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Park, Y.

Publications and source records attributed to Park, Y..

At least 19 recordsLinked to original sources

Spatial isotope tracing maps compartmentalized nutrient use across the adult fruit fly

Drosophila melanogaster is a powerful model for studying systemic metabolism. Although metabolism is compartmentalized across tissues, prior work in adult Drosophila has mostly measured it in dissected tissues rather than in situ, limiting the spatial information that can be gained. Here, we combine whole-fly mass-spectrometry imaging with stable-isotope tracing and flux modeling to quantify metabolic activities across the adult fruit fly in a spatially resolved manner. Across 68 tracer-fed Oregon-R female flies and 187,709 pixels, we map 81 metabolites onto eight annotated regions, including muscle, fat body, gut, and nervous system. Glucose labeling and fitted relative fluxes indicate higher glycolytic and tricarboxylic acid cycle turnover in thoracic muscle than in abdominal fat body; proline labels the nervous system and eye; glutamine the abdominal reproductive system and gut. Alanine carries glucose-derived carbon through the hemolymph and transfers nitrogen into glutamate. In flies bearing yorkie-driven gut tumors, alanine contribution to malate rises in gut and abdomen, and reducing gut alanine uptake lowers tumor burden. Together, this work establishes a framework for quantitative spatial metabolic analysis, showing compartmentalized nutrient use across the adult fruit fly.

genetics↗

A microbiota-dependent gut bile acid axis links germline mutant p53 to distal tumour growth.

The gut microbiome can influence cancer development, but its contribution to cancer predisposition in Li-Fraumeni Syndrome (LFS) remains poorly understood. Here, we investigated whether germline mutant p53 alters the intestinal environment using Trp53R172H/+ mice. Tumour-naive mutant mice exhibited increased intestinal permeability and a pro-inflammatory colonic phenotype, including elevated inflammatory cytokines and enhanced NF-{kappa}B signalling. Untargeted metabolomic profiling revealed a striking alteration in bile acid metabolism, with targeted analysis identifying increases in multiple primary and microbiota-derived secondary bile acids. Notably, these changes occurred despite no detectable differences in overall microbial community composition, suggesting altered host-microbial metabolic output in the absence of broad compositional change. Several faecal bile acids were positively associated with distal tumour burden, with the microbiota-derived secondary bile acid deoxycholic acid (DCA) showing the strongest relationship. Microbiota depletion reduced distal tumour growth in mutant mice and attenuated intestinal barrier dysfunction, colonic inflammation and the altered faecal bile acid profile, including DCA. Conversely, transfer of cell-free faecal filtrate from mutant donors to WT recipients induced colonic inflammation and enhanced distal tumour growth. Together, these findings identify a mutant p53-gut axis in which germline mutant p53 establishes a microbiota-shaped metabolic and inflammatory intestinal environment capable of promoting tumour growth beyond the gut.

cancer biology↗

G4SCOPE identifies sequence features and epigenetic contexts of chromatin G-quadruplexes

Cancer-associated epigenetic remodeling involves a complex interplay between DNA secondary structures and covalent cytosine modifications, yet predicting endogenously folded, chromatin-constrained G-quadruplex (G4) dynamics remains challenging. Here, we develop G4SCOPE, a multi-task deep learning framework that models chromatin-associated G4 occupancy and reconstructs quantitative high-resolution CUT&Tag profiles directly from primary DNA sequence alone. We initially trained G4SCOPE on genotype-stratified G4 enriched cut&tag landscapes generated across an isogenic series of human breast epithelial cells (WT, TP53-/-, TP53-/-;BRCA1-/-, and TP53-/-;BRCA2-/-). G4SCOPE integrates convolutional motif learning with transformer self-attention to decode long-range sequence contexts. The model robustly distinguishes chromatin-associated G4s from GC-matched loci with intrinsic in vitro folding potential, generalizes across distinct breast lineages, and transfers accurately to an independent K562 cellular context. Strikingly, genotype-resolved mapping reveals a profound divergence in genome maintenance states: BRCA1 deficiency indicated a global inflation of chromatin-embedded G4 density, whereas BRCA2 loss was associated with systemic, chromosome-wide structural depletion. Furthermore, unsupervised clustering of model-derived latent sequence representations identified distinct biological G4 subclasses that occupy unique regulatory class genomic environments associated with distinct local 5-methylcytosine and 5-hydroxymethylcytosine landscapes. Together, our framework decodes the primary sequence grammar governing cell-based G4 occupancy and demonstrates that sequence-defined G4 topologies harbor intrinsic and distinct local epigenetic features.

