Biology subjects

Wang, X.

Publications and source records attributed to Wang, X..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

SEEKER: A genome-scale library-on-library screening platform for deciphering T cell recognition of antigen

Decoding which antigens activate a given T cell receptor (TCR) is a central challenge in immunology. We present SEEKER, a functional genome-scale library-on-library screening platform built on three elements: a Jurkat-derived T-APC cell (TAPCell) that combinatorially expresses one TCR and one peptide-MHC drawn from separate libraries together with an NFAT activation reporter; encapsulation of single TAPCells in a thermos-reversible hydrogel for isolated clonal expansion, so recognition is read out as intraclonal activation; and dual-asymmetric PCR that links TCR- and pMHC-encoding sequences into a heritable unit, enabling progressive hit enrichment over screening rounds. SEEKER interrogates ~10^8 TCR-pMHC combinations per run without prior knowledge. Screening joint-infiltrating CD8+ T cells from HLA-B*27+ ankylosing spondylitis patients against proteome-wide libraries validated 53 TCR-peptide pairs, uncovered extensive cross-recognition of self and common viral epitopes, and revealed highly polyreactive T cells recognizing up to 80 autoantigens, implicating virus-triggered poly-autoreactivity in multi-organ autoimmune diseases.

immunology↗

bioRxiv2026

Base-mismatched crRNA in CRISPR Enabled Universal One-pot Rapid Nucleic Acid Detection

CRISPR-Cas12a-based diagnostics are promising for field detection yet are often constrained by two step workflows or laborious optimization of one-pot reactions. Herein, we present a universal one-pot RPA/CRISPR-Cas12a strategy using base-mismatched crRNA in the seed region (positions 1-6). Introducing of single-nucleotide mismatches (complementary or error) into crRNA suppresses cis-cleavage activity, enabling amplification and detection in a single tube without PAM re-design or costly modified crRNA. Molecular dynamics (MD) simulations indicated that moderate potential energy (PE) variation correlates with improved screening performance, providing guidance for the selection of effective mismatches. This strategy successfully converted established two-step assays for Burkholderia pseudomallei and Brucella into one-pot formats, achieving detection of targets at 10 copies/L within 30 min with good specificity. Lyophilized pellets supported field testing on lithium-ion battery-powered devices, and experiments with simulated soil samples confirm the robustness of the approach. Together, this cost-effective, adaptable strategy can streamline RPA-CRISPR diagnostics for infectious disease surveillance.

molecular biology↗

bioRxiv2026

Sequence-specific and programmable catalytic degradation of extracellular microRNAs by membrane-anchored DNA nanomachines

Extracellular microRNAs (miRNAs) contribute to metastasis through communication between tumour cells and their microenvironment, yet their sustained, sequence-selective depletion remains challenging. Here we report Programmable RNA-Intercepting Molecular Eraser (PRIME), a membrane-anchored DNA nanomachine that organizes miRNA recognition and catalytic degradation at the cell surface. A double-tetrahedral DNA scaffold positions a programmable recognition hairpin beside RNase H. Target binding generates an RNA/DNA hybrid for RNase H-mediated cleavage, and product release resets the hairpin for subsequent degradation cycles. Membrane-anchored PRIME depleted matched extracellular miRNAs by 70.6-89.4% across lung, breast and cervical cancer cell models. Multi-target PRIME (M-PRIME) inhibited migration by 71.3-96.0% in Transwell assays across these models. To evaluate its therapeutic potential, we established an orthotopic lung-tumour model and an early-intervention breast-cancer lung-colonization model in mice. Aptamer-directed M-PRIME combined with gemcitabine reduced pulmonary tumour burden by 74.5% in established lung tumours and 93.2% in the lung-colonization model. These effects were consistent with PRIME-mediated extracellular miRNA degradation, with circulating target miRNA levels reduced by 77.5-98.7% relative to gemcitabine alone. Together, these findings establish a programmable material strategy for sustained extracellular RNA depletion and support its potential to enhance chemotherapy in preclinical tumour models.

