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3689 results

Full text 2026

The Real-World Impact of Obesity on Quality of Life and Work Productivity in Spain: A Cross-Sectional Observational Study Involving Physicians and Individuals With Obesity

Rodríguez-Carnero G, Redondo-Antón J, Díaz-Cerezo S, et al.

<h4>Background</h4>Understanding how overweight and obesity impact quality of life, psychological well-being, and social functioning is essential for informing and optimizing patient-centric disease management strategies.<h4>Aims</h4>This study aims to investigate the humanistic burden of excess body weight …

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Bioinformatics
Full text 2026

Integration of human and mouse single-cell transcriptomes of the developing cerebellum nominates cells-of-origin for group 3 and 4 medulloblastoma

Cheong I, Lau L, Pai S.

The cerebellar rhombic lip neurogenic niche is critical for glutamatergic neurogenesis, and dysregulated differentiation of rhombic lip lineage cells is hypothesized to cause medulloblastoma (MB), a malignant pediatric cancer lacking targeted therapies. Humans have structural …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

Immunomodulatory Mechanism of Baiyaojian Decoction on Periodontitis: Network Pharmacology, Single-Cell RNA Sequencing and Molecular Docking

Chen BJ, Li MM, Zheng ZY, et al.

Periodontitis is one of the most common oral inflammatory diseases. Baiyaojian decoction, known for its prominent immunomodulatory and anti-inflammatory properties, shows significant potential in treating periodontitis, though its molecular mechanisms remain unknown. The active ingredients …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss

Cultrera di Montesano S, D'Ascenzo D, Raghavan S, et al.

Accurately annotating cell types is essential for extracting biological insight from single-cell RNA sequencing data. Although cell types are naturally organized into hierarchical ontologies, most computational models do not explicitly incorporate this structure into their …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

Comprehensive analysis of efferocytosis-related genes in diagnosis and immune infiltration in atherosclerosis: based on bulk and single-cell RNA sequencing data

Qian J, Zhang J, Wang J, et al.

<h4>Background</h4>Atherosclerosis (AS) is a widespread cardiovascular disorder that constitutes a major contributor to global morbidity and mortality, thereby imposing significant economic burdens on healthcare systems worldwide. Efferocytosis, the phagocytic removal of apoptotic cells, serves as …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

STC2-mediated calcium homeostasis dysregulation in the osteosarcoma microenvironment: Insights from single-cell sequencing and machine learning

Yao K, Jiawei Q, Jietao X, et al.

<h4>Background</h4>Osteosarcoma (OS) is an aggressive bone malignancy with a poor prognosis. Dysregulated calcium homeostasis may contribute to OS progression.<h4>Methods</h4>Various machine learning algorithms were integrated into multiple model combinations to identify key prognostic genes. Single-cell expression …

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Bioinformatics Single-Cell
Full text 2026

Combined patch-clamp electrophysiology and single-cell genomic analysis reveal spiking tumor cells at the neocortical glioblastoma interface in humans

Tong T, Hendriksen JD, Elbæk KJ, et al.

<h4>Background</h4>Electrophysiological features of glioblastoma cells (GBCs) remain largely elusive, challenging our comprehension of glioblastoma pathophysiology. Spiking GABAergic-oligodendrocyte-progenitor (OPC) tumor cells were recently described in IDH-mutant glioma, correlating with prolonged patient survival. Here, we characterize single-cell …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

Single-cell atlas of hepatic cellular plasticity and immune niche reprogramming in liver cirrhosis

Zhang Q, Zhou N, Kan X, et al.

<h4>Background</h4>Cirrhosis is a severe liver disease characterized by inflammation, fibrosis, and immune dysregulation. This study exploits publicly available single-cell sequencing datasets to decipher disease-relevant specific immune cell subtypes, their gene expression profiles and altered transcription …

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Bioinformatics Single-Cell Transcriptomics