Biology subjects

Qiu, Y.

Publications and source records attributed to Qiu, Y..

At least 19 recordsLinked to original sources

bioRxiv2026

An implantable sensor network for large-scale cellular force mapping in living embryos

Mechanical forces generated by cells are fundamental regulators of embryonic development, yet how locally generated forces are integrated across tissues to drive large-scale morphogenesis remains poorly understood. Addressing this question requires direct quantitative mapping of intercellular forces across tissue scale with cellular resolution while preserving native tissue architectures and dynamics, a capability not yet achieved. Here, we introduce FORCENET, an implantable force-sensing network that enables quantitative tissue-scale force mapping at cellular resolution within living embryos. FORCENET consists of a microfabricated network of ultrathin elastic sensors whose three-dimensional deformations are tracked over time and converted into intercellular force maps through physics-based reconstruction. FORCENET covers hundreds of cells while occupying a total volume 6- to 20-fold smaller than that of a single cell. Anatomical measurements, three-dimensional fluorescent imaging, and cell density and speed tracking confirmed that FORCENET seamlessly integrates within developing embryos without perturbing cell motion and proliferation, tissue architecture, and embryonic development. Applied to zebrafish gastrulation, FORCENET revealed that intercellular forces are dynamically coordinated across supracellular length scales of ~30-210 m. Inhibition of fibroblast growth factor signaling accelerated force accumulation and shortened the force-coordination length scales despite only modest changes in cell density and kinematics, demonstrating that FORCENET uncovers information not readily inferred from cell tracking alone. FORCENET establishes a scalable platform for in vivo force mapping and reveals that cell-generated forces are coordinated into supracellular mechanical patterns that are regulated by developmental signaling.

developmental biology↗

bioRxiv2026

Pyruvate partitioning defines an immunosuppressive metabolic niche in colorectal cancer

Purpose. Colorectal cancer (CRC) reprograms glucose metabolism, diverting pyruvate from mitochondrial oxidation toward lactate export. How this partitioning decision is organized across cell types and tissue space, and how it relates to immune programmes, remains unresolved. Methods. We defined a Pyruvate Partitioning Index (PPI) as the difference between an oxidative arm (MPC1, MPC2, PDHA1, PDHB, DLAT, DLD, PDHX) and an export arm (LDHA, LDHB, SLC16A1, SLC16A3, SLC16A7), and computed it across TCGA COADREAD (n = 592), GSE39582 (n = 579), two single-cell atlases (370,115 and 63,689 cells), 13 Visium sections and an exploratory urothelial immunotherapy cohort (IMvigor210, n = 298). Results. PPI was lowest in microsatellite-unstable (MSI) tumours (Mann-Whitney p = 3.8 x 10^-9) and inversely associated with overall survival (log-rank p = 1.2 x 10^-4). Epithelial cells were the most oxidative compartment (median +0.058) and myeloid cells the most export-prone (-0.171; Kruskal p [~] 0), reproduced independently; MMRd epithelium was intrinsically export-shifted (-0.012 vs +0.076 vs +0.192 for MMRd, MMRp and normal). Spatially, PPI was non-random (Moran's I significant in 12/13 sections), with low-PPI spots enriched for SPP1+ macrophages, myofibroblasts and plasma cells, but not CD8+ T-cell factors. Low-PPI tumours showed coordinated increases in immune-checkpoint, myeloid and Treg programmes (checkpoint rho = -0.262), and network perturbation identified LDHA as the hub. Conclusions. Pyruvate partitioning is cellularly and spatially organized in CRC and defines a myeloid-stromal immunosuppressive niche. Because MSI tumours (the best CRC immunotherapy responders) had the lowest PPI, the PPI-response relationship appears cancer-type specific and requires validation in CRC cohorts.

