Biology subjects

He, Y.

Publications and source records attributed to He, Y..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Nanobody-Functionalized AAV achieves Promoter-independent Neuronal Targeting in the CNS

Adeno-associated virus (AAV) vectors are widely used for gene delivery to the central nervous system, but natural capsid tropism is broad and cell-type restriction is typically imposed transcriptionally using promoters and enhancers that consume packaging capacity and often drive weak expression. Here, we engineer neuronal targeting directly into the AAV-DJ capsid by ablating its endogenous heparan sulfate proteoglycan (HSPG) affinity and genetically displaying a nanobody against the Group 1 metabotropic glutamate receptor mGluR5 within the VP1 subunit at a permissive capsid loop (T456), generating AAV-m5. Western blot confirmed incorporation of the nanobody-VP1 fusion into assembled capsids. In primary hippocampal neuron cultures, ablating HSPG binding abolished infectivity and nanobody display rescued transduction while restricting GFP expression almost exclusively to mGluR5-positive neurons. Heparin competition assays showed that, unlike wild-type AAV-DJ, AAV-m5 transduction was unaffected by exogenous heparin, confirming that entry occurs independently of HSPG binding. Packaged with a strong constitutive promoter (CAG), AAV-m5 achieved neuron-restricted expression comparable to or exceeding that of wild-type AAV-DJ driven by a neuron-specific promoter (hSyn) and produced negligible expression under an astrocyte-specific promoter (GFAP) despite promoter activity in glia, demonstrating that capsid-level targeting can substitute, or complement, transcriptional restriction. Following stereotactic injection into the mouse hippocampus, AAV-m5 achieved an eight-fold higher proportion of transduced neurons than wild-type AAV-DJ at equivalent titers. Delivery to Grm5-null hippocampus reduced both the intensity and the spatial extent of transduction, confirming that the broad hippocampal transduction achieved by AAV-m5 is mGluR5-dependent. Together, these results establish nanobody-functionalized AAV-DJ as a modular, single-component platform for precision CNS gene delivery that circumvents the packaging and expression trade-offs of promoter-based cell-type restriction, with potential for retargeting to additional CNS cell types and disease-relevant receptors.

synthetic biology↗

bioRxiv2026

stEDGE enables edge-guided multiscale reconstruction of hierarchical spatial domains and transition interfaces in spatial transcriptomics

Spatial transcriptomic technologies enable high-resolution mapping of tissue architecture, yet most computational methods still represent tissues as flat spatial partitions, limiting their ability to resolve spatial domain boundaries, gradual transition regions and nested hierarchies. Here we present stEDGE, an edge-guided and interpretable framework for multiscale reconstruction of spatial domain hierarchies and transition-associated states in spatial transcriptomics. Unlike conventional domain-first approaches, stEDGE first estimates local boundary structure and uses it to guide the reconstruction of fine-grained spatial domains. We further introduce a domain transition index (DTI) to quantify domain-level transition propensity and integrate DTI with inter-domain similarity and boundary strength to organize fine domains into a coherent multilevel hierarchy. A tree-guided gene attribution strategy then distinguishes shared parent-level programs from branch-specific specialization across hierarchical spatial states. Across 15 benchmarked tissue sections spanning diverse tissues, technologies and spatial resolutions, stEDGE reconstructs developmental, inflammatory, tumor and brain architectures beyond conventional domain partitioning. Applied to cell-resolved Xenium profiling of fibrotic human lung, stEDGE further reveals lesion-associated remodeling as a coherent multiscale hierarchy in which remodeling interfaces coexist with a stable macrophage-associated airway/lumen state and spatially organized TLS-like lymphoid niches. Together, stEDGE provides a unified framework for modeling how stable compartments, domain boundaries, remodeling interfaces, localized niches and multiscale gene programs are jointly organized across spatial scales.

