AIMC Topic: Gene Expression Profiling

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

Frontiers in immunology Apr 17, 2025
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...
Gene Expression Regulation, Neoplastic Gene Expression Profiling Humans Gene Regulatory Networks Databases, Genetic Machine Learning Lung Neoplasms Autophagy Biomarkers, Tumor Computational Biology Mitochondria Adenocarcinoma of Lung Mitophagy
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Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer.

Frontiers in immunology Apr 16, 2025
BACKGROUND: Breast cancer is the most common malignancy in women globally, with significant heterogeneity affecting prognosis and treatment. RNA-binding proteins play vital roles in tumor progression, yet their prognostic potential remains unclear. T...
Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling Machine Learning Prognosis Female Transcriptome Single-Cell Analysis RNA-Binding Proteins Humans Gene Expression Regulation, Neoplastic Artificial Intelligence
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Identification and Validation of Ferritinophagy-Related Biomarkers in Periodontitis.

International dental journal Apr 15, 2025
OBJECTIVE: While ferritinophagy is believed to play a significant role in the development of periodontitis, the exact mechanisms remain unclear. This study aimed to investigate the biomarkers associated with ferritinophagy in periodontitis using tran...
Biomarkers Gene Expression Profiling Transcriptome Protein Interaction Maps Humans Machine Learning Gene Regulatory Networks Periodontitis Ferritins
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Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning.

Frontiers in immunology Apr 15, 2025
INTRODUCTION: Aging is characterized by gradual structural and functional changes in the body over time, with intervertebral disc degeneration (IVDD) representing a key manifestation of spinal aging and a major contributor to low back pain (LBP).
Intervertebral Disc Degeneration Humans Receptors, IgG Machine Learning Fas Ligand Protein Aging Biomarkers Middle Aged Aged Female Gene Expression Profiling Adult Computational Biology Male
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Identification of M1 macrophage infiltration-related genes for immunotherapy in Her2-positive breast cancer based on bioinformatics analysis and machine learning.

Scientific reports Apr 11, 2025
Over the past several decades, there has been a significant increase in the number of breast cancer patients. Among the four subtypes of breast cancer, Her2-positive breast cancer is one of the most aggressive breast cancers. In this study, we screen...
Immunotherapy Gene Expression Regulation, Neoplastic Receptor, ErbB-2 Prognosis Female Breast Neoplasms Biomarkers, Tumor Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Computational Biology Humans Machine Learning Macrophages
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Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning.

BMC genomics Apr 10, 2025
This study evaluates the concordance between RNA sequencing (RNA-Seq) and NanoString technologies for gene expression analysis in non-human primates (NHPs) infected with Ebola virus (EBOV). A detailed comparison of both platforms revealed a strong co...
Dendritic Cells RNA-Seq Humans Ebolavirus Machine Learning Hemorrhagic Fever, Ebola 2',5'-Oligoadenylate Synthetase Animals Gene Expression Profiling
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Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning.

Scientific reports Apr 10, 2025
Atherosclerosis is the major cause of cardiovascular diseases worldwide, and AIDS linked with chronic inflammation and immune activation, increases atherosclerosis risk. The application of bioinformatics and machine learning to identify hub genes for...
Acquired Immunodeficiency Syndrome Databases, Genetic Atherosclerosis Receptors, CCR5 Transcriptome Protein Interaction Maps Gene Regulatory Networks Computational Biology Humans Machine Learning Gene Expression Profiling
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Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms.

Frontiers in immunology Apr 10, 2025
BACKGROUND: The bile acid metabolism (BAM) and fatty acid metabolism (FAM) have been implicated in Kawasaki disease (KD), but their precise mechanisms remain unclear. Identifying signature cells and genes related to BAM and FAM could offer a deeper u...
Humans Machine Learning Biomarkers Gene Expression Profiling Transcriptome Single-Cell Analysis Fatty Acids Monocytes Sequence Analysis, RNA Mucocutaneous Lymph Node Syndrome
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Integrative Multi-Omics Analysis Reveals Molecular Subtypes of Ovarian Cancer and Constructs Prognostic Models.

Journal of immunotherapy (Hagerstown, Md. : 1997) Apr 9, 2025
Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to identify molecular subtypes of OV through integrative multi-omics analysis and construct machine learning-based prognostic models for predicting the ef...
Gene Expression Profiling Transcriptome Humans Gene Regulatory Networks Genomics Machine Learning Prognosis Female Databases, Genetic Biomarkers, Tumor DNA Copy Number Variations Ovarian Neoplasms Mutation Computational Biology Immunotherapy Multiomics Gene Expression Regulation, Neoplastic
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Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma.

BMC cancer Apr 9, 2025
OBJECTIVE: The assessment of immunotherapy plays a pivotal role in the clinical management of skin melanoma. Graph neural networks (GNNs), alongside other deep learning algorithms and bioinformatics approaches, have demonstrated substantial promise i...
Skin Neoplasms Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling Humans Neural Networks, Computer Prognosis Melanoma Gene Expression Regulation, Neoplastic Graph Neural Networks Transcriptome Computational Biology Immunotherapy
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