models. Glucose tolerance and expression of 11{beta}HSD1 and interleukin-6 (IL6) were assessed. Mechanistic interactions were examined in IL6-treated human hepatocytes. ResultsVSG reduced 11{beta}HSD1 and IL6 expression in human adipose tissue and improved insulin resistance. In lean mice, VSG improved glucose tolerance and downregulated both markers independently of weight loss. 11{beta}HSD1 knockout mice exhibited improved glucose tolerance despite increased adiposity, partially recapitulating the VSG phenotype. Both interventions reduced circulating and tissue IL6 levels. IL6 stimulation increased HSD11B1 expression in hepatocytes. Conclusions11{beta}HSD1 links glucocorticoid metabolism, inflammation, and glucose homeostasis following VSG. Targeting this pathway may offer a strategy to replicate key metabolic benefits of metabolic bariatric surgery.

physiology↗

bioRxiv2026

CPS: Mapping Physical Coordinates to High-Fidelity Spatial Transcriptomics via Privileged Multi-Scale Context Distillation

MotivationSpatial transcriptomics enables the dissection of tissue heterogeneity within native contexts, yet current platforms are inherently constrained by high sparsity and low signal-to-noise ratios that obscure fine-grained biological signals. Current efforts to recover these signals are limited by image registration dependencies or the inherent context-blindness of implicit neural representations. ResultsWe introduce the Cell Positioning System (CPS), a context-aware implicit neural representation framework designed to map physical coordinates to high-fidelity spatial transcriptomics via a privileged multi-scale context distillation strategy. CPS treats multi-scale tissue niches as privileged information, employing a teacher network equipped with a multi-scale niche attention mechanism to capture adaptive biological interactions during training. This structural knowledge is explicitly distilled into a student coordinate network, enabling the generation of context-aware expression landscapes solely from spatial coordinates during inference. Benchmarking on the DLPFC dataset demonstrates that CPS achieves state-of-the-art performance in spatial and gene expression imputation and denoising. Furthermore, CPS enables super-resolution to recover high-resolution mouse brain anatomical details and offers interpretability by identifying the scale effective size of biological interactions within human breast cancer tissues. Finally, the framework exhibits superior scalability for large-scale datasets with linear computational complexity. AvailabilitySoftware is available online at https://github.com/tju-zl/CPS.

bioinformatics↗

bioRxiv2026

Critical roles of MCM8 in meiotic recombination during mouse spermatogenesis

Meiotic DNA double-strand break (DSB) formation and repair by homologous recombination is crucial for ensuring proper chromosome segregation. In mice, the mini-chromosome maintenance family protein, MCM8, has been proposed to function in meiotic recombination and its loss leads to infertility, but the underlying mechanisms are poorly understood. Here we used cytological and genomic assays to infer the role of MCM8 during meiotic recombination in mouse spermatocytes. We show that MCM8-deficient spermatocytes exhibit increased levels of SPO11-dependent DSBs at recombination hotspots during early prophase. DSBs are resected normally and accumulate strand-exchange proteins. However, downstream recombination intermediates are barely detected and recombination intermediate-associated MutSgamma foci do not form efficiently. Consistent with a role in early recombination intermediate processing, MCM8 binds to displacement loop (D-loop) structures in vitro. We propose that MCM8 controls meiotic recombination in at least two ways. MCM8 participates in regulating meiotic DSB number. Further, MCM8 plays a role in the formation and/or stability of post-resection recombination intermediates, steps that are critical for DSB repair via recombination and for efficient synapsis of homologous chromosomes during mouse meiosis.

molecular biology↗

bioRxiv2026

Resolving thyroid lineage cell trajectories merging into a dual endocrine gland in mammals

