Biology subjects

Zhang, Y.

Publications and source records attributed to Zhang, Y..

At least 91 records · Page 5Linked to original sources

bioRxiv2026

Integrating cell-state and enhancer constraints discriminates models of PU.1 regulation during hematopoietic differentiation

Distinct PU.1 levels are associated with progenitor, B-cell, and macrophage states during hematopoietic differentiation. A previous dynamical-systems model attributed these levels to multistability generated by PU.1 autoregulation coupled to feedback between PU.1 abundance and cell-cycle progression, but its predictions were not quantitatively evaluated against the motivating measurements. Here, we test this mechanism using reported measurements of PU.1 abundance, its synthesis rate, and cell-cycle duration, and develop progressively more mechanistic alternatives. The original growth-feedback model neither represents the two reported progenitor groups nor reproduces the nonmonotonic relationship between PU.1 abundance and cell-cycle length. Even with experimentally measured cell-type-specific growth rates, PU.1 autoregulation alone does not reproduce the observed PU.1 abundance and synthesis rates across cell states. Reproducing the cell-state measurements requires an additional cell-state-dependent input to PU.1 production. Guided by enhancer regulation, we model positive feedback between PU.1 and C/EBP and constrain it with reporter measurements, but this architecture cannot jointly reproduce the reporter and cell-state datasets. Adding RUNX1 permits data-consistent stable states when high effective cooperativity in PU.1-dependent C/EBP activation is allowed. Thus, combined dynamical and cis-regulatory constraints support additional regulation of PU.1 production beyond autoregulation, cell-type-specific dilution, and C/EBP feedback. The RUNX1-extended architecture provides one biologically grounded realization and generates experimentally testable hypotheses for differentiation networks.

biophysics↗

bioRxiv2026

Monothiol glutaredoxin DaGrxB couples iron homeostasis with redox balance to orchestrate development and virulence in the peach shoot blight fungus Diaporthe amygdali

Peach shoot blight (PSB), caused by Diaporthe amygdali, is one of the most devastating fungal diseases affecting peach production worldwide. Glutaredoxins (Grxs) are ubiquitous redox-regulatory proteins involved in antioxidant defense and iron metabolism, yet their functions in phytopathogenic fungi remain largely unknown. Here, we identified four Grxs (DaGrxA-DaGrxD) in D. amygdali. Among them, DaGrxB, a monothiol glutaredoxin, is the sole member essential for vegetative growth, asexual reproduction and virulence. DaGrxB interacts with iron-regulatory transcription factors DaHapX and DaSreA and modulates their activities via iron-dependent nucleocytoplasmic shuttling, coordinating iron acquisition and storage gene expression. During infection, D. amygdali encounters a biphasic iron environment: an inherently iron-limited host environment at early stages (1-2 dpi) followed by host-mediated iron excess (3-4 dpi), and DaGrxB is essential for navigating this transition. Consistently, deletion of either DaHAPX or DaSREA significantly reduced virulence, confirming that iron homeostasis is a critical determinant of D. amygdali virulence. Notably, deletion of DaGRXB disrupts Fe-S cluster biosynthesis, causing mitochondrial Fe2+ accumulation, impaired aconitase activity, and reduced ATP production, which triggers constitutive activation of the GSH-dependent antioxidant system, with elevated GSH/GSSG ratios, increased GR and GST activities, and reduced H2O2 levels. Exogenous GSH and H2O2 depletion both reduced virulence, suggesting that disturbed redox balance directly contributes to attenuated virulence. Additionally, the Trx domain assists the Grx domain in nucleocytoplasmic translocation through intramolecular interactions. Finally, LDH-delivered dsRNA targeting DaGRXB effectively controls PSB. Collectively, these findings reveal how a monothiol glutaredoxin integrates iron homeostasis, redox balance and virulence in a plant pathogen, providing a foundation for RNAi-based disease management.

pathology↗

bioRxiv2026

BMP6 coordinates dermal papilla and epithelial cell states for hair follicle engineering and regeneration

