Biology subjects

Yang, G.

Publications and source records attributed to Yang, G..

At least 19 recordsLinked to original sources

bioRxiv2026

Transient Partial Inhibition of DNA Polymerase α Promotes Chromatin Plasticity and Enhances Human Cell Reprogramming

Somatic cell reprogramming requires extensive remodeling of epigenomic and transcriptional state, yet the mechanisms that enhance chromatin plasticity during cell-fate conversion remain incompletely understood. Beyond its essential role in genome duplication, DNA replication provides a dynamic window for chromatin remodeling and may therefore influence cellular plasticity during reprogramming. Here, we show that low-dose, transient inhibition of the lagging-strand DNA polymerase (Pol ) complex markedly enhances reprogramming of human peripheral blood mononuclear cells into induced pluripotent stem cells (iPSCs). Fine-tuned inhibition of the catalytic subunit PolA1 increases cell survival under reprogramming-associated stress and enhances cellular resilience to diverse external stresses, preserves genomic stability, and accelerates the acquisition of pluripotent features. PolA1-inhibited cells undergo rapid increases in chromatin accessibility following reprogramming factor delivery and display accelerated progression toward the iPSC state. Consistent with enhanced developmental plasticity, colonies derived from PolA1 inhibitor-treatment display dome-shaped morphology, increased expression of several naive pluripotency markers such as SUSD2. Integrated imaging and single-nucleus multiomic analyses establish transient PolA1 inhibition as a potent regulator of early chromatin remodeling during reprogramming. Functionally, PolA1 inhibitor-derived iPSC lines maintain stable pluripotency and exhibit enhanced differentiation potential, including increased embryoid body budding and accelerated cardiomyocyte differentiation and maturation. Notably, transient and low-dose PolA1 inhibition alters replication-coupled histone incorporation without reducing DNA replication speed or affecting cell cycle progression. This two-step regime primes human PBMCs for sustained gains in reprogramming efficiency with pre- and post-treatment. Together, these findings identify replication-coupled chromatin regulation as an underappreciated mechanism regulating human cell fate plasticity and demonstrate that transient modulation of Pol can simultaneously enhance epigenomic plasticity and preserve genome stability during reprogramming.

molecular biology↗

bioRxiv2026

A brain-behavior generative model links individual brain dynamics to perceptual decisions

Perceptual decision speed varies across individuals and trials. Explaining this variability requires linking individual brain anatomy, neural dynamics, and behavior, yet whole-brain models typically reproduce brain signals without behavior, whereas behavioral models lack anatomical constraints. Here we introduce a brain-behavior generative model in which whole-brain dynamics on each participant's structural connectome generate both single-trial electroencephalography (EEG) and reaction times. Fitted to 17 participants performing motion discrimination, the models reproduced individual event-related potentials and reaction-time distributions. Joint fitting enabled the models to predict whether held-out trials were relatively fast or slow within each stimulus condition. In silico silencing further predicted where, how, and when each person's brain controls decision speed. Sensorimotor regions affected decision speed consistently across most participants, whereas the same parietal region had opposite effects in different participants. These opposite effects reflected whether the region acted mainly through network dynamics or the decision readout. Temporal analyses suggested that early activity largely set decision speed, whereas late EEG mainly tracked the unfolding decision. These results show that brain-behavior generative modeling can link individual brain dynamics to perceptual decisions and yield testable predictions of why decision speed varies across individuals and trials.

neuroscience↗

bioRxiv2026

SAIL: Sparse Autoencoders for Interpretable Alignment of Human Vision and Multimodal Large Language Models

