Biology subjects

Huang, Y.

Publications and source records attributed to Huang, Y..

At least 199 records · Page 11Linked to original sources

bioRxiv2025

Organization of mouse prefrontal cortex subnetwork revealed by spatial single-cell multi-omic analysis of SPIDER-Seq

Deciphering the connectome, anatomy, transcriptome and spatial-omics integrated multi-modal brain atlas and the underlying organization principles remains a great challenge. We developed a Single-cell Projectome-transcriptome In situ Deciphering Sequencing (SPIDER-Seq) technique by combining viral barcoding tracing with single-cell sequencing and spatial-omics. This empowers us to delineate a integrated single-cell spatial molecular, cellular, anatomic and projectomic atlas of mouse prefrontal cortex (PFC). The projectomic and transcriptomic cell clusters display distinct modular organization principles, but are coordinately configured in the PFC. The projection neurons gradiently occupied different territories in the PFC aligning with their wiring patterns. Importantly, they show higher co-projection probability to the downstream nuclei with reciprocal circuit connections. Moreover, we integrated projectomic atlas with their distinct spectrum of neurotransmitter/neuropeptide and the receptors-related gene profiles and depicted PFC neural signal transmission network. By which, we uncovered potential mechanisms underlying the complexity and specificity of neural transmission. Finally, leveraging machine learning, we predicted neuron projections with high accuracy by combining gene profiles and spatial information. As a proof of concept, we used this model to predict projections of fear recall engram neurons. This study facilitates our understanding of brain multi-modal network and neural computation.

neuroscience↗

bioRxiv2025

Repetitive Hibernation-Like State Suppresses the Progression of Amyloid Pathology

Alzheimers disease (AD) is characterized by the gradual accumulation of amyloid pathology before the onset of cognitive impairment, yet effective strategies to alter disease progression remain limited. Here, we tested whether induction of a hibernation-like physiological state can slow amyloid pathology in an AD mouse model. To achieve sustained effects, we developed a protocol for repeated induction of a hypometabolic/hypothermic state and found that it significantly slowed plaque accumulation in a duration-dependent manner. This intervention also attenuated neuroinflammation and the formation of dystrophic neurites associated with plaques. Notably, this approach does not target specific molecular pathways but instead modulates global brain state. Our findings establish a proof-of-concept for a brain-state- based therapeutic paradigm for modifying disease progression in AD.

neuroscience↗

bioRxiv2025

Cysteine protease cathepsin B promotes high population density-induced mutagenesis, driving genome evolution and competitive growth in response to the crowding stress

In a wide variety of species from invertebrates to mammals, overpopulation has been shown to induce low fertility and high mortality. Although density-dependent population regulation is widespread in the animal kingdom, the underlying molecular mechanisms remain poorly understood. We show here that C. elegans animals respond to the crowding stress by secreting CPR-4, a homologue of human cathepsin B cysteine protease, to promote chromosomal DNA damage in germ cells, leading to high density-induced deficiencies that include increased embryonic lethality and larval arrest and decreased brood size. CPR-4 mediates these crowding responses through the insulin-like growth factor receptor DAF-2, multiple components in the insulin signaling pathway, and the SKN-1/Nrf transcription factor. Whole genome sequencing analyses of animals from 10 generations of continual growth in the crowded condition reveal that CPR-4-induced DNA damage produces an average of 2.9 more de novo genome mutations per animal per generation and a 75% increase in mutation rate compared with animals grown in the uncrowded condition. CPR-4-induced mutagenesis also facilitates evolution of the genomes through multi-generational crowding selection, leading to biased mutation distributions towards the intergenic regions over the gene bodies and crowd-inducible growth advantage. Our findings suggest that CPR-4 acts as a crucial crowd-responding factor to induce chromosomal DNA damage, leading to density-dependent deficiencies, increased genome mutation rates, and genome evolution and competitive growth of animals in response to the crowding stress.

developmental biology↗

bioRxiv2025

In situ cryo-ET reveals restricted docking of intraflagellar transport at the base of the trypanosome flagellum