Human hair follicle engineering is hindered by the rapid loss of inductive competence in culture-expanded dermal papilla (DP) fibroblasts. Here we show that bone morphogenetic protein 6 (BMP6) maintains and restores DP-associated characteristics while promoting follicular epithelial differentiation by restricting keratinocyte (KC) proliferation and inducing hair follicle-associated marker expression. Human follicle transcriptomics further linked BMP activity to DP identity and follicular epithelial differentiation. Genetic mouse studies demonstrate that BMP6 in Sox2-positive DP cells contributes to normal anagen onset, progression, and maintenance. Gain- and loss-of-function studies in KC-DP organoids show that BMP6 promotes epithelial-mesenchymal organization and spatially patterned follicular structures. In vivo, topical BMP6 promotes anagen onset, whereas BMP6 overexpression restores the hair follicle-generating capacity of late-passage human DP fibroblasts. Together, these findings identify BMP6 as a compartment-dependent regulator that enhances human DP competence and promotes epithelial differentiation, supporting regenerative hair follicle formation and engineering with culture-expanded DP cells.

developmental biology↗

bioRxiv2026

Design-Evolution Synergy Enables New-to-Nature Enzyme Chemistry

Directed evolution and machine-learning-assisted evolution have transformed biocatalysis by enabling rapid optimisation of catalytic performance within compatible protein scaffolds. In parallel, advances in deep-learning-driven de novo protein design have expanded accessible protein architectural space, enabling the generation of functional catalysts for increasingly challenging transformations. We herein report a synergistic design-evolution strategy to encode new-to-nature regio- and enantioselective C-H amination reactions using engineered de novo haemproteins to synthesise chiral piperidines, a privileged pharmacophore in drug discovery. By integrating motif scaffolding, computational re-design, and directed evolution, we demonstrate de novo enzyme design can enable challenging, high-energy-barrier enzyme chemistry with programmable regio- and enantioselectivity, high catalytic efficiency, excellent enzyme stability, and scaffold diversity.

synthetic biology↗

bioRxiv2026

Limitations of differential expression for cell-type marker discovery in single-cell RNA sequencing atlases

Cell-type marker genes are definitional characteristics of a cell type, and in single-cell RNA sequencing atlases they are commonly nominated through differential expression (DE) testing. The Wilcoxon rank-sum test is the default method for marker gene discovery in Seurat and a recommended method in Scanpy, two widely used computational software packages for scRNA-seq analysis. Structurally, Wilcoxon's standardized statistic grows with sample size at a fixed underlying effect, meaning computed rankings across clusters of unequal size are incomparable. We quantified this effect across three atlas datasets - lung, kidney, and brain. Mean Wilcoxon score scaled with log cluster size at Pearson correlation r = 0.90-0.95 in each organ. In contrast, a classification-based comparator, NS-Forest, showed low correlation with cluster size (r = 0.10-0.28). This DE-cluster size relationship remained essentially unchanged after controlling for classification performance through partial correlation, decayed monotonically under cluster size downsampling, and was reproduced in simulation with marker quality fixed. The Wilcoxon rank-sum test can be transformed into a rank-based effect size by normalizing by the target-background pair count, removing the positive size dependence. However, this effect size nominates an identical set of candidate genes as the original statistic, indicating the cluster size dependence and poor specificity of DE nominated genes are separate problems. Genes nominated under default settings were substantially less specific to their target clusters, with median on-target fractions of 0.204 (lung), 0.166 (kidney), and 0.083 (brain), compared to NS-Forest's marker genes (0.580, 0.687, 0.364), revealing the relatively poor specificity that highly scoring DE genes exhibit.

bioinformatics↗

bioRxiv2026

AREION: A Foundation Model for Atlas-Agnostic Representation Learning of Brain Connectome

Brain foundation models have shown promising advances in learning generalizable representations from functional magnetic resonance imaging (fMRI) data. However, existing models are typically tied to specific brain atlases and cannot be applied to fMRI data represented using different atlases without full retraining, thereby severely limiting their broader utility across neuroimaging studies. To address this bottleneck, we introduce AREION, atlas-agnostic representation learning of brain connectomes. AREION overcomes atlas dependency through two integrated innovations. First, a Brain Region Contextualizing technique maps brain regions and connectivity entries from diverse atlases into a unified representation space based on their spatial, functional, and morphological characteristics. Second, a Hierarchical Brain Transformer Encoder processes region-specific connectivity profiles as variable-length token sequences and jointly captures local functional structure and global brain functional organization, conditioned on brain regional context, without assuming a fixed number of regions. Together, these two techniques enable the learning of generalizable representations across brain atlases with different parcellation resolutions and connectivity dimensions. AREION is pretrained on a large-scale multi-atlas cohort of fMRI data via self-supervised modeling and evaluated across diverse downstream tasks. Extensive experiments show that it outperforms strong supervised baselines and fMRI foundation models while using substantially fewer parameters, demonstrating strong transferability to atlases unseen during pretraining, generalization to external datasets, and excellent interpretability at the brain regional level.