bioinformatics↗

The balance of local and distributed excitation shapes brain stability and reflects aging- and Alzheimer's disease-related alterations

Human brain function emerges from the interplay between recurrent local activity and distributed inter-regional interactions. However, a biologically interpretable framework for quantifying this balance between the two factors at the whole-brain level remains lacking. Here, we extended an established biophysical model to quantify inter-regional excitation and newly introduced the recurrent ratio (R-ratio), a measure of the relative balance between intra- and inter-regional excitation. Dynamical analyses showed that an optimal R-ratio supports a trade-off between network stability and flexibility. Applying this framework to healthy aging and Alzheimer's disease revealed progressively increased R-ratios with advancing age and disease severity. In healthy individuals, higher R-ratios were associated with age-related alterations in brain morphology, molecular pathology, and cognitive function, whereas Alzheimer's disease was characterized by increased R-ratios accompanied by reduced dynamical persistence. Together, these findings establish the R-ratio as a biologically interpretable marker of whole-brain excitation balance and demonstrate its utility for linking biophysical mechanisms with large-scale brain dynamics, aging, and neurodegeneration.

neuroscience↗

Evolution of NELL binding by dual-ligand-responsive axon guidance receptor Robo

Robo receptors are conserved across bilaterians and best known for their ability to mediate axonal repulsion in response to Slit family ligands. In mammals, this applies to Robo1 and Robo2, but mammalian Robo3 binds NELL proteins instead of Slits. The evolutionary origin of NELL-Robo interactions and the possible existence of dual-ligand responsiveness across species remain unknown. Here, we systematically analyzed Robo and NELL homologs across bilaterians and found that NELL-Robo binding is conserved among chordate Robos, but not in protostomes. We show that cephalochordate Robo and NELL can mediate axon repulsion in vitro, suggesting conserved functionality. We observed that conformational masking of the NELL-binding site is prevalent among chordate Robos, modulating NELL-Robo affinity. We also demonstrate that NELL-Robo complexes undergo liquid-liquid phase separation in vitro, a property preserved from cephalochordates to mammals. Our findings support a model in which an ancestral chordate Robo receptor was dual-responsive to Slit and NELL, still the case for some extant Robos, and vertebrate paralogs subfunctionalized, with full ligand specialization emerging in mammals.

biochemistry↗

Chronic stress promotes sex-divergent Type 1, 2 and 17 responses in brain resident lymphocytes.

