Biology subjects

Ye, T.

Publications and source records attributed to Ye, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Satellite cell glucocorticoid receptor restrains myogenic commitment without mediating the effects of therapeutic glucocorticoids on muscle repair

Glucocorticoids (GCs) exert profound effects on skeletal muscle, but the contribution of satellite cell (SatC) glucocorticoid receptor (GR) signaling to muscle regeneration remains poorly understood. Here, we investigated the role of GR in SatC homeostasis and assessed whether SatC GR mediates the effects of therapeutic GCs on muscle repair. Conditional deletion of GR in SatC reduced the number of PAX7-positive cells during regeneration in young mice, but did not substantially impair muscle repair in either young or aged animals. Transcriptomic and chromatin profiling revealed that GR occupies genes involved in stem cell fate and developmental signaling, with extensive GR binding already established in quiescent SatC. GR-deficient quiescent SatC showed reduced expression of Yap1, Runx1 and Foxo1, together with increased Myog expression. Similarly, GR silencing in human myoblasts induced early myogenic differentiation markers without affecting proliferation, supporting a conserved role for GR in restraining myogenic commitment. We next examined the effects of two therapeutic GCs on muscle regeneration. Chronic prednisone treatment altered the transcriptional landscape of regenerating muscle in an age-dependent manner, without substantially affecting histological repair. In contrast, dexamethasone administration during the early inflammatory phase delayed regeneration, with persistent necrosis and increased collagen deposition. These effects were comparable in control and SatC-specific GR-deficient mice, indicating that they do not require GR in SatC. Together, these findings identify GR as a regulator of the quiescent, undifferentiated state of SatC, while showing that the effects of therapeutic GCs on muscle repair are largely independent of SatC GR. They further highlight the importance of treatment regimen and physiological context in determining the effects of GCs on skeletal muscle regeneration.

physiology↗

bioRxiv2026

A brain signature of vaping cue-elicited craving

E-cigarette use among young adults has grown rapidly, raising concerns about nicotine dependence and motivating a better understanding of the neurobiology of vaping. We used a cue-induced craving fMRI paradigm to develop and evaluate a brain signature of vaping cue-elicited craving, and to compare it with smoking- and food-craving signatures developed using the same analytic pipeline. Using LASSO-PCR with leave-one-subject-out cross-validation, we identified a distributed pattern of brain activity that reliably predicted normative vaping craving from an independent sample (hereafter, normative craving). The vaping-craving signature was also substantially distinct from smoking- and food-craving signatures, both spatially and functionally, and showed specificity relative to previously established craving signatures. Moreover, greater signature expression was associated with greater e-cigarette dependence severity and showed a positive, though modest, prospective association with daily puff counts over four weeks, demonstrating the signature's behavioral and clinical relevance. Together, these findings establish a cross-validated brain signature of vaping cue-elicited craving, demonstrate its differentiation from other craving-related neural patterns, and link its expression to e-cigarette dependence and real-world use. More broadly, they support the potential of this framework for developing reproducible neural markers of craving.

neuroscience↗

bioRxiv2026

MINT infers the latent single-cell spatial transcriptome from paired histology

Sequencing-based spatial transcriptomics captures transcriptome-wide molecular information, yet the corresponding cell-resolved tissue map remains incomplete. Histology records dense cellular morphology, tissue architecture and local context. Here, we present MINT (Morphological Integrative Network for Transcriptomics), which combines this latent cellular organisation with sample-specific spatial measurements to infer tissue-wide, cell-resolved transcriptomes without an external single-cell reference. MINT reconstructs expression from sparse Slide-tags profiles across unmatched adjacent sections; its shared nucleus-centred representation also resolves pooled Visium measurements into cell-level profiles. MINT improved Slide-tags alignment and expression recovery under controlled nuclear loss and cross-section perturbation. It also outperformed reference-free Visium disaggregation methods against Xenium ground truth and was validated with Visium HD sequencing. In human lung adenocarcinoma, MINT reconstructed the tumour immune microenvironment cell by cell and resolved tertiary lymphoid structures and their maturity. These results establish paired histology as a quantitative, sample-intrinsic complement to molecularly rich but cellularly incomplete spatial-transcriptomic assays.