The thyroid has a remarkable evolution, first appearing in invertebrate chordates as an integral exocrine constituent of the pharyngeal endostyle that is transformed into an endocrine gland during metamorphosis in basal vertebrates. In mammals, the thyroid acquires a second endocrine cell type, calcitonin-producing C-cells, which for long were inferred a neural crest origin, shuttled to the embryonic thyroid by the ultimobranchial bodies. However, recent lineage tracing experiments firmly establish these neuroendocrine cells also derive from foregut endoderm. Key questions remaining unanswered are how thyroid primordia independently develop and, unlike in all non-mammalian vertebrates, merge into a dual endocrine organ. Here, by leveraging a single-cell transcriptome atlas derived from mouse pharyngeal endoderm and its subsequent cell fates, we characterize the global gene expression profile of thyroid- and ultimobranchial-derived progenitor cells and identify comprehensive gene regulatory networks of lineage-specific transcription factors and novel target genes predicted to differentially regulate cell proliferation, plasticity and differentiation during development. Spatiotemporal analyses reveal C-cell precursors are triggered to undergo epithelial-mesenchymal transition (EMT) and cell-autonomously down-regulate collagen IV and degrade laminin that delineates the ultimobranchial body epithelium. However, the EMT program is not fully deployed until both cell lineages are mixed and propagate conjointly thus forming the typical thyroid histoarchitecture of follicles and parafollicular C-cells, every follicle/C-cell unit being enveloped by a renewed basement membrane. Mixed-type thyroid carcinoma recapitulates a synchronous lineage growth pattern but only the neuroendocrine tumor cells are able to escape the compound follicle boundaries and become invasive adopting a C-cell precursor-like migratory phenotype.

developmental biology↗

bioRxiv2026

Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

Single-cell RNA sequencing enables high-resolution characterization of cellular heterogeneity, yet integrating datasets from diverse sources remains challenging due to batch effects. Current methods rely on implicit feature disentanglement and and lack geometric constraints, often result in under-correction, over-correction, or compromised biological fidelity. Here, we present iDLC, an interpretable deep learning framework that performs dual-level correction through explicit feature disentanglement and optimal transport-regularized adversarial alignment. iDLC separates biological and technical components within a structured latent space, then leverages high-confidence mutual nearest neighbor pairs to guide geometrically constrained distribution alignment. Systematic evaluation across pancreatic cancer datasets with varying batch effect intensities, multi-source human immune cells, and large-scale cross-species atlases demonstrates that iDLC robustly eliminates complex batch effects while preserving fine-grained cell subtypes, continuous developmental trajectories, and rare populations. The framework scales efficiently to datasets exceeding one million cells and consistently outperforms existing methods in both batch correction and biological conservation metrics. iDLC provides a principled and reliable tool for constructing unified single-cell reference atlases across diverse experimental conditions and biological systems.

bioinformatics↗

bioRxiv2026

A hypothalamo-septo-hippocampal circuit for REM sleep-dependent consolidation of social memory

REM sleep constitutes a critical window for memory consolidation, yet the brain circuits orchestrating this process remain incompletely defined. Here, we identify a lateral supramammillary nucleus (SuM)-medial septum (MS) projection as a REM sleep-specialized pathway essential for hippocampal memory consolidation. Fiber photometry and optrode recordings revealed that lateral SuM-MS projecting neurons were selectively active during REM sleep. REM-specific optogenetic silencing of this projection impaired consolidation of both social and contextual fear memories. Crucially, silencing of its downstream target, the MS-CA2 pathway, during REM sleep selectively disrupted social memory while sparing contextual fear memory. This functional dissection establishes a hypothalamo-septo-hippocampal circuit (lateral SuM-MS-CA2) dedicated to social memory processing, in parallel to the recently-described direct SuM-CA2 pathway. These results also position the SuM as a REM sleep-hub that routes information via parallel septal pathways to consolidate distinct memory modalities.

neuroscience↗

bioRxiv2026

Molecular Imaging of the TGF-β Activating Integrin αvβ6 Detects Chronic Lung Allograft Dysfunction