T helper cytokines such as IFN{gamma} and IL-17 are dysregulated in a subset of patients with depression and are associated with poor responses to treatment. Both IFN{gamma} and IL-17 have been shown to regulate neural circuits involved in behavioral changes implicated in depression. However, the cellular source and the regulatory mechanisms governing these cytokines in this context remain incompletely understood. We analyzed brain lymphocytes in response to unpredictable chronic mild stress (UCMS), a model of depression with strong face and construct validity. We confirmed that UCMS induced depressive-like behavior in both male and female mice. Interestingly, UCMS preferentially reduced regional synaptic density in female and neuron counts in male hippocampi. Using single cell RNAseq, we identified T helper cytokine signatures to be enriched in distinct lymphocyte lineages expressing tissue resident markers and are regulated by both sex and chronic stress. Female brain-resident {gamma}{delta}T cells are significantly enriched for type 2 and type 17 signatures and have higher expression of inflammasome genes such as Nlrp3 and Il1b whereas male {beta}T cells and NKT cells are enriched for type 1 signatures and have elevated Cxcr3 and Il27ra expression. Chronic stress amplified the sex differences and preferentially increased the type 1 response including IFN{gamma} production in males at both the transcriptome and protein level. Type 17 response (e.g. IL-17A and IL-17F production) is also increased in response to UCMS, however with sex-divergent polarization: IL-22 is decreased in female and increased in male brain lymphocytes. Mechanistically, we found that UCMS suppressed P4ha1 in male and Zfp36 in female brain tissue resident lymphocytes. P4HA1 was previously shown to restrict mitochondrial function and limit type 1 responses in CD8 T cells, whereas ZFP36 is a suppressor of inflammatory cytokine translation. Consistent with this finding, ex vivo CD3-dependent stimulation of brain immune cells showed stress-dependent increase in cytokine production with sex-specific effects. Our study provides the cellular and molecular framework for chronic stress-induced tissue resident lymphocyte dysregulation and its sex bias in the brain, with implications for depressive disorders marked by inflammation.

immunology↗

Utanos: A general-purpose shallow whole-genome sequencing analysis workflow identifies interpretable copy number signatures

SummaryA modular FASTQ-to-figures solution for analyzing low-depth or shallow whole-genome sequencing (sWGS) data. Shallow WGS can be used to detect copy number (CN) aberrations, Homologous Recombination Deficiency (HRD), and to detect and create CN signatures. Growing in popularity, this sequencing type is used for neonatal diagnostics and studying cancer. One of the major benefits is the reduced cost compared with deeper sequencing modalities such as Whole Genome Sequencing (WGS). With just 15 million reads often targeted, and sample substrate options like Formalin-Fixed, Paraffin-Embedded (FFPE) blocks widely available, this approach enables an affordable study to be performed at scale. Our pipeline and R package are an end-to-end solution implemented with reusability and modularity in mind. It makes entry and exit from the ecosystem easy, providing regular standardized output formats throughout execution. The pipeline is written in the well-supported and cross-platform Nextflow framework and has been submitted for inclusion in nf-core. Additionally, a Docker image for the utanos R package has been created to improve modularity. Availability and ImplementationThe latest version of all software is freely available on GitHub. For the full processing pipeline, visit: https://github.com/Huntsmanlab/swgs-processing-pipeline. For just the utanos R package, visit: https://github.com/Huntsmanlab/utanos.

bioinformatics↗

MetaboXcan: A multiomic framework linking genetically predicted metabolites, gene expression, and complex traits

Genetically regulated molecular phenotypes, such as gene expression and metabolites, are widely thought to mediate the effect of disease-relevant genetic loci identified by genome-wide association studies (GWAS); however, molecular mechanisms connecting genetic variation to disease remain poorly understood. While transcriptome-wide association studies (TWAS) have identified disease-associated genes, strategies that integrate the metabolome remain underexplored. Here, we introduce MetaboXcan, a framework for predicting plasma metabolite levels from genetic data and associating them with complex traits using GWAS summary statistics. We trained lasso regression models on plasma metabolite and genotype data from the Metabolic Syndrome in Men Study (METSIM); these models outperform existing genetic metabolite predictors and generalize well across independent cohorts. MetaboXcan leverages these models to perform four complementary association analyses: (i) gene-to-trait (TWAS), (ii) gene-to-metabolite (M-TWAS), (iii) metabolite-to-trait (MWAS), and (iv) gene-expression-based metabolite-to-trait associations (g-MWAS). The framework further organizes results into metabolic pathways and gene-metabolite interaction networks to facilitate biological interpretation. Applied to chronic kidney disease (CKD), MetaboXcan identified known disease risk genes (PDILT/UMOD, SPATA5L1/GATM), as well as multiple CKD-relevant metabolites (e.g., glycine, homoarginine). Our integrated multiomic analysis enables biological interpretation by revealing glycine availability-centered biochemical axes spanning oxidative stress, cellular energetics, and vascular signaling, while nominating candidate mechanisms for downstream investigation. These results validate known disease-related biology with genetic evidence and generate new hypotheses for further investigation. MetaboXcan is publicly available and broadly applicable to any GWAS phenotype.

