bioRxiv Science⌕ Search

Biology subjects

Zhang, S.

Publications and source records attributed to Zhang, S..

At least 181 records · Page 10Linked to original sources

UBE3C retrofits the proteasome to enforce degradation of ultra-stable folds

Neurodegeneration and proteinopathies arise from mutated or misfolded proteins that form ultra-stable, proteotoxic aggregates that evade proteasomal degradation despite ubiquitylation1-8. These conditions are exacerbated by the deubiquitylase USP14 that can prematurely rescue substrates9-11. To counter these obstacles to effective proteolysis, eukaryotes evolved the highly conserved HECT-type E3 ligase UBE3C--dysregulated in neurodegeneration12,13 and overexpressed in cancers14-17--to reprogram the 26S proteasome toward heightened activity via unknown mechanisms18-25. Here we visualized functional dynamics of the human UBE3C-retrofitted proteasome enforcing degradation of a re-engineered superfolder GFP that normally escapes proteolysis, using time-resolved cryo-electron microscopy. A continuum of non-equilibrium conformations, comprising fourteen proteasome conformers orthogonally combined with four UBE3C states or three USP14 states, reveals a cryptic UBE3C-receptor site in the proteasomal lid and captures key intermediates of ubiquitin-chain elongation and branching at four linkage-specific ubiquitin-binding sites. Remarkably, UBE3C creates an extreme shortcut for ubiquitin shuttling that bypasses USP14, promotes USP14 recycling and allosterically strengthens substrate-unfolding forces of the AAA-ATPase unfoldase to ultimately surmount the unfolding energy barrier of ultra-stable proteins. These findings define the complete functional cycle of the UBE3C-reprogrammed proteasome, illuminating how UBE3C simultaneously controls USP14 and the proteasome to enforce clearance of ultra-stable folds, and establish crucial mechanistic foundations for proteolysis-targeting therapeutic discovery.

biochemistry↗

Universal physical principles govern the deterministic genesis of protein structure

Protein structure is usually treated as the endpoint of sequence by most AI models, yet its true biological emergence is a process of ordered change, whose logic remains hidden in opaque black box. ProtGenesis creates a bidirectional mirror world: it maps amino acid assembly, elongation and mutation in biological space into quantitative trajectories and ensembles in protein language model representation space, then translates spatial geometry into testable biophysical hypotheses. Across peptides, reporter proteins and protein families, three universal general principles emerged: hierarchical directional assembly (Principle I), quantitative and reproducible structural-emergence trajectories (Principle II) and discrete topological transitions (Principle III) from short- to long-range order. Three novel metrics of spatial features [D,{rho} ,{delta} ], complemented by squared Gaussian Wasserstein-2 measures, located structural anchors, sensitive regions and state transitions, enabling split-protein engineering and programmable protein design. ProtGenesis makes latent representations mechanistically interpretable, offering AI a route to discovering, rather than merely predicting, scientific principles. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=173 HEIGHT=200 SRC="FIGDIR/small/706798v2_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@18f690org.highwire.dtl.DTLVardef@e36903org.highwire.dtl.DTLVardef@35f15org.highwire.dtl.DTLVardef@1577b81_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Super-resolution single-cell spatial atlas of plant de novo regeneration

Plant de novo regeneration, a capacity absent in animals, relies on stem-cell-niche formation rather than pre-existing reservoirs. Growth hormones such as auxin and cytokinin, together with numerous genetic regulators, participate in regeneration, but the architectural principles coordinating extensive cellular reprogramming at the individual-cell scale remain elusive. Using super-resolution multimodal spatial transcriptomics to 1.16 million cells, we tracked tomato regeneration across temporal intervals from wounding to organogenesis. Datasets are available at http://www.single-cell-spatial.com.

cell biology↗

A biofidelic Goat Model of Traumatic Optic Neuropathy with Optic Canal Fracture via Transnasal Endoscopy