bioinformatics↗

bioRxiv2026

Adaptive introgression in Tibetans spans focal and distributed architectures

The Denisovan-derived EPAS1 haplotype is a paradigmatic example of adaptive introgression, but whether archaic ancestry contributed beyond such large-effect loci remains unclear. We analyzed genomes from 1,039 Tibetans, Han Chinese, archaic hominins and ancient Tibetan Plateau individuals. Denisovan-derived adaptive variation was highly localized around EPAS1, whereas Neanderthal-derived variation was distributed across the genome; temporal and elevational patterns reinforced this contrast. Despite individual-level heterogeneity, Neanderthal-introgressed gene repertoires repeatedly converged on immune, metabolic and signal-transduction pathways. A Tibetan-enriched Neanderthal PPARGC1A haplotype was associated with lower fasting glucose and showed concordant support from an independent East Asian type 2 diabetes GWAS. These findings reveal that adaptive introgression can contribute to complex human adaptation through functionally convergent combinations of archaic variants, rather than only through shared large-effect haplotypes.

evolutionary biology↗

bioRxiv2026

Polygenic hierarchies of macroscale brain structural organisation

Different Magnetic Resonance Imaging-derived cortical, subcortical, and white matter measures are presumed to reflect different developmental and cellular processes, but how their genetic architecture is organised and the underlying cellular and developmental processes is unclear. We conducted genome-wide association studies of 2,326 imaging-derived phenotypes (IDPs) spanning twelve structural measures across the cortex, subcortex, ventricles, and white matter tracts in the UK Biobank (Nmax = 53,751), replicated in ABCD (Nmax = 5,119), identifying 14,176 experiment-wide significant loci and prioritizing 848 genes. We found that IDPs primarily cluster by measure into six families: brain size, cortical thickness, curvature, microstructural coherence, microstructural diffusivity, and orientation dispersion. This structure was preserved across prioritized genes, cell types, and developmental timing; brain size implicates first-trimester radial glia programs, while white matter coherence implicates adolescent astrocyte and oligodendrocyte lineages. Within individual measures, genetic effects were further organised along broad spatial gradients, with a principal gradient reflecting allometric scaling for most measures and secondary gradients showing correspondence with the sensory-association topographic axis across several measures. We identified 79 genes with spatially restricted effects along the cortex, with many aligning with these dominant gradients while a substantial subset showed additional spatial patterns. Together, these findings reveal a hierarchical organisation of the genetic architecture of macroscale human brain structure, spanning phenotype families, broad spatial gradients, and regionally restricted developmental programmes.

genomics↗

bioRxiv2026

Basolateral amygdala neurons await oscillatory recruitment into valence-relevant ensembles

Impaired valence processing is a core feature of psychiatric illnesses. The ability to rapidly evaluate situations and stimuli and determine whether they have positive or negative implications, termed valence processing, is a highly adaptive brain function that is essential for survival. Despite its importance, we still lack a complete understanding of the neural computations involved. The basolateral amygdala (BLA) plays a critical role in valence processing and valence ensembles have been identified by their anatomical location within the BLA, their projection targets, their genetic identity, or some combination of these factors. In parallel, distinct BLA oscillatory states have been shown to drive divergent valence states. Despite abundant evidence separately supporting these processes, we have failed to reconcile these disparate contributions to valence processing. Here, we demonstrate that subpopulations of BLA principal neurons are recruited in response to specific frequencies of optogenetically-driven oscillations. We provide evidence showing ensemble recruitment is a product of individual neuronal sensitivities to input frequencies that can be driven by interneuron-driven oscillatory states. We also demonstrate that oscillations driven by interneuron stimulations can activate projection-specific populations and reactivate behaviorally-relevant ensembles. Together, these findings reveal a novel neural computational mechanism governing valence processing involving the ability of interneuron-driven oscillatory states to selectively recruit populations of frequency-, projection-, and valence-specific BLA neurons to evoke distinct behavioral outcomes.

neuroscience↗

bioRxiv2026

Independent tuning of outer membrane fluidity and mechanics in Gram-negative bacteria

The outer membrane (OM) of Gram-negative bacteria forms a protective barrier that combines selective permeability with mechanical load-bearing capacity, properties linked to its asymmetric bilayer structure with lipopolysaccharides (LPS) in the outer leaflet and phospholipids (PLs) in the inner leaflet. Unlike most PL bilayers, the OM typically exhibits limited lateral diffusion, resulting in a gel-like surface with spatially organized proteins and LPS. The molecular basis of this physical state and its relationship with envelope mechanics remain unclear. Here, we show that increasing PL levels in the outer leaflet or truncating LPS core oligosaccharides increases OM fluidity by disrupting LPS packing. In contrast, reduced LPS abundance or disruption of divalent cation-mediated crosslinking primarily reduces OM stiffness with little effect on fluidity. Thus, OM fluidity and mechanical stiffness can be tuned independently through distinct molecular interactions. This separation of physical control mechanisms provides a framework for understanding how Gram-negative bacteria modulate OM properties during environmental adaptation and envelope homeostasis.