genetics↗

The anatomical compartment defines distinct immune remodeling within human visceral adipose tissue during aging

Age-associated inflammation varies across tissues, but whether distinct visceral adipose tissue (VAT) depots undergo inflammatory remodeling in a depot-specific manner remains unclear. Here we profiled human peri-organ VAT, comparing kidney-associated fat (KF, from kidney transplantation donors) and gallbladder-associated fat (GBF, from asymptomatic cholecystectomy patients with incidental polyps), using single-cell RNA sequencing, flow cytometry, intracellular protein profiling and in situ analysis. GBF showed broad tissue-residency and granzyme K-associated remodeling across conventional, regulatory and innate-like lymphocyte compartments, whereas KF showed stronger B cell remodeling, greater myeloid representation and more compartmentalized changes within resident effector-like CD8+ T cell states. We further identified age-associated CD20+ T cells with features consistent with local B-T cell interaction and an antigen-experienced, granzyme K-associated inflammatory memory phenotype. In situ analysis revealed age-associated myeloid accumulation and crown-like structure remodeling, accompanied by distinct myeloid inflammatory programs in KF and GBF. Finally, depot-specific immune signatures associated with clinical indices of adjacent kidney and liver function. These findings indicate that age-associated distinct immune programs within peri-organ VAT depots track with local tissue context and the state of the adjacent organ.

immunology↗

Nutrient-dependent hippocampus dopamine signaling enhances meal-related episodic memory and reduces food intake

BackgroundDopamine (DA) is a neurotransmitter critically involved in food-related reinforcement learning. While mesolimbic DA reward-associated signaling in the nucleus accumbens has been widely investigated, far less is known about DA function in the hippocampus (HPC), a brain region traditionally known for its role in episodic and spatial memory processes that has recently been associated with appetite and food intake control. MethodsHere we investigated dorsal HPC DA signaling dynamics in rats using fiber photometry to detect changes in DA binding (via GRAB-DA sensors) before, during, and after a meal consumption in food-restricted rats. Pharmacological studies targeting HPC dopamine 2 receptors (D2R) assessed the functional role of HPC DA signaling in food intake and meal-related memory processes. ResultsHPC DA binding was significantly elevated in the post-meal relative to the pre-meal state following standard chow consumption. This effect was replicated after consuming a high fat diet or liquid sucrose, but not a low-calorie sweetener. These post-meal DA signaling elevations are dependent on nutrient consumption, as HPC DA binding levels were unaffected by intraperitoneal administration of glucose or the satiation hormone, cholecystokinin, in otherwise fasted rats. Direct HPC D2R agonists administration reduced food intake, whereas HPC D2R blockade after a meal reduced the latency to the next meal and impaired spatial memory for meal location without affecting spatial memory for object location. ConclusionsCollective results identify HPC DA-D2R signaling as a candidate neurobiological mechanism through which nutrient consumption promotes meal-related episodic memory formation, and by extension, reduces subsequent food intake.

neuroscience↗

Staphylococcus aureus uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis

UDP-N-acetylglucosamine (UDP-GlcNAc) is an essential metabolite used to build the peptidoglycan cell wall that protects bacteria against lysis caused by high turgor pressure. More than thirty years ago, GlmU, which contains both acetyltransferase and uridyltransferase activities, was discovered to make UDP-GlcNAc in E. coli, and it is now widely considered essential for UDP-GlcNAc synthesis across bacteria. Here we report that the clinically important pathogen Staphylococcus aureus relies on a previously uncharacterized uridyltransferase called NagU to synthesize most of its UDP-GlcNAc for cell wall synthesis. We also report that NagU binds to and negatively regulates DacA, the diadenylate cyclase that makes the essential second messenger cyclic di-AMP, which regulates turgor pressure. We propose a model in which increasing NagU expression simultaneously increases flux into peptidoglycan and increases turgor pressure to enable cell wall expansion. Finally, an evolutionary analysis shows that many bacteria beyond Staphylococcaceae encode NagU homologues but lack GlmU either entirely or in part, suggesting that alternative UDP-GlcNAc biosynthesis pathways are not rare.