Alignment between human high-level visual representations and those of multimodal large language models (MLLMs) offers a quantitative framework for understanding information processing in human vision. However, similarities between model and brain representations do not directly reveal the semantic content underlying their correspondence, as this content is difficult to isolate in entangled MLLM representations. Here, we introduce SAIL, an interpretable framework that formulates voxel interpretation as a multi-unit sparse semantic correspondence problem between MLLMs and human vision. First, we train unified cross-layer sparse autoencoders (SAEs) on MLLM representations of Natural Scenes Dataset images and captions, and align each brain voxel with multiple SAE units. Second, we quantify semantic similarity between their top-response image sets to map semantic alignment across the cortex. We project multiple semantic labels back onto the cortex to interpret the content of this alignment. Finally, we assess these correspondences using category responses measured in independent fLoc experiments. Compared with SAEs trained independently at each layer, SAIL exhibits lower redundancy in SAE unit response profiles and higher semantic alignment. We find that semantic alignment is organized along the human ventral visual pathway across the models and subjects examined. The projected labels reveal semantic preferences within canonical visual regions, while fLoc experiments show agreement between predicted and measured category response patterns. Exploratory analyses further reveal cortical distributions of action-related semantics consistent with established functional accounts of lateral occipitotemporal and posterior parietal cortex. Overall, SAIL provides an interpretable account of the semantic correspondences between MLLM representations and human visual responses.

neuroscience↗

bioRxiv2026

Hypothalamic Cell Type Evolution across Vertebrates

The hypothalamus regulates vital functions and is highly conserved among vertebrates occupying diverse niches, but little is known about the evolution of its cell types. Using comparative single-cell transcriptomics across major vertebrate classes, we identified deeply conserved and clade-specific cell types. While homologous cell types express conserved transcription factors and neuropeptides, their regulatory linkages are often rewired across evolution. The paraventricular nucleus largely retains its neuropeptide expression and responds to dehydration with fine cellular resolution from amphibians to mammals, whereas lamina terminalis neurons are specific to terrestrial vertebrates and exhibit gene expression divergence in cell types activated by dehydration and heat. We propose that a conserved set of keystone cell types sustain essential functions across vertebrates, while flexible gene regulatory programs alongside numerous clade-specific cell types offer evolutionary fluidity.

evolutionary biology↗

bioRxiv2026

Centrosome-centromere capture range, rather than centrosome arrangement, determines multipolar chromosome segregation pattern after whole-genome duplication

Whole-genome duplication (WGD) causes chromosome instability through multipolar chromosome segregation driven by supernumerary centrosomes. WGD cells formed through distinct processes, mitotic slippage (MS) and cytokinesis failure (CF), show a prominent difference in viability after multipolar chromosome segregation: MS causes a more skewed homologous chromosome distribution than CF, resulting in more frequent nullisomic chromosome segregation with poorer survival through the first mitosis. However, the determinants of route-dependent differences in post-WGD cell viability remain largely unknown, particularly regarding the contribution of spatial rearrangement of supernumerary centrosomes. Here, we found marked differences in supernumerary centrosome distribution upon entry into the first mitosis after MS and CF, stemming from distinct nuclear geometry. The distinct centrosome distributions differentiated kinetochore capture patterning after MS and CF, whereas their modulations had minimal effect on the fidelity of subsequent chromosome segregation. In contrast, artificially extending the centrosome-centromere capture range by depleting the microtubule depolymerizer MCAK drastically suppressed the MS-linked aggravation of nullisomic chromosome segregation through equalizing chromosome capture by each supernumerary centrosome. These results suggest that centrosome-centromere capture range, rather than the spatial arrangement of the centrosomes themselves, determines the fidelity of chromosome segregation after WGD. Our findings provide fundamental insights into atypical cell proliferation mechanisms after WGD.

cell biology↗

bioRxiv2026

DICAROS: Diffeomorphic Ancestral Shape Reconstruction on Phylogenies

Reconstructing ancestral morphologies on a phylogenetic tree is a central task in evolutionary morphometrics. Established reconstruction methods, including multivariate Brownian-motion approaches, rely on linear assumptions and do not directly model the correlations between landmarks within a shape, which can oversimplify the reconstructed morphology. The DICAROS method (Diffeomorphic Independent Contrasts for Ancestral Reconstruction of Shapes; Severinsen et al., 2026) instead fuses sibling shapes along branches with large-deformation diffeomorphic (LDDMM) landmark dynamics that model these correlations, so that ancestors remain on the shape manifold. DICAROS was shown to outperform ordinary least-squares, Brownian-motion, and penalized-likelihood reconstruction, particularly on non-symmetric trees. The dicaros package repackages that pipeline as a documented, pip-installable tool that runs on arbitrary landmark datasets from a single command. It handles 2D and 3D landmarks, Newick and NEXUS trees, a choice of Euclidean or Frechet species means, optional anchor-based alignment, and tips backed by a single specimen, and it returns the reconstructed shapes for all nodes together with the tree relabelled at its internal nodes. We demonstrate dicaros on two new datasets: a 2D leaf dataset (217 species) and a 3D guenon skull dataset (22 species).

