Biology subjects

Qian, W.

Publications and source records attributed to Qian, W..

At least 19 recordsLinked to original sources

bioRxiv2026

A family of metabolite damage-control phosphatases modulates ROS-induced autophagy and plant stress resilience

Autophagy is an intracellular recycling pathway with profound impacts on development, growth, and stress tolerance in eukaryotes. Therefore, unravelling signalling mechanisms that modulate the process has broad applicability. Here, we characterised a small organic molecule as an enhancer of autophagy across diverse plant lineages. Through an in vivo photoaffinity proteomics approach in Arabidopsis thaliana seedlings, we identified Domain of Unknown Function 89 (DUF89) proteins as molecular targets. Hereafter, we refer to these proteins as Reactive Metabolite Damage-Control Phosphatases (RMDPs), which are metabolite-repair phosphatases that clear reactive products. The new autophagy modulator is called RMDP inhbitor-1 (RMDPi-1) due to its demonstrated inhibitory effect on AtRMDP1 activity in vitro. Binding was further confirmed through co-incubation that thermostabilised the protein. Crystal structures of AtRMDP1 were obtained via X-ray diffraction, confirming binding of RMDPi-1 in the catalytic site and revealing a flexible region near the binding pocket that was absent in previous models. Molecular docking predicted two possible binding modes consistent with the observed electron density. RMDPi-1 treatment and the phosphatase gene knockout increased autophagic flux in Arabidopsis and Chlamydomonas reinhardtii, establishing a conserved effect. The observed autophagy response is linked to a spike in reactive oxygen species (ROS). AtRMDP knockout also results in higher ROS tolerance and greater biomass in Arabidopsis seedlings. Targeted and untargeted metabolomic experiments revealed that both pharmacological and genetic suppression of RMDP leads to accumulation of glycating agents and phosphate sugars, associating loss of RMDP activity to the ROS stress that induces alternate ROS-scavenging mechanisms, and autophagy. Taken together, our integrated chemical genetics approach reveals enhanced autophagy via inhibition of RMDP family members, which impacts on plant stress tolerance via conserved metabolite damage-control functions.

plant biology↗

bioRxiv2026

USP20 Stabilizes FABP5 to Drive Macrophage Foam Cell Formation and Atherosclerosis

Background: Macrophage foam cell formation is a central event in atherosclerosis. Although protein ubiquitination is increasingly recognized as a regulator of macrophage lipid handling, whether deubiquitinating enzymes directly control lipid uptake and metabolic remodeling during atherogenesis remains unclear. Methods and Results: Here, transcriptomic profiling identified ubiquitin-specific protease 20 (USP20) as a previously unrecognized regulator of macrophage foam cell formation. Genetic and pharmacological studies demonstrated that USP20 promoted macrophage lipid accumulation and foam cell formation, whereas macrophage-specific Usp20 deficiency markedly attenuated atherosclerotic lesion formation, lipid deposition, and macrophage accumulation in mice. To elucidate the underlying mechanism, integrative analysis of USP20-interacting proteins and proteomic alterations in Usp20-deficient macrophages identified fatty acid-binding protein 5 (FABP5) as a substrate of USP20. Mechanistically, USP20 interacted with FABP5 and stabilized its protein abundance by preventing ubiquitin-dependent proteasomal degradation. Consequently, USP20-mediated stabilization of FABP5 enhanced PPAR{gamma} occupancy at the Cd36 promoter, thereby increasing Cd36 transcription, ox-LDL uptake, and foam cell formation. Accordingly, Fabp5 knockdown abolished USP20-induced CD36 expression, ox-LDL uptake, and foam cell formation, whereas pharmacological activation of PPAR{gamma} restored CD36 expression in Fabp5-deficient macrophages. Finally, macrophage-targeted delivery of the USP20 inhibitor GSK2643943A markedly reduced atherosclerotic burden without evident systemic toxicity, supporting the therapeutic potential of targeting USP20 in atherosclerosis. Conclusions: USP20 promotes macrophage foam cell formation by stabilizing FABP5 and enhancing PPAR{gamma}-dependent Cd36 transcription. Targeting the USP20-FABP5-PPAR{gamma}-CD36 axis may represent a therapeutic strategy to limit macrophage lipid accumulation, metabolic dysfunction, and atherosclerosis progression.