bioinformatics↗

bioRxiv2026

Androgen Receptor mediates beige adipocyte homeostasis and plasticity

Male adipose tissue undergoes profound post-pubertal remodeling characterized by the progressive transition of beige adipocytes toward a white adipocyte phenotype. Although androgen signaling has been implicated in adipose tissue biology, its role in beige adipocyte remodeling and metabolic plasticity remains poorly understood. Here we show that androgen receptor (AR) signaling is dynamically activated in inguinal white adipose tissue during the post-pubertal beige-to-white transition in male mice. Inducible deletion of AR in beige adipocytes impaired this remodeling process, resulting in the persistence of multilocular beige-like adipocytes despite reduced thermogenic competence and marked mitochondrial abnormalities. Transcriptomic and cistromic analyses identified AR as a direct regulator of adipocyte metabolic and differentiation programs, whereas immune-related transcriptional signatures in AR-deficient adipose tissue primarily reflected macrophage infiltration and inflammatory remodeling. Loss of AR promoted mitochondrial dysfunction, mitophagy, and altered glucose handling, while cell-autonomous AR silencing in beige adipocytes recapitulated key defects in mitochondrial organization and adipocyte identity. Longitudinal and metabolic challenge studies further demonstrated that AR signaling is required for age-associated adipose remodeling and adaptive beige adipocyte plasticity during high-fat diet feeding and cold exposure. Together, these findings identify AR as a central regulator of beige adipocyte remodeling, mitochondrial homeostasis, and adaptive metabolic function in male adipose tissue.

physiology↗

bioRxiv2026

Comparison of cell-cycle gene expression dynamics and mRNA kinetics across mouse and human pluripotent systems

Cell-cycle remodeling is fundamental to pluripotency and lineage commitment, yet whether its transcriptional and post-transcriptional architecture is conserved across species and developmental states has remained unresolved. Here we introduce Ciclopes, a biology-informed deep-learning framework that resolves continuous cell-cycle phase and phase-dependent mRNA transcription and degradation directly from single-cell RNA sequencing. Applying Ciclopes across six mouse and human pluripotent stem-cell systems spanning naive and primed states, we uncover striking divergence in transcriptional complexity and oscillatory control: mouse systems sustain elevated baseline expression of core cell-cycle regulators, while human systems trade higher baseline expression for larger oscillatory amplitude. Strikingly, mRNA degradation timing remain far more conserved across systems than transcription timing, exposing post-transcriptional regulation as a stable evolutionary backbone. As human iPSCs differentiate into definitive endoderm, cells progressively exit the cell cycle, cell-cycle-coupled gene networks contract, and surviving regulators oscillate with larger amplitude. Ciclopes establishes a general framework for dissecting how pluripotent cells tune proliferation across evolutionary and developmental transitions.

systems biology↗

bioRxiv2026

A Context-Conditional Audit of Trial-Pairing-Dependent Neural Gain in Motor-Cortex Decoding