cancer biology↗

bioRxiv2026

A hippocampal digital Twin reveals latent structure in freely flying bats

Concurrent advances in artificial intelligence (AI), large-scale neuronal recording, and behavioral tracking have enabled increasingly powerful predictive models of brain-behavior relationships. Yet predictive accuracy does not automatically yield interpretable principles of neural organization, particularly during natural behavior, where the relevant variables computed are often unknown in advance. Here, we developed a functional digital twin of the hippocampus, trained jointly on large-scale neural activity and self-directed three-dimensional flight in freely flying bats. A multimodal, multitask transformer accurately predicted both neural activity and behavior, outperformed standard approaches, and generalized across recording sessions. Interrogating the model's representations suggested a form of hippocampal generalization across self-selected trajectories that was not apparent in physical coordinates, but was plainly visible in the model's low-dimensional latent space. We confirmed this organization directly in the recorded neural activity: neurons fired at corresponding stages of spatially distinct paths connecting the same origin and destination, preserving their relative firing order even as their firing fields shifted with the path. Analysis of neuron-specific readouts further identified functional relationships among neurons that generalized from flight to waking rest and sleep, brain states never used for training, and differed systematically between the hippocampal subregions CA1 and CA3. Together, these results show how AI-based functional digital twins can complement conventional analysis by generating testable hypotheses about neural organization during natural behavior.

neuroscience↗

bioRxiv2026

Angiopoietin-like protein 7 (ANGPTL7)-mediated effects on resident immune cells contribute to neurodegeneration in glaucomatous optic nerve head

Glaucoma is an optic neuropathy characterized by progressive retinal degeneration. Population genetic analyses describe an association of variants in angiopoietin-like protein 7 (ANGPTL7) with lower intraocular pressure (IOP) and decreased glaucoma susceptibility. In addition to its reported role in the trabecular meshwork (TM), we demonstrate that ANGPTL7 is also expressed within disease-relevant cell types of the human posterior eye, specifically prelaminar optic nerve head astrocytes (ONHA). Contrasting with previously published findings, we observe no difference in IOP between Angptl7-/- mice and wild-type littermates. Despite absence of an IOP phenotype, loss of ANGPTL7 protects from IOPinduced retinal ganglion cell (RGC) damage in a rodent glaucoma neurodegeneration model. ANGPTL7 may signal through LAIR1-positive immune cells, potentially contributing to pro-inflammatory signaling and phenotypic modulation of resident immune cells, with evidence suggesting that oligomerization of ANGPTL7 is necessary for its activity. Comprehensively, our data highlight an unappreciated role of ANGPTL7 in modulating neuroinflammation in the posterior eye, contributing to glaucoma progression.

neuroscience↗

bioRxiv2026

The Genome In A Bottle HG002 assembly-based variant benchmark set enables comprehensive benchmarking of small and structural variants.

High-accuracy, high-resolution benchmark data are fundamental to improving the accuracy and generalizability of sequencing technologies and associated algorithms. Most existing benchmarks for DNA sequencing rely on mapping to a single linear reference, omitting inaccessible and highly repetitive complex genomic regions. Here, we present the Genome in a Bottle (GIAB) Consortium's HG002 v5.0q benchmark set, a more comprehensive variant benchmark derived from a fully phased, highly curated, and accurate diploid assembly of HG002. Our approach leverages recent advances in long-read sequencing and assembly to provide confident small- and structural-variant calls across previously inaccessible regions, including segmental duplications, homopolymers, tandem repeats, and complex immune loci. The v5.0 benchmark significantly expands the callable genome relative to v4.2.1, adding x200 Mbp of sequence and increasing variant detection by 18 % for small variants and 3-fold for structural variants compared to previous benchmarks. The benchmark regions include more variants in repetitive regions, including 1.2 x segmental duplications, 1.8 x tandem repeats, and 2.0 x homopolymers, compared to v4.2.1. Separate and combined small- and structural-variant benchmarks are available for three versions of the human reference genome (GRCh37, GRCh38, and CHM13). We validate the reliability of this benchmark set by comparing multiple sequencing technologies and variant calling pipelines and curating differences. The v5.0q benchmark provides a critical resource for the development and validation of next-generation sequencing technologies and analysis methods.

