EZH2 variants derived from cryptic splice sites govern distinct epigenetic patterns during embryonic development.

EZH2 catalyzes H3K27me3 and is essential for embryonic development. Although multiple EZH2 variants have been identified, the functional implications and physiological significance of its heterogeneity remain unclear. Here, we revealed that conserved cryptic splice sites generated two EZH2 variants with (EZH2A) or without (EZH2B) a 27-nt region, coding for a 9-aa segment.

Phage therapy modulates the gut microbiome and immune responses in non-typhoidal Salmonella-induced colitis.

Inflammatory bowel disease (IBD) encompasses two main conditions: Crohn's disease and ulcerative colitis. The role of foodborne pathogens, often transmitted through contaminated food, is a subject of ongoing research regarding their potential involvement in IBD. The most common foodborne pathogens S.

Anti-M1R/B6R antibody characterization and bispecific design for enhanced orthopoxvirus protection.

The global outbreak of the mpox in humans, caused by the mpox virus (MPXV), underscores the urgent need for safe and effective therapeutics. In this study, we characterized the dominant MPXV immunogens, M1R and B6R, by sequencing monoclonal antibodies (MAbs) from the immunized mice and analyzing their epitopes and functions through in vitro and in vivo assessments of binding and antiviral activities. Several broadly effective anti-M1R and anti-B6R neutralizing MAbs were identified and they exhibited enhanced antiviral effects against MPXV or vaccinia virus (VACV) when used in antibody cocktail and bispecific antibody designs.

Pay-It-Forward 23-Valent Pneumococcal Polysaccharide Vaccination Among Older Adults: Protocol for a Randomized Controlled Trial.

Background: The 23-valent pneumococcal polysaccharide vaccine reduces the risk of pneumonia among adults by 38% to 46%. However, only a few older adults in resource-limited areas of China have received the pneumococcal vaccination. Pay-it-forward is a social innovation that offers participants free or subsidized health services and a community-engaged message, with an opportunity to donate to support subsequent recipients.

Fluorescent Self-Healing Elastomers with Triple Dynamic Bonds for 2D/3D Printed Information Encryption.

The development of novel optical self-healing materials holds significant importance for applications in anticounterfeiting and information encryption, but remains a formidable challenge. This study presents a fluorescent self-healing material designed for 2D/3D printing anticounterfeiting applications, exhibiting outstanding properties such as high transmittance, excellent mechanical strength, and remarkable self-healing efficiency. The triple dynamic bond networks provide robust mechanical and self-healing capabilities, with the polymer demonstrating a tensile strength of 26.

All-In-One Iontronic Sensing Aligner for High-Precision 3D Orthodontic Force Monitoring.

Clear aligners offer aesthetic and comfort advantages in orthodontics, yet their ability to deliver effective forces relies heavily on empirical judgment or large-scale optical scanning, lacking real-time quantitative evaluation. Integrating pressure sensors into aligners is a promising solution, but challenges in miniaturization, multi-dimensional sensing, measurement accuracy, and biocompatibility hinder clinical application. Here, an all-in-one Orthodontic Force Acquisition System (OFAS) is presented that enables real-time, 3D force monitoring using a cross-shaped iontronic sensing array and an origami-inspired, wireless battery-free readout circuit miniaturized for single-tooth placement.

Mathematical model suggests current CAR-macrophage dosage is efficient to low pre-infusion tumour burden but refractory to high tumour burden.

Chimeric antigen receptor (CAR)-macrophage therapy is a promising approach for tumour treatment due to antigen-specific phagocytosis and tumour clearance. However, the precise impact of tumour burden, dose and dosing regimens on therapeutic outcomes remains poorly understood. We developed ordinary differential equation (ODE) mathematical modelling and utilised parameter inference to analyse in vitro FACS-based phagocytosis assay data testing CD19-positive Raji tumour cell against CAR-macrophage, and revealed that phagocytosing efficiency of CAR-macrophage increases but saturates as both Raji cell and CAR-macrophage concentrations increase.

Amplification-free CRISPR/Cas12a biosensor integrating AuNPs-mediated surface plasmon resonance for human papillomavirus detection and genotyping.