ObjectiveNeural-only decoding performance does not identify how much prediction neural history adds beyond task structure or recent output. We tested how this increment changes when context and temporal information boundaries are made explicit. ApproachWe defined context-conditional neural gain as held-out error reduction from adding context-residualized neural history to a context model. Fully nested, whole-trial cross-fitting excluded predicted trials from nuisance preprocessing, fitting, and selection. Trial replacement tested reliance on correct neural-behavioral pairing. Matched-seed calibration and linear and nonlinear sensitivities accompanied two Neural Latents Benchmark datasets, nine paired LINK dates (18 development sessions), and 20 prespecified untouched LINK sessions from the same macaque. Main resultsIn LINK, fixed neural-only R2 near 0.31 coexisted with gains of 0.3012/0.3125 beyond phase, 0.0193/0.0209 beyond geometry by phase, and 0.0077/0.0098 beyond that context plus measured-output history for center-out/random-target tasks. Fully nested analysis retained positive means for two neural feature definitions; replacement made all four negative. Geometry-conditional spiking-band-power gain reduced context-model mean squared error by 4.92%. In the untouched sample, geometry-conditional gain was positive in 20/20 sessions (mean 0.02158), contracted to 0.00755 with measured-output history, and exceeded replacement in 20/20. MC_Maze showed gain 0.00051 beyond a strong template, whereas MC_RTT retained 0.06846 beyond lag-matched cursor history. Three prespecified nonlinear-neural random-feature maps preserved this contrast while changing magnitudes. SignificanceUnder the tested specifications, neural gain depended on context, information availability, and model family, and the residual correction depended on correct trial pairing. Neural-decoding reports should therefore state the outcome, context, temporal boundary, model class, grouped validation, and pairing control. The audit is predictive and model-relative, not causal.

neuroscience↗

bioRxiv2026

Single-cell multiomic mapping of genetic predisposition to childhood B-cell acute lymphoblastic leukemia

Inherited genetic variation substantially increases the risk for developing childhood B-cell acute lymphoblastic leukemia (B-ALL), the most common cancer in children, yet the underlying mechanisms remain poorly understood. To address this limitation, we employ a single-cell multiomic framework to functionally dissect common regulatory variants associated with B-ALL risk. Coupling this multiomic analysis with assessment of allelic skews in chromatin accessibility, we reveal the impact of risk alleles and disruptions in transcription factor networks specific to B-cell progenitors, thereby providing mechanistic insights into altered regulatory programs underlying B-ALL predisposition. By constructing long-range variant-to-target gene maps, we identify 34 high-confidence B-ALL susceptibility genes. Among these, we uncover and functionally validate a risk allele that selectively upregulates expression of ELK3, a previously unrecognized regulator of B-cell development and leukemogenesis. Together, these findings establish a comprehensive variant-to-function map of cell state-specific regulatory disruptions underlying inherited predisposition to B-ALL and define new risk mechanisms, which could pave the way for future targeted prevention approaches.

cancer biology↗

bioRxiv2026

A CRISPR/Cas9-induced blunt-end telomere system in S. pombe reveals RNase H2-dependent RNA primer removal at the terminal Okazaki fragment of lagging telomeres

Studying the fine-scale dynamics of telomere replication has been hindered by the heterogeneity of native telomeres and the limitations of existing tools. Here, we report a highly efficient and inducible CRISPR/Cas9-mediated system for generating de novo telomeres with defined blunt ends in S. pombe. This fine setting allows for the precise dissection of post-replicative telomere end structures at near single-nucleotide resolution. Using this system, we show that the replicated leading-strand telomere is blunt-ended, while the lagging-strand counterpart contains a [~]10-nt 3 overhang resulting from RNA primer removal. By analyzing mutants deficient in ribonucleases, we found that the removal of this terminal RNA primer is specifically dependent on RNase H2, but not RNase H1. This RNase H2-dependent mechanism is essential for defining the mature structure of the lagging-strand telomere with authentic telomeric sequences. Our findings reveal a fundamental asymmetry in telomere end processing after replication and establish RNase H2 as the key enzyme responsible for resolving the terminal RNA primer in lagging-strand telomeres. This mechanism, conserved from budding to fission yeast, underscores the critical and evolutionarily ancient role of RNase H2 in defining eukaryotic telomere architecture. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/738813v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1991a5eorg.highwire.dtl.DTLVardef@924467org.highwire.dtl.DTLVardef@c8f39eorg.highwire.dtl.DTLVardef@f240d7_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2026