Traumatic optic neuropathy (TON) is a major cause of irreversible vision loss following blunt cranial trauma, yet the absence of clinically relevant large animal models that faithfully recapitulate human TON has significantly impeded translational research. Current rodent models do not reproduce optic canal fracture, a key injury mechanism in many patients with TON. Here, we combined high-fidelity finite element analysis (FEA) with iterative engineering to establish a reproducible goat model of TON. We first built a high-resolution human-head finite element model to characterize force transmission to the optic nerve. Across clinically relevant periorbital impacts, stress preferentially concentrated in the intracanalicular segment, reaching a peak force density of approximately 500 N/m2 at 50.6 ms, about fivefold higher than in the intraorbital segment. Simulations further showed that direct optic canal impact reproduced comparable intracanalicular stress with a markedly lower input force: 195 N, compared with 3900 N for periorbital impact. Guided by these insights, we developed transnasal endoscopic impact systems capable of inducing optic canal fractures in goats. TON was confirmed within 24 hours by a characteristic relative afferent pupillary defect (RAPD), and at 1 month post-injury goats (n = 14) exhibited a 10%-20% reduction in ganglion cell complex (GCC) thickness and 40%-65% reductions in flash visual evoked potential (FVEP) and pattern electroretinogram (PERG) amplitude ratios (all P [≤] 0.001), with structural and functional preservation of the fellow eye. This study presents a robust, standardized, and clinically relevant large-animal platform for investigating TON pathophysiology.

neuroscience↗

Effects of the Hypomethylating Agent Guadecitabine on Peripheral Blood Mononuclear Cell Methylomes and Immune Cell Populations in Small-Cell Lung Cancer Patients

BackgroundSmall-cell lung cancer (SCLC) represents 15% of lung cancers and with a 5-year survival rate under 7% remains one of the deadliest malignancies. Although initially responsive to chemotherapy, rapid recurrence and resistance are common. Epigenetic modifications, particularly DNA methylation, contribute to tumor progression and therapy resistance. Guadecitabine, a hypomethylating agent (HMA), has shown promising clinical activity when combined with carboplatin in preclinical models. We evaluated the combination of guadecitabine with carboplatin as a second-line treatment for extensive-stage SCLC (NCT03913455). Here we report methylome changes in peripheral blood mononuclear cell (PBMCs) collected at baseline and during treatment from patients on the trial. ResultsPMBC DNA was analyzed using Infinium HumanMethylationEPIC v1.0 bead chips. Data were processed and differentially methylated positions (DMPs) were identified and analyzed for pathway enrichment using bioinformatic approaches and immune deconvolution analyses were conducted to investigate the impact on immune cell composition. Direct comparison of PBMCs between cycle 2 day 5 (C2D5; post-treatment) vs cycle 1 day 1 (C1D1; pre-treatment) revealed a greater number of hypomethylated DMPs (380 DMPs in C2D5 vs C1D1 PBMCs; p < 0.05, |{beta}| > 20%). Moreover, when first compared with normal PBMCs from cancer-free controls, the number of hypomethylated DMPs was even greater in C2D5 than in C1D1 (1,771 vs 237 DMPs, respectively; p < 0.05, |{beta}| > 20%). Long interspersed nucleotide elements-1 (LINE-1) were also significantly hypomethylated in PBMCs after HMA treatment (C2D5), compared to C1D1. Pathway analysis of hypomethylated DMPs revealed significant alterations in key signaling pathways including NF-{kappa}B, Rho GTPase, pulmonary fibrosis, and p75 NTR in C1D1 vs C2D5. When normal PBMCs were compared to C1D1 PBMCs, changes in IL-3 signaling, Fc{gamma} receptor-mediated phagocytosis, and molecular mechanisms of cancer were observed. Deconvolution analysis revealed a significantly higher percentage of monocytes in C1D1 PBMCs vs normal PBMCs. However, after HMA treatment, percentages of monocytes and B cells decreased, while eosinophil percentage increased in C1D1 compared to C2D5 PBMCs. ConclusionIn the first study on the global impact of HMA treatment on PBMC methylomes in SCLC patients, DNA methylation changes associated with biological pathways related to PBMC function reveal shifts in distinct immune cell populations. SummaryMethylome changes in peripheral blood mononuclear cell (PBMCs) from small cell lung cancer (SCLC) patients treated with an epigenetic therapy revealed global hypomethylation and altered cancer signaling processes associated with tumor progression, immune response, therapy resistance and significant change in the proportion of immune cells. Integrating blood-based methylation biomarkers into clinical trials of epigenetic therapy and methylomic analysis of PBMCs provides direct monitoring of treatment effects in cancer patients, which may improve patient selection and enable real-time response assessment in patients receiving hypomethylating agents.