Screening for high-risk human papillomavirus (hrHPV) infection is essential for cervical cancer prevention. However, developing a simple, portable, and low-cost hrHPV genotyping method remains challenging, particularly in resource-limited settings. Herein, we present an innovative amplification-free, point-of-care hrHPV genotyping platform integrating CRISPR/Cas12a with alkaline phosphatase (ALP)-mediated surface plasmon effect.

An arbitrary-modal fusion network for volumetric cranial nerves tract segmentation.

The segmentation of cranial nerves (CNs) tract provides a valuable quantitative tool for the analysis of the morphology and trajectory of individual CNs. Multimodal CN segmentation networks, e.g.

Noninvasive assessment of glymphatic system alterations as potential biomarkers for predicting overall survival in glioma.

Objective: In this retrospective study, authors aimed to evaluate the glymphatic function alterations associated with glioma and explore the prognostic value of these alterations by calculating the index for diffusivity along the perivascular space (ALPS index).

Methods: The authors utilized data from the publicly available University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) dataset, which includes 501 adult patients with histopathologically confirmed diffuse glioma, per the 2021 WHO classification, who underwent preoperative MRI, initial tumor resection, and tumor genetic testing at a single medical center from 2015 to 2021.The ALPS index was calculated from diffusivity maps for noninvasive glymphatic system (GS) analysis.

Comparative analysis of endplate volumetric bone mineral density and endplate vertebral bone quality for predicting cage subsidence in lateral lumbar interbody fusion.

Objective: The aim of this study was to compare the predictive efficacy of quantitative CT (QCT)-based endplate volumetric bone mineral density (EP-vBMD) and MRI-based endplate vertebral bone quality (EBQ) score for cage subsidence (CS) after lateral lumbar interbody fusion (LLIF).

Methods: A retrospective study was conducted on patients who underwent single-level LLIF in conjunction with pedicle screw fixation at the authors' institution between January 2019 and April 2023. The volumetric bone mineral density (vBMD) was measured based on preoperative CT using phantom-less QCT software.

Heterointerface-Enhanced Active Hydrogen Generation in Ru/RuOx/CNTs for Nitrate Reduction to Ammonia at Low Overpotentials.

Ru/RuOx/CNTs heterostructured materials are synthesized using an in situ method. The Ru─RuOx heterostructure facilitates active hydrogen dissociation, leading to excellent catalytic performance in nitrate reduction, with ammonia as the primary product at low overpotentials. The process achieves Faradaic efficiencies of ammonia exceeding 90% and a production rate of 1.

Homo-layer flexible BiTe-based films with high thermoelectric performance.

Here, we demonstrate unconventional scalable and sustainable manufacturing of flexible n-type BiTe films via physical vapor deposition and homo-layer fusion engineering. The achieved ultrahigh power factor of up to 30.0 microwatts per centimeter per square kelvin and ultralow lattice thermal conductivity of 0.

Real-time corneal image segmentation for cataract surgery based on detection framework.

Objective: Cataract surgery is among the most frequently performed procedures worldwide. Accurate, real-time segmentation of the cornea and surgical instruments is vital for intraoperative guidance and surgical education. However, most existing deep learning-based segmentation methods depend on pixel-level annotations, which are time-consuming and limit practical deployment.

Interfacial chemistry regulation by orbital hybridization for superior kinetics of hard carbon in an ester-based electrolyte.

Hard carbon is the most commercially viable anode material for sodium-ion batteries (SIBs), yet its application in ester-based electrolytes is hindered by sluggish interfacial ion diffusion and limited sodium nucleation kinetics. After comprehensive evaluation, an interfacial chemistry regulation strategy was proposed based on orbital hybridization between bismuth and electrolyte ions, which was realized through the introduction of ammonium bismuth citrate. The surface bismuth particles regulate the formation of a NaF-rich SEI through improved anion affinity.

Sensitive Bioassay with an Ultralarge Dynamic Range via Microlaser Ensemble Quenching.

We present a bioassay platform that leverages the lasing threshold distribution in a microlaser ensemble (ME), consisting of hundreds of individual microlasers, to measure analyte concentrations in solution. An ME is formed by placing dye-doped microbeads in a micro Fabry-Perot cavity. The microbeads are surface-modified with biorecognition molecules to capture analytes, while the quenchers resulting from the presence of the analytes on the microbeads' surfaces increase the lasing thresholds of the microlasers.

Three-dimensional quantitative evaluation of hypertension-induced aortic fibre remodelling based on multiphoton microscopy: a cross-age perspective.