biochemistry↗

bioRxiv2026

SpiraMed: A Stereotactic Helix-based Therapy Delivery system for the Human Brain

Stereotactic needle-based delivery remains the standard for local administration of Advanced Therapy Medicinal Products (ATMPs) to the human brain. ATMP administration typically involves multiple trajectories, presenting cumulative risks and prolonging surgery. Reflux-prone, patchy therapy coverage compromises clinical results. We demonstrate a novel approach, deploying a helical delivery catheter via a single access trajectory per target, referred to as SpiraMed. Helix retraction is synchronised with therapy delivery, enabling comprehensive target coverage in seconds. Helix pitch and diameter can be precisely tailored to patient-specific target volume and vascular anatomy, as part of the preoperative stereotactic surgical planning process. Testing in agarose phantoms, live sheep and cadaveric human brain confirms enhanced therapy delivery volume, delivery speed and target coverage, with reductions in reflux and predicted risk of bleeding complication. SpiraMed represents a new paradigm, promising to help deliver on the transformative potential of cell and gene therapies across the spectrum of human CNS disease.

bioengineering↗

bioRxiv2026

AAV-mediated TBR1 supplementation ameliorates behavioral and electrophysiological abnormalities in Tbr1-haploinsufficient mice

TBR1 haploinsufficiency causes a neurodevelopmental disorder associated with intellectual disability and autistic features, but the therapeutic potential of postnatal gene replacement remains incompletely defined. Here, we evaluated adeno associated virus (AAV) mediated human TBR1 replacement in Tbr1 haploinsufficient mice. A single retroorbital injection of AAV.PHP.eB expressing human TBR1 under the human synapsin promoter was administered at postnatal day 3 at a dose of 2 E11 vector genomes. Compared with control vector treated mutants, treated mice exhibited increased TBR1 protein abundance and TBR1, CTIP2, and parvalbumin positive cell counts in selected brain regions. Treatment improved sociability, social transmission of food preference, and buried food seeking. Electroencephalographic (EEG) recordings showed attenuation of elevated relative theta power and improved theta suppression and gamma enhancement during social interaction. However, anterior commissure abnormalities persisted, correction of other EEG abnormalities was incomplete, and sleep wake proportions showed no significant treatment improvement. These findings demonstrate that neonatal TBR1 replacement improves selected behavioral and electrophysiological outcomes despite persistent anatomical abnormalities. These findings support further development of gene replacement for TBR1 haploinsufficiency and highlight EEG measures as candidate biomarkers for monitoring treatment response.

neuroscience↗

bioRxiv2026

Senescence-associated KRAS upregulation in peripheral T cells links to premature coronary artery disease

Aims: Premature coronary artery disease (PCAD) lacks specific molecular drivers, and the role of immunosenescence is unclear. We investigated whether aging-related gene dysregulation in T cells contributes to PCAD. Methods: We combined bulk transcriptomics of PBMCs from 12 PCAD patients and 21 controls, single-cell RNA sequencing of PBMCs and human atherosclerotic plaques, weighted gene co-expression network analysis, gene perturbation network analysis, and molecular docking. Results: KRAS was identified as a hub gene intersecting PCAD-associated genes and aging-related genes. Single-cell analysis showed KRAS upregulation predominantly in effector CD8+ T cells, which exhibited the highest senescence scores that were further elevated in disease. Network perturbation of KRAS strongly impacted the cell killing pathway. KRAS-high effector CD8+ T cells were detected in coronary and carotid plaques, displaying enhanced cytotoxicity, exhaustion, and senescence features. Additionally, a candidate small molecule was computationally predicted to bind inactive KRAS. Conclusions: Elevated KRAS expression in senescent, cytotoxic CD8+ T cells is associated with PCAD, bridging immunosenescence and premature atherosclerosis. This finding provides a novel biomarker candidate and potential therapeutic entry point, awaiting further functional validation.