Interdependent androgen and glucocorticoid receptor signalling shapes prostate epithelial homeostasis

Androgen signalling is essential for prostate secretory functions and epithelial cell maintenance, yet how this signal is translated into a transcriptional output remains poorly understood. Androgens functions are primarily mediated by the androgen receptor (AR), which binds hormone response elements similar to those of other steroid receptors, including the glucocorticoid receptor (GR). Here we show that AR and GR are co-expressed in the prostate epithelium, and co-located within nuclear foci. Moreover, GR promotes the formation and dynamics of AR nuclear condensates, and heterodimerizes with AR in a ligand-binding domain-dependent manner. In addition, subtle variations within the hormone response element sequence direct the co-recruitment of AR and GR into activator or repressor complexes to activate or repress gene expression. Finally, prostate-specific deletion of GR in mice disrupts AR nuclear distribution, impairs AR-dependent gene networks involved in epithelial maintenance, and promotes the expression of genes involved in metabolism and cell cycle, resulting in altered tissue homeostasis. Thus, these findings identify GR as an integral component of the AR transcriptional machinery in epithelial cells of the healthy prostate, and reveal how shared cis-regulatory elements are interpreted to generate distinct transcriptional outcomes.

cell biology↗

bioRxiv2026

Mapping genetic risk mechanisms for immune-mediated diseases across human dendritic cell differentiation

Defining the cell types and mechanisms through which genetic variation operates is essential to understand the biological basis of disease. Although human dendritic cells (DCs) are crucial in regulating immunity, their rarity and limitations in available genomic data have hampered efforts to link inherited disease risk to specific DC subsets. Here, we present a single-cell multi-omic atlas of human DC differentiation from hematopoietic stem and progenitor cells (HSPCs) that includes chromatin accessibility and transcriptomic profiles to infer regulatory networks across DC subsets. By integrating this regulatory architecture with fine-mapped variants from hundreds of complex-trait genome-wide association studies, we systematically map inflammatory, autoimmune, and oncologic disease risk to DC subset-specific variant-to-gene mechanisms. For example, we identify a risk-associated variant that enhances the activity of a PLD4 regulatory element in plasmacytoid DCs, thereby increasing the risk of developing systemic lupus erythematosus and other immune disorders. Collectively, these findings enable a deeper understanding of how complex immune diseases can emerge due to the impact of genetic variation acting in specific DC subsets.

genetics↗

bioRxiv2026

Mouse behavioral genomics identifies Creld1 as a gatekeeper of somatosensation

Somatosensation enables the perception of touch, temperature, pain, and itch. These sensory modalities are mediated by primary sensory neurons in the dorsal root ganglion (DRG), which convert physical and chemical stimuli into electrical signals using specialized molecular sensors, including the touch sensor PIEZO2 (Ref1,2) and temperature sensors such as TRPV1 (Ref3,4), coupled with downstream voltage-gated sodium channels (Nav) like Nav1.7 (Ref5,6). However, the full repertoire of molecular components involved in somatosensory processing remains incompletely identified. Here, we developed an efficient postnatal CRISPR-Cas9 knockout platform to screen DRG-expressed genes via AAV9-sgRNA delivery. Combining this approach with behavioral assays of somatosensory responses, we validated the roles of PIEZO2 and TRPV1 in sensing gentle touch and noxious heat, respectively, and the broad involvement of Nav1.7 in distinct somatosensory modalities. Remarkably, a targeted screen of 20 DRG-expressed genes identified the Cysteine-rich with EGF-like domains 1 (Creld1) as a master regulator of somatosensation. Either sgRNA-mediated postnatal knockout or tamoxifen-induced Cre-mediated deletion of Creld1 in DRG neurons resulted in profound behavioral deficits in touch, temperature, pain, and itch perception, while its overexpression enhanced touch and thermal responses. Mechanistically, Creld1 functions as a novel auxiliary regulator of Nav for controlling the excitability of DRG neurons. The biochemical interaction and functional modulation of Nav by mouse Creld1 are mediated via its C-terminal transmembrane region. Notably, this domain is conserved in mouse Creld1 and some isoforms of human CRELD1, resulting in an isoform-dependent regulation of Nav1.7. Together, this work establishes a robust postnatal screening platform for somatosensory genomics and identifies Creld1 as a master regulator of somatosensory function, and provides novel therapeutic strategy for pain and itch treatment.