evolutionary biology↗

bioRxiv2026

Modulating hydrogel architecture via cross-linker length for high-resolution tissue imaging and photochemical sectioning

The recent development of Volumetric Imaging via Photochemical Sectioning (VIPS) has enabled nanoscale imaging of whole-mount tissue samples of virtually any size by embedding intact tissue in a photocleavable, superabsorbent hydrogel. However, the efficacy of sample embedding, imaging, and photochemical sectioning is fundamentally governed by the mechanical stiffness, structural stability, and photodegradation kinetics of the photocleavable hydrogel (PC-gel) polymer network. To elucidate the effect of the photosensitive crosslinker design on these critical properties, we synthesized a set of photocleavable crosslinkers (PCs) with varying polyethylene glycol (PEG) backbone lengths and prepared the corresponding PC-gels under a fixed monomer formulation and polymerization condition. We quantified and compared the viscoelastic properties of the formed PC-gels at their swollen states, and found that the crosslinker length markedly reshaped the PC-gel mechanics. In addition, we evaluated the light-triggered degradation of the PC-gels using both wide-field and spatially-controlled illumination. We found that PC-1000, PC-1500, and PC-2000 gels remained comparably photodegradable, all enabling on-demand, spatially confined decrosslinking under such illuminations. These results provide practical guidelines for modulating the crosslinker architecture of PC-gel polymer networks to achieve optimal physicochemical properties for whole-mount tissue imaging using VIPS.

biophysics↗

bioRxiv2026

Health-associated gut bacteriocins target TLR4 to suppress intestinal inflammation

The human microbiome maintains host immune homeostasis by secreting bioactive metabolites. However, extending beyond well-characterized metabolites, the functions of most microbiome-encoded peptides remain poorly defined. In this study, we developed a multi-cohort metagenomic framework to profile protective class II bacteriocins--unmodified, ribosomally synthesized peptides--that are enriched in healthy individuals but depleted in patients with inflammatory bowel disease (IBD). We have designated these health-associated bacteriocins as gutcins. Two gutcins, which lack canonical antimicrobial activity, potently attenuate intestinal inflammation in murine models. Cryo-electron microscopy (cryo-EM) reveals that one gutcin, named gutcin 03, directly engages the C-terminus of TLR4, blocking its dimerization and downstream inflammatory signaling. Guided by this structural interface, we generated truncated variants with enhanced potency, demonstrating the amenability of these simple peptides to rational optimization. Collectively, our findings reposition class II bacteriocins from antimicrobial agents to endogenous immunomodulatory effectors and establish a structural and mechanistic foundation for their development as next-generation therapeutics for inflammatory intestinal disorders.

microbiology↗

bioRxiv2026

Perturbation Curve models continuous transcriptional response trajectories and improves prediction of genetic modulations

Single-cell CRISPR screens, Perturb-seq, have revolutionized functional genomics by revealing biological causality. However, although perturbation assignments are typically represented as discrete labels, the cell-level effective strength of perturbations is often continuous and diverse. Current analytical frameworks struggle to decouple the variability in perturbation strength from the diversity of downstream responses. Here, we present Perturbation Curve (PertCurve), a nonlinear, curve-based computational framework that models the trajectories of transcriptomic responses by explicitly incorporating diverse perturbation magnitudes and strengths. By ordering cells by perturbation strength, we demonstrate that PertCurve accurately recapitulates the response magnitudes and reveals the distinct modularity and asynchrony patterns of downstream gene behaviors. These patterns are categorized into archetypes, including proportional, sensitive, and threshold responses. By applying this framework across CRISPRi/a modalities, we identify universal response patterns in viral infection, apoptosis, and proliferation genes, and reveal previously overlooked context-specific regulatory features in cell differentiation. Finally, incorporating PertCurve into perturbation prediction models and evaluation metrics enhances predictive performance, delivering actionable insights for refining established models.