neuroscience↗

bioRxiv2026

Multi-omics fine-mapping uncovers a pleiotropic intestinal enhancer variant linking PMAIP1 regulation to pig growth and fatness

Genetic loci influencing multiple complex traits often remain difficult to interpret because the underlying functional variants, target genes and tissue contexts are unresolved. Here, we investigated the regulatory basis of a shared signal for average daily gain (ADG) and backfat thickness (BF) in Yorkshire pigs. By integrating GWAS in 7,972 pigs, targeted capture sequencing, LD-based fine-mapping, porcine epigenomic annotations, three-dimensional chromatin interaction maps and functional assays, we narrowed the shared SSC1 signal to a 1.59-Mb interval and functionally prioritized rs334769214 (T>G) as the leading candidate variant. The T>G substitution produced marked allele-specific differences in enhancer activity and nuclear-protein binding, while transcription-factor co-transfection assays identified FOXL1-responsive, allele-dependent regulatory activity. Chromatin interaction and CRISPRa analyses supported a regulatory connection between the rs334769214-containing enhancer and PMAIP1, and PMAIP1 overexpression promoted apoptosis in porcine intestinal epithelial cells. In the capture-sequenced subset, the G allele was associated with higher ADG and BF, consistent with a relative loss-of-activation model. Together, these findings delineate a candidate FOXL1-enhancer-PMAIP1 regulatory pathway and demonstrate how multi-omics fine-mapping can advance a shared quantitative-trait locus toward a testable molecular mechanism underlying variation in growth and fatness.

genetics↗

bioRxiv2026

CD24-dependent innate immune checkpoint targeting chimera disrupts TGF-β-driven immunosuppression to enhance anti-tumor therapy

The immunosuppressive tumor microenvironment (TME) poses formidable challenges for cancer immunotherapies. Among the complex TME landscape, the cytokine TGF-{beta}1 is an attractive soluble target for reinvigoration of anti-tumor immunity due to its pivotal function in immune cell suppression, extracellular matrix remodeling, and epithelial-to-mesenchymal transition (EMT) promotion, while immune checkpoint receptors exemplified by PD-1 and CD24 are promising surface targets. Though adaptive immune checkpoint inhibition is well established in clinical practice, TGF-{beta} blockade or innate immune checkpoint blockade is yet to be harnessed for tumor treatment. Here, leveraging CD24 overexpression on multiple tumor tissues and its unique recycling kinetics, we designed an innate Immune Checkpoint TArgeting Chimera (ICTAC) G01, a bifunctional CD24 antibody-TGF-{beta}1 receptor fusion protein that disrupts TGF-{beta}1 signaling by TGF-{beta}1 degradation instead of simple blockade and simultaneously inhibits the "don't eat me" CD24 signaling. We demonstrated that G01 effectively suppressed TGF-{beta}1-Smad signaling, reversed the EMT, and attenuated fibrotic collagen deposition. Additionally, it antagonized CD24 signaling to unleash robust antibody-dependent effector activity, further reprogramming the immunologically cold TME toward inflammatory phenotype. By selectively targeting malignant cells while sparing CD24-expressing B cells, G01 demonstrated a favorable safety profile. Notably, in patient-derived tumor fragments (PDTFs), G01 also inflamed the TME, underscoring its translational potential. Together, these results establish ICTAC as an effective strategy for tumor-specific receptor-mediated extracellular protein depletion, which supports its application for reversing TGF-{beta}1; and innate immune checkpoint-mediated tumor immunosuppression by concurrent targeting of both surface and soluble tumor-promoting factors.

immunology↗

bioRxiv2026

Serial dependence in haptic perception during active manual exploration.