genomics↗

bioRxiv2026

Topology, Energy Landscapes and Folding Kinetics of RNA Hairpins

Many RNAs occupy multiple inter-converting structures in order to perform key biological functions. Characterizing RNA conformational ensembles is therefore critical to illuminating the mechanisms by which RNAs fold, unfold, and undergo precise structural rearrangements in response to cellular signals. However, resolving the equilibrium populations and folding kinetics of RNA ensembles is nontrivial due to the intrinsic ruggedness of RNA conformational landscapes and wide range of timescales spanned by RNA structural dynamics. To address these challenges, we present a de novo hierarchical multiscale computational framework that integrates diverse secondary and tertiary structure generation, adaptive unbiased molecular dynamics, a generative AI model termed latent thermodynamic flows (LaTF), and Markov state modeling to efficiently map global RNA folding landscapes and associated dynamics. Applied to the GCAA tetraloop, HIV-TAR stem-loop, and microROSE RNA thermometer, this framework yields ~ 1.3 ms of cumulative sampling and resolves temperature-dependent conformational landscapes comprising numerous native-like, misfolded, partially folded, and unfolded metastable states. Across all three RNA hairpins, temperature substantially reshapes landscape ruggedness, metastable state populations, and folding mechanisms. Our predicted ensembles show overall agreement with key static and dynamic biophysical observables, including Nuclear Magnetic Resonance (NMR)-resolved structures, Nuclear Overhauser Effect (NOE)-derived distance restraints, and residual dipolar couplings (RDCs). Together, these results establish a general physics-informed AI approach for accurately modeling RNA conformational heterogeneity, equilibrium thermodynamics, and long-timescale kinetics.

biophysics↗

bioRxiv2026

SirenScan reveals the conserved presence of siren RNAs and their evolutionary diversification across angiosperms

O_LISiren RNAs are exceptionally abundant reproductive small interfering RNAs (siRNAs), yet whether they represent a conserved feature of angiosperm reproduction has remained unclear because siren loci lack a standardized definition and identification strategy. C_LIO_LIWe developed SirenScan, a computational framework that integrates cumulation-based and density-based analyses to identify siren loci from small RNA sequencing data. Using SirenScan, we systematically compared ovule and vegetative tissues across representative angiosperm lineages, including the early-diverging angiosperm Nymphaea colorata. C_LIO_LIWe demonstrate that the presence of siren RNAs is a conserved feature of angiosperm ovules, although the degree of expression dominance varies substantially among species. Siren loci are consistently enriched within transposable elements (TEs), while the associated TE superfamilies and cis-regulatory motifs exhibit lineage-specific diversification. In Brassicaceae, siren loci share conserved CLASSY3-associated sequence motifs, whereas other angiosperm lineages display distinct motif compositions, suggesting evolutionary diversification of Polymerase IV targeting mechanisms. C_LIO_LIOur findings establish siren RNAs as a conserved component of the angiosperm reproductive small RNA landscape and support a model in which conserved RNA-directed DNA methylation machinery is coupled with lineage-specific regulatory mechanisms and transposon landscapes to shape siren locus evolution. SirenScan provides a robust and standardized framework for comparative studies of siren RNA biology and reproductive epigenomics across plant species. C_LI

plant biology↗

bioRxiv2026

Paralog diversification masks conserved diel regulatory programs during cold acclimation in Brassica rapa

Plant stress responses occur within daily cycles of physiology, metabolism, and growth, making timing a critical dimension of acclimation. In Arabidopsis, circadian and diel regulation influence responses to abiotic stress, including cold, but how this temporal regulation is conserved, diversified, or expanded in crop genomes remains unclear. This question is especially challenging in Brassica rapa, which underwent a genome triplication after diverging from Arabidopsis, resulting in multiple retained paralogs that can be grouped by Arabidopsis orthology and ancient homeologous relationships. Here, we generated a B. rapa pangenome spanning six morphotypes and used it to profile diel (24 h) cold acclimation responses across diverse accessions differing in freeze tolerances. Cold altered peak expression time for thousands of genes, which we grouped into distinct phase-change groups. Circadian leaf movement assays revealed accession-specific differences in clock period and temperature compensation under cold, suggesting that altered clock behavior may contribute in part to the diel transcriptome retiming. At the individual gene level, inferred gene regulatory networks (GRNs) were highly accession-specific and lost shared connectivity under cold stress. However, grouping these paralogs by their Arabidopsis orthologs revealed a highly conserved regulatory architecture that was otherwise masked by paralog diversification. Integrating these networks with functional pathways identified key candidate regulators of retimed processes, including modules linked to nighttime phosphorylation and daytime photosynthesis. Finally, analyzing conserved noncoding sequences across the pangenome prioritized specific regulatory targets within cold-retimed groups. Together, these results demonstrate that cold acclimation in B. rapa is shaped by a combination of diel retiming, paralog-specific regulation, and deeply conserved programs.