cell biology↗

bioRxiv2026

Multilayer-assembled microfluidic chip with Tesla-valve channels: Combined biochemical gradient and mechanical stiffness interface for 3D SKOV3 cell culture

Biochemical gradients and mechanical microenvironments synergistically regulate tumor cell proliferation, migration, and phenotypic evolution, which are critical for recapitulating in vitro tumor physiological microenvironments. In this work, a multilayer-assembled microfluidic chip integrated with Tesla-valve flow channels was developed for 3D SKOV3 cell culture under combined biochemical gradients and mechanical stiffness interfaces. The reconfigurable multilayer PMMA structure enables flexible construction of diverse concentration gradient fields, while the embedded Tesla-valve geometry effectively stabilizes fluid flow, reduces flow velocity fluctuation, and generates smoother, more stable biochemical gradients compared with conventional curved channel designs. Multiphysics simulations were performed to systematically verify the flow field distribution and gradient formation performance of the optimized channel structure. Furthermore, by constructing heterogeneous hydrogel microenvironments consisting of rigid Pluronic F127 and soft dextran hydrogel inside microfluidic chambers, stable mechanical stiffness interfaces were successfully fabricated. Combined with TGF {beta}1 biochemical stimulation, the platform was applied to explore the durotactic migration and morphological changes of 3D-cultured SKOV3 cells at stiffness interfaces. Fluorescence staining results demonstrated that mechanical boundary conditions significantly affected cell migration behavior and cell aggregation phenotypes under consistent biochemical induction. With the advantages of low cost, simple assembly, good biocompatibility, and controllable dual physicochemical microenvironments, this multilayer microfluidic platform provides a reliable and efficient strategy for in vitro tumor microenvironment simulation and tumor cell mechanobiology research.

bioengineering↗

bioRxiv2025

EPAS1 regulates host antibacterial defense in response to bacterial quorum sensing

Hypoxia-inducible factors (HIFs) are a family of transcription factors that function as sensors of hypoxia. However, it remains unclear whether and how HIFs modulate host immunity by responding to other ligands. Here, we describe an immune regulatory function of HIF-2 (also known as EPAS1) in response to cis-2-dodecenoic acid (BDSF), a quorum sensing (QS) signal, secreted by Burkholderia cenocepacia. Upon ligand binding, EPAS1 activation leads to the production of inflammatory cytokines and the initiation of antibacterial defense. Inoculation with diffusible BDSF or liposome-encapsulated BDSF improves survival in mice infected with B. cenocepacia or Acinetobacter baumannii by preconditioning the immune system. Our findings reveal a previously unidentified role of EPAS1 as an intracellular pattern recognition receptor (PRR) for bacterial QS signal to control host antibacterial defense.