Serial dependence, whereby current perception is systematically biased toward the most recent sensory experience, has been demonstrated across multiple sensory modalities. However, whether serial dependence occurs during active haptic perception remains unknown. Moreover, because haptic perception of object geometry depends on hand movements for sensory acquisition (i.e., active touch), it remains unclear whether serial dependence, if any, originates from perceptual processing, movement, or both. Here, we investigated whether active haptic perception exhibits attractive serial dependence using a newly developed haptic device that let participants explore virtual slopes of different heights. Participants reported perceived slope heights, and we recorded their kinematics. Perceptual judgments were systematically attracted toward the most recently experienced slope, demonstrating serial dependence during active haptic perception. By contrast, none of the kinematic parameters exhibited corresponding serial dependence. These findings show that serial dependence extends to the somatosensory perceptual domain and suggest that the observed perceptual bias was not mediated by systematic changes in hand movements.

neuroscience↗

bioRxiv2026

Pair-complete structural gating enables Pareto optimization of de novo cyclic peptides with preserved binding geometry and improved developability

Cyclic peptides can engage extended protein interfaces, but sequence changes that improve developability often disrupt the selected target-bound geometry. Existing property-guided design methods lack a principled way to preserve this geometry during local multiproperty optimization. Here we present RF-PepTune, which separates structural eligibility from property prioritization. Before any property score is queried, RF-PepTune evaluates single substitutions and all position-distinct pairs induced by admitted substitutions to build a parent-specific, pair-complete admission graph. Pareto Monte Carlo tree search then optimizes predicted permeability, solubility, non-fouling, and low-haemolysis scores exclusively within this graph, and selected sequences undergo full structural re-evaluation. In a matched three-arm comparison of 334 parents across MDM2, GABARAP, and MCL1, joint property-structure success rose from 10.2% without admission to 51.5% with single-substitution admission and 77.5% with pair-complete admission; pair-complete gating improved success by 26.0 percentage points over single-substitution gating (95% CI, 20.7-31.4). Property-positive but structure-failing endpoints fell from 88.3% to 9.3%. In a separate target-balanced set, all 90 prioritized outputs improved all four model-native scores while satisfying prespecified structural criteria. This work establishes pairwise structural gating as a general strategy for constrained multi-objective molecular optimization.

bioinformatics↗

bioRxiv2026

Inflammation-induced of Clec18a inhibits immune responses via Trpm7-dependent Cbl activation

Innate immune responses must be tightly controlled to maintain immuno-homeostasis. However, the regulatory mechanisms underlying the activation and early stages of the innate immune response remain poorly defined. Here, we found the soluble C-type lectin Clec18a is up-regulated in multiple inflammatory diseases, including sepsis and influenza, and secreted within minutes upon activation in multiple immune cells, including macrophages, dendritic cells (DCs), and T cells. Clec18a-myeloid-knockout mice exhibited reduced survival and exacerbated inflammation than the wild-type. However, exogenous recombinant Clec18a administration alleviated inflammation both in vitro and in vivo. Mechanistically, we identified macrophage-inducible C-type lectin (Mincle) as the receptor of Clec18a. Clec18a-Mincle binding triggers Trpm7-dependent calcium influx, which activates the ubiquitin E3 ligase Cbl and leads to Mincle-Cbl-MyD88-Trpm7 complex formation and degradation. Cbl deficiency, calcium inhibition and Trpm7 knockdown abrogated Clec18a-mediated immune suppression. Thus, our study revealed Clec18a as a critical checkpoint on the initiation of innate immune response through an intrinsic crosstalk between CLR and TLR signaling.

immunology↗

bioRxiv2026

A tRNA-derived small RNA orchestrates cardioprotection through distinct cell-type-specific mechanisms

Pathological cardiac fibrosis and hypertrophy, key contributors to adverse remodeling that drives heart failure (HF), are not adequately targeted by current therapies. We identified tRNA-Asp-GTC-3'tDR, an ischemia-induced tRNA-derived small RNA (tDR), as an endogenous regulator of both remodeling processes across cardiac fibroblasts and cardiomyocytes. In murine models of myocardial ischemia- and pressure overload-induced HF, cardiac delivery of tRNA-Asp-GTC-3'tDR reduced fibrosis and hypertrophy, preserved cardiac function, and improved survival, with limited three doses conferring durable protection after ischemia, whereas silencing it worsened both. Strikingly, tRNA-Asp-GTC-3'tDR acts through distinct mechanisms in different cell types: in fibroblasts, it assembles stress granules that sequester ribosome-loaded profibrotic transcripts, whereas in cardiomyocytes it engages pseudouridine synthase PUS7 to activate RNA autophagy. Its regulation and functions were confirmed in human cardiac cells and tissues. These findings demonstrate that a single tDR coordinates cell-type-specific protective programs in the heart, suggesting a new therapeutic axis to mitigate HF progression.