bioinformatics↗

bioRxiv2026

Trustworthy super-resolution reconstruction across spatial omics modalities

Sequencing-based spatial omics platforms provide scalable and unbiased profiling of transcriptomic, epigenomic, and isoform-resolved signals, but their spatial resolution remains limited because each capture unit aggregates molecular information from multiple cells. Existing computational enhancement methods reconstruct high-resolution spatial gene expression from spot-level data by integrating histology, but most are designed primarily for spatial transcriptomics, rely predominantly on histological features, and lack appropriate validation strategies, leading to overfitting, spurious spatial patterns, and limited reliability. Here we present spEnhance, a generalizable and trustworthy computational framework for super-resolution enhancement of spot-level spatial omics data. spEnhance integrates histological features with complementary molecular information, including single-cell RNA-seq references and gene co-expression structure, to reconstruct high-resolution spatial molecular profiles. To enable reliable model selection from a single tissue section, spEnhance introduces a count-splitting strategy that generates statistically independent training and validation sets from spot-level measurements. spEnhance further quantifies prediction reliability through predictive residuals, providing an interpretable proxy for spatially resolved uncertainty. Comprehensive benchmarking across multiple tissues, platforms, and molecular modalities demonstrates that spEnhance achieves state-of-the-art accuracy, recovers fine-grained tissue structures, mitigates overfitting, and provides calibrated reliability estimates. Beyond spatial transcriptomics, spEnhance extends to isoform-level, epigenomics, proteomic and metabolomic spatial omics. Collectively, spEnhance establishes a modality-general and trustworthy framework for enhancing spatial omics data, enabling more accurate and reliable investigation of spatially resolved molecular regulation.

bioinformatics↗

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↗

bioRxiv2026

CryoMV: Structure-Prior-Guided Modeling and Real-Particle Validation of Continuous Conformational Transitions in Cryo-EM

Continuous protein conformations are essential for understanding fundamental biological processes and supporting drug discovery. Although cryo-EM can resolve individual states at high resolution, recovering continuous heterogeneity from 2D particle images remains challenging. High noise, motion blur, and limited structural priors make it difficult to accurately generate and validate high-resolution continuous conformations using raw particle data. Here, we introduce cryoMV, a framework that integrates structure-prior-guided modeling with real-particle validation for continuous conformational transitions. CryoMV uses reference density maps to establish structural anchors and motion priors, models candidate transition paths between selected conformations, and transfers the learned representation to raw 2D cryo-EM particle images. Each candidate conformation is subsequently evaluated using the estimated particle poses and contrast transfer functions. Supported conformations are reconstructed through raw particle back-projection and assessed using canonical half-maps and Fourier shell correlation. On EMPIAR-10516 and EMPIAR-10345, cryoMV achieves excellent performance in terms of robustness, verifiability, and reconstruction resolution. By incorporating structure-prior modeling and evidence from the raw particles, cryoMV offers an explicit mechanism for assessing whether generated conformations are supported by experimental data and provides a practical approach to reducing model-induced artifacts in continuous cryo-EM heterogeneity analysis.

bioinformatics↗

bioRxiv2026

An Excelled Trifluorinated Probe for GPCR Conformational Quantification

G protein-coupled receptors (GPCRs) represent the largest membrane protein family in the human body and the major targets of FDA-approved medications. Unlike some other physiological proteins, GPCRs are highly plastic and often exist as collections of conformational ensembles in the environment to exert their function. Therefore, understanding how a GPCR adopts different conformational ensembles in response to ligands and signaling partners is essential for drug development. 19F-NMR has emerged as one of the most promising tools in this regard; however, a well-established 19F-labeling system is still lacking, including an effective 19F probe that meets both environmental susceptibility and NMR sensitivity requirements, even though progress has been made dramatically in recent years. Thus, this manuscript reports a novel conformational probe (4-(bromomethyl)-ethoxy-2-(trifluoromethyl)benzene, BTMB) that offers paramount benefits for future GPCR conformational dynamics studies. To rationalize the mechanism behind BTMB's superiority for future probe development, we performed MD simulations, referenced to the current state-of-the-art probe, BTFMA. Our study suggests that the spatial proximity of aromatic residues significantly influences the chemical shift dispersion and linewidths of related 19F-probe-profiled conformational states, as well as the rigidity and compactness of -CF3 in the target protein.