Cilia and flagella are conserved organelles essential for sensory and motility functions and are assembled and maintained by bidirectional intraflagellar transport (IFT) along the axoneme. In Trypanosoma brucei, IFT is concentrated at the flagellar base near the transition zone and is restricted to four microtubule doublets (MTDs) as it traverses from the transition zone to the axoneme before reaching the extra-axonemal structure, the paraflagellar rod (PFR), associated region. To gain an insight on its initial working model before IFT restriction occurs, we revealed the in situ architecture of the IFT complex during the initial and complete landing to the transition zone using cryo-focused ion beam (cryo-FIB) milling and cryo-electron tomography (cryo-ET). IFT proteins assemble into polymeric trains upon landing. However, in the proximal portion of the flagellum, subtomogram averaging revealed that each single train is associated with individual MTDs at variable A- or B-tubule positions. By using miniaturized and enucleated T. brucei zoids that preserve the full circular arrangement of MTDs without milling, we revealed an alternating but spatially restricted IFT train pattern during the landing process, resembling the anterograde train scaffold known in Chlamydomonas. Magnify expansion microscopy further confirmed this restricted distribution of IFT proteins at the basal pool. Depletion of the IFT component IFT46 protein reduced the number of simultaneously docked trains without altering the restricted landing spatial pattern. These findings reveal a previously unrecognized spatial regulation governing IFT train initiation at the flagellar base, which could operate independently of IFT-B structural integrity, bridging the gap between the IFT architecture and doublet-spatial docking prior to anterograde transport.

cell biology↗

bioRxiv2025

Density-based longitudinal neuron tracking in high-density electrophysiological recordings

Tracking single neurons across days in high-density extracellular recordings is essential for establishing neural mechanisms of learning, memory, and post-injury recovery. However, in weeks-long recordings, identifying cross-day matches among thousands of units is confounded by changes in spike waveforms, unit turnover, and representational drift in neural responses. We introduce DANT (Density-based Across-day Neuron Tracking), an unsupervised framework that jointly estimates probe motion and neuron identity by alternating between density-based clustering in feature space and probe-motion correction inferred from provisional matches. Estimated drift is used to re-register spike waveforms across sessions, after which clustering is recomputed; this iterative loop continues until the set of matches stabilizes. In parallel, DANT learns a decision boundary from match and non-match assignments derived from the clustering results, enabling it to reject low-similarity candidate pairs. Applied to weeks-long Neuropixels recordings from the cortex and striatum in freely moving rats during stable behavior and task switching, DANT substantially increases match yield and reduces false negatives while maintaining a low false-positive rate relative to existing approaches. Together, these results indicate that DANT provides a general, unsupervised solution for longitudinal tracking in chronic, high-density recordings. The bigger pictureModern high-density probes such as Neuropixels record hundreds of units per session. When chronically implanted, many of these units can be stably recorded over extended periods, opening the door to tracking how large neural populations change over days to weeks, a question central to learning, memory, internal states, and recovery from brain injury. Yet, small shifts in probe position, changes in spike waveforms, and drifts in firing properties mean that linking units across sessions is challenging. DANT (Density-based Across-day Neuron Tracking) addresses this problem by providing an unsupervised framework that combines density-based clustering and iterative motion correction to identify cross-day matches with minimal subjective decisions. Applied to chronic Neuropixels recordings from freely moving, task-performing rats, DANT recovers longer and more complete chains of putative same neurons than existing approaches, while keeping the false-positive rate low. By making cross-day tracking more sensitive, scalable, and reproducible, DANT enables a wider range of neuroscience studies to examine the longitudinal behavior of single neurons and neural populations.

neuroscience↗

bioRxiv2025

scHG: a supercell framework with high-order graph learning enables hyper-fast multi-omics analysis

Multi-omics profiling--spanning proteomics, transcriptomics, and additional omics data types--is rapidly advancing, providing increasingly detailed maps of cellular identity and function. In parallel, computational methods have evolved to integrate diverse omics with increasing precision in resolving cellular heterogeneity and delineating subtle subpopulation structures. Yet, capturing rare cell population while maintaining computational tractability remains a major challenge. Here, we introduce the supercell paradigm, in which expression-coherent cells are compressed into candidate units for rare cell population. Supercells are constructed using angle-aware similarity metrics and second-order co-occurrence neighbors, with impurity cells pruned by degree centrality. To address scalability, we implement sparse matrix optimization and iterative high-order graph updates, enabling efficient integration of large-scale multi-omics datasets. Building on this framework, we develop scHG, a high-order graph learning approach guided by an omics-weighted optimizer that adaptively balances contributions from gene expression, surface proteins, and chromatin accessibility. Across six benchmark datasets (up to 30672 cells), scHG consistently outperforms state-of-the-art methods, improving mean ARI and NMI by 3.97% and 3.54%, respectively, while reducing runtime by 26.40%. Beyond performance gains, scHG was able to resolve fine-grained cellular heterogeneity within conventionally defined T cell populations, distinguishing subpopulations such as memory-like or progenitor-exhausted T cells and innate-like cytotoxic T cells. At the same time, the supercell framework uncovered rare populations, including dendritic-cell populations and NK-like B cells, that remained masked at the cluster level under standard pipelines. These results underscore both the rare-cell detection capability and the computational efficiency of scHG. Our code and data are available at http://mialab.ruc.edu.cn/scHG_code/zip.