microbiology↗

Biodegradable Nanoparticle-in-Implant Platform for Sustained and Light-Boosted Pirfenidone Delivery

Vocal fold (VF) fibrosis is a major cause of persistent dysphonia due to excessive extracellular matrix deposition and tissue stiffening that disrupt normal vocal fold vibration. Current treatment approaches are limited by the need for repeated local injections and inadequate long-term therapeutic control. Pirfenidone (PFD), an FDA-approved antifibrotic agent, has demonstrated potential for reducing fibrosis; however, its short half-life and systemic adverse effects limit conventional administration strategies. In this study, we developed a sustained and near-infrared (NIR)-responsive local delivery platform by integrating PFD-loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles into biodegradable PLGA implants for dose-controllable antifibrotic delivery. PFD-loaded PLGA nanoparticles were fabricated using an oil-in-water emulsion solvent evaporation method and characterized by dynamic light scattering (DLS), transmission electron microscopy (TEM), and scanning electron microscopy (SEM). Nanoparticles with small, medium, and large hydrodynamic diameters were generated to evaluate the effect of particle size on release behavior. Gold nanorods (AuNRs) were incorporated to enable photothermal NIR-triggered release enhancement. The nanoparticles were subsequently loaded into non-porous PLGA (90:10) implants and evaluated for long-term in vitro release under physiological conditions with and without pulsed 1064 nm laser irradiation. The nanoparticle-loaded implants demonstrated sustained PFD release for over 190 days with minimal initial burst release (<2.5%). NIR irradiation enhanced PFD release compared with non-irradiated controls across all nanoparticle sizes. Smaller nanoparticles produced greater cumulative release than medium and large nanoparticles due to shorter diffusion pathways and larger surface-area-to-volume ratios. Prior to implant fracture, cumulative PFD release reached approximately 20.2%, 14.8%, and 12.3% of total loading for small, medium, and large nanoparticle groups under 2-min irradiation conditions, respectively. Dialysis membrane studies further demonstrated that the PLGA capsule acted as an additional diffusion barrier that substantially prolonged release compared with nanoparticles alone. Overall, this study demonstrates a hybrid nanoparticle-in-implant strategy capable of providing sustained and irradiation-enhanced local PFD delivery with tunable release characteristics. These findings support the potential of biodegradable, dose-controllable implant systems for long-term management of vocal fold fibrosis while reducing the need for repeated interventions.

bioengineering↗

Holotomography reveals biophysical remodeling of mouse oocytes during post-ovulatory aging

Routine assessment of oocyte state in reproductive biology and clinical embryology still relies largely on two-dimensional transmitted-light morphology, leaving the underlying three-dimensional intracellular organization largely unmeasured. Here, we use holotomography to reconstruct volumetric refractive index (RI) distributions in unlabeled live mouse oocytes and combine this imaging with sparse-annotation, AI-assisted compartment segmentation and multidimensional feature extraction across geometry, RI statistics, dry-mass density, and intracellular texture. Applied to an in vitro model of post-ovulatory aging, holotomography-derived biophysical profiles separated fresh and aged oocytes more strongly than two-dimensional brightfield-derived features, and feature-family ablation indicated that non-morphological descriptors contributed substantially to this separation. At the population level, aged oocytes showed coordinated ooplasmic remodeling, including reduced volume, increased RI heterogeneity, and increased dry-mass density while total dry mass was broadly conserved. These findings demonstrate a label-free quantitative framework for detecting post-ovulatory aging-associated biophysical remodeling in intact mammalian oocytes. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=167 SRC="FIGDIR/small/733271v1_ufig1.gif" ALT="Figure 1"> View larger version (89K): org.highwire.dtl.DTLVardef@c7257aorg.highwire.dtl.DTLVardef@6d92f0org.highwire.dtl.DTLVardef@1c9f7eborg.highwire.dtl.DTLVardef@b36637_HPS_FORMAT_FIGEXP M_FIG C_FIG