biophysics↗

bioRxiv2026

ASOFormer: a Transformer-based model for predicting antisense oligonucleotide efficacy to support therapeutic candidate prioritization

Antisense oligonucleotides (ASOs) represent a promising therapeutic modality for RNA-based disease mechanisms, but identifying high-efficacy candidates from large sequence spaces remains a major bottleneck in drug development. Here, we present ASOFormer, a novel Transformer-based neural network that predicts the inhibition efficiency of RNase H-mediated ASOs from sequence, predicted secondary structure, and chemical modification features. ASOFormer was trained on a knockdown efficacy dataset spanning over 170,000 ASO-target pairs compiled largely from published patents. Ablation analysis confirmed that the addition of chemical modification features to the primary sequence drove the largest performance gains, with predicted secondary structure providing complementary benefit when combined with modification information. Further analysis highlighted the importance of the wings of gapmer ASOs and other features. As independent validation, ASOFormer was applied to ASOs targeting seven genes that were not in the training dataset gene list. For four out of the seven genes, the ground truth ASO inhibition efficiency was obtained from a public dataset, whereas the others were measured in-house via qPCR. Compared to two published state-of-the-art methods, ASOFormer achieved the best overall accuracy and prioritized the strongest inhibitors. Crucially, only ASOFormer consistently exceeded random expectation for top-candidate recovery across all seven test genes.

bioinformatics↗

bioRxiv2026

The diversity, evolution, and conservation of African plants

Africa hosts remarkable biodiversity across diverse biomes, yet its evolutionary history at continental-scale remains poorly understood. We integrate a time-calibrated phylogeny covering 93% of African vascular plant genera with continental-scale distribution data to jointly evaluate phylogenetic diversity (PD), endemism, and diversification rates (DR). We reveal a pronounced decoupling between DR and accumulated evolutionary history across Africa. Mountain, arid, and semi-arid areas emerge as centers of neo-endemism and elevated diversification, whereas lowland and humid regions, particularly the Guineo-Congolian zone, are dominated by older lineages with low recent diversification. Several DR hotspots do not overlap with Global Biodiversity Hotspots, indicating a mismatch between rapid diversification and accumulated evolutionary history. High net diversification and speciation rates during the last 15 million years were likely driven by cooling, aridification, and mountain uplift that created new ecological gradients and isolation barriers. These abiotic changes, interacting with lineage-specific traits, shaped African modern flora and highlight conservation gaps, especially in arid regions

evolutionary biology↗

bioRxiv2026

Spatial organization of voltage-gated ion channel expression across molecularly defined neuronal populations in the mouse mammillary bodies

The mammillary bodies (MB) are a hypothalamic component of the limbic Papez circuit that plays a critical role in spatial and episodic memory in mammals. Degeneration of the MB occurs in disorders associated with cognitive impairment, including Korsakoff's syndrome and Alzheimer's disease, yet the molecular organization and intrinsic properties of MB neurons remain poorly understood. Recent single-cell RNA sequencing identified multiple transcriptionally distinct neuronal populations within the MB and suggested that they differentially express voltage-gated ion channels that regulate neuronal excitability. Here, we used fluorescence in situ hybridization (FISH) to define the anatomical organization of cluster-enriched molecular markers and determine the spatial distribution of transcripts encoding voltage-gated sodium (NaV), potassium (KV), and hyperpolarization-activated cyclic nucleotide-gated (HCN) channels among defined subregions of the mouse MB. We found that marker transcripts occupy characteristic but partially overlapping spatial domains that broadly correspond to classical anatomical subdivisions. In addition, several ion channel transcripts, including Scn1a, Scn2a, Kcnq2, Kcnq3, and Hcn1, exhibited distinct patterns of enrichment across molecularly defined neuronal populations and MB subregions. Multiplex FISH further revealed unexpected co-expression of Scn1a and Scn2a within Pvalb-enriched neuronal populations, while whole-cell recordings demonstrated distinct intrinsic firing properties of neurons in the lateral and medial mammillary nuclei. Together, these findings establish a molecular framework linking neuronal population identity with voltage-gated ion channel expression in the MB and provide a foundation for future studies investigating how cell type-specific differences in intrinsic excitability contribute to memory function and neurological disease.