Hypertension is the primary cause of cardiovascular diseases, and its worldwide prevalence has continued to increase recently. Aortic fibre remodelling is critical in the development of hypertension and is strikingly age-related. However, the underlying microlevel variations remain unknown.

3D Spatial Learning for Adsorption Energy Prediction in Multi-Temporal Solution Systems: The MTSS Data Set and a GCN-Based Network.

Existing methods for adsorption energy prediction primarily focus on individual molecules or static molecular pairs, lacking the capabilities to model the diverse spatial configurations found in complex solution systems. While traditional data sets are static, dynamic systems explore a vast conformational space over time. This paper introduces the Multi-Temporal Solution System (MTSS) data set containing 500,000 temporally resolved configurations (3D atomic coordinates + adsorption energy labels) across five solvents.

A de novo-originated gene drives rose scent diversification.

How evolution builds genes, how these genes attain enhanced expression, and how they integrate into existing regulatory networks to drive phenotypic diversification are all fascinating questions. Here, we generated chromosome-level genome assemblies for two Rosa banksiae subspecies and re-sequenced an additional 40 rose accessions. Genomic analysis of more than 100 Rosa accessions revealed multiple evolutionary steps leading to the de novo origination of a taxon-restricted gene, SCREP, specific to the rose lineage.

A family of homologous metal heteromaterials with chemically bonded metallic interface.

Heteromaterials made of two different components have been widely studied; their interfacial bonding is essential to control their properties. How to prepare a chemically bonded metallic interface remains elusive, despite its importance for structural and functional materials. Here we synthesized a family of homologous metal heteromaterials (HMHs) featuring chemically bonded metallic interfaces, which endow them with strong interfacial binding forces and metallic conductivity.

Efficient Recovery and Fast Hydrolysis of Polyethylene Terephthalate by Dihydrolevoglucosenone (Cyrene).

Polyethylene terephthalate (PET) is a versatile, relatively low-cost thermoplastic polymer, but its nonbiodegradability and extensive use lead to significant accumulation and environmental risks. The main roadblocks of current plastic recycling technologies include low-quality recycled plastics and inefficient degradation under harsh conditions, which highlights the urgent need to develop efficient and sustainable recycling processes. Herein, for the first time, a strategy is developed using bio-based solvent dihydrolevoglucosenone (Cyrene) for efficient recycling of waste PET-to-polymer or monomer.

Machine learning-guided construction of MoS/MoO heterostructures on hollow carbon shells for polysulfide mitigation in lithium-sulfur batteries.

The commercialization of lithium‑sulfur (LiS) batteries faces fundamental issues from polysulfide shuttling to inefficient redox kinetics, compounded by the absence of systematic methods for catalyst design. Herein, we present a machine learning (ML)-driven strategy to design MoS/MoO heterostructures anchored on nitrogen-doped hollow carbon shells (NCS) via gradient boosting decision trees modeling. The ML-guided optimization identifies critical synthesis parameters (e.

ST-deconv: an accurate deconvolution approach for spatial transcriptome data utilizing self-encoding and contrastive learning.

Single-cell RNA sequencing (scRNA-seq) has significantly deepened our understanding of cellular heterogeneity and cell type interactions, providing insights into how cell populations adapt to environmental variability. However, its lack of spatial context limits intercellular analysis. Similarly, existing spatial transcriptomics (ST) data often lack single-cell resolution, restricting cellular mapping.

Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics.

Circular RNAs (circRNAs), a class of gene expression regulators with closed loop structures, have been implicated in the pathogenesis of various diseases, including bladder cancer (BC). Their stability in and presence in body fluids suggest potential as diagnostic and prognostic biomarkers. This study employed an ensemble model integrating deep learning, feature selection, and statistical analysis to identify BC-associated circRNA biomarkers from RNA-sequencing data of 454 BC patients and 19 healthy controls.

Cathode Design via Iron-Coordinated Covalent Organic Frameworks Facilitating Four-Electron Transfer to Achieve High-Capacity Aqueous zinc-iodine Batteries.

The variable valence states of iodine(I) render Zn-I batteries an intriguing area of research. However, current Zn-I batteries are mostly based on I/I redox chemistry. Effective strategies for activating the high-voltage I/I redox couple in iodine-based cathode materials remain relatively scarce.