bioinformatics↗

bioRxiv2026

Cardiomyocytes Undergo a Mesenchymal-Like Fate Transition in Myocardial Fibrosis

BACKGROUNDMyocardial fibrosis, a pathological hallmark of adverse cardiac remodeling and heart failure, has been conventionally attributed to the activation of resident fibroblasts. Although recent studies suggest contributions from non-fibroblast lineages, direct in vivo genetic evidence that cardiomyocytes can undergo a mesenchymal-like fate transition during myocardial fibrosis remains absent. This study aims to investigate whether such a transition occurs and to elucidate the underlying regulatory mechanisms. METHODSHuman myocardial infarction (MI) tissues were analyzed by immunohistochemistry and integrated with public single-nucleus RNA sequencing (snRNA-seq) data to detect mesenchymal-like signatures in cardiomyocytes. Genetic lineage-tracing was performed in MI mice, and in cardiomyocyte-specific Hgs (hepatocyte growth factor-regulated tyrosine kinase substrate) gene knockout mice, to map the fate of cardiomyocyte-derived cells. Mechanistic insights were obtained through proteomic and snRNA-seq analysis of Hgs knockout hearts and validated through gain- and loss-of-function experiments targeting Aldh1a2 (aldehyde dehydrogenase 1 family member A2). RESULTSIn human MI samples, a subset of cardiomyocytes showed reduced expression of cardiomyocyte markers concurrent with acquisition of mesenchymal-associated markers. Genetic lineage tracing demonstrated that adult cardiomyocytes can adopt a mesenchymal-like cell fate during post-MI remodeling. We identify HGS as a factor constraining this transition. Hgs knockout in adult cardiomyocytes upregulated Aldh1a2, triggered the mesenchymal-like fate transition, and gave rise to cells expressing markers of activated fibroblasts or osteoblasts, accompanied by pronounced myocardial fibrosis and calcification. Forced Aldh1a2 overexpression in cardiomyocytes drove the mesenchymal-like fate transition in vitro and in vivo, whereas Aldh1a2 deletion in cardiomyocytes mitigated MI-induced myocardial fibrosis. CONCLUSIONSThis study provides in vivo genetic evidence that adult cardiomyocytes possess the capacity to undergo a mesenchymal-like fate transition under pathological conditions. Our data suggest that HGS and ALDH1A2 serve as regulators of the transition, offering a new basis for understanding cellular and molecular mechanisms of myocardial fibrosis. Novelty and SignificanceO_ST_ABSWhat Is Known?C_ST_ABSO_LIMyocardial fibrosis is primarily driven by resident fibroblast activation, with additional contributions from cardiac CD34+ cells, pericytes, and macrophages. C_LIO_LIAdult cardiomyocytes exhibit phenotypic plasticity and transdifferentiate into epicardial-like or pacemaker cells under specific conditions. C_LI What New Information Does This Article Contribute?O_LIA subset of cardiomyocytes adopts a mesenchymal-like cell fate during myocardial fibrosis, marked by downregulation of cardiomyocyte identity markers and loss of aligned cell-cell contacts. C_LIO_LIThese cells acquire mesenchymal morphology and markers, ECM components, migratory gene signatures, and proliferative capacity. C_LIO_LIHGS and ALDH1A2 act as regulators of this mesenchymal-like fate transition. C_LI Myocardial fibrosis drives heart failure progression, yet the cellular sources of pathological fibroblasts remain incompletely defined. Here, we demonstrate that a subset of cardiomyocytes adopts a mesenchymal-like cell fate during myocardial fibrosis by using an integrated approach combining human MI samples, murine genetic lineage tracing, and snRNA-seq. Mechanistically, we identify HGS and ALDH1A2 as regulators of this transition. Cardiomyocyte-specific Hgs deletion upregulates Aldh1a2, triggering the mesenchymal-like fate transition. Furthermore, Aldh1a2 overexpression drives this transition, while its deletion attenuates MI-induced fibrosis. These findings reveal a previously unrecognized plasticity of adult cardiomyocytes and identify potential therapeutic targets for fibrotic heart disease.