genomics↗

Z-RNA-ZBP1 axis drives Tau-mediated neurodegeneration

Although the causes of Tau aggregates vary, once Tau aggregates are formed, their neurotoxicity significantly contributes to neuronal death and cognitive decline in tauopathies, with Alzheimers disease (AD) being the most well-known example. Despite its central pathogenic role, however, effective therapeutic strategies targeting neurotoxicity of Tau remain poor. Here we demonstrate the pathogenic role of neuronal cell death in Tau-related neurodegeneration. Tau-expressing neurons undergo cell death through Z-DNA-binding protein 1 (ZBP1) activation triggered by endogenous Z-RNAs. These Z-RNAs are derived from reactivated transposable elements (TEs) that are typically silenced within heterochromatin. Tau aggregates show a strong affinity for H3K9me3-modified chromatin, effectively sequestering these epigenetic marks from Heterochromatin Protein 1 (HP1), thereby disrupting the condensation of constitutive heterochromatin. Clinically, an inverse correlation between ZBP1 expression levels in excitatory neurons and cognitive performance in AD patients was observed. Importantly, Zbp1 haploinsufficiency significantly ameliorated cognitive deficits in aged Tau-transgenic mice (24-month-old), highlighting the therapeutic potential of ZBP1 inhibition to strive against neurodegeneration in tauopathies.

neuroscience↗

Tirzepatide improves pancreatic β-cell function in mice and patients with type 2 diabetes.

The dual incretin receptor agonist tirzepatide improves {beta}-cell function in T2D patients, but the underlying mechanism remains unclear. This study aimed to elucidate the molecular pathway through which tirzepatide restores {beta}-cell functional improvement. High-fat diet (HFD)-fed C57BL/6J mice were treated with vehicle, a GIP analogue, semaglutide or tirzepatide. Tirzepatide significantly reduced body weight and improved glucose tolerance in HFD-fed mice without altering {beta}-cell mass, proliferation, or apoptosis. Instead, tirzepatide reversed {beta}-cell dedifferentiation, as indicated by reduced ALDH1A3 expression and restored levels of the identity transcription factors PDX1 and MAFA. Single-cell RNA sequencing (scRNA seq) and in vitro studies revealed that tirzepatide up-regulated FOXO1, reactivating the FOXO1-PDX1/MAFA axis. In T2D patients, tirzepatide improved glycemic control, reduced insulin demand, increased HOMA-{beta}, and decreased HOMA-IR. Improvement in HOMA-{beta} correlated positively with baseline insulin resistance. Hence, our study suggested that tirzepatide restores {beta}-cell function in T2D by reprogramming stressed {beta} cells and re-establishing {beta}-cell identity through FOXO1-dependent transcriptional reactivation. These findings provide a mechanistic basis for the superior efficacy of dual incretin receptor agonism in T2D management. ARTICLE HIGHLIGHTSO_LITirzepatide restores {beta} cell identity and function without altering {beta} cell mass in HFD induced diabetic mice. C_LIO_LITirzepatide reverses {beta}-cell dedifferentiation and restores key {beta}-cell transcription factors (PDX1, MAFA) through reactivation of the AKT-FOXO1 signaling pathway. C_LIO_LITirzepatide increases HOMA-{beta} and decreases HOMA-IR in T2D patients, and improvements in HOMA-{beta} positively correlate with baseline insulin resistance. C_LIO_LIThese results demonstrate that tirzepatides therapeutic benefits are not only metabolic but also involve direct restoration of {beta}-cell identity and function. This highlights {beta}-cell reprogramming as a novel therapeutic avenue, thus supporting the broader clinical adoption of dual incretin receptor agonists. C_LI