neuroscience↗

bioRxiv2026

Geometry-dependent mRNA delivery with programmable RNA-DNA nanostructures

Efficient intracellular delivery of neoantigen-encoded mRNAs is central to the development of effective cancer vaccines and immunotherapies. However, how the nanoscale geometry of delivery carriers impacts mRNA delivery remains poorly understood, largely because conventional delivery platforms do not readily permit systematic variation of carrier architecture while maintaining comparable chemical composition. Here, we develop a modular RNA-DNA hybrid nanoplatform that enables controlled investigation of geometry-dependent mRNA delivery. Guided by a unified design principle, we construct a series of two- and three-dimensional nanostructures with programmable architectures and systematically compare their delivery performance using consistent functional readouts. We further investigate how mRNA embedding strategies and aptamer-mediated functionalization influence intracellular delivery efficiency. By providing precise control over carrier geometry, this platform establishes a framework for elucidating structure-function relationships in mRNA delivery and offers a versatile strategy for engineering targeted nucleic acid delivery systems.

bioengineering↗

bioRxiv2026

A transformer-based model reveals sparse, stimulus-dependent orientation readout from macaque V1 population activity

Orientation information in primary visual cortex (V1) is represented by large populations of neurons with overlapping tuning preferences, yet how this information is selectively read out remains unclear. Here we proposed a transformer-based model to reconstruct oriented Gabor stimuli from two-photon calcium responses of more than 1000 simultaneously recorded macaque V1 neurons. The model reconstructed stimulus orientation with high precision and revealed, through its self-attention maps, a sparse and stimulus-dependent readout structure. For each stimulus orientation, reconstruction was dominated by a small number of highly weighted readout neurons that were tuned near the presented orientation and showed enhanced effective orientation signals after self-attention modulation. After removal of these neurons and retraining, reconstruction recovered through recruitment of substitute neurons with similar response properties, indicating that sparse readout can be flexibly supported by redundant population encoding. Decoder comparisons showed that a simple linear decoder and a multilayer perceptron recovered orientation less precisely than the transformer, suggesting that the model's advantage was not explained simply by generic nonlinear decoding capacity. Together, these findings suggest a population-level principle in which redundant orientation encoding supports sparse, stimulus-dependent, and flexible readout.

neuroscience↗

bioRxiv2026

Autonomous MTOR activation in COPD airway epithelium impairs resolution through persistent mucus cell metaplasia and lysosome dysfunction

Background: COPD is associated with persistent airway epithelial mucous cell metaplasia (MCM), mucin hypersecretion, and airway obstruction. Cytokines, such as IL-13, are well-known inflammatory drivers of airway MCM development. However, less is known about the factors that contribute to the impaired resolution of MCM in COPD. We hypothesized that MTOR activation in COPD airway epithelial cells (AECs) impairs autophagy and contributes to the delayed resolution of MCM. Methods: AEC from COPD and non-diseased donors were grown under air-liquid interface (ALI) conditions and treated with IL-13 to promote MCM. Airway sections from COPD lung explants or non-diseased lung donors were utilized for immunohistochemical and immunostaining. Lysosomes were assessed using molecular probes and immunostaining. Results: There was persistent MTOR-dependent MUC5AC immunostaining and epithelial hypertrophy in COPD AEC, which did not resolve after IL-13 withdrawal. MTOR substrate phosphorylation of RBS6, S6K1, and ULK1 was significantly elevated under baseline conditions, and at multiple timepoints independent of IL-13. Pharmacologic activation of MTOR led to increased IL-13-mediated MUC5AC levels in normal AEC but less robustly in COPD derived AEC. We hypothesized that persistent MTOR activation would reduce lysosome function and abundance in disease. COPD airways had reduced lysosome markers, LAMP1 and LAMP2 and fewer functional lysosomes by live-cell reporter probes. This lysosome deficiency in COPD AEC was partially rescued with MTOR inhibition. Conclusions: We provide evidence to support an axis of autonomous MTOR activation and impaired lysosome function in the COPD airway epithelium. Persistent MTOR signaling is a molecular driver that contributes to persistent MCM.