microbiology↗

bioRxiv2025

Respiratory viral infections prime accelerated lung cancer growth

The COVID-19 pandemic has highlighted long-term health concerns of viral pneumonia, yet its potential impact on cancer development and growth remains poorly understood. Here, we demonstrate that prior infection with SARS-CoV-2 or influenza virus promoted lung tumor progression by reprogramming the local immune landscape. Retrospective clinical analysis revealed that patients hospitalized with COVID-19 exhibited increased lung cancer incidence. Using multiple murine lung cancer models, we show that prior severe respiratory viral infections accelerated tumor growth and reduced survival. Mechanistically, prior viral pneumonia epigenetically remodeled the lung to establish a pro-tumor microenvironment, including the local accumulation of SiglecFhi tumor-associated neutrophils, a transcriptionally reprogrammed, immunosuppressive population whose signature predicted poor prognosis in human lung adenocarcinoma. In parallel, epithelial compartments exhibited altered differentiation trajectories, with persistence of injury-associated alveolar intermediates positioned along tumorigenic lineages. We observe sustained chromatin remodeling at key cytokine loci in immune and structure cells, linking inflammatory memory to persistent immune suppression. Therapeutically, combined inhibition of neutrophil recruitment via CXCR2 and PD-L1 signaling restored CD8 T cell infiltration and suppressed tumor growth. Together, our findings establish a direct causal relationship between viral pneumonia, including COVID-19, and lung tumorigenesis, highlighting the urgent need to monitor survivors for elevated cancer risk and to develop targeted interventions and therapies aimed at preventing potential cancer bursts in COVID-19 convalescents. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=185 SRC="FIGDIR/small/672566v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@1c6705borg.highwire.dtl.DTLVardef@fa728eorg.highwire.dtl.DTLVardef@76fc6corg.highwire.dtl.DTLVardef@1b65336_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Glycemia Shift Pancreatic Islets Rhythmicity via δ-α Cell in vivo, Impairment in Diabetes

Blood glucose homeostasis relies on the well-coordinated rhythmic activity of millions of islets throughout the pancreas. Islet rhythmicity is triggered by glucose elevation and mediated by paracrine interactions. However, the dynamics of islet population rhythmicity in healthy and diabetic pancreases in vivo remain poorly understood. Using simultaneous multi-islet Ca2+ imaging (20-100 islets per experiment) in both live mice and pancreatic tissue slices, we systematically studied how glycemia fluctuations and intra-islet paracrine signaling collectively shape the islet rhythmicity. In this study, we report that a transition from Hyperglycemia to Euglycemia induces a coordinated shift from slow to fast islet Ca2+ oscillations (HESF) in vivo. HESF is conserved in pancreatic tissue slices and isolated islets, however, not dispersed single cells in vitro, suggesting a mechanistic link with paracrine interactions. We found HESF arises from -cell activation, which is inhibited by {delta} cells upon glucose elevation. The autonomous islets mostly differ in phase and period at high glucose level. Diabetic mice with disrupted glycemic stability lost HESF both in vivo and in vitro. Interestingly, HESF is preserved in {beta}-cell knockout Gcgr transgenetic mice, both in vivo and in vitro, suggesting HESFs dependence on Glp1r. Indeed, HESF was restored in semaglutide-treated diabetic mice with stabilized glycemic stability. These findings offer a comprehensive understanding of how {delta} and cells influence islet rhythmicity and precisely maintain the stability of blood glucose.

physiology↗

bioRxiv2025

Modular cyanobacterial regulatory architecture enables dynamic graded responses to oxidative stress

A fundamental paradox of oxygenic photosynthesis: growth-essential energy machinery generates reactive oxygen species (ROS) threatening survival, yet the systems-level regulatory networks balancing the growth-survival trade-off remain unclear. Through integrative experimental-computational analysis combining steady-state transcriptomics with independent component analysis across 0-78.4% oxygen, we decoded the regulatory architecture driving progressive transitions in Synechococcus elongatus PCC 7942 from ROS sensing through defense to growth shutdown. Integration of 407 transcriptome samples identified 78 regulatory modules (iModulons) explaining 72.3% of expression variance and revealed calibrated responses: low stress triggers metalloregulators (SufR, PerR) for ROS sensing and primary antioxidants; moderate stress activates RpaB operating through four distinct regulatory states redirecting metabolism to defense; severe stress induces growth arrest via stringent response pathway convergence. This quantitative regulatory framework enables precise growth-defense calibration through modular network architecture: RpaB coordinates genome-wide resource reallocation (RpaB[~]P growth-promoting, RpaB ROS defense-activating, RpaABC circadian-integrating, RpaB ycf46 checkpoint activation), offering systematic strategies for engineering stress-tolerant bioplatforms and predictive models for environmental stress responses.

systems biology↗

bioRxiv2025

Neurocomputational underpinnings of suboptimal beliefs in recurrent neural network-based agents