genetics↗

bioRxiv2026

NEO-AAV: an engineered extracellular vesicle-enveloped AAV platform for activation-coupled T cell transduction and CAR-T cell generation

Efficient delivery of genetic cargo to primary human T cells remains a critical barrier for cell-based immunotherapies. AAVs are widely used but limited by immune neutralization and poor T cell transduction efficiency. We present NEO-AAV, an engineered fusion protein (PH-ALG2-PKD12) that recruits AAV capsids into endogenous extracellular vesicles (EVs) via PI(4,5)P2-directed membrane targeting, multivalent PKD12-capsid clustering, and ALG2-mediated ESCRT machinery recruitment, yielding EV-enveloped particles with improved AAV loading compared with passive EV-AAV controls. NEO-AAV displayed enhanced resistance to an anti-AAV6 neutralizing antibody (ADK6), maintaining transduction at concentrations that neutralized naked AAV6 and outperformed passively formed EV-AAV6. Surface display of a CD7/CD3/CD28 tri-chimera enabled single-step activation and transduction of CD7 T cells within PBMCs, reaching [~]38% eGFP cells without exogenous pre-activation. As a proof-of-concept, NEO-AAV generated functional CAR-T cells from primary human PBMCs, exhibiting antigen-specific IFN-{gamma} release and cytotoxicity against CD19+ target cells. CAR expression peaked at day 5 and declined by day 15, consistent with episomal AAV kinetics, framing NEO-AAV as an activation-coupled delivery module rather than a durable solution. Together, NEO-AAV provides a programmable EV-enveloped AAV platform with improved immune shielding and single-step T cell transduction, offering a building block for immune cell engineering with in vivo potential.

bioengineering↗

bioRxiv2026

An RNA Language Model trained on sequence alone reveals the structural logic of Internal Ribosome Entry Sites

Millions of RNA sequences are readily available, but the structures that determine their function are not. Picornaviruses initiate translation through Internal Ribosome Entry Sites (IRESes), RNA elements that recruit ribosomes independent of the 5` cap. These elements are large and highly divergent, and structural understanding remains limited to a handful of cases. We address this bottleneck by introducing an RNA language model (Albatross), trained purely on sequence, that predicts high-quality IRES structures at scale. We collect in cellulo chemical probing data for 96 full-length IRESes from divergent viruses and show that Albatross achieves far higher precision (0.80) than state-of-the-art predictions (0.47). Analyzing 75,000 IRES structures, we discover a novel Type II structural subclass and validate it experimentally. We demonstrate the pipeline broadly generalizes to identify functional structures, including tertiary contacts and alternative riboswitch structures. These findings establish Albatross as a scalable framework that accelerates RNA structure discovery and antiviral targeting.

molecular biology↗

bioRxiv2026

Multiscale Mechanisms of Human Memory Modulation by Deep Brain Stimulation

The highly variable effects of deep brain stimulation (DBS) on cognition highlight a fundamental gap in our understanding of how external perturbations interface with the brains ongoing, task-engaged state. The current study addressed this challenge by combining intracranial EEG recordings with hippocampal DBS stimulation in human participants during spatial sequence memory task. We found 50 Hz stimulation targeting hippocampal white matter enhanced memory performance, whereas 5 Hz stimulation targeting hippocampal gray matter impaired memory. These opposing behavioral outcomes were both governed by two dissociated mechanisms: a region-specific modulation of theta rhythms in an engagement-dependent fashion, and a global modulation of the fidelity of memory representations across the cortex. Our results suggest targeted stimulation can concurrently fine-tune specialized circuits and govern the brains global state, which not only offers a novel roadmap for understanding how external inputs shape human cognition, but also helps to design precise, state-dependent neuromodulation therapies.

neuroscience↗

bioRxiv2026

The Urinary Tract Commensal Peptoniphilus spp. Encodes a Novel 17β-Hydroxysteroid Dehydrogenase