cell biology↗

bioRxiv2026

Terminal Modification Reprograms Supramolecular Organization of Integrin Ligand Assemblies to Shape Cell Migration

Precise organization of bioactive ligands at material-cell interfaces is critical for directing integrin-mediated cell behavior, yet tuning supramolecular organization commonly necessitates orchestrated redesign of molecular composition or ligand sequence. Here we establish terminal modification as a minimal, sequence-preserving strategy to reprogram the organization and function of self-assembling integrin ligands. Using FFFIKVAV as a model system, N- and C-terminal modifications generated distinct supramolecular states with markedly different integrin activation and cell migration responses. Notably, stronger intermolecular association did not produce stronger biological activity, as N-terminal acetylation promoted scaffold consolidation while reducing the configurational freedom of the exposed IKVAV ligand and diminishing integrin activation and cell migration. Alongside modulating migration magnitude, terminal chemistry also diversified the cellular programs supporting migration, with the parent peptide and its C-terminally amidated analogue favoring protrusion-dominant and stress-fiber-dominant adhesion-cytoskeletal programs, respectively. These functional states were reproduced when the assemblies were introduced directly to pre-adherent cells, extending their activity beyond preformed material coatings. Our findings identify terminal chemistry as a compact molecular design variable that links supramolecular organization to ligand function while diversifying the biological output of a shared bioactive sequence.

bioengineering↗

bioRxiv2026

An immunosuppression imaging gauge prospectively predicts metastatic progression and immunotherapy resistance in breast cancer

Systemic immunosuppression promotes metastatic progression and immunotherapy resistance, yet reliable biomarkers and noninvasive tools for longitudinal monitoring remain limited. Building on our finding that CXCL1+ neutrophil abundance in major organs inversely correlates with breast cancer-induced systemic immunosuppression, we developed an imaging-based immunosuppression gauge using CXCR2-expressing cells that mimic CXCL1+ neutrophil trafficking. Following intravenous administration, the biodistribution of engineered CXCR2-overexpressing mesenchymal stem cells or healthy donor neutrophils was imaged at 24 h, with greater organ accumulation indicating lower systemic immunosuppression. These living, distributed biosensors integrate chemokine signals across multiple organs and convert host immune status into an imageable biodistribution pattern. The gauge distinguished tumor aggressiveness at early disease stages, predicted metastatic risk before overt metastatic outgrowth, identified chemoimmunotherapy responders, and informed treatment selection through longitudinal immune monitoring. Mechanistically, nonaggressive tumors failed to induce substantial systemic immunosuppression and were effectively controlled by surgery alone, whereas aggressive tumors continued to drive immunosuppression after resection. Neoadjuvant chemoimmunotherapy produced superior outcomes to adjuvant treatment by intervening before profound immunosuppression developed and more effectively restoring antitumor immunity. Across cancer models, long-term survivors consistently showed resolution of systemic immunosuppression and restoration of immune activity to healthy-host levels. Thus, imaging systemic immunosuppression provides an early, longitudinal indicator of metastatic risk, therapeutic response, and treatment efficacy.

immunology↗

bioRxiv2026

Unified modeling of mutation-induced protein stability responses with OmegaTherm

Accurate prediction of mutation-induced protein stability responses, including changes in folding free energy and melting temperature, is critical for protein engineering. Existing models represent these related but non-equivalent measurements separately and often focus on single mutations. Here we present OmegaTherm, a sequence-based framework that jointly learns both stability responses for single and multiple mutations. OmegaTherm introduces a shared protein language model to capture transferable mutation context, measurement-specific encoders to preserve measurement identity, and paired-measurement-informed distillation to learn complementary knowledge from heterogeneous data. An antisymmetric prediction architecture further enforces physical consistency between forward and reverse mutations. Across independent benchmarks, OmegaTherm achieves state-of-the-art performance in quantitative prediction, mutation classification and protein-level ranking. Beyond benchmark prediction, OmegaTherm-derived stability landscapes correlate strongly with fitness landscapes from deep mutational scanning, enrich favorable variants and reveal function-associated mutation-sensitive regions. These results establish unified representation learning as an effective strategy for integrating related but non-equivalent biochemical measurements.