Maladaptive belief updating is a hallmark of psychiatric disorders, yet its underlying neurocomputational mechanisms remain poorly understood. While Bayesian models characterize belief updating in decision-making, they do not explicitly model neural computations or neuro-modulatory influences. To address this, we developed a recurrent neural network-based reinforcement learning framework to investigate decision-making deficits in psychiatric conditions, using schizophrenia as a test case. Agents were trained on a predictive inference task commonly used to assess cognitive deficits found in schizophrenia, including under-updating beliefs in volatile environments and over-updating beliefs in response to uninformative cues. The task thus included two conditions: (1) a change-point condition requiring adaptation in a volatile environment and (2) an oddball condition requiring resistance to outliers. We modeled these deficits by systematically manipulating key hyper-parameters associated with specific neural theories: reward prediction error (RPE) discounting and scaling (reflecting diminished dopamine responses), network dynamics disruption (reflecting impaired working memory), and rollout buffer size reduction (reflecting decreased episodic memory capacity). These manipulations reproduced schizophrenia-like decision-making impairments and revealed that suboptimal agents exhibited fewer unstable fixed points near network activity in the changepoint condition, suggesting reduced computational flexibility. This framework extends computational psychiatry by linking cognitive biases to neural dysfunction and provides a mechanistic approach to studying decision-making impairments in psychiatric disorders.

neuroscience↗

bioRxiv2025

Avoidance of fratricide and improved efficacy of CD33-MSLN CAR-iNK cells in treating acute myeloid leukemia

Acute myeloid leukemia (AML) patients are often older, which brings challenges of endurance and persistent efficacy of autologous CAR-T cell therapies. Allogenic CAR-NK cell therapies may offer reduced toxicities and enhanced anti-leukemic potential against AML. In this study, we designed a novel CD33-mesothelin loop CAR (Loop CAR) and evaluated its anti-tumor efficacy in human umbilical cord blood-derived NK (UCB-NK) cells and human pluripotent stem cell-derived NK (hPSC-iNK) cells. The Loop CAR exhibited superior cytotoxicity against dual-antigen-positive tumor cell lines and primary AML cells. To further avoid fratricide caused by endogenous CD33 expression in NK cells, we established a hPSC-derived cell line via knockout of CD33 gene (CD33KO) and engineered Loop CAR. Rather than enforced expression of exogenous CD16, we generated abundant mature CD33KO-Loop CAR-iNK cells highly expressing endogenous CD16 via an organoid induction approach. This innovative strategy effectively mitigated NK cell fratricide and significantly enhanced CD33 and mesothelin-mediated specific cytotoxicity. Moreover, the CD33KO-Loop CAR-iNK cells demonstrated superior tumor-killing activity in AML xenograft mice and significantly prolonged survival. hPSC-derived CD33KO-Loop CAR-iNK cells possess unique advantages and translational potential for treating AML.

cancer biology↗

bioRxiv2025

Engineered CRO-CD7 CAR-NK cells derived from pluripotent stem cells avoid fratricide and efficiently suppress human T-cell malignancies