Microbial steroid metabolism represents an underappreciated extension of the vertebrate endocrine system, with growing evidence that host-associated microbes contribute to the diversity and bioavailability of sex steroids within human tissues. Emerging studies have linked microbial androgen metabolism to urinary microbiome composition and to resistance to androgen deprivation therapy (ADT) in prostate cancer. While microbial pathways capable of converting steroid precursors such as cortisol to androgens, via the steroid-17,20-desmolase pathway, such as DesG-mediated interconversion of androstenedione to testosterone have been reported, the diversity of enzymes mediating downstream androgen interconversion remains incompletely defined. Here, we investigate the androgen-forming capabilities of anaerobic bacteria from the male genitourinary microbiome, focusing on NADPH-dependent 17{beta}-hydroxysteroid dehydrogenases (17{beta}-HSDHs) that catalyze interconversion of androstenedione and testosterone. We isolated androgen-forming bacterial strains from human male urine and identified a previously uncharacterized 17{beta}-HSDH encoded by Peptoniphilus obesi, demonstrated that this enzyme catalyzes the NADPH-dependent reduction of androstenedione to testosterone and the reverse oxidation reaction. Sequence similarity searches further identified a homologous 17{beta}-HSDH in Anaerococcus, which was synthesized and functionally validated, revealing conserved activity despite low sequence identity to the previously characterized urinary tract enzyme DesG. The enzymes were found to have broad substrate specificity for C19 and C18 17keto- and 17{beta}-hydroxysteroids. Together, these findings expand the known diversity of microbial 17{beta}-HSDHs and identify previously unrecognized androgen-forming activities within the genitourinary microbiome. ImportanceMicrobial steroid-transforming pathways may provide a mechanism by which commensal anaerobes contribute to androgen availability in the genitourinary tract. By identifying novel 17{beta}-hydroxysteroid dehydrogenases from Peptoniphilus and Anaerococcus, genera repeatedly associated with prostate cancer, this study provides mechanistic insight into how microbial steroid metabolism may influence hormone-driven disease.

microbiology↗

bioRxiv2026

Intranasal immunization with live-attenuated RSV-vectored SARS-CoV-2 vaccines elicits antigen-specific systemic and mucosal immunity and protects against viral challenge and natural infection

The emergence of new SARS-CoV-2 variants and breakthrough infections underscores the need for next-generation vaccines capable of protecting from natural infection and/or preventing virus transmission to others. Intranasal vaccination offers a promising approach by eliciting local immune responses in the nasal mucosa, the primary site of infection and reservoir for transmissible virus. We evaluated two live-attenuated, respiratory syncytial virus vectored vaccines in which the RSV F and G surface glycoproteins were replaced with a chimeric SARS-CoV-2 Spike protein from either the ancestral USA/WA-1/2020 strain (MV-014-212) or the Delta variant (MV-014-212-delta). A single intranasal dose of either vaccine elicited systemic and mucosal immunity in K18-hACE2 mice, including serum neutralizing antibodies, Spike-specific memory B cells and plasmablasts, and Spike-specific CD8 lung-resident memory T cells. Although MV-014-212-delta vaccination provided the best protection against Delta variant virus challenge, both vaccines decreased viral loads in nasal discharge, lung and brain, and reduced weight loss and mortality. In naturally acquired infection studies, vaccinated hamsters exposed to infected cagemates exhibited minimal weight loss, limited viral replication within the nasal mucosa, and attenuated lung pathology. Therefore, intranasal RSV-vectored vaccines can elicit broad protective respiratory immunity, suggesting that this platform could be leveraged for other respiratory pathogens.

immunology↗

bioRxiv2026

A cerebellar cognitive rheostat bidirectionally controls attention

Attention requires filtering distractors and amplifying signals, processes classically attributed to cortico-thalamic networks. Here, we reveal that the cerebellum operates as a bidirectional "cognitive rheostat" to optimize attentional states. In mice, the anterior and posterior cerebellar vermis exert opposing control over attention. Granule cells in the anterior vermis are functionally suppressed to gate sensorimotor noise via reticular nucleus-driven feedforward inhibition. Conversely, posterior granule cells are recruited by pontine inputs to amplify cognitive signals, a process relying on Grin1-mediated NMDA receptor plasticity. Circuit-specific manipulations targeting this push-pull mechanism, or localized pharmacological modulation, successfully rescued attentional deficits in an ADHD mouse model. These findings fundamentally expand the cerebellums role beyond motor coordination, identifying a topographic circuit algorithm essential for cognitive control.