pathology↗

bioRxiv2026

Single-cell multiomic QTL mapping reveals state-dependent genetic regulation and associated gene during cellular senescence

How cellular senescence reshapes inherited regulatory effects across chromatin and transcription, and eventually contribute to non-coding risk loci of complex diseases, remains elusive. We generated single-cell multiome ATAC-RNA profiles from proliferating and replicatively senescent primary HUVECs derived from 100 genotyped donors. Alongside state-resolved eQTL and caQTL mapping, we implemented covariance-aware multivariate QTL mapping to identify chromatin accessibility-expression QTLs (caeQTLs), modeling accessibility and expression as a joint phenotype. Joint analysis recovered moderate, asymmetric and modality-distributed associations missed by single-modality scans, revealed senescence-associated regulatory programs, and prioritized candidate causal variants and effector genes at cardiovascular loci. Fine-mapping, chromatin-state annotation and heritability enrichment, together with independent SNP-to-gene algorithms, provided convergent orthogonal support. Mechanistic dissection revealed that rs2019090 modulates PDGFD expression and endothelial phenotypes through senescence-amplified, allele-specific, HMGA1-associated enhancer-promoter regulation. This study establishes senescence-resolved joint multiomic QTL mapping as a framework for narrowing the missing regulation gap in complex disease genetics.

genetics↗

bioRxiv2026

TH1834-Mediated TIP60 Inhibition Protects Against Ischemia/Reperfusion Damage in Human iPSC-Derived Cardiomyocytes and Cardioids

Ischemia/reperfusion injury limits functional recovery after myocardial infarction through mitochondrial dysfunction, oxidative stress, energetic failure, impaired calcium handling, and contractile dysfunction. We previously identified the acetyltransferase TIP60/KAT5 as a maladaptive regulator of post-ischemic cardiac injury and showed that pharmacologic TIP60 inhibition with TH1834 mitigates myocardial infarction injury in mice. Here, we tested whether TH1834 promotes recovery in complementary 2D and 3D human induced pluripotent stem cell-derived cardiomyocyte (hiPSC-CM) and cardioid (hiPSC-CO) models. Maturation-enhanced hiPSC-CMs subjected to hypoxia/reoxygenation (H/R) reproduced key features of ischemia/reperfusion injury, including mitochondrial loss, oxidative stress, cell death, impaired calcium handling, and contractile dysfunction. RNA sequencing further showed activation of stress programs and suppression of oxidative-metabolic pathways. At a non-arrhythmogenic dose, TH1834 inhibited TIP60 acetyltransferase activity, improved post-H/R survival and beating recovery, preserved mitochondrial and myofibrillar integrity, reduced reactive oxygen species, restored calcium transient kinetics, normalized sarcoplasmic reticulum calcium reserve, and improved contraction and relaxation. A central effect of TH1834 was enhancement of metabolic flexibility: following H/R, treatment restored mitochondrial respiratory capacity while simultaneously increasing glycolytic capacity and reserve. Because CM calcium cycling and mechanical work are highly dependent on energetic supply, this recovery of complementary oxidative and glycolytic capacity provides an energetic basis for improved calcium homeostasis and contractile recovery. Transcriptomic analysis supported this phenotype, showing preferential counter-regulation of H/R-induced stress programs and attenuation of persistent HIF1A-ARNT-PDK1 hypoxic metabolic signaling. In 3D hiPSC-COs, TH1834 similarly enhanced mitochondrial respiratory reserve and glycolytic capacity while improving calcium dynamics, contractile performance, beating recovery, and survival. Together, these findings identify enhanced metabolic flexibility as a central feature of TH1834-mediated protection against H/R, linking restoration of energetic capacity to preservation of calcium signaling and contractile function, supporting TIP60 as a therapeutic target for ischemic heart disease.

cell biology↗