microbiology↗

bioRxiv2026

MorphCell learns reconstructable shape representations with explicit scale control for 3D cell morphology

Three-dimensional (3D) cell morphology provides a measurable phenotype of cellular state and function, but representing it across biological systems and imaging modalities remains difficult. Existing approaches do not jointly provide transferable representations, complete surface reconstruction, geometric interpretation and explicit control of physical scale. Here we introduce MorphCell, a self-supervised framework that uses cell-surface point clouds to learn shape-driven representations independently of physical scale. MorphCell combines cross-view reconstruction pretraining with spherical self-reconstruction. The former captures geometric relationships between surface regions, whereas the latter recovers complete 3D morphology from individual representations. Pretrained on non-biological object surfaces, MorphCell transfers to cellular datasets without biological task-specific training and outperforms existing point-cloud representations in morphological classification. The learned representations capture both global contour and local surface variation, enabling geometric interpretation through reconstruction, biophysical descriptors and saliency analysis. By retaining physical scale as a separate variable for controlled fusion, MorphCell further reveals that shape and scale contribute differently across biological distinctions. This framework provides a general approach for representing, reconstructing and interpreting 3D cellular morphology across imaging modalities and biological contexts.

cell biology↗

bioRxiv2026

Peptide inhibitors recognize prefusion viral fusion proteins with heterogeneous stoichiometry and rapid kinetics

Peptide fusion inhibitors, an important class of antivirals, block viral entry by targeting fusion proteins required for membrane fusion. However, their interactions with intact trimeric fusion proteins remain elusive; direct observation of binding on virions or native-like trimers has been lacking. Here, we developed a single-molecule imaging platform to visualize peptide binding in real time. LP-98 bound HIV-1 Envelope (Env) trimers on virions and, unexpectedly, prefusion-stabilized soluble Env trimers, with higher affinity for virion-associated Env and, among soluble trimers, a mutant Env. RSV fusion-inhibiting T-118 and 4ca similarly engaged prefusion-stabilized fusion (F) trimers with rapid kinetics and high-nanomolar affinities. Binding to prefusion Env or F demonstrates that peptide inhibitors can act earlier than the canonical prehairpin-intermediate model suggests. Individual binding events revealed heterogeneous peptide-to-trimer stoichiometries, with single-peptide occupancy predominating, while stepwise and simultaneous events revealed multiple routes to higher occupancy. These findings expand the canonical model of peptide fusion inhibition and provide previously inaccessible mechanistic insights into how antiviral peptide fusion inhibitors act.

microbiology↗

bioRxiv2026

LucaCell: a sequence-centric foundation model for cross-species single-cell analysis

Single-cell foundation models have transformed transcriptomic analysis, yet most rely on fixed gene identifiers that limit transfer across species and data types. Here we present LucaCell, a sequence-centric foundation model that represents genes through pre-trained mRNA sequence embeddings rather than static gene annotations. Gene expression is discretized into bins and modeled with a Transformer encoder, enabling sequence-informed cell representation without a fixed gene-ID vocabulary. Pre-training on 85 million human and mouse single cells, LucaCell is evaluated on human, mouse and lemur gene expression profiles, human chromatin accessibility data, unaligned reads from more than 50 prokaryotic taxa, and five influenza A virus genomes. LucaCell enables manual-mapping-free cross-species cell type annotation and an alignment-free microbial embedding framework that simultaneously distinguishes bacterial species identity and intra-species physiological states. It also improves gene expression reconstruction by incorporating donor-specific exonic SNP information into mRNA sequence embeddings, and predicts cellular viral load across influenza A virus strains while highlighting infection-like transcriptional states in mock-infected cells. These results show that sequence-informed gene representation can improve the generalization of single-cell foundation models across species, data types, and predictive tasks.