bioinformatics↗

bioRxiv2025

Distinct neural temporal architectures encode rapid social expressions and sustained internal mood states

Affective processing operates across multiple temporal scales, from rapid social signaling through facial expressions to sustained internal mood states, yet the neural computational principles governing these different timescales remain unclear. Understanding how the brain implements distinct temporal architectures for momentary versus persistent affective phenomena is important to comprehending emotional processing and developing objective biomarkers for psychiatric conditions. Here, we introduced a multimodal approach combining automated facial expression monitoring and continuous intracranial electroencephalography in 2,037 electrode contacts across 16 epilepsy patients, over multiple days. Of these, 15 and 12 patients met criteria for facial expression and for mood analysis, respectively. Among patients meeting criteria, we captured 1,396 naturalistic smiles, and 3,746 neutral expressions - separated by at least 10 seconds, alongside 336 periodic mood assessments. This paradigm revealed distinct behavioral and neural computational architectures. Aperiodic neural activity in the lateral temporal cortex (79.5% accuracy) encoded facial expressions with high cross-participant generalizability. Mood states, however, showed different encoding patterns. Facial expressions provided no consistent mood indicators across participants. Critically, low-gamma power dynamics in limbic regions encoded mood states in only a subset of individuals (5 of 12 participants) with expression-mood behavioral correlations, suggesting a distinct encoding phenotype. Cross-domain analysis confirmed computational independence: neural features optimized for facial expression decoding failed to predict sustained mood states, and vice versa. These findings suggest that multiple neural mechanisms may influence underlying affective processing, with variations in their contributions between individuals. The results provide a framework for understanding individual differences in neural mood representation and establish methodological approaches for objective measurement of naturalistic affective behaviors.

neuroscience↗

bioRxiv2025

Pooled single-cell CRISPRa/i screens for functional genomics in bacteria at scale

Pooled CRISPR screens using single-cell RNA sequencing (scRNA-seq) have emerged as powerful tools to uncover gene function, map regulatory networks, and identify genetic interactions. However, the inherent sparsity of bacterial scRNA-seq data has posed a major challenge toward applying these approaches to bacteria. Here, we present mapSPLiT, a pooled bacterial CRISPR activation and interference (CRISPRa/i) screening platform that enables large-scale experiments that simultaneously link hundreds of perturbations to their corresponding single-cell transcriptomes. By targeting 52 known or putative transcription factors with 118 perturbations in a pooled experiment, we expanded the E. coli regulatory network map, determined the function of putative regulators, and identified emergent global phenotypes. By targeting combinations of transcription factors simultaneously, we uncovered genetic interactions and regulatory logic between them. Mapping regulatory networks for carbon utilization in P. putida revealed control points that could expand metabolic flexibility and improve biomanufacturing. Together, these results establish mapSPLiT as a generalizable platform for single-cell functional genomics in bacteria.

genomics↗

bioRxiv2025

IGHV3-53 antibody abundance drives divergent SARS-CoV-2 immune imprinting

The mechanisms driving divergent SARS-CoV-2 immune imprinting in populations with distinct SARS-CoV-2 exposure histories remain unclear. However, conventional wild-type mouse models fail to recapitulate severe imprinting, even after potent ancestral-strain mRNA immunization, hindering imprinting-related mechanistic investigation and vaccine evaluation. Here, we surprisingly found that V(D)J-humanized mice could faithfully recapitulate human severe imprinting phenotypes. Comprehensive antibody repertoire analysis and deep mutational scanning-based epitope mapping of 583 monoclonal antibodies from these models revealed that the pre-existing IGHV3-53/66 antibody abundance determine imprinting severity through antibody-mediated masking of Omicron-specific epitopes. Both passive IGHV3-53/66 antibody transfer and IGHV3-53 knock-in were sufficient to induce severe imprinting in wild-type mice. Together, these findings demonstrate that the V(D)J germline repertoire--even a single germline-encoded antibody response--can profoundly shape humoral imprinting severity. Accordingly, we established an IGHV3-53 knock-in mouse model that accurately recapitulates the human antibody landscape, providing a valuable tool for guiding future COVID-19 vaccine updates.