physiology↗

Chronic nicotine reduces nigral dopaminergic activity and remodels pedunculopontine cholinergic subpopulations

Chronic nicotine is linked to neuroprotective effects and reduced Parkinsons disease (PD) risk, yet its physiological effects on vulnerable substantia nigra pars compacta (SNc) dopaminergic and pedunculopontine nucleus (PPN) cholinergic neurons are not fully understood. These populations exhibit specialized properties such as spontaneous pacemaking and elevated dendritic calcium influx that contribute to their selective neurodegeneration in PD. Here, we used whole-cell patch-clamp, two-photon calcium imaging, and morphological reconstruction in acute brain slices from adult mice of both sexes following 8-10 weeks of oral nicotine. Chronic nicotine reduced spontaneous pacemaking, burst propensity, and rebound firing in SNc dopaminergic neurons, while decoupling tonic firing rate from proximal dendritic calcium levels. The changes in the SNc occurred without altering L-type channel contributions, dendritic arborization, or excitatory synaptic drive. In PPN cholinergic neurons, chronic nicotine induced subregion-specific plasticity. Rostral PPN neurons showed depolarized membrane potentials, broadened action potentials, and dendritic pruning, whereas caudal PPN neurons showed reduced spike frequency adaptation and accelerated excitatory postsynaptic current kinetics. These findings reveal potential cellular and circuit mechanisms by which nicotine may contribute to resilience against PD. Significant StatementEpidemiological studies have revealed nicotines surprising protective effect in Parkinsons disease (PD). Interestingly, this protection appears only preventative, as nicotine shows no therapeutic benefits after PD diagnosis. Here, we evaluated the effects of chronic nicotine on two brainstem populations known to selectively degenerate in PD: substantia nigra pars compacta (SNc) dopaminergic neurons and pedunculopontine (PPN) cholinergic neurons. Chronic nicotine decreases activity levels of SNc neurons, depolarizes rostral PPN neurons, and enhances sustained firing capability in caudal PPN neurons. Notably, this is the first study to assess whether chronic nicotine alters the physiology and dendritic morphology of these vulnerable subpopulations. These cellular insights uncover potential mechanisms for promoting neuronal resilience in neurodegenerative diseases.

neuroscience↗

Lmna deficiency promotes EPHX2 nuclear translocation to ameliorate cardiac dysfunction in mice