bioinformatics↗

bioRxiv2026

Shank3 mutation disrupts affective touch encoding in the dorsal medial prefrontal cortex of Beagle dogs

Individuals with autism spectrum disorder (ASD) often show aversion to affective touch (AT). However, the neural mechanism of this abnormality in cortices remains poorly understood probably due to the lack of effective animal models. Here, we used a canine model to address this issue by leveraging the intimate dog-human interactions. In a newly-designed heterospecific AT paradigm, we found that dogs carrying mutations in Shank3, a high-risk gene for ASD, avoided human AT. In vivo single-unit recording analysis showed that AT-evoked oscillations in the dorsal medial prefrontal cortex (dmPFC) were significantly altered in Shank3 mutant dogs. Shank3 mutation also reduced the number of neurons encoding AT in the dmPFC. Importantly, the aversion to AT and altered neural processing in Shank3 mutants were largely rescued by a GABAA receptor antagonist pentylenetetrazole. Together, these findings provide neural mechanisms for abnormal AT processing in ASD and suggest potential biomarkers for therapeutic strategies.

neuroscience↗

bioRxiv2026

Ancient tandem duplication of CYCLOIDEA is associated with the evolution of capitulum development in Asteraceae

Asteraceae is one of the largest and most diverse families of flowering plants. Much of their evolutionary success is attributed to their unique inflorescence structure-the capitulum. Despite their profound adaptive and taxonomic significance, the evolutionary genetic mechanisms underlying Asteraceae capitulum diversification remains poorly understood. We integrated comparative genomic analyses of 35 Asteraceae genomes with developmental transcriptome profiling of ray and disc florets. Our results uncovered a deeply conserved CYC2e-CYC2c-CYC2d-CYC2g-CYC2b tandem gene cluster that is prevalent across the Asteraceae family. We demonstrated that this tandem cluster arose during the early evolutionary diversification of Asteraceae. Subsequent lineage-specific gene retention and loss events have reshaped the composition of this cluster across different Asteraceae lineages. Notably, key members of this cluster, particularly CYC2c, CYC2d, and CYC2g, are preferentially retained in lineages with ray florets, which is consistent with their roles in regulating the ray floret development. Collectively, our findings establish a mechanistic link between the evolutionary divergence, spatiotemporal expression differentiation of the CYC2 tandem cluster as a key genetic driver underlying the morphological diversification and evolutionary success of Asteraceae.

evolutionary biology↗

bioRxiv2026

Dissecting the TMEM132A-EGFR Dependency to Unlock Translational Therapeutic Opportunities for Pan-Solid Tumor

Solid tumors remain refractory to conventional treatments, yet cell surface proteins, by virtue of their extracellular accessibility and critical roles in tumor signaling, represent an attractive class of targets for precision-targeted therapy. Here, we report that TMEM132A is an essential and previously unrecognized pan-cancer target. TMEM132A interacts directly with EGFR and stabilizes its expression, thereby tethering EGFR at the plasma membrane and sustaining constitutive activation of lipid synthesis. Mechanistically, the TMEM132A-EGFR axis promotes lipogenesis by facilitating SREBP nuclear translocation, which in turn upregulates ACLY and ACSS2 expression to drive acetyl-CoA production and downstream lipid biosynthesis, ultimately disrupting lipid droplet homeostasis. To therapeutically target this axis, we developed a nanobody, LFNanoT132A#3, which effectively blocks the TMEM132A-EGFR interaction, abrogates downstream signaling activation, and potently inhibits proliferation across multiple solid tumor types. Notably, LFNanoT132A also exerts robust antitumor activity against H1975 xenografts, a model resistant to first- and second- generation EGFR inhibitors, underscoring its potential to overcome conventional drug resistance. Our findings establish TMEM132A#3 as a critical node in membrane-tethered oncogenic signaling and metabolic rewiring, and position LFNanoT132A#3 as a promising therapeutic candidate for precision cancer therapy.

cancer biology↗

bioRxiv2026

Normative modelling of cortical networks identifies subtypes of type 2 diabetes associated with distinct clinical and transcriptomic profiles