plant biology↗

bioRxiv2026

Klp61f and ncd function as an accelerator and brake to regulate myonuclear spacing

One of the first genes identified to regulate the spacing of nuclei in the multinucleated myofiber was Kinesin-1. However, the mechanism by which Kinesin-1 or other kinesins regulate myonuclear spacing is not known. Critically, the myofiber lacks centrosomes, and the many myonuclei act as the primary microtubule organizing centers of the cell. Because of this unique re-structuring, we hypothesized that the kinesins that drive centrosomes apart during mitotic spindle elongation may play a similar role in spacing myonuclei. We found that the bipolar Kinesin-5 (Klp61f) and the (-)-end directed Kinesin-14 (ncd) were both necessary for myonuclear spacing at different times, with both being necessary during embryogenesis, but only ncd being necessary in the fully differentiated myofiber. To investigate the shared mechanisms during embryogenesis, we used live-imaging and found that, similar to the mitotic spindle, Klp61f acts as an accelerator for myonuclear movement, whereas ncd acts as a brake contrary to this movement. To investigate these mechanisms and test the hypothesis that this is dependent on microtubule-sliding, we used super-resolution microscopy to visualize and quantify the microtubule network in animals with disrupted Klp61f or ncd. We found that in both cases, there was a decrease in the amount of microtubule overlap between neighboring myonuclei. Furthermore, we found that disrupting ncd led to severe changes in microtubule network organization, supporting our hypotheses that microtubule-sliding is necessary to space myonuclei, and that ncd likely functions through a unique mechanism in the differentiated myofiber to maintain myonuclear spacing. Together, our data supports a model where myonuclear spacing is regulated by a counteracting force generated by different kinesins during embryonic development. Furthermore, one kinesin, ncd, is repurposed in the differentiated myofiber to dynamically crosslink microtubules, a function necessary to anchor nuclei in place. Thus, kinesin motors regulate myonuclear spacing across developmental time by leveraging opposing forces through diverse mechanisms.

cell biology↗

bioRxiv2026

Psi RNA-specific Binding Promotes HIV-1 Gag Conformational Change Critical for Immature Viral Particle Assembly

The immature HIV-1 virion is assembled by the Gag polyprotein using inositol hexakisphosphate (IP6) as an essential assembly co-factor. Gag binds the genomic RNA Psi packaging signal via the nucleocapsid (NC) domain and associates with the plasma membrane via the matrix (MA) domain. Previous studies revealed that Gag exists in both compact (C) and extended (E) conformational states in solution. Only E-Gag formed virus-like particles with the correct size and IP6 shifted the equilibrium of DNA-bound Gag to the E state. The influence of specific RNA elements on this conformational change is unknown. In this work, a dual dye-labeled Gag was prepared for probing the effect of RNA binding on Gag conformation using Forster resonance energy transfer (FRET). In low salt and in the absence of other factors, Gag was primarily in the C state. Psi RNA binding induced a more significant FRET decrease than binding to non-Psi RNAs, consistent with a shift to E-Gag. IP6 alone also promoted the E-Gag state in the absence and presence of RNA. Atomistic molecular dynamics simulations are consistent with and provide detail into the role of NC-Psi RNA binding in the conformational switch of C-Gag to assembly-competent E-Gag. Simulations also showed that this switch is driven by capsid (CA) linker domain orientational flexibility and MA-CA unbinding dynamics. Thus, the highly flexible multi-domain Gag polyprotein leverages both viral and host cell factors to sample and stabilize distinct conformations, thereby orchestrating the viral assembly process.

biophysics↗

bioRxiv2026

Multidimensional atlas of RNA-regulated proteins revealed by RNA-dependent thermal proteome profiling