BackgroundT cell malignancies are highly aggressive hematological tumors with limited effective treatment options. CAR-NK cell therapy targeting CD7 has emerged as a promising approach for treating T-cell malignancies. However, conventional CAR-NK cell therapy faces the challenges of cell fratricide due to CD7 expression on both malignant cells and normal NK cells. Additionally, engineering CARs into human tissue-derived NK cells demonstrates heterogeneity, low transduction efficiency, and high manufacturing costs. MethodsThe human pluripotent stem cells (hPSCs) were genetically modified by knocking out the CD7 gene and introducing the CD7 CAR expression cassette to generate CD7 KO-CD7 CAR-hPSCs. These modified hPSCs were subsequently differentiated into CD7 KO-CD7 CAR-iNK cells using an efficient organoid induction method. The cytotoxicity of CD7 KO-CD7 CAR-iNK cells against CD7+ tumor cells was evaluated. Furthermore, we overexpressed the CXCR4 gene in CD7 KO-CD7 CAR-hPSCs and derived CXCR4-expressing CD7 KO-CD7 CAR-iNK (CRO-CD7 CAR-iNK) cells. The dynamics of CRO-CD7 CAR-iNK cells in vivo were tracked, and their therapeutic efficacy was assessed using human T-cell acute lymphoblastic leukemia (T-ALL) xenograft models. ResultsThe CD7 KO-CD7 CAR-iNK cells derived from CD7 KO-CD7 CAR-hPSCs effectively avoided fratricide, demonstrated normal expansion, and exhibited potent and specific anti-tumor activity against CD7+ T-cell tumor cell lines and primary T-ALL cells. CXCR4 overexpression in CRO-CD7 CAR-iNK cells improved their homing capacity and extended their persistence in vivo. The CRO-CD7 CAR iNK cells significantly suppressed tumor growth and prolonged the survival of T-ALL tumor-bearing mice. ConclusionsOur study provides a reliable strategy for the large-scale generation of fratricide-resistant CD7 CAR-iNK cells with robust anti-tumor effects from hPSCs, offering a promising cell product to treat T-cell malignancy.

cancer biology↗

bioRxiv2024

Spatially ordered zygotic genome activation fulfills embryo quality control

Early embryo development features autonomous, maternally-driven cell divisions that self- organize the multicellular blastula or blastocyst tissue. Maternal control cedes to the zygote starting with the onset of widespread zygotic genome activation (ZGA), which is essential for subsequent cell fate determination and morphogenesis. Intriguingly, although the onset of ZGA is highly regulated at the level of an embryo, it can be non-homogenous and precisely patterned at the single-cell level. We previously demonstrated a stereotyped spatial and temporal ordering of ZGA in a model vertebrate embryo. Unknown, however, was whether this precise ZGA patterning was required for development. To address this fundamental question, we devised a strategy to spatially control cell divisions in the embryo that perturb blastula embryo organization. We demonstrate the feasibility of spatially inverting the cell size pattern of embryos and find that these inverted embryos undergo a flipped pattern of ZGA. Mispatterned ZGA along the animal-vegetal axis causes embryo apoptosis, revealing that gastrula embryos have a built-in quality control system to sense inappropriate ZGA patterning, including regional defects in transcriptional onset. The quality control response is non-autonomous which may depend on anti-apoptotic signals that repress cell death outside of the animal hemisphere. These results reveal the requirement of properly patterned ZGA for normal development and the existence of an embryo quality control response exquisitely tuned to the spatial and temporal ordering of genome activation and zygotic gene expression.

developmental biology↗

bioRxiv2024

Natural monoclonal autoantibodies against HERV-K102 Envelope-TM from SLE patients selectively eliminate autoreactive immune cells and cancer cells

In sharp contrast to immune dysfunction in cancer, autoimmune diseases such as systemic lupus erythematosus (SLE) exhibit excessive immune reactions characterized by high titers of autoantibodies to HERV-K102-envelope (HERV-K102-Env) neoantigens, which are frequently found in cancer patients but seldom elicit a strong immune response. Here we aim to address whether anti-HERV-K102-Env autoantibodies in SLE can effectively eliminate autoreactive immune cells and cancer cells expressing HERV-K102-Env neoantigens. We established world-first fully human autoantibody phage display library with 3.67x108 cfu using peripheral blood mononuclear cells (PBMCs) from SLE patients. Through high-throughput screening, we identified nineteen monoclonal autoantibodies (mAbs) targeting the conserved HERV-K102 Env-TM subunit. The EC50 values of these autoantibodies binding to the HERV-K102 Env-TM subunit ranged from 0.002436 g/ml to 1.798 g/ml. Remarkably, eleven of these mAbs not only recognized the HERV-K102 Env-TM glycoprotein on the cell surface but also effectively eliminated autoreactive B, T, and natural killer (NK) cells in SLE, as well as cancer cells. Our findings provide a conceptually new immunotherapy target HERV-K102 Env-TM subunit and open the era of using natural human autoantibodies to treat autoimmune disease and cancers. Several of these monoclonal autoantibodies show promise as potential diagnostic and therapeutic agents, paving the way for innovative approaches to treating SLE and various malignancies.