Type 2 diabetes (T2D) is characterized by substantial clinical heterogeneity, yet its neurobiological substrates remain unclear. Here, we leverage normative modelling of cortical morphometric networks to quantify individual-level brain deviations using structural MRI data from 3,723 participants (1,941 T2D patients and 1,782 healthy controls) across three independent cohorts. Data-driven clustering reveals two robust T2D biotypes characterized by widespread positive (biotype 1) and negative (biotype 2) brain deviations. Despite comparable overall metabolic burdens, these biotypes feature distinct brain-metabolic coupling patterns: biotype 1 is primarily associated with lipid metabolism, whereas biotype 2 reflects a multifactorial metabolic burden spanning glycaemic control, adiposity, lipid, vascular risks, and disease duration. These divergent brain vulnerability profiles have distinct cognitive consequences; notably, biotype 2 shows poorer performance in complex cognitive tasks, aligning with negatively deviated connectivity gradients along the sensorimotor-to-association axis. Spatial transcriptomic analyses further link biotype 2 deviations to gene expression patterns enriched in insulin signalling, mitochondrial functions, tight junctions, and neurodegenerative disease pathways, alongside specific involvement of inhibitory neurons and oligodendrocyte lineage cells. Our findings provide a neurobiological understanding of T2D heterogeneity and establish a data-driven framework for characterizing personalized brain vulnerability, with implications for advancing precision diabetes medicine.

neuroscience↗

bioRxiv2026

A multi-tissue epigenomic atlas links the sheep non-coding genome to domestication and complex traits

Non-coding regulatory variation drives complex traits, domestication, and evolutionary adaptation, yet the sheep genome lacks high-resolution functional annotation. Here we present SheepEpimap, a multi-tissue regulatory atlas harmonizing 516 CUT&Tag histone modifications, ATAC-seq, and RNA-seq datasets across 43 adult tissues in sheep. We annotated 2.93 million cis-regulatory elements, yielding 557,441 enhancer-gene pairs and 145,407 variants with allele-specific effects. By training a sequence-to-function deep-learning model, we decoded the base-pair syntax of chromatin accessibility, annotated transcription factor motif instances genome-wide, and constructed 12,210 tissue-specific gene regulatory networks (GRNs). Integrating this resource with multi-tissue expression quantitative trait loci, selection sweeps, and genome-wide association studies prioritized non-coding variants driving domestication and complex traits. Finally, cross-species analysis revealed that sequence-conserved, tissue-matched enhancers were significantly enriched in the heritability of complex traits and diseases in humans. In summary, SheepEpimap (https://genome.ucsc.edu/s/mengzhu/SheepEpimap) provides an open-access foundational ecosystem for sheep functional genomics, precision breeding, and comparative biology.

genetics↗

bioRxiv2026

Chromatin-Assisted Targeting Enables Precise DNA Methylation Editing in Plants

Precise installation of DNA methylation at selected loci offers a powerful strategy for regulating gene expression without altering DNA sequence, but existing plant epigenome editors are constrained by limited efficiency, locus dependence, and genome-wide off-target methylation. Here, we developed SunTag-MQ1v variants incorporating TRBIP1, which promotes removal of the antagonistic H3K4me3 mark, and CHLAMY, an oligomerizing alpha crystalline domain protein from Chlamydomonas reinhardtii. TRBIP1 enhanced methylation and silencing at the Arabidopsis FWA promoter but caused widespread off-target methylation and severe developmental defects. Adding CHLAMY produced SunTag-CHLAMY-TRBIP1-MQ1v (designated as SunTag-NOVA), which successfully overcame the lethality and widespread off-target effects associated with direct TRBIP1-MQ1v fusions. We demonstrate that CHLAMY drives higher-order oligomerization of the editing complex, which enhances target specificity and mitigates off-target accumulation. SunTag-NOVA robustly installed DNA methylation and repressed transcription at the endogenous FWA, FT and TMM genes with minimal genome-wide off-target consequences. These results show that combining local chromatin modification with controlled effector assembly can improve targeted DNA methylation, and establish SunTag-NOVA as a specific epigenome-editing platform for plants.

plant biology↗

bioRxiv2026

J-domain proteins bridge the PKL and ATRX complex to transcription factors to fine-tune gene expression via H3.3 deposition