RNA and proteins interact pervasively in cellular processes, yet the functional relevance of most RNA-binding proteins remains unknown. To address this, we developed RNA-dependent thermal proteome profiling (RTPP), a method that identifies RNA-regulated proteins (RRPs) by detecting changes in a proteins structural stability upon RNA binding, without requiring crosslinking or enrichment. Applying RTPP in HEK293T cells revealed 1,664 RRPs, including 257 previously undetected RNA-binding "orphans". One such orphan, SGK3, binds the lncRNA CASC15, facilitating its PtdIns(3)P binding, endosomal recruitment and kinase activity. We further generated a tissue-specific RRP atlas, identifying interactions unique to particular organs, including hippocampus-specific RRPs dysregulated in Alzheimers disease. Integrating RTPP with proximity labeling resolved RNA-binding heterogeneities across subcellular compartments. Live-cell RNase treatment also uncovered proteins associated with cell surface RNA, revealing that RO60 form nanoscale clusters with glycoRNA. RTPP provides a powerful approach to decipher functional RNA-protein interactions across multiple biological dimensions.

molecular biology↗

bioRxiv2026

Peri-Locus Coeruleus Controls Endothelial Cell Heterogeneity in Enriched Environments via Region-Specific Norepinephrine Signaling

The brain acts as a central integrator that enables organisms to interpret environmental stimuli and coordinate adaptive responses across the body. While enriched environments are known to enhance neural plasticity and cognitive function, their impact on peripheral organ systems remains less understood. Here, we show that enriched environmental conditions activate a peri-locus coeruleus (peri-LC) neuronal ensemble that preserves CD31hiEMCNhi type H endothelium, a specialized bone-associated endothelial subtype, against age-associated decline, thereby enhancing femoral bone density. Chemogenetic activation and ablation experiments further revealed that this peri-LC ensemble is functionally distinct from other sympathetic regulatory brain regions in its control of bone endothelial heterogeneity and skeletal mass. Three-dimensional bone clearing and spatial analyses showed that CD31hiEMCNhi endothelium is closely associated with sympathetic nerve terminals. The peri-LC mediates this process through sympathetic signaling and {beta}2-adrenergic receptors on bone vascular endothelial cells. In vivo imaging further demonstrated that norepinephrine release is spatially restricted, with sprouting endothelial cells near the growth plate exhibiting the highest sensitivity. Together, these findings reveal a refined brain-periphery regulatory logic in which distinct sympathetic brain circuits engage spatially restricted norepinephrine signaling to coordinate organ-specific vascular and skeletal adaptations.

neuroscience↗

bioRxiv2026

TMPRSS2 regulates ACE2 trafficking and shedding

Angiotensin-converting enzyme 2 (ACE2) functions as the receptor for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus utilizes the cellular endocytic machinery for entry by binding to defined residues on ACE2 with its spike protein (S protein), whose activation requires a priming process by another transmembrane protease, the transmembrane protease serine 2 (TMPRSS2). In addition, ACE2 itself is cleaved by TMPRSS2, which has been shown to be critical for viral pathology. This study aimed to elucidate the relationship between ACE2 and TMPRSS2 and the mechanism of ACE2 processing under normal cellular conditions. It is shown that interaction of ACE2 with TMPRSS2 results in altered processing, modification and cellular localization. Glycosylation of ACE2 has a major impact on TMPRSS2 interaction, trafficking and shedding of the enzyme. Studies in newly generated TMPRSS2-knockout rats reveal increased ACE2 levels in tissues supporting an important role of TMPRSS2 in ACE2 shedding also in vivo.

biochemistry↗

bioRxiv2026

Citrate Compartmentalization Controls Calcium-Dependent Cytokine Production in Effector T Cells

Cytokine production is a core function of effector T cells, yet the mechanisms that regulate cytokine output during an immune response remain incompletely understood. Here, we identify citrate compartmentalization as a cellular mechanism by which CD8+ T cells couple cytokine production to glucose availability. Under glucose-replete conditions, citrate transport from the mitochondria to the cytosol by the citrate carrier SLC25A1 suppresses calcium-dependent transcription factor activity in effector T cells. Either reducing glucose availability or blocking the exchange of citrate across the mitochondrial membrane raises free cytosolic calcium, thereby driving nuclear localization of Nuclear Factor of Activated T cells (NFAT)-family transcription factors and sustaining cytokine production. As a calcium-chelating metabolite, we show that citrate buffers free cytosolic calcium, thereby linking calcium-dependent signaling to mitochondrial fuel oxidation. We also identify signatures of this regulatory mechanism across hundreds of human cancer cell lines, where there are negative associations between citrate-derived metabolites and calcium-dependent transcriptional programs, and within the spatial organization of human tumors. These findings identify cytosolic citrate as a broadly conserved metabolic rheostat coupling glucose availability to calcium signaling. By adding calcium signaling to the known functions regulated by SLC25A1, our work reveals a mechanism by which mitochondria adaptively tune cytokine expression and other calcium-dependent programs in response to local metabolic conditions, such as nutrients that are available within a tissue or tumor.