BackgroundCardiovascular diseases are often associated with altered protein subcellular localization. As a major cause of inherited cardiomyopathy, LMNA deficiency could trigger nuclear envelope rupture and broadly impair the localization of nuclear and cytoplasmic proteins. Systemic approaches to identify, dissect and manipulate the localization of endogenous proteins are important for mechanistic and therapeutic investigation. MethodProximity proteomics of the nuclear lamina was performed specifically in cardiomyocytes in Lmna-deficient murine models. AAV-mediated Cas9-based gene silencing and subcellular gene upregulation were conducted via the nuclear localization signal (NLS) and nuclear export signal (NES). Cas9-based somatic mutagenesis was supplemented with the single-strand DNA templates of AAV to achieve robust homology-directed repair (HDR) and targeted NLS knock-in, which translocated cytoplasmic proteins into nuclei. ResultIn vivo proximity proteomics detected increased epoxide hydrolase 2 (EPHX2) in cardiomyocyte nuclei in mice carrying germline or cardiac-specific Lmna truncating variants. This phenotype was associated with ruptured nuclear envelope. Cas9-mediated Ephx2 knockout in cardiomyocytes ameliorated cardiac dysfunction in Lmna-deficient mice. Strikingly, overexpression of NLS-EPHX2, but not NES-EPHX2, also mitigated cardiac dysfunction. The cardiac protective EPHX2 substrates, epoxyeicosatrienoic acids (EETs), did not alter upon NLS-EPHX2 overexpression. By contrast, the Lmna-related DNA damage marker {gamma}-H2AX was reduced. The EPHX-D333A mutant lacking hydrolase activity recapitulated the effects of wildtype EPHX2 in nuclei. AAV-Cas9-based HDR achieved efficient NLS knock-in and EPHX2 nuclear translocation in more than 60% cardiomyocytes, which improved cardiac function. ConclusionLmna deficiency leads to the nuclear translocation of EPHX2, which ameliorated cardiac dysfunction in a hydrolase-independent manner. AAV-HDR-mediated somatic gene editing provides an efficient approach to manipulate the subcellular localization of endogenous proteins in cardiomyocytes in vivo. What is Known?O_LICardiovascular diseases are regulated by the changes in protein subcellular localization. In particular, LMNA-related cardiomyopathy is associated with nuclear rupture and impaired separation between nuclear and cytoplasmic proteins. C_LIO_LIEpoxide hydrolase 2 (EPHX2) is a cytoplasmic hydrolase that catalyzes the hydrolysis of cardioprotective epoxyeicosatrienoic acids (EETs) and aggravates an array of heart diseases including myocardial infarction and heart failure. C_LIO_LICRISPR/Cas9-mediated homology-directed repair (HDR) exhibits uniquely high gene editing efficiency in cardiomyocytes with an AAV-based DNA donor, which is suitable for somatic genetic knock-in of small DNA fragments in vivo. C_LI What New Information Does This Article Contribute?O_LILamin-targeted proximity proteomics specifically in cardiomyocytes uncovers novel proteins undergoing subcellular localization changes upon Lmna deficiency. C_LIO_LILmna deficiency leads to EPHX2 nuclear translocation that ameliorates cardiac dysfunction by both mechanisms of cytoplasmic reduction and nuclear induction. C_LIO_LIAAV-HDR-mediated knock-in provides a robust platform to manipulate subcellular localization of endogenous proteins specifically in cardiomyocytes in vivo. C_LI Cardiovascular diseases are often associated with altered protein subcellular localization, but systemic approaches to identify, study and manipulate subcellular localization remain incomplete. This study established an in vivo proximity proteomics approach to identify novel proteins undergoing localization changes relative to the nuclear lamina. In murine models of LMNA-related cardiomyopathy, this approach uncovered EPHX2, a classic cytoplasmic hydrolase that aggravates cardiovascular diseases, as a new protein that translocated into cell nucleus and exerted a cardiac protective effect. CRISPR/Cas9-based cardiomyocyte gene editing with an AAV-based DNA donor efficiently achieved NLS knock-in into the Ephx2 gene, promoted EPHX2 protein nuclear translocation and mitigated cardiac dysfunction with Lmna deficiency. These findings indicated a novel avenue to identify and manipulate the subcellular localization changes of endogenous proteins for basic and translational cardiology.

pathology↗

Exercise-conditioned tear fluid suppresses myopia progression

Myopia represents a major global public health challenge with rapidly rising prevalence. It is thus important to explore novel therapeutics for the treatment of myopia. Here we predicted tear fluid after (TA) but not before (TB) moderate-intensity aerobic exercise might protect against myopia using reverse transcriptomic analysis. To experimentally validate this hypothesis, TA or TB was administered by periocular injection in a guinea pig model of form-deprivation myopia. As a result, TA treatment significantly attenuated myopic refractive shifts and suppressed vitreous chamber depth and axial length elongation, whereas TB showed no protective effects. This study proposes a novel therapeutic avenue for myopia intervention and also suggests a previously unrecognized tear fluid-mediated mechanism linking exercise to myopia.