neuroscience↗

bioRxiv2026

Epigenome editing of human hematopoietic stem cells enables sustained and reversible thrombosis prevention

Thrombosis remains a major cause of cardiovascular and cerebrovascular diseases, driven in large part by platelet activation and aggregation. Because platelets are continuously produced from hematopoietic stem cells (HSCs), durable reprogramming of HSC output offers a unique opportunity for a one-time antithrombotic intervention. Here, we show that DNA methylation-based epigenome editors delivered transiently as RNA result in stable, heritable gene silencing in primary human HSCs that persists through long-term self-renewal and megakaryocytic differentiation, while remaining reversible through targeted demethylation. Targeting the platelet integrin {beta}3 (ITGB3), this approach achieves robust, sustained repression and yields platelets with impaired aggregation. Extending this framework to additional genetically-nominated platelet targets establishes HSC epigenome editing as a durable and reversible strategy to modulate thrombotic risk and highlights broader opportunities to engineer hematopoiesis.

genomics↗

bioRxiv2026

TRPV4 Inhibition by a Natural Product Mediates Analgesia

The transient receptor potential vanilloid 4 (TRPV4) channel, a polymodal calcium-permeable cation channel, is activated by diverse stimuli, including hyposmolarity, moderate heat, mechanical stress, and acidic pH. TRPV4 plays a critical role in the onset and progression of pain and is implicated in multiple pathological conditions, positioning it as an attractive therapeutic target. However, the development of TRPV4-targeted therapeutics has been hindered by limited mechanistic understanding of its inhibition. Here, the natural product (R)-1-(3-ethylphenyl)ethane-1,2-diol (AH001) is identified as a potent, subtype-selective TRPV4 inhibitor. A potential gating mechanism of TRPV4 inhibition is proposed through a combination of structural analyses and site-directed mutagenesis. Electrophysiological studies and cryo-electron microscopy (cryo-EM) further reveal that AH001s glucuronide metabolite, AHP, retains robust TRPV4 inhibitory activity, providing a critical structural basis for rational optimization of AH001 as a lead compound. Notably, AH001 demonstrated significant efficacy in reducing neuronal hyperexcitability in dorsal root ganglia (DRGs) and produced pronounced analgesic effects across multiple pain models, highlighting its therapeutic potential in pain relief. This study offers critical structural and mechanistic insights into TRPV4 inhibition and lays the groundwork for the structure-based design of TRPV4-targeted therapeutics.

biochemistry↗

bioRxiv2025

Multi-modal, multi-species, and multi-task latent-space model for decoding level of consciousness

Assessing the degree and characteristics of consciousness is central to caring for patients with Disorders of Consciousness (DoC), yet current standard of care is a bedside questionnaire. Using a laminar neural probe we introduce a self-supervised, multi-modal representation learning approach that constructs an interpretable 2-D latent space of brain state from continuous neural recordings. We jointly encode local field potentials (LFPs), single-unit firing rates, and a movement proxy into a time-aware autoregressive VAE (TN-VAE). In rats, pigs and humans undergoing controlled depth anesthesia experiments, the learned latent trajectories nonlinearly, but smoothly, separate four expert-defined states (awake, light, moderate, deep) at 2s resolution, exceeding the temporal granularity of behavioral scoring (15m). The latent space supports linear readout of both coarse state and individual behavioral components, and its axes align with known physiology: delta/alpha power differentiates unconscious sub-states, while gamma and unit firing distinguish wakefulness. To enable cross-species use and incomplete modality sets, we add lightweight, species-specific stitching layers. This model pretrained on tri-modal rat data and fine-tuned with unimodal (LFP) pig data and unimodal human intraoperative data, successfully separates awake versus anesthetized states in new unseen human subjects, demonstrating zero-shot multi-subject transfer without per-patient calibration. The model further generalizes in a multi-task manner to predict the results of additional stimuli. These results highlight a path toward a foundation model for DoC that generalizes across sessions, subjects, species, and stimuli to enable scalable, continuous brain-state monitoring and clinical decision support.