immunology↗

bioRxiv2026

M6A-modified circEZH2 Protects Endothelial Cells from Senescence and Suppresses Atherosclerosis by Stabilizing ZNF326

BACKGROUNDEndothelial cell senescence induces endothelial dysfunction, thereby contributing to atherosclerosis progression. Circular RNAs (circRNAs) play diverse roles in multiple physiological and pathological processes. N6-methyladenosine (m6A) is the most abundant internal RNA modification in eukaryotic RNAs and dynamically regulates RNA fate and function. However, the functions and therapeutic potential of m6A-modified circRNAs in endothelial cell senescence remain unknown. METHODSm6A-modified circRNAs associated with endothelial cell senescence were screened by circRNA expression and m6A-circRNA microarray profiling of endothelial cells and mouse aortic intima. circEZH2 expression was validated in endothelial cells, vascular tissues, and human atherosclerotic plaques by RT-qPCR, and RNA fluorescence in situ hybridization. The role of circEZH2 in endothelial senescence and atherosclerosis was assessed in vitro and in vivo. RNA pull-down, mass spectrometry, RNA immunoprecipitation, co-immunoprecipitation, ubiquitination assays, and rescue experiments were used to define the underlying mechanism. RESULTSWe identified A novel m6A-modified circRNA, circEZH2, that was downregulated in the aged aortic intima and advanced plaques. CircEZH2 was stabilized by m6A reader IGF2BP2. Endothelial cell-specific overexpression of circEZH2 delayed senescence and suppressed atherosclerosis progression. At the cellular level, circEZH2 overexpression delayed senescence, decreased p53/p21 levels and increased angiogenic activity of endothelial cells, while circEZH2 knockdown exhibited the opposite effect. Mechanistically, circEZH2 functions as a scaffold to promote USP37-mediated deubiquitination, thereby stabilizing ZNF326. Moreover, endothelial cell-specific knockdown of ZNF326 counteracts the anti-senescent and anti-atherosclerotic effects mediated by circEZH2 overexpression. CONCLUSIONSIn summary, the present study identifies circEZH2 as a novel suppressor of endothelial cell senescence, highlighting its potential as a therapeutic target for age-related atherosclerosis. GRAPHIC ABSTRACTA graphic abstract is available for this article. O_FIG O_LINKSMALLFIG WIDTH=177 HEIGHT=200 SRC="FIGDIR/small/730538v1_ufig1.gif" ALT="Figure 1"> View larger version (78K): org.highwire.dtl.DTLVardef@d3a586org.highwire.dtl.DTLVardef@1180c1forg.highwire.dtl.DTLVardef@1c3d832org.highwire.dtl.DTLVardef@a6d424_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphic abstract.C_FLOATNO Schematic model of m6A-modified circEZH2 regulation in endothelial cell senescence and atherosclerosis. In young endothelial cells, IGF2BP2 is highly expressed and recognizes m6A-modified circEZH2, thereby maintaining its RNA stability. CircEZH2 stabilizes ZNF326 protein through USP37-mediated deubiquitination, which leads to suppression of p21 and p53, delays endothelial cell senescence, ameliorates endothelial dysfunction, and ultimately suppresses the progression of atherosclerosis. C_FIG What Are the Clinical Implications?This study identifies circEZH2 as a novel m6A-modified circular RNA that is reduced in the aged aortic intima and in endothelial cells within advanced atherosclerotic plaques. Endothelial circEZH2 overexpression delays endothelial cell senescence, preserves endothelial function, and suppresses atherosclerotic lesion formation, supporting an important role for circEZH2 in vascular aging-associated atherosclerosis. Mechanistically, circEZH2 acts as a scaffold to enhance USP37-mediated deubiquitination and stabilization of ZNF326, while endothelial ZNF326 knockdown counteracts the anti-senescent and anti-atherosclerotic effects of circEZH2. These findings reveal the circEZH2-ZNF326 axis as a previously unrecognized mechanism regulating endothelial senescence and atherosclerosis progression. Our work supports the potential of circEZH2-based gene therapy as a novel therapeutic approach for atherosclerosis.