bioinformatics↗

Learning a Continuous Progression Trajectory of Amyloid in Alzheimer's disease

BACKGROUNDUnderstanding of early Alzheimer progression is critical for timely diagnosis and treatment evaluation, but traditional diagnostic groups often lack sensitivity to subtle early-stage changes. METHODSWe developed SLOPE, an unsupervised dimensionality reduction method that models the amyloid progression in AD on a continuous scale which preserves the temporal sequence of follow-up visits. Applied to longitudinal amyloid PET data, SLOPE generated a two-dimensional trajectory capturing global amyloid accumulation across the AD continuum. RESULTSSLOPE-derived pseudotime scores better preserved temporal consistency across diagnostic groups and longitudinal follow-up visits and can be generalized to held-out subjects. The learned trajectory revealed biologically consistent amyloid spreading patterns and greater sensitivity to early progression than global amyloid SUVR. DISCUSSIONSLOPE provides a continuous staging of amyloid pathology that complements global amyloid measures by capturing early localized progression.

bioinformatics↗

Bacterial exo-α-sialidases subvert the complement system through desialylation

The complement system is a central pillar of innate immunity, yet how bacterial glycan-modifying enzymes subvert complement function remains poorly understood. Bacterial sialidases remove terminal sialic acids from host sialoglycans, but their direct impact on complement immunity is unclear. Here, we investigate the impact of six sialidases from five human pathogens on complement immunity using an integrated approach combining genetics, biochemistry, glycobiology, mass spectrometry, and structural biology. We demonstrate that major complement components (IgG, C1q, C4, and C5) and regulators (Factor I, Factor H, and C4bp) are sialylated, and that bacterial sialidase-mediated desialylation suppresses complement activation and surface deposition, thereby enabling complement evasion. Despite extensive sequence diversity, biochemical and structural analyses reveal that all examined sialidases share a conserved six-bladed {beta}-propeller catalytic domain and cleave both N-acetylneuraminic and N-glycolylneuraminic acids, the predominant mammalian sialic acids. Together, these findings uncover a conserved mechanism by which diverse bacterial pathogens disable complement immunity through desialylation.

microbiology↗

AbNovoBench: a resource and benchmarking platform for monoclonal antibody de novo sequencing

Monoclonal antibodies (mAbs) are critical in disease diagnostics and therapeutics, yet the performance of mass spectrometry (MS)-based de novo sequencing remains incompletely characterized due to limited antibody-specific datasets and the absence of a standardized benchmark framework. Here we present AbNovoBench, a comprehensive framework for evaluating data analysis strategies for mAb de novo sequencing. It features the largest high-quality dataset to date, generated in-house, comprising 1,638,248 peptide-spectrum matches from 131 mAbs across six species and 11 proteases, supplemented by eight mAbs with known full-length sequence for end-to-end reconstruction assessment. Employing a unified training dataset, we systematically benchmarked 13 deep learning-based de novo peptide sequencing algorithms and three assembly strategies across peptide sequencing metrics (accuracy, robustness, efficiency, error types) and assembly metrics (coverage depth, assembly score). AbNovoBench (https://abnovobench.com) provides an online platform enriched with curated antibody MS resources and pre-trained models, enabling customizable antibody sequencing workflows, accelerating antibody-specific algorithms development, and improving reproducibility in proteomics.

systems biology↗

Distinct activation thresholds of unmyelinated C-fiber afferents by dorsal root ganglion and peripheral nerve stimulation

