AIMC Topic: Gene Expression Profiling

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Identification and validation of biomarkers related to mitochondria during ex vivo lung perfusion for lung transplants based on machine learning algorithm.

Gene Nov 15, 2024
BACKGROUND: Ex vivo lung perfusion (EVLP) is a critical strategy to rehabilitate marginal donor lungs, thereby increasing lung transplantation (LTx) rates. Ischemia-reperfusion (I/R) injury inevitably occurs during LTx. Exploring the common mechanism...
Biomarkers Animals Male Lung Gene Expression Profiling Protein Interaction Maps Mice Mice, Inbred C57BL Humans Machine Learning Algorithms Reperfusion Injury Mitochondria Lung Transplantation Perfusion
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Deep learning-based models for preimplantation mouse and human embryos based on single-cell RNA sequencing.

Nature methods Nov 14, 2024
The rapid growth of single-cell transcriptomic technology has produced an increasing number of datasets for both embryonic development and in vitro pluripotent stem cell-derived models. This avalanche of data surrounding pluripotency and the process ...
Sequence Analysis, RNA Blastocyst Embryonic Development Cell Lineage Pluripotent Stem Cells Transcriptome Deep Learning Single-Cell Analysis Mice Humans Animals Gene Expression Profiling
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Identification of diagnostic genes and the miRNA‒mRNA‒TF regulatory network in human oocyte aging via machine learning methods.

Journal of assisted reproduction and genetics Nov 14, 2024
PURPOSE: Oocyte aging is a significant factor in the negative reproductive outcomes of older women. However, the pathogenesis of oocyte aging remains unclear. This study aimed to identify the hub genes involved in oocyte aging via bioinformatics meth...
Humans Machine Learning RNA, Messenger Transcription Factors MicroRNAs Cellular Senescence Female Gene Expression Profiling Gene Regulatory Networks Computational Biology Oocytes
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Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers.

Molecular medicine (Cambridge, Mass.) Nov 14, 2024
BACKGROUND: To utilize machine learning for identifying treatment response genes in diabetic foot ulcers (DFU).
Male Humans Gene Expression Profiling Computational Biology Machine Learning Transcriptome Wound Healing Biomarkers Single-Cell Analysis Diabetic Foot Female Calcium-Binding Proteins
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SpaInGNN: Enhanced clustering and integration of spatial transcriptomics based on refined graph neural networks.

Methods (San Diego, Calif.) Nov 13, 2024
Recent developments in spatial transcriptomics (ST) technology have markedly enhanced the proposed capacity to comprehensively characterize gene expression patterns within tissue microenvironments while crucially preserving spatial context. However, ...
Mice Cluster Analysis Animals Gene Expression Profiling Transcriptome Single-Cell Analysis Humans Neural Networks, Computer Algorithms
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Ferroptosis-related biomarkers for adamantinomatous craniopharyngioma treatment: conclusions from machine learning techniques.

Frontiers in endocrinology Nov 13, 2024
INTRODUCTION: Adamantinomatous craniopharyngioma (ACP) is difficult to cure completely and prone to recurrence after surgery. Ferroptosis as an iron-dependent programmed cell death, may be a critical process in ACP. The study aimed to screen diagnost...
Gene Expression Regulation, Neoplastic Biomarkers, Tumor Humans Ferroptosis Pituitary Neoplasms Machine Learning Male Craniopharyngioma Female Gene Expression Profiling Transcriptome
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Identification of TXN and F5 as novel diagnostic gene biomarkers of the severe asthma based on bioinformatics and machine learning analysis.

Autoimmunity Nov 12, 2024
Asthma poses a major threat to human health. The aim of this study was to identify genetic markers of severe asthma and analyze the relationship between key genes and immune infiltration. Differentially expressed genes (DEGs) were first screened by d...
Computational Biology Asthma Humans MicroRNAs Severity of Illness Index Machine Learning Gene Expression Regulation Gene Expression Profiling Thioredoxins Biomarkers Transcriptome
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Integration of Machine Learning and Experimental Validation to Identify Anoikis-Related Prognostic Signature for Predicting the Breast Cancer Tumor Microenvironment and Treatment Response.

Genes Nov 12, 2024
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The underlying role of ANRGs in the prognosis of breast cancer patients warrants further study. The anoikis-related prognostic signature (ANRS) was gene...
Middle Aged Antineoplastic Agents Gene Expression Profiling Transcriptome Anoikis Treatment Outcome Machine Learning Aged Real-Time Polymerase Chain Reaction Prognosis Breast Neoplasms Databases, Genetic Gene Expression Reverse Transcriptase Polymerase Chain Reaction Female Tumor Microenvironment Blotting, Western Predictive Value of Tests Immunotherapy Reproducibility of Results Imatinib Mesylate Biomarkers, Tumor Enzyme-Linked Immunosorbent Assay Drug Screening Assays, Antitumor Proportional Hazards Models
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Discovery of key molecular signatures for diagnosis and therapies of glioblastoma by combining supervised and unsupervised learning approaches.

Scientific reports Nov 11, 2024
Glioblastoma (GBM) is the most malignant brain cancer and one of the leading causes of cancer-related death globally. So, identifying potential molecular signatures and associated drug molecules are crucial for diagnosis and therapies of GBM. This st...
DNA Methylation Unsupervised Machine Learning Glioblastoma Supervised Machine Learning Gene Expression Profiling Humans Transcriptome Biomarkers, Tumor Gene Regulatory Networks Brain Neoplasms Gene Expression Regulation, Neoplastic Molecular Docking Simulation
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Analyzing immune cell infiltrates in skeletal muscle of infantile-onset Pompe disease using bioinformatics and machine learning.

Scientific reports Nov 11, 2024
Pompe disease, a severe lysosomal storage disorder, is marked by heart problems, muscle weakness, and respiratory difficulties. This study aimed to identify novel markers for infantile-onset Pompe disease by analyzing key genes and immune cells infil...
Gene Expression Profiling Computational Biology Muscle, Skeletal Glycogen Storage Disease Type II Humans Machine Learning Biomarkers Infant
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