cell biology↗

bioRxiv2026

Fetal MRI reveals altered prenatal cortical surface area in fetuses later diagnosed with autism spectrum disorder

Autism spectrum disorder (ASD) is increasingly conceptualized as a condition rooted in altered prenatal neurodevelopment, yet in vivo evidence from fetal brain imaging remains limited. Using retrospective fetal MRI and surface-based morphometry, we investigated cortical development in 15 fetuses later diagnosed with ASD (77%; mean gestational age [GA] = 26.7 weeks) without major structural brain abnormalities and compared them with 60 typically developing controls (57% male; mean GA = 28.4 weeks). Fetuses later diagnosed with ASD showed significantly reduced whole-brain inner cortical plate surface area compared with controls ({beta} = -0.08 {+/-} 0.02 SE, p = 0.002, partial {superscript 2} = 0.13), corresponding to an estimated [~]7.7% reduction (predicted at GA = 28.1 weeks). Lobar mixed-effects analyses demonstrated broadly distributed reductions across all cortical lobes (FDR-corrected p = <0.001-0.024; Cohens d = -0.06 to -0.10), with modest regional heterogeneity indicating relatively greater frontal and insular involvement (groupxlobe: F = 19.31, p = 0.002, {superscript 2} = 0.08). Surface area findings remained directionally stable across sensitivity analyses, including restriction to neurodevelopmentally confirmed controls and models accounting for image quality variability, although effect sizes were attenuated after quality adjustment. Normative modeling further demonstrated subtle negative deviations from typical prenatal cortical surface area trajectories in ASD (mean Z = -0.27, p = 0.018). These findings suggest that aspects of cortical morphogenesis may diverge prenatally in individuals later diagnosed with ASD and suggest the feasibility of fetal MRI-based surface morphometry for studying early neurodevelopmental variation associated with ASD risk.

neuroscience↗

bioRxiv2026

MARBL: A Live-Cell Method for Profiling Bioenergetic Heterogeneity by Noncanonical Methionine Labeling of the Cell Surface Proteome

Heterogeneity is a hallmark of biological systems, where cell-to-cell variability supports adaptation to changing environments, but also enables maladaptive states such as drug resistance. Many sources of non-genetic variation, particularly bioenergetics and metabolism, remain difficult to measure in living cells and connect to functional outcomes. Here, we introduce MARBL (Methionine Analogues for Ratiometric Bioenergetics in Live cells), a method that encodes translationally-coupled energetic responses to metabolic stress as an internally normalized signal within the surface proteome of living cells. Applying MARBL to primary immune cells reveals that differences in baseline translational activity can underlie apparent metabolic vulnerabilities, underscoring the importance of ratiometric measurements. We demonstrate that MARBL can enrich pathogenic from non-pathogenic TH17 cells based on resilience to bioenergetic stress, which functionally distinguishes cells that produce IFN{gamma} upon restimulation. Overall, MARBL offers a versatile platform to profile metabolic resilience in living cells and link bioenergetic state to cellular function.

cell biology↗

bioRxiv2026

Diffusion models learn underlying trends in actomyosin networks and predict behavior at unseen filament turnover

Generative diffusion models have demonstrated an ability to produce novel images sampled from the learned underlying data distribution. These models are able to infer system characteristics for parameter combinations that were not seen during training. We investigate the ability of these models to infer trends in biological data from limited samples. Specifically, we consider the response of system scale behaviors such as cortical flow in a simulated actomyosin system as we tune filament turnover rates. We train a diffusion model on coarse grained actin curvature and density heatmap images, and are able to generate images from conditioning variables not seen during training. These images are predictive of nonlinear trends in the system. We also consider characteristics of the system that allows this level of inference, such as the strong linear relationship between average density and filament turnover in the system, and explore minimal underlying dynamics with a motor binding model.

biophysics↗