Genetics

Integrated bulk and single-cell transcriptomic analysis reveals the impact of lactate-related genes on prognosis and immune characteristics in HNSCC.

Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis, accompanied by metabolic reprogramming and tumor microenvironment (TME) disorders. Lactate metabolism is critical for tumor progression and immune escape, but its regulatory mechanism and clinical value in HNSCC remain unclear. We integrated single-cell and bulk RNA-sequencing data to identify l...

Reframing Response in Neoadjuvant Chemotherapy for Ovarian Cancer: Integrating Molecular and Functional Biomarkers.

BACKGROUND: Neoadjuvant chemotherapy (NACT) is an established treatment strategy for advanced epithelial ovarian cancer, particularly for patients with high tumour burden or poor surgical fitness. Despite improvement in resectability and reducing perioperative morbidity, current methods for evaluating response, namely imaging, serum biomarkers and histopathology, lack sensitivity and fail to provi...

Variant-specific pharmacophoric shifts in glucagon-like peptide-1 receptor-orforglipron complexes revealed by Boltz-2 co-folding and membrane molecular dynamics.

BACKGROUND: Orforglipron (ORF), the first orally bioavailable non-peptide glucagon-like peptide-1 receptor (GLP-1R) agonist to complete Phase 3 clinic...

Unraveling the complexity of the oilseed rape genome: from sequencing to gene discovery for trait improvement.

Oilseed rape (Brassica napus) serves as a cornerstone of global vegetable oil production, yet its genetic improvement has historically been impeded by...

Prenatal environmental exposures associated with ADHD diagnosis in children: a multicentre exposome analysis.

Attention deficit hyperactivity disorder (ADHD) is one of the most diagnosed neurodevelopmental conditions. While its aetiology is primarily attribute...

Classification of SARS-CoV-2 Variants Through the Epistatic Circos Plots with Convolutional Neural Networks.

The COVID-19 pandemic has profoundly affected global health, driven by the remarkable transmissibility and mutational adaptability of the SARS-CoV-2 v...

Integrated deep learning and multi-scale modeling for the discovery of pan-genotypic HCV NS5B polymerase inhibitors.

Chronic Hepatitis C Virus (HCV) infection remains a significant global health challenge, necessitating the development of pan-genotypic inhibitors to ...

Cartilage oligomeric matrix protein inhibits CKD-associated vascular calcification by suppressing PANoptosis in VSMCs via the AT1R/β-arrestin-2 axis.

Vascular calcification (VC), a common complication of chronic kidney disease (CKD), substantially contributes to cardiovascular morbidity. Although di...

Decoding the epithelial-stromal interactome in allergic rhinitis through single-cell multi-omics integration.

BACKGROUND: Allergic rhinitis (AR) is a prevalent chronic condition, yet the cellular and molecular changes associated with its pathogenesis remain in...

Specimen quality shapes the actionable genomic landscape in comprehensive cancer genomic profiling.

Comprehensive genomic profiling (CGP) is widely used to identify actionable alterations and guide precision oncology, yet only a minority of tested pa...

A hybrid deep learning and attention fusion framework for intelligent zero-day threat detection in cloud web application firewalls.

Traditional Rule-Based Web Application firewalls (WAFs) are severely limited in defending against sophisticated attacks, such as zero-day exploits, po...

Integrative single-cell and spatial transcriptomic analysis reveals a lactate-driven crosstalk between NFATc4⁺ tumor cells and SPP1⁺ macrophages in glioblastoma.

BACKGROUND: Glioblastoma (GBM) remains a lethal brain tumor with limited therapeutic options. Metabolic reprogramming, particularly lactate metabolism...

RRM2B is associated with low-level viremia during entecavir therapy in pediatric chronic hepatitis B and promotes profibrotic signaling in vitro.

BACKGROUND: Low-level viremia (LLV) during nucleos(t)ide analogue therapy for chronic hepatitis B (CHB) is clinically relevant, but its biological bas...

TIPs: a deep learning-guided proteogenomic framework to expand the landscape of transposable element-derived antigens with immunopeptidomics.

Transposable elements (TEs) represent an abundant and important source of HLA-presented antigens, but their immunopeptidomic characterization remains ...

Integrating epigenetic and metabolic indicators for non-invasive endometrial cancer triage: a machine learning approach.

OBJECTIVE: Abnormal uterine bleeding (AUB) is a primary symptom indicative of endometrial cancer (EC), yet its diagnosis still primarily relies on inv...

AGTformer: Synergistic global transformer and adaptive graph gating for Accurate scRNA-seq clustering.

Single-cell RNA sequencing (scRNA-seq) enables transcriptomic profiling at single-cell resolution, but accurate identification of cell subpopulations ...

Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in pancreatic cancer.

PURPOSE: Cancer-associated fibroblasts (CAFs) are central drivers of PDAC progression and therapeutic resistance, yet their preoperative clinical util...

Conformational landscape of 2-aminopurine-substituted RNA oligonucleotides from machine-learning-driven enhanced sampling.

Fluorescent base analogs, such as 2-aminopurine (2AP), are frequently used to investigate nucleic acid conformational dynamics, particularly base-stac...

Exploring life's hidden majority: microbial dark matter symposium highlights.

The Microbial Dark Matter Symposium held on August 28-29, 2025, in Laguna Beach, Orange County, CA, convened a multidisciplinary group of scientists t...

Combining pathology artificial intelligence and genomic biomarkers to refine long-term postprostatectomy outcome prediction.

BACKGROUND: A multimodal AI (MMAI) model has been validated in prostate biopsy specimens to guide treatment intensification in men receiving radiation...