Epigenetic modifications, including histone modifications and DNA methylation, direct gene expression programs during the growth and development of eukaryotic organisms. In Arabidopsis thaliana, the chromatin remodeler PICKLE (PKL), a homolog of animal CHD3, plays a critical role during these processes. Previous studies of PKL have painted a complex picture of its function, including both activating and repressive roles, however, how PKL can control both transcriptional silencing and activation is unknown. We have identified a group of J-domain-containing proteins (DNAJs), usually known for their roles in protein folding, that guide PKL recruitment to various gene promoters by bridging PKL to transcription factors. Mutation of PKL's DNAJ-interacting domain disrupts PKL association with chromatin. Once recruited to transcription factor-bound sites, PKL coordinates with the histone chaperone ATRX to deposit HISTONE3.3 (H3.3) at targeted loci, which also negatively affects the accumulation of H3 lysine 27 trimethylation (H3K27me3) at promoters. We found that transcriptional outcome of PKL binding depends not only on the changes in H3.3 occupancy but also on the pre-existing chromatin context at PKL-targeted sites. Our findings outline a new mechanism for CHD3 chromatin remodeler recruitment and function.

plant biology↗

bioRxiv2026

LNP-CpG: deploy the self-adjuvant role of mRNA vaccines

With the rapid advancement of mRNA vaccines, lipid nanoparticles (LNPs) have emerged as pivotal carriers and adjuvants for non-mRNA vaccine modalities, driven by their superior nucleic acid delivery efficiency and intrinsic self-adjuvanting properties. In this study, we systematically evaluated various formulation strategies combining LNPs and the CpG adjuvant within a varicella-zoster virus glycoprotein E (VZV-gE) subunit vaccine framework. We demonstrated that uniform nanoparticles formed by LNP-encapsulated CpG (LNP-CpG), when simply admixed with the gE antigen, elicited superior immunogenicity compared to alternative encapsulation configurations. Intramuscular administration of a two-dose (LNP-CpG)+gE regimen significantly augmented both humoral and cellular immune responses in mice, markedly outperforming the commercial vaccine Shingrix (administered at a 1/10 human dose). Crucially, the identical regimen induced robust, comparable immune profiles to a full human dose of Shingrix in rhesus macaques. Furthermore, LNP-CpG displayed broad-spectrum utility across diverse vaccine platforms, demonstrating efficacy against both respiratory (RSV) and neurotropic (HSV) pathogens, compatibility with multiple modalities, including subunit (VZV-gE, RSV-Pre-F), live-attenuated (LA-HSV), and inactivated (i-HSV) vaccines; and versatile implementation in a combined VZV+RSV formulation. Collectively, our findings position LNP-CpG as a versatile, safe, highly efficacious adjuvant platform with substantial clinical translational potential, offering a compelling paradigm for next-generation vaccine development.

immunology↗

bioRxiv2026

PC1-guided transcriptomic stratification reveals hepatic transcriptional heterogeneity and defines a myeloid-associated 20-gene signature

Hepatic lipid-associated inflammation contributes to metabolic liver disease and cardiometabolic complications. Treatment-based transcriptomic comparisons can obscure inter-individual heterogeneity when animals exposed to the same experimental condition show divergent molecular responses. In the public hyperlipidemic liver transcriptomic dataset GSE338111, conventional sex-adjusted comparison of Amlexanox versus DMSO identified only 21 differentially expressed genes at FDR < 0.05 and |log2FC| [≥] 1, and submission of this DEG set to Metascape yielded no GO Biological Process enrichment result. We therefore applied treatment-independent, PC1-guided transcriptomic stratification based on the 500 most variable genes. This analysis resolved three PC1-derived groups and enabled derivation of a myeloid-associated 20-gene signature from the G2-versus-G1 contrast. Independent bulk-transcriptomic cohorts supported responsiveness of the signature to dietary challenge and pharmacologic intervention, while single-cell analysis localized its expression predominantly to hepatic myeloid populations. Human cis-eQTL Mendelian randomization and colocalization further identified TAGLN2 as the signature gene with the strongest genetic support for coronary heart disease. Together, these findings show that PC1-guided stratification can improve resolution of heterogeneous hepatic transcriptional responses and provide a cross-cohort molecular signature for subsequent mechanistic and translational evaluation.

genomics↗