immunology↗

bioRxiv2025

Multi-Timescale Neural Adaptation Failure as a Mechanistic Signature of Major Depression

Major depression (MD) is usually characterized in terms of momentary abnormalities, such as negative bias or emotional blunting, derived from paradigms that measure only the first response to a stimulus. Yet depressive experience in daily life is repetitive and cumulative. Here we test the hypothesis that a failure of neural adaptation across repetitions is a core feature of MD. Using a repeated negative-stimulus paradigm, we quantified adaptation at micro (within-trial) and macro (across-session) scales via electroencephalography in 28 MD patients and 34 healthy controls, measuring both conventional event-related potentials and large-scale traveling-wave propagation. MD patients exhibited pervasive maladaptation: neural rigidity at the micro scale (absent repetition suppression) and progressive regulatory depletion at the macro scale (escalating emotional reactivity with declining cognitive control). Across analyses, adaptation-based metrics revealed larger group differences than single-shot indices, and classifiers built on adaptation features--especially traveling-wave dynamics--outperformed single-shot models (task AUC = 0.83 vs 0.78) and generalized to two independent datasets (up to AUC = 0.91). These findings challenge conventional symptom-based characterizations of MD, establishing adaptation failure--not initial reactivity--as the mechanistically primary pathological signature. This reframing provides a unified mechanistic explanation for rumination and cognitive inflexibility while offering a standardized, low-cost biomarker requiring minimal electrodes ([≤]8 channels), enabling large-scale screening in resource-limited settings.

neuroscience↗

bioRxiv2025

Echoes as Signal, Not Noise: Reverberation Sharpens Sensitivity to Temporal Structure

Sensitivity to temporal structure is fundamental to hearing, yet how natural reverberation shapes this sensitivity is unclear. Here we identify echo-facilitated temporal sensitivity (EFTS), a principle whereby the auditory system exploits echoes to selectively enhance responses to rapid temporal changes. Using transitional click trains with subtle inter-click-interval (ICI) shifts, we first show that increasing echo strength systematically enlarges the sound-level step at ICI transitions in both recorded and simulated stimuli, sharpening the physical boundary between segments of distinct temporal structure. In humans, psychophysical detection of ICI changes improves monotonically with echo level in both simulated and real free-field environments, while a late EEG change response scales with echo strength as onset responses remain comparatively stable. In awake rats, electrocorticography over auditory cortex reveals parallel echo-dependent enhancement of transition-evoked activity. Single units exhibit echo-level-dependent amplification of change-related firing and improved neurometric discriminability. Laminar local field potential and current source density analyses further show that echo-dependent divergence emerges first in granular and infragranular layers before propagating to supragranular cortex, consistent with thalamocortical drive followed by intracortical amplification. Together, these findings establish EFTS as a cross-species mechanism that reframes echoes as structured signals the brain uses to sharpen temporal integration in everyday listening.

neuroscience↗

bioRxiv2025

Substrates Coupling and Inhibition of the human Na+- dependent Cl-/HCO3-exchanger

Maintaining pH homeostasis is essential for neuronal excitability and for regulating cerebrospinal fluid (CSF). The Na+-dependent Cl-/HCO3- exchanger, NCBE (SLC4A10), abundant in the choroid plexus, contributes to CSF pH control by mediating bicarbonate flux, yet its molecular mechanism has remained unclear. Here we report cryo-EM structures of human NCBE in multiple functional states, revealing conserved binding sites for Na+, Cl-, and HCO3-, as well as an unexpected K+ site indicating relaxed cation selectivity. The inhibitor DIDS binds above the substrate cavity, locking NCBE in an outward-facing conformation and defining a subfamily-selective inhibitory mechanism. Functional assays and molecular dynamics simulations validate ion coordination and inhibitor effects. Comparison of cryo-EM structures with an AlphaFold3 inward-facing model supports an elevator-like mechanism and completes the conformational cycle of Na+-coupled HCO3- transporters. Together, these findings define the structural basis of NCBE and provide a framework for understanding ion coupling and pharmacological modulation within the SLC4 family.

