Mitochondria

Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder.

Nature communications 40320395

Mitochondria play a key role in energy production and metabolism, making them a promising target for metabolic engineering and disease treatment. However, despite the known influence of passenger proteins on localization efficiency, only a few protei...

Animals Autoencoder Eukaryota Humans Mitochondria Peptides Protein Transport

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Mitochondrial dysfunction and cell death induced by Toona sinensis leaf extracts through MEK/ERK signaling in glioblastoma cells.

PloS one 40343958

Toona sinensis, a kind of phytochemicals in traditional Chinese medicine widely used in South-East Asia, has been recognized for its anticancer properties, particularly against various types of cancer. We aimed to evaluate the effectiveness of T. sin...

Apoptosis Cell Line, Tumor Cell Proliferation Glioblastoma Humans MAP Kinase Signaling System Membrane Potential, Mitochondrial Mitochondria Plant Extracts Plant Leaves Reactive Oxygen Species

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Gui-Pi-Tang Defers Skeletal Muscle and Cardiac Muscle Aging by Promoting Mitochondrial Remodeling.

Drug design, development and therapy 40291160

PURPOSE: To determine whether Gui-Pi-Tang (GPT) has protective effects on skeletal muscle and cardiac muscle in aged mice.

Aging Animals Cell Line Drugs, Chinese Herbal Galactose Male Mice Mice, Inbred C57BL Mitochondria Muscle, Skeletal Myocardium Rats

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Machine Learning Assisted Stroke Prediction in Mechanical Circulatory Support: Predictive Role of Systemic Mitochondrial Dysfunction.

ASAIO journal (American Society for Artificial Internal Organs : 1992) 40310715

Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients after continuous-flow left ventricular assist device (CF-LVAD) implantation. Abnormalities in mitochondrial oxidative phosphorylation (OxPhos) have been ...

Aged Female Heart Failure Heart-Assist Devices Humans Machine Learning Male Middle Aged Mitochondria Oxidative Phosphorylation Stroke

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The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.

Frontiers in immunology 40313958

OBJECTIVE: Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality globally, highlighting the urgent need for novel insights finto its molecular mechanisms. This study aims to investigate the relationship between gene e...

Adenocarcinoma of Lung Autophagy Biomarkers, Tumor Computational Biology Databases, Genetic Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Lung Neoplasms Machine Learning Mitochondria Mitophagy

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Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.

Frontiers in endocrinology 40213100

PURPOSE: We aimed to identify the mitochondria-related feature genes associated with type 2 diabetes mellitus and explore their potential roles in immune cell infiltration.

Databases, Genetic Diabetes Mellitus, Type 2 Gene Expression Profiling Gene Regulatory Networks Humans Machine Learning Mitochondria

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Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy.

Scientific reports 40301504

This study looked at possible targets for hypertrophic cardiomyopathy (HCM), a condition marked by thickening of the ventricular wall, primarily in the left ventricle. We employed differential gene analysis and weighted gene co-expression network ana...

Animals Cardiomyopathy, Hypertrophic Disease Models, Animal Gene Expression Profiling Gene Regulatory Networks Humans Machine Learning Mitochondria Molecular Docking Simulation Protein Interaction Maps Transcriptome

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Identification and verification of mitochondria-related genes biomarkers associated with immune infiltration for COPD using WGCNA and machine learning algorithms.

Scientific reports 40274954

Mitochondrial dysfunction plays a pivotal role in the pathogenesis of chronic obstructive pulmonary disease (COPD). This study combines bioinformatics analysis with machine learning to elucidate potential key mitochondrial-related genes associated wi...

Algorithms Animals Biomarkers Computational Biology Gene Expression Profiling Gene Regulatory Networks Genes, Mitochondrial Humans Machine Learning Mice Mitochondria Pulmonary Disease, Chronic Obstructive

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Oxidative Phosphorylation Pathway in Ankylosing Spondylitis: Multi-Omics Analysis and Machine Learning.

International journal of rheumatic diseases 40296690

INTRODUCTION: Ankylosing spondylitis (AS) is a chronic inflammatory disease affecting the axial skeleton, characterized by immune microenvironment dysregulation and elevated cytokines like TNF-α and IL-17. Mitochondrial oxidative phosphorylation (OXP...

Adult Case-Control Studies Female Gene Expression Profiling Gene Regulatory Networks Humans Leukocytes, Mononuclear Machine Learning Male Middle Aged Mitochondria Multiomics Oxidative Phosphorylation RNA-Seq Signal Transduction Single-Cell Analysis Spondylitis, Ankylosing Transcriptome

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Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors.

PloS one 40367215

Depression presents a significant challenge to global mental health, often intertwined with factors including oxidative stress. Although the precise relationship with mitochondrial pathways remains elusive, recent advances in machine learning present...

Adult Algorithms Biomarkers Depression Depressive Disorder, Major Female Humans Machine Learning Male Middle Aged Mitochondria Oxidative Stress Peptides Severity of Illness Index

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Explore the latest research on artificial intelligence and machine learning in medicine.

Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder.

Mitochondrial dysfunction and cell death induced by Toona sinensis leaf extracts through MEK/ERK signaling in glioblastoma cells.

Gui-Pi-Tang Defers Skeletal Muscle and Cardiac Muscle Aging by Promoting Mitochondrial Remodeling.

Machine Learning Assisted Stroke Prediction in Mechanical Circulatory Support: Predictive Role of Systemic Mitochondrial Dysfunction.

The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.

Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.

Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy.

Identification and verification of mitochondria-related genes biomarkers associated with immune infiltration for COPD using WGCNA and machine learning algorithms.

Oxidative Phosphorylation Pathway in Ankylosing Spondylitis: Multi-Omics Analysis and Machine Learning.

Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors.

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