neuroscience↗

bioRxiv2025

Dual Transcriptional Drivers of Immune Suppression in SACC: NOTCH1 for Cellular and MYB for Humoral Immunity

As a classic immune-"cold" tumor, salivary adenoid cystic carcinoma (SACC) represents a significant clinical challenge. Through sequencing analyses, we identify profound systemic immune dysregulation in SACC, characterized by suppressed hematopoiesis, T-cell exhaustion, compensatory myelopoiesis, and an expanded immature B-cell compartment. While lung metastases exhibit a relatively immune-engaged microenvironment enriched in tissue-resident T cells, these sites remain dominated by immature B cells. Mechanistically, this hematopoietic dysfunction originates from direct disruption of tumor-derived signaling entering the circulation, supported by detection of the SACC-signature MYB-NFIB fusion gene in peripheral plasma and blood cells. At the molecular level, we discover that IL17RB/OLIG1/NOTCH1 signaling pathways engage in multicellular crosstalk via IL33 or TP53 to suppress T-cell activation in primary tumors. Moreover, at lung metastatic sites, the MYB/MYBL2-NOTCH1-CXCL13-CXCR5 axis is blocked through CD24 or IL17RB, thereby inhibiting B-cell maturation. Single-cell transcriptomic profiling further identifies cancer stem cells (CSCs) exhibiting dual characteristics of cell-cycle activity and immune progenitor features, a finding that clarifies the fundamental mechanism by which these cells evade immune surveillance. In conclusion, we propose that stem cell camouflage constitutes the core mechanism underlying bone marrow hematopoietic dysfunction and drives immune evasion in SACC. These findings highlight the IL17RB-NOTCH1 signaling axis as a promising therapeutic target, offering potential to overcome the long-standing challenges associated with NOTCH1-targeted therapies in this malignancy. SignificanceOur novel transcriptomic analysis revealed a key G2M/CLP dual-progenitor state in SACC immunocold tumors. Tracing its origin to hematopoietic differentiation, we uncovered a NOTCH1-mediated dual-hit mechanism: restricting antigen presentation to silence T cells while partnering with MYB to block B-cell maturation. This finding pinpoints a root cause of immune evasion and establishes this pathway as a central therapeutic target. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/688163v2_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@18c22a2org.highwire.dtl.DTLVardef@135e381org.highwire.dtl.DTLVardef@eb4eadorg.highwire.dtl.DTLVardef@7a51c4_HPS_FORMAT_FIGEXP M_FIG C_FIG Dichotomous gene mapping and single-cell interactome reveal the microenvironmental specificity of NOTCH1/MYB regulation of T/B-cell differentiation and its distinct signaling flows.

immunology↗

bioRxiv2025

Sex differences in task engagement and lapse rate during reward learning plateaus