biophysics↗

bioRxiv2025

Turning aging cells into a live vaccine: engineered senescent cancer cells with adjuvant celecoxib for immunotherapy

The immunoactivation effects of senescent tumor cells are a potential avenue for cancer therapy. They can act as antigen reservoirs for cancer vaccination, but how to maintain strong immunogenicity to induce a robust immunity is underexplored. In this study, we developed an engineered live vaccine composed of hydrogel-encapsulated senescent tumor cells and liposomal celecoxib (STCs+CLX-Lipo@Gel). This vaccine prolongs the in vivo persistence of senescent tumor cells and utilizes liposomal celecoxib (COX2 inhibitor) to promote the recruitment and maturation of dendritic cells (DC). Notably, a single dose can significantly delay melanoma growth by eliciting robust immunity. The vaccine extended the survival of mice with melanoma brain metastases. Moreover, this strategy also demonstrated high efficacy against orthotopic pancreatic tumors. This study presents a comprehensive strategy to boost the immunogenicity of whole-tumor-cell vaccines by leveraging senescent tumor cells and COX2 inhibition, with treatment efficacy in various tumor models. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/694320v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@f08fforg.highwire.dtl.DTLVardef@117d0aborg.highwire.dtl.DTLVardef@849665org.highwire.dtl.DTLVardef@adcf83_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphic summary.C_FLOATNO Schematic illustration of the preparation of live-cell vaccines and the tumor-specific immune responses elicited by the vaccine. Created with BioRender.com. C_FIG

bioengineering↗

bioRxiv2025

A coherent feed-forward loop fine-tunes KatG to maintain redox homeostasis in mycobacteria

Bacteria survive and reproduce in fluctuating environments by balancing their basic physiological needs, such as relying on iron-containing enzymes to detoxify reactive oxygen species (ROS) while conserving scarce iron. Understanding the regulatory networks that balance these conflicting needs is key to deciphering bacterial adaptability. Here, we identify a coherent feed-forward loop in mycobacteria that integrates the transcriptional regulator FurA3, the small RNA MrsI, RNA sponge FutR, and the catalase-peroxidase KatG. This circuit fine-tunes antioxidant responses according to iron availability. Under iron limitation, the iron-containing enzyme KatG is dually repressed by FurA3 transcriptionally and by MrsI post-transcriptionally, which conserves iron at the cost of antioxidant capacity. However, when iron deprivation coincides with oxidative stress, the circuit triggers an emergency response: H2O2 inactivates FurA3, relieving transcriptional repression of katG and futR, while induced FutR sequesters MrsI to post-transcriptionally derepress katG expression, enabling rapid KatG synthesis for effective peroxide detoxification. Our findings reveal a tightly regulated network that allows mycobacteria to balance iron homeostasis and oxidative stress defense, providing mechanistic insights into bacterial physiological trade-offs.

microbiology↗

bioRxiv2025

A Combinatorial mRNA Therapy for Treating Rheumatoid Arthritis and Osteoarthritis by Inhibiting Inflammation and Promoting Cartilage Regeneration

Rheumatoid arthritis (RA) and osteoarthritis (OA) are debilitating joint disorders with distinct etiologies but share common pathological features of chronic inflammation and progressive cartilage damage. Current therapeutic options are largely palliative and yet fail to achieve desired effect. In this study, we developed a combinatorial mRNA therapy using a rationally engineered lipid nanoparticle (LNP) containing a novel ionizable lipid for enhanced cartilage penetration upon intra-articular administration. This LNP co-delivers mRNAs encoding two complementary therapeutic proteins: interleukin-1 receptor antagonist (IL-1Ra) for inflammation attenuation and a C-terminal truncated derivative of angiopoietin-like 3 (ANL3) for cartilage regeneration. In pre-clinical models including collagen-induced arthritis mice, TNF-transgenic mice with spontaneous RA and destabilization of medial meniscus (DMM) surgical OA model, this "one-shot" combinatorial therapy significantly ameliorated disease severity, reduced synovitis and bone erosion, and potently promoted the regeneration of hyaline-like cartilage. Mechanistically, transcriptomic profiling of joint specimens revealed that the combinatorial therapy concurrently suppressed inflammatory pathways and extracellular matrix degradation pathways, meanwhile upregulating anabolic genes facilitating chondrogenesis. Collectively, our study establishes a versatile and synergistic mRNA therapy that offers a potent disease-modifying immunomodulatory strategy capable of addressing the long-standing unmet needs in arthritis treatment.