Developmental Biology↗

Label-free quantitative 3D mapping of collagen architecture by holotomography

Fibrillar collagen architecture regulates tissue mechanics and cell-matrix interactions, but following how collagen-rich matrices assemble and remodel in three dimensions requires non-destructive measurements that can link structure to matrix-associated mass without exogenous labels. Here we present holotomography (HT) as a label-free platform for volumetric imaging and quantitative profiling of reconstituted fibrillar collagen. Volumetric RI tomograms resolved fibrillar collagen networks without exogenous labels, and co-registration with second-harmonic generation (SHG) microscopy supported the correspondence between HT-resolved RI structures and SHG-positive fibrillar collagen. Curvelet-transform-based segmentation of representative axial sections converted the tomograms into fiber-level descriptors, including morphology, orientation and RI-derived fiber-associated dry mass. At the matched 0.8 mg/mL condition, HT resolved distinct network organization, with type I forming thicker, more sparsely distributed fibers and type III a finer, denser network, while mean fiber-associated RI remained comparable between subtypes. Across the concentration series, type I showed stronger increases in fiber width and RI-derived mass, whereas type III remained comparatively fine. Time-lapse HT further captured RI dynamics during type I fibrillogenesis and visualized local cell-matrix reorganization in HT1080 cell-embedded gels, capturing cells and surrounding matrix in a single label-free measurement. Together, these results position HT as a complementary label-free approach for volumetric visualization and RI-based quantification of collagen-rich extracellular matrices.

cell biology↗

Conserved principles of central carbon partitioning in Hippo-Yorkie-driven Drosophila gut tumors

Central carbon metabolism undergoes extensive remodeling in cancers, yet the extent to which the resulting network architectures and operating principles are conserved across species and oncogenic contexts in vivo remains unclear. Here, central carbon metabolism was evaluated in Hippo/Yki-driven Drosophila gut tumors, as Hippo-YAP/TAZ signaling links nutritional cues to metabolic state and contributes to epithelial tumorigenesis and therapy resistance. Using integrated steady-state metabolomics, transcriptomics and [U-13C6]glucose tracing, we defined how Hippo pathway activation reorganizes nutrient utilization and carbon flux in vivo and assessed how the resulting Yki-driven metabolic network aligns with mammalian cancer metabolism. Yki tumors exhibited a Warburg-like state with increased glycolytic throughput and enhanced conversion of glucose-derived carbon to lactate, accompanied by transcriptional upregulation of key glycolytic and lactate-production enzymes. Glucose carbon was also redirected into redox-supporting and anabolic nodes, including activation of the glycerol-3-phosphate shuttle and increased labeling of alanine and serine. Mitochondrial metabolism was reorganized into a non-canonical, segmented TCA network centered on -ketoglutarate, which accumulated and acted as a drain into glutamate/glutamine and 2-hydroxyglutarate rather than supporting complete oxidative turnover. Despite reduced abundance of pentose phosphate intermediates, non-oxidative PPP carbon rearrangements and ribose labeling were maintained, enabling robust glucose contribution to pyrimidine nucleotide pools, including strongly labeled dTTP. Together, these data establish a comprehensive map of Yki-driven central carbon partitioning in vivo and highlight conserved principles of tumor carbon allocation shared across oncogenic contexts and mammalian cancer metabolism.

