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1073 results

Full text 2025

The NEAT1/miR-124-3p/CCL2 axis in chronic kidney disease progression: integrated bioinformatics analysis and experimental validation

Chen G, Zhang L, Wang Y, et al.

<h4>Background</h4>Chronickidney disease (CKD) is a major global health burden lacking effectivetherapies. Renal interstitial fibrosis (RIF) is a key pathological driver ofCKD progression. This study aimed to identify novel diagnostic biomarkers and therapeutictargets.<h4>Research design and methods</h4>Weanalyzed …

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Bioinformatics Single-Cell
Full text 2025

Current Bioinformatics Tools in Precision Oncology

Wolde T, Bhardwaj V, Pandey V.

Integrating bioinformatics tools has profoundly transformed precision oncology by identifying essential molecular targets for personalized treatment. The rapid development of high-throughput sequencing and multiomics technologies creates complex datasets that require robust computational methods to extract …

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Bioinformatics Single-Cell
Full text 2026

Artificial intelligence-enabled multi-omics biomarkers for immune checkpoint blockade: mechanisms, predictive modeling, and clinical translation

Wang X, Xiong D, Cui S, et al.

Immune checkpoint inhibitors (ICIs) have transformed oncology, yet durable benefit remains confined to a minority of patients, revealing the limitations of single biomarkers such as PD-L1 expression, tumor mutational burden, and microsatellite instability. Multi-omics profiling, …

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Epigenetics Metagenomics Single-Cell
Full text 2025

Integrating Artificial Intelligence in Next-Generation Sequencing: Advances, Challenges, and Future Directions

Athanasopoulou K, Michalopoulou VI, Scorilas A, et al.

The integration of artificial intelligence (AI) into next-generation sequencing (NGS) has revolutionized genomics, offering unprecedented advancements in data analysis, accuracy, and scalability. This review explores the synergistic relationship between AI and NGS, highlighting its transformative …

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Basecalling Bioinformatics Epigenetics
Full text 2025

Single-cell epigenetics and multiomics analysis in kidney research

Aihara S, Muto Y.

The rapid evolution of single-cell sequencing technologies has significantly advanced our knowledge of cellular heterogeneity and the underlying molecular basis in healthy and diseased kidneys. While single-cell transcriptomic analysis excels in characterizing cell states in …

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Epigenetics Single-Cell Transcriptomics
Full text 2026

PTM encoding: decoding the mechanisms of exercise-induced metabolic memory through spatiotemporal modification networks

Shen Y, Mao Z, Zhang X, et al.

Post-translational modifications (PTMs) form a sophisticated regulatory layer that modulates cellular responses to physiological stimuli, notably exercise-triggered metabolic adaptations like skeletal muscle glucose uptake. Understanding PTM-mediated regulatory logic, namely how several well-characterized PTMs coordinate spatiotemporally …

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Single-Cell
Full text 2026

Multi-Omics Integration for Advancing Glioma Precision Medicine

Guarnaccia M, La Cognata V, Gentile G, et al.

Gliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments. Advances in high-throughput technologies have …

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Bioinformatics Epigenetics Single-Cell