ObjectivesSensitization of C-fiber nociceptors plays a critical role in spontaneous and ongoing pain in patients with chronic pain. We recently demonstrated that C-fiber afferents can be reversibly blocked through activity-dependent conduction slowing, suggesting that selective activation of C-fiber afferents may represent a novel strategy for pain relief. We hypothesized that electrical peripheral nerve stimulation (ePNS) and dorsal root ganglion (DRG) stimulation exhibit distinct activation thresholds for unmyelinated C-fiber afferents. Materials and MethodsWe characterized the activation thresholds of A- and C-fiber afferents during ePNS and DRG stimulation using single-fiber electrophysiological recordings from split nerve filaments and optical GCaMP6f imaging of intact DRGs. We further quantified the distribution of the sodium channel subtype NaV1.6 in afferent axons and somata and evaluated its contribution to neuronal excitability using NEURON-based computational modeling. ResultsSingle-fiber recordings showed that activation of C-fiber axons required approximately tenfold higher stimulus amplitudes than A/{beta}-fiber axons during ePNS. In contrast, DRG stimulation within a narrow amplitude range robustly activated both small- and large-diameter DRG neurons, with putative C-fiber afferents comprising 57% of the activated population, indicating markedly reduced differential activation thresholds compared with ePNS. Analysis of published single-cell RNA-sequencing datasets revealed high NaV1.6 expression in TRPV1-positive C-fiber nociceptors. Immunohistochemical staining demonstrated prominent clustering of NaV1.6 in the stem axons of most DRG neurons, including small-diameter C-fiber afferents, whereas NaV1.6 was absent from C-fiber axons in the sciatic nerve. NEURON simulations further showed that NaV1.6 clustering at the stem axon is a key determinant of activation thresholds during DRG stimulation. ConclusionsThese findings identify a structural and molecular mechanism underlying the efficient activation of C-fiber afferents by DRG stimulation and provide mechanistic insight into the superior therapeutic efficacy of DRG stimulation for the treatment of C-fiber-mediated chronic pain.

neuroscience↗

Sotatercept Reverses SIN3a Deficiency-Driven PAH by Reprogramming BMPR2/TGF-β-HIF-1α Signaling Pathways

BackgroundPulmonary arterial hypertension is a progressive and fatal cardiopulmonary disease marked by excessive proliferation of pulmonary artery smooth muscle cells (PASMCs), pathological vascular remodeling, and ultimately right heart failure. Dysregulated BMPR2 signaling is a central molecular hallmark of PAH and is often associated with epigenetic suppression of BMPR2 expression. Switch-independent 3a (SIN3a), a transcriptional co-regulator and chromatin-modifying scaffold protein, has emerged as a key regulator of BMPR2 expression, yet its role in PAH pathogenesis remains poorly defined. MethodsWe generated smooth muscle cell-specific SIN3a knockout mice (SIN3aSMC-/-) and subjected them to the Sugen/hypoxia protocol to induce PAH. A cohort received Sotatercept treatment. In parallel, human PASMCs engineered to overexpress SIN3a were exposed to TGF{beta}1 or hypoxia (1% O2) in vitro. Comprehensive transcriptomic profiling and pathway analyses identified molecular networks regulated by SIN3a and Sotatercept. Hemodynamic measurements and detailed morphometric analyses were used to assess disease severity and treatment response. ResultsSIN3a overexpression in PASMCs suppressed hypoxia-inducible factor-1 and TGF-{beta}/SMAD2/3 signaling, restored BMPR2 expression, and activated canonical BMP signaling through SMAD1/5/9 phosphorylation, while reducing pro-inflammatory, oxidative, and fibrotic gene programs. Transcriptomic analyses revealed that SIN3a and Sotatercept converge on gene networks that regulate BMPR2 signaling, ID isoforms, extracellular matrix remodeling, oxidative stress, and inflammation. In vivo, smooth muscle-specific SIN3a deletion exacerbated Sugen/hypoxia-induced PAH, increasing right ventricular systolic pressure, right ventricular hypertrophy, pulmonary vascular remodeling, and fibrosis. Sotatercept treatment reversed these pathological features, restored SIN3a and BMPR2 expression, reactivated BMP signaling, and attenuated HIF-1 and TGF-{beta} signaling in SIN3a-deficient mice. ConclusionsSIN3a is a central epigenetic regulator of PASMC homeostasis that integrates oxidative stress, inflammation, and fibrotic signaling. Loss of SIN3a accelerates PAH progression, whereas Sotatercept restores SIN3a expression, rebalances BMPR2 and TGF-{beta} signaling, and attenuates pulmonary vascular remodeling and right ventricular dysfunction. Together, these findings identify SIN3a as a disease-relevant therapeutic target and support the use of Sotatercept as a disease-modifying approach for pulmonary vascular disease.