TGF-{beta}-activating integrins promote solid-organ fibrosis, suggesting their use as a molecular marker of disease. Chronic lung allograft dysfunction (CLAD), a progressive fibrotic complication that limits lung transplant survival, is driven by intragraft TGF-{beta} activation. However, the expression patterns of TGF-{beta}-activating integrins remain undefined in lung transplants. Single-cell RNA sequencing in a mouse CLAD model revealed high levels of the TGF-{beta}-activating integrin v{beta}6, which was mainly localized to fibrosis-associated Krt8+ transitional alveolar cells (AT1/2), while tolerant transplants lacked both v{beta}6 expression and Krt8+AT1/2 cells. Molecular imaging with a newly developed positron emission tomography radiotracer specific for v{beta}6, [64Cu]Cu-DOTA-A20-K16R, showed significantly higher uptake in CLAD versus tolerant transplants. In contrast, [64Cu]Cu-DOTA-A20-K16R allograft uptake was reduced by treatments that lowered v{beta}6 expression and CLAD severity. Finally, [64Cu]Cu-DOTA-A20-K16R autoradiographic analysis on human explanted lungs with CLAD showed elevated activity that correlated with v{beta}6 expression. Collectively, these findings demonstrate the potential utility of v{beta}6 molecular imaging to detect CLAD pathogenesis.

immunology↗

bioRxiv2025

Juvenile reinstatement of TCF4 in Pitt-Hopkins syndrome model mice reveals a critical window for genetic intervention

Pitt-Hopkins syndrome (PTHS) is a neurodevelopmental disorder caused by haploinsufficiency of TCF4 which encodes transcription factor 4. As PTHS therapeutics advance toward clinical trials, identifying the optimal timing for treatment is crucial. Our previous research demonstrated that restoring TCF4 during embryonic or neonatal stages, corresponding to prenatal or neonatal periods in humans, improved phenotypes in a PTHS mouse model (Kim et al., 2022). However, PTHS diagnosis generally occurs much later, when infants fail to reach developmental milestones and undergo genetic testing. This raises an essential question: can genetic therapeutics initiated at more clinically relevant time points retain effectiveness? Here, we examined whether reinstating TCF4 in juvenile PTHS model mice could reverse behavioral phenotypes, simulating a gene therapy. Our findings indicate that this delayed intervention largely fails to correct most phenotypes, except for a measure of cognitive function. These results reveal phenotype-specific plasticity and underscore a narrow, early critical window for effective treatment in PTHS. Our study also identifies the hippocampus as a potential target for PTHS therapeutics and suggests that while some cognitive functions may still retain therapeutic plasticity, reversing most core PTHS symptoms may require intervention during the very early postnatal, or potentially prenatal periods, in humans.

neuroscience↗

bioRxiv2025

Mechanical Ventilation Suppresses Glymphatic Function in Parallel with Delirium-Like Symptoms in Mice

Delirium is a common and serious complication in critically ill patients, arising from multiple overlapping risk factors. Its pathogenesis remains poorly understood because it reflects the combined effects of interacting clinical insults, and because appropriate experimental models for mechanistic studies have been lacking. Delirium most commonly develops in patients undergoing major surgery or requiring intensive care, where inhalational anesthesia, opioid sedation, and mechanical ventilation are common clinical exposures. Here, we tested the hypothesis that these clinically relevant interventions are sufficient to induce delirium-like behavior in healthy young wild-type mice by disrupting cerebrospinal fluid (CSF) glymphatic transport. The analysis showed that inhalational anesthesia combined with mechanical ventilation increased intracranial pressure (ICP) and induced a sustained suppression and rerouting of glymphatic waste clearance, resulting in impaired waste clearance, and acute cytokine accumulation. These findings identify disruption of brain fluid dynamics as a potential mechanism contributing to delirium in perioperative and intensive care settings. Equally important, this model represents a distinct experimental platform that combines clinically relevant mechanical ventilation, inhalational anesthesia, and opioid analgesia to produce delirium-like behavioral abnormalities in otherwise healthy mice. It therefore provides a powerful tool for future mechanistic studies of delirium pathogenesis.

neuroscience↗