immunology↗

bioRxiv2024

δ-α cell-to-cell interactions modulate pancreatic islet Ca2+ oscillation modes

Glucose-induced pancreatic islet hormone release is tightly coupled with oscillations in cytoplasmic free Ca2+ concentration of islet cells, which is regulated by a complex interplay between intercellular and intracellular signaling. {delta} cells, which entangle with cells located at the islet periphery, are known to be important paracrine regulators. However, the role of {delta} cells in regulating Ca2+ oscillation pattern remains unclear. Here we show that {delta}- cell-to-cell interactions are the source of variability in glucose-induced Ca2+ oscillation pattern. Somatostatin secreted from {delta} cells prolonged the islets oscillation period in an cell mass-dependent manner. Pharmacological and optogenetic perturbations of {delta}- interactions led islets to switch between fast and slow Ca2+ oscillations. Continuous adjustment of {delta}- coupling strength caused the fast oscillating islets to transition to mixed and slow oscillations. We developed a mathematical model, demonstrating that the fast-mixed-slow oscillation transition is a Hopf bifurcation. Our findings provide a comprehensive understanding of how {delta} cells modulate islet Ca2+ dynamics and reveal the intrinsic heterogeneity of islets due to the structural composition of different cell types. HighlightsO_LISomatostatin slows down islet Ca2+ oscillations in an cell mass-dependent manner. C_LIO_LIPharmacological and optogenetic perturbations of {delta}- interaction cause islet Ca2+ oscillation mode switching. C_LIO_LIContinuous tuning of {delta}- interaction strength induces fast-mixed-slow oscillation transition successively. C_LIO_LIMathematical modeling shows the fast-mixed-slow oscillation transition as a Hopf bifurcation. C_LI

systems biology↗

bioRxiv2024

A novel hybrid Wireless Integrated Sensing Detector for simultaneous EEG and MRI (WISDEM)

Concurrent recording of EEG/fMRI signals reveals cross-scale neurovascular dynamics that are crucial for elucidating fundamental linkage between function and behaviors. However, MRI scanners generate tremendous artifacts for EEG detection. Despite existing denoising methods, cabled connections to EEG receivers are susceptible to environmental fluctuations inside MRI scanners, creating baseline drifts that complicate EEG signal retrieval from the noisy background. Here, a Wireless Integrated Sensing Detector for simultaneous EEG and MRI (WISDEM) is developed to encode fMRI and EEG signals on distinct sidebands of the detectors oscillation carrier wave for detection by a standard MRI console over the entire duration of fMRI sequence. Local field potential (LFP) and fMRI maps are retrieved through low-pass and high-pass filtering of frequency-demodulate signals. From optogenetically-stimulated somatosensory cortex, the positive correlation between evoked LFP and fMRI signals validates strong neurovascular coupling, enabling cross-scale brain mapping with this 2-in-1 transducer as a research and diagnostic tool.

bioengineering↗

bioRxiv2024

The Assembly of Purple-red Spinach Provides Insight into the Mechanism of Betalain Biosynthesis

Purple-red spinach is a unique cultivar with rich in betalains, which has been used for food colorants and is beneficial for human health. In view of the lack of genomic inforamtion of purple-red spinach genome and promote the idetification of betalian gene, we presented the genome of purple-red spinach with Nanopore ultra-long and illumina sequencing platform. The contig N50 size was 2.2Mb and 99.33% contig sequence was anchored to the six chromosomes, totaling 878.83Mb. The purple-red genome constitues 74.15% repeat sequence and harbors 26020 protein-coding genes. We also comprehensively identified candidate genes in betalain biosynthesis pathway in spinach. Moreover, a combined transcriptomic and BSA analysis uncovered a key betalain gene, FUN_002594, which regulated the color and betalain content of leaf. Our data present a valuable resource for facilitating molecular breeding programs of spinach and shed novel light on unique attributes, as well as the modulation of betalain biosynthesis.