cancer biology↗

Croconium Dye Thermosensitive Liposomes for Light Activated Drug Release

This study investigates a novel light-activated drug delivery system designed to produce on-demand drug release. The light-activated system was developed by incorporating a photostable photothermal agent, croconium dye, into liposomes to enable thermally triggered drug release. The drug release from the liposomes was determined at three powers of 210, 295, and 380 mW under 0-, 1-, and 2-minute light irradiation. A continuous wave 808 nm laser was used as the light source. Dexamethasone sodium phosphate (DSP) released from the liposomes was tunable depending on the power and irradiation time with a range of 1 -19 g released depending on irradiation power and time. For local temperature measurement during the photothermal activation, polymerized 10, 12 - Pentacosadiynoic acid (PCDA) was incorporated in the lipid bilayer. Under heating polymerized PCDA undergoes a transition into a red phase from a blue phase. Utilizing the spectrum changes under known temperatures a regression model was developed to calculate the local temperature of the liposomes under irradiation. The ability of the liposomes to release DSP under irradiation in the presence of a phantom tissue was tested under different attenuation coefficients to match various common biological tissues. The liposomes were still able to release DSP in the presence of tissue phantoms for a certain thickness of the tissue. Finally, the cytotoxicity of the liposomes with the croconium dye for chemical and thermal toxicity was determined. The liposomes displayed good biocompatibility with Human Microvascular Endothelial Cell line-1 (HMEC-1). The results support the use of croconium dye as a potential alternative to commonly photothermal agents used in drug delivery such as metal nanoparticles. Future work will focus on optimization of absorbance spectrum for drug release, and in vivo studies for efficacy and safety.

bioengineering↗

Deep Learning-Guided Holotomography Reveals Early Structural Remodelling During Pluripotency Exit

Real-time assessment of human pluripotent stem cell (hPSC) quality is critical for reproducibility and safety in regenerative medicine, yet current methods are invasive, labor-intensive, or highly operator-dependent. We present DeepHOPE (Deep-learning-guided Holotomography for Pluripotency Evaluation), a non-invasive, automatizable, and statistics-driven platform that integrates three-dimensional (3D) refractive index imaging with deep learning to assess pluripotency. DeepHOPE performs robustly across diverse contexts, including germ-layer differentiation, retinoic acid-induced differentiation, and mid-reprogramming cultures, enabling streamlined cell production workflows and improving the efficiency of midbrain dopaminergic neuron differentiation through informed colony selection. Mechanistically, DeepHOPE detects minute colony-scale topological changes that precede molecular loss of pluripotency. These early changes are associated with rapid F-actin remodeling, including apical-to-basal redistribution during early differentiation. Consistent with a functional role for cytoskeletal regulation in state transitions, sustained reduction of actomyosin tension decreases pluripotency, identifying cytoskeletal dynamics as an upstream determinant of early pluripotency exit. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/720508v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@1d73508org.highwire.dtl.DTLVardef@1dab29aorg.highwire.dtl.DTLVardef@1039f76org.highwire.dtl.DTLVardef@da29a1_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

Parallel processing chains span cytoarchitectures to organize association cortex

Task fMRI1 and electrophysiology2 have revealed distributed, linked cortical patches with shared category preferences (e.g., faces, objects, places)1,3-5, smaller than cytoarchitectonic areas. Resting-state functional connectivity (RSFC) similarly showed that somato-cognitive action network (SCAN) nodes interleave with effectors (foot, hand, mouth), subdividing the precentral gyrus6. Here, using multiple precision functional mapping (PFM) modalities (RSFC, task, lags), we discovered that most of association cortex is organized like face processing and SCAN, with small, discrete patches interconnected into chains. Such patch-chains densely tile prefrontal cortex but are largely absent from primary cortex. Cortico-striatal connectivity is organized such that patches of the same chain connect to the same striatal location. Within chains, infra-slow fMRI signals are ordered in time. RSFC-defined chains align with task fMRI localizers (e.g., visual, motor, pain). Chains are absent at birth and emerge in the first year of life, suggesting their formation is at least partially experience-driven. Cytoarchitectonic areas are subdivided by patches, and patches in the same chain are distributed across different cytoarchitectures. Chains represent parallel ordered processing streams that are separated by information domain and behavioral goals, not cytoarchitectonics. Functional subdivision of architectonics into smaller patches, interlinked to form cross-architecture chains, enable greater parallelization and flexible specialization of processing.

neuroscience↗