immunology↗

bioRxiv2025

Neuronal APOE4 reduction with an APOE-I3-targeting ASO protects against neurodegeneration and neuroinflammation in an Alzheimer's disease mouse model

Apolipoprotein E4 (APOE4) is the strongest genetic risk factor for late-onset Alzheimers disease (AD). Within the central nervous system (CNS), APOE is produced by a variety of cell types, with differential roles in AD pathogenesis. Studies have shown that APOE4 produced by neurons plays a central role in promoting the development of major AD pathologies, including p-tau accumulation, neuroinflammation, and neurodegeneration, highlighting its role as an upstream initiating factor that affects other cell types and downstream AD-related pathologies. Here, we demonstrate that antisense oligonucleotides (ASOs) targeting APOE-I3, a neuron-specific splicing variant of APOE mRNA, effectively reduce APOE expression in neurons in vitro and in vivo. Treating PS19 tauopathy mice expressing APOE4 with this APOE-I3-targeting ASO reduces neuronal APOE4, rescues neurodegeneration, and diminishes neuroinflammation. Strikingly, the extent of neuronal APOE4 reduction predicts the efficacy of rescuing neurodegeneration. Single nucleus RNA-sequencing demonstrated that APOE-I3-targeting ASO treatment decreases disease associated neuronal and glial subtypes and increases a disease-protective microglial subtype. These findings suggest that preferential knockdown of neuronal APOE4 with an APOE-I3-targeting ASO protects against key hallmarks of AD pathology, elucidating a potential therapeutic approach for treating APOE4-driven AD.

neuroscience↗

bioRxiv2025

Core-shell microparticle encapsulation for pH-responsive and targeted delivery of lactoferrin and ferrous sulfate

Microgel beads of amidated low methoxy pectin and bovine lactoferrin were formed by external gelation of a water in oil emulsion with ferrous sulfate. The stability of the lactoferrin to gastric digestion and proteolysis by pepsin was determined by gel electrophoresis. The microparticles were then dispersed in chitosan and the resulting mixture was spray dried to form a shell that is insoluble at neutral pH conditions. The iron content of the microparticles without chitosan was 34 mg g-1 and with chitosan was 27 mg g-1. The addition of chitosan lead to reduced iron release at pH 7 (30%) compared to 60% iron release without chitosan, but did not prevent iron from releasing in acidic conditions (pH 1). The core shell microparticle system shows promise as an iron fortificant in food applications.

biochemistry↗

bioRxiv2025

Neuronal APOE4 drives damaging lipid accumulation via contact-dependent neuron-oligodendrocyte-microglia interaction in Alzheimer's disease

Apolipoprotein E4 (APOE4) confers the greatest genetic risk for developing Alzheimers disease (AD). With APOE4 broadly expressed in the brain, its cell-type-specific roles in AD pathogenesis are only beginning to be defined. Here, we show that neuronal APOE4 expression drives damaging lipid accumulation in hippocampal neurons, oligodendrocytes, and microglia, with preferential buildup of peroxidized lipids in microglia in a tauopathy mouse model. Neuron-specific removal of APOE4 abolished this lipid phenotype, whereas neuron-specific expression of APOE4 was sufficient to recapitulate it, demonstrating that neuronal APOE4 is both necessary and sufficient for lipid accumulation. Strikingly, the association between lipid burden, microgliosis, and neurodegeneration was strongest in mice with neuron-specific APOE4 expression. Single-nucleus RNA sequencing revealed neuronal APOE4-vulnerable neuron populations, as well as enrichment of disease-associated microglia and oligodendrocytes, all promoting lipid pathology. Primary mouse co-culture experiments showed that neuronal APOE4 drives microglial lipid accumulation via contact-dependent mechanisms involving uptake of lipids from neurons and oligodendrocytes. These findings establish neuronal APOE4 as a key driver of lipid accumulation via neuron-oligodendrocyte-microglia interactions, providing mechanistic insight into APOE4-driven lipid pathology in AD.

neuroscience↗