genomics↗

bioRxiv2024

Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics

One of the central goals of neuroscience is to gain a mechanistic understanding of how the dynamics of neural circuits give rise to their observed function. A popular approach towards this end is to train recurrent neural networks (RNNs) to reproduce experimental recordings of neural activity. These trained RNNs are then treated as surrogate models of biological neural circuits, whose properties can be dissected via dynamical systems analysis. How reliable are the mechanistic insights derived from this procedure? While recent advances in population-level recording technologies have allowed simultaneous recording of up to tens of thousands of neurons, this represents only a tiny fraction of most cortical circuits. Here we show that observing only a subset of neurons in a circuit can create mechanistic mismatches between a simulated teacher network and a data-constrained student, even when the two networks have matching single-unit dynamics. In particular, partial observation of models of low-dimensional cortical dynamics based on functionally feedforward or low-rank connectivity can lead to surrogate models with spurious attractor structure. Our results illustrate the challenges inherent in accurately uncovering neural mechanisms from single-trial data, and suggest the need for new methods of validating data-constrained models for neural dynamics.

neuroscience↗

bioRxiv2024

Protection against APOE4-associated aging phenotypes with the longevity-promoting intervention 17α-estradiol in male mice

The apolipoprotein {varepsilon}4 allele (APOE4) is associated with decreased longevity, increased vulnerability to age-related declines, and disorders across multiple systems. Interventions that promote healthspan and lifespan represent a promising strategy to attenuate the development of APOE4-associated aging phenotypes. Here we studied the ability of the longevity-promoting intervention 17-estradiol (17E2) to protect against age-related impairments in APOE4 versus the predominant APOE3 genotype using early middle-aged mice with knock-in of human APOE alleles. Beginning at age 10 months, male APOE3 or APOE4 mice were treated for 20 weeks with 17E2 or vehicle then compared for indices of aging phenotypes body-wide. Across peripheral and neural measures, APOE4 was associated with poorer outcomes. Notably, 17E2 treatment improved outcomes in a genotype-dependent manner favoring APOE4 mice. These data demonstrate a positive APOE4 bias in 17E2-mediated healthspan actions, suggesting that longevity-promoting interventions may be useful in mitigating deleterious age-related risks associated with APOE4 genotype.

systems biology↗

bioRxiv2024

CytoSignal Detects Locations and Dynamics of Ligand-Receptor Signaling at Cellular Resolution from Spatial Transcriptomic Data

Nearby cells within tissues communicate through ligand-receptor signaling interactions. Emerging spatial transcriptomic technologies provide a tremendous opportunity to systematically detect ligand-receptor signaling, but no method operates at cellular resolution in the spatial context. We developed CytoSignal to infer the locations and dynamics of cell-cell communication at cellular resolution from spatial transcriptomic data. CytoSignal is based on the simple insight that signaling is a protein-protein interaction that occurs at a specific tissue location when ligand and receptor are expressed in close spatial proximity. Our cellular-resolution, spatially-resolved signaling scores allow several novel types of analyses: we identify spatial gradients in signaling strength; separately quantify the locations of contact-dependent and diffusible interactions; and detect signaling-associated differentially expressed genes. Additionally, we can predict the temporal dynamics of a signaling interaction at each spatial location. CytoSignal is compatible with nearly every kind of spatial transcriptomic technology including FISH-based protocols and spot-based protocols without deconvolution. We experimentally validate our results in situ by proximity ligation assay, confirming that CytoSignal scores closely match the tissue locations of ligand-receptor protein-protein interactions. Our work addresses the fields current need for a robust and scalable tool to detect cell-cell signaling interactions and their dynamics at cellular resolution from spatial transcriptomic data.

bioinformatics↗