Our understanding of sex differences in reward learning has been limited due to the predominant study of males. Here, we evaluated sex differences in flexible learning in two domains: the learning of stimulus-and action-based associations and their reversals. During action-based learning, rats selected between two identical visual stimuli presented on a touchscreen, where the spatial location predicted a higher probability of reward. For stimulus-based learning, rats chose between two distinct visual stimuli presented in pseudorandom spatial locations, one of which was associated with a higher probability of reward. Reversal phases involved switching reward contingency between the two actions or stimuli. We found that females did not differ in their discrimination or reversal learning accuracy compared to males, yet they collected fewer rewards and were more likely to omit trials than males in both domains. To gain a detailed understanding of differences across conditions, we modeled animals trial-by-trial choices using reinforcement learning (RL) models and examined their steady-state behavior to capture transitions between distinct behavioral states. Although the estimated parameters of the best-fitting RL model revealed some sex differences, the model that incorporated transitions between different behavioral states provided a better overall fit to the data. This model also revealed that across all reversal phases, females exhibited a higher transition-specific lapse rate than males, indicating greater task disengagement once there was no need for further learning. Together, our fine-grained analysis of behavior adds to a growing literature on sex differences in flexible reward learning.

animal behavior and cognition↗

bioRxiv2025

Cohesin Acetylation and ATPase Activity Control Cohesion and Loop Architecture through Distinct Mechanisms

Cohesin is a conserved protein complex that mediates sister chromatid cohesion, chromosome condensation, gene regulation, and DNA repair. These processes rely on cohesins ability to tether sister chromatids and form chromatin loops, which depend on cohesins ATPase activity and Eco1-mediated acetylation of two lysine residues (K112 and K113 in budding yeast) in its Smc3 subunit. How cohesins ATPase activity and acetylation integrate to control cohesin functions remains poorly understood. Here, we analyzed chromatin architecture in yeast mutants with altered cohesin acetylation and/or ATPase activity. We find that acetylation of either K112 or K113 is sufficient to produce a wild-type chromosome structure with loops positioned at cohesin-associated regions (CARs), whereas loss of acetylation at both residues abolishes positioned loops, indicating that acetylation at either lysine alone can maintain wild-type chromatin architecture. We further show that a cohesin acetylation mutant, despite being defective in sister-chromatid tethering and thus failing to establish cohesion, still forms wild-type-like loops, while cohesion-competent mutants lack positioned loops. These results suggest that the activities required for cohesion and loop formation are mechanistically separable, arguing against passive loop capture. Moreover, a mutant with reduced ATPase activity showed a loop profile similar to wild type, indicating that cohesin with lower ATPase activity can still form wild-type chromatin architecture. By contrast, hyper-ATPase mutants accumulate positioned loops, suggesting that increasing ATPase activity can enhance loop processivity. Together, our findings support a multilayered regulatory model in which acetylation fine-tunes ATPase output and cohesin functions to shape genome architecture.

genetics↗

bioRxiv2025

Multiscale 3D whole joint cellular and molecular mapping dissects the relationship between structure and pain

Understanding musculoskeletal joints from a 3D multiscale perspective, from molecular to anatomical levels, is essential for resolving the confounding relationships between structure and pain, elucidating the intricate mechanisms regulating joint health and diseases, and developing new treatment strategies. Here, we introduce a musculoskeletal joint immunostaining and clearing (MUSIC) method specifically designed to overcome key challenges of immunostaining and optical clearing of intact joints. Coupled with large-field light sheet microscopy, our approach enables 3D high-resolution, microscale neurovascular mapping within the context of whole-joint anatomy without the need for image coregistration across various joints, including temporomandibular joints, knees, and spines, and multiple species, including mouse, rat, and pig. Our findings reveal 3D heterogeneous distributions of neurovascular networks and previously uncharacterized neurovascular pathways within joints. Using the proteoglycan 4 knockout (Prg4-/-) mouse model of joint degeneration, we identified significant alterations in joint-wide neurovascular architecture, highlighting neurovascular changes along degenerative processes. Furthermore, in a traumatic joint injury mouse model, we observed long-lasting pain behavior and a time-course 3D neurovascular remodeling preceding detectable joint morphological change, bridging microscale alterations with potential pain mechanisms. This platform offers a powerful tool for multiscale 3D analysis, enabling new insights into joint pathophysiology and intricate interplay among joint tissues.

bioengineering↗