bioinformatics↗

bioRxiv2026

Agentic transcranial functional ultrasound imaging: @fUS

Functional ultrasound (fUS) imaging provides deep, wide-field access to brain function, but instrument cost and complex acquisition and analysis workflows restrict its wider adoption. Here we introduce @fUS, an agentic transcranial imaging platform with an open architecture that integrates purpose-built hardware with executable experimental skills and persistent structured memory. The system combines 128-channel, 16-bit acquisition at 125 MHz with GPU-based processing and enables functional imaging through the intact scalp and skull of mice, with approximately 100-m spatial resolution and 10-Hz temporal sampling, providing a basis for longitudinal studies without cranial-window surgery. Its agent connects scientific objectives to experimental design, direct instrument control and data analysis, retaining context across interactions and supporting inspectable workflows through text and hands-free voice control. Neuroscience trainees with limited engineering experience independently configured the system within 30 min. Agent-assisted exploration of whisker-stimulation datasets revealed low-frequency vascular changes beyond conventional response mapping, supported by complementary two-photon measurements of single-vessel diameter. By combining transcranial imaging with accessible instrument control and analysis, @fUS provides a foundation for wider adoption and larger, more diverse neuroscience datasets. More broadly, it offers a framework for scientific instruments in which measurement, computation and experimental reasoning are developed as parts of the same system.

bioengineering↗

bioRxiv2026

A druggable chromatin vulnerability in suppressive neutrophils restores antitumor immunity

Many cancers evade immunity by converting neutrophils into polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs), but the chromatin mechanisms that maintain this pathological state remain unclear. Here we show that tumor-induced suppressive neutrophils depend on mSWI/SNF chromatin remodeling. Two orally bioavailable mSWI/SNF ATPase antagonists, a degrader and a catalytic inhibitor, produced immune-dependent tumor control across syngeneic models, including tumors resistant to PD-1 blockade, and enhanced checkpoint therapy without overt toxicity. Treatment rapidly depleted intratumoral PMN-MDSCs, restored functional CD8+ T cells, and blocked tumor explant-induced expansion and suppressive activity of mouse and human PMN-MDSCs. mSWI/SNF antagonism collapsed chromatin accessibility and PU.1/C/EBP{beta} occupancy at regulatory elements that sustain PMN-MDSC identity. Thus, suppressive neutrophils harbor a druggable chromatin vulnerability that can be exploited to restore cancer immunity.

cancer biology↗

bioRxiv2026

ctDNA Release Heterogeneity in Luminal Breast Cancer Revealed by Single-Cell Multi-Omics Spatial Analysis

Backgroud Breast cancer is a leading cause of cancer-related mortality, and HR+/HER2-; is the predominant subtype. Molecular pathology, including PIK3CA and ESR1 mutation, informs prognosis and treatment selection. Circulating tumor DNA (ctDNA) offers a non-invasive approach for cancer monitoring, but its clinical utility is limited by tissue plasma discordance, reflecting heterogeneous ctDNA release. The cellular and spatial determinants of this release remain poorly understood, particularly in HR+/HER2-; subtype, where heterogeneity across subclones complicates liquid biopsy interpretation. Results To identify the cellular and spatial determinants of ctDNA release, we developed scMASTER, integrating single-cell transcriptomes and mutations, spatial transcriptomics and matched tumor and plasma DNA sequencing. In ten patients with non-metastatic HR+/HER2- breast cancer, eight recurrent malignant epithelial states showed distinct ctDNA release potential. Antigen-presentation, stress, mitosis and mesenchymal-like states showed high release. PIK3CA and ESR1 mutations were linked to distinct functional states and altered ctDNA detectability. Three spatial architectures, EMT-enriched regions, intraductal luminal progenitors and avascular hypoxic zones, showed high release. Tumor-microenvironment interactions were bidirectional: anti-tumoral immunity correlated with reduced release, whereas immunomodulatory components correlated with increased release. A stratification model based on these features identified high-risk, immunosuppressed patients with poor prognosis, validated across external cohorts. Conclusions Our study establishes a single-cell spatial framework for decoding ctDNA release heterogeneity, linking tumor states, somatic mutations, spatial architecture, and immune interactions to ctDNA release. These findings provide mechanistic insights into tissue-plasma discordance, offer a biological rationale for interpreting ctDNA dynamics, refine patient risk stratification and liquid biopsy-based monitoring in HR+/HER2-; breast cancer.

cancer biology↗