animal behavior and cognition↗

bioRxiv2026

Convergent cortical temporal axis: common cortical oscillatory modes

Brain dynamics provide the most direct substrate for neural function and representation. Extensive prior work has demonstrated that the human brain is organized into hierarchical structures across molecular, cellular, microstructural, and macroscale network levels. However, whether these hierarchies can be directly linked through shared patterns of neural dynamics remains unresolved, and clear evidence from data-driven analyses is still lacking. A central open question is whether brain dynamics vary along a single continuous dimension, or whether they are instead composed of a limited number of reproducible coordination modes that could provide a unifying basis for cross-scale integration. Here, using source-resolved resting-state magnetoencephalography (MEG), we adopt a fully data-driven approach that imposes no a priori assumptions about cortical hierarchy or gradient structure. By characterizing full-spectrum power relationships across cortical regions, we identify a set of stable and reproducible spectral coordination modes. These modes capture how multiple frequency components jointly co-vary across space, defining distinct dynamical configurations rather than conventional band-limited oscillations or continuous gradients. The identified spectral coordination modes exhibit pronounced spatial differentiation across the cortex, distinguishing regions dominated by narrowband rhythmic activity from those characterized by broadband or multi-frequency coordination. Importantly, these modes do not correspond to predefined hierarchical axes, nor can they be reduced to existing MEG gradients or functional connectivity organizations. Instead, they emerge directly from the data, revealing a finite set of shared organizational patterns underlying cortical dynamics. Multimodal analyses further demonstrate that individual spectral coordination modes show selective associations with neurotransmitter system distributions, laminar microarchitecture, and cell-type-specific gene expression, suggesting that these dynamical patterns may serve as linking mechanisms between micro- and macroscale brain organization. Computational modeling supports this interpretation, showing that differences in local circuit parameters are sufficient to generate distinct spectral coordination states without invoking a single global dynamical hierarchy. Across the adult lifespan, these coordination modes exhibit frequency- and region-specific reorganization, indicating multiple parallel trajectories of dynamical aging. In Parkinsons disease, alterations are observed in specific spectral coordination modes, particularly within higher-order cortical regions, suggesting that the disorder preferentially disrupts distinct dynamical configurations rather than inducing a global breakdown of cortical dynamics. Together, these findings indicate that large-scale brain dynamics are not organized along a single pre-existing hierarchical axis, but instead are structured by a limited number of data-driven spectral coordination modes. This framework provides a new dynamical perspective for linking brain organization across modalities and scales, and offers a principled avenue for understanding systematic changes associated with aging and neurological disease.

neuroscience↗

bioRxiv2026

Profiling cell proliferation after whole-genome duplication in human cells

Though whole-genome duplication (WGD) contributes to cancer progression, the mechanism of post-WGD cell proliferation remains unclear. Here, using 6-day live-imaging, we analyzed the proliferation dynamics of more than 150 post-WGD HCT116 cell lineages. A quantitative comparison of mitotic patterns and cell fates between proliferative and non-proliferative lineages revealed that multipolar chromosome segregation in early mitosis is a key factor limiting the proliferative capacity of post-WGD progenies. Multipolar chromosome segregation suppressed post-WGD cell viability, particularly when accompanied by drastic chromosome loss or when it repeatedly occurred. Tracing proliferative lineages elucidated that they proliferated mainly by imposing the risk of multipolar chromosome segregation on one of two sub-lineages that formed after the first bipolar division. Meanwhile, a considerable proportion of proliferative lineages consisted entirely of progeny of early multipolar chromosome segregation events. Our results highlight key cellular events that determine the proliferation dynamics and diversity of post-WGD progenies, providing a fundamental reference for understanding WGD-associated bioprocesses. Summary statementLive image tracing of >150 cell lineages reveals the cross-generation dynamics of multipolar chromosome segregation that determine the fates of post-whole-genome duplication progeny cells.

cell biology↗