molecular biology↗

immgenT Treg: A Reference Landscape of Regulatory T Cell States in Mice

CD4+FoxP3+ regulatory T cells (Tregs) are central to immunity, tolerance, and tissue homeostasis, yet their extensive heterogeneity lacks a unifying framework. Within the immgenT project, we profiled gene expression, surface markers and TCR clonotypes of mouse Tregs. Using a joint RNA-protein deep generative model, we define the Treg landscape, organized around eight conserved clusters shared across tissues and conditions, with immune context reshaping their relative abundance rather than generating new states, including a prominent circulating effector Treg population enriched in select non-lymphoid tissues. We validate this framework by integrating external datasets from conditions not represented in immgenT and by defining a flow cytometry panel spanning the Treg landscape. Together, immgenT provides a scalable, reusable reference that unifies Treg heterogeneity across tissues and immune challenges.

immunology↗

immgenT: A Comprehensive Reference of Convergent T-cell States in the Mouse

The immgenT collaborative project generated a comprehensive molecular atlas of T cells spanning virtually all mouse organs and disease states, profiling ~800,000 cells from 750 samples with RNA, 128-plex surface protein, and {beta}TCR sequence. Applying a deep generative model to joint RNA and protein data defined the landscape of T-cell states organized into eight lineages and 107 robust clusters, integrating similar cells from different contexts, and resolving prior nomenclatures. Analysis of effector molecules, transcription factors and modules showed that both immunological functions and regulatory programs are shared across cell states. This framework provides a stable, reusable reference, demonstrated by computationally integrating 16 external datasets from diverse biological contexts. A set of public web tools supports browsing of these data and mapping of any dataset onto the immgenT framework. These results propose a molecular classification of T cells organized around a set of shared states reused across immunological contexts.

immunology↗

ProMeta: A meta-learning framework for robust disease diagnosis and prediction from plasma proteomics

The plasma proteome offers a dynamic window of human health, capturing the real-time intersections between genetics and physiology. However, the application of deep learning to proteomics is currently hindered by a reliance on large-scale labeled datasets, rendering standard models ineffective for rare or novel diseases where patient samples are inherently scarce. Here, we present ProMeta, a meta-learning framework designed to enable robust disease modeling under extreme data restrictions. By integrating knowledge-guided pathway encoding with bi-level meta-optimization, ProMeta projects unstructured proteomic profiles into biologically interpretable functional tokens. This architecture allows the model to learn a global initialization containing transferable biological priors from biobank-scale data, facilitating rapid adaptation to novel tasks. Through comprehensive benchmark experiments, ProMeta consistently outperformed transfer learning and traditional machine learning baselines in both disease diagnosis and prediction tasks. In the most challenging 4-shot scenarios (utilizing only 2 cases and 2 controls), the model achieved robust generalization with an average AUROC of [~] 0.69, representing a 24.6% relative improvement over the best-performing baseline methods. Mechanistic investigation revealed that ProMeta disentangles cases from controls in the latent space prior to task-specific adaptation, confirming the acquisition of universal biological rules rather than rote memorization. Furthermore, gradient-based interpretation identified disease-specific protein biomarkers and functional pathways consistent with known pathophysiology. Collectively, ProMeta overcomes the data-scarcity bottleneck in precision medicine, providing a scalable, interpretable framework for characterizing the full spectrum of human diseases, particularly for rare conditions lacking extensive clinical cohorts.

bioinformatics↗