AIMC Topic: Gene Expression Regulation

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Construction of a deep learning model and identification of the pivotal characteristics of FGF7- and MGST1- positive fibroblasts in heart failure post-myocardial infarction.

International journal of biological macromolecules Apr 19, 2025
Dysregulation of fibroblast function is closely associated with the occurrence of heart failure after myocardial infarction (post-MI HF). Myocardial fibrosis is a detrimental consequence of aberrant fibroblast activation and extracellular matrix depo...
Heart Failure Gene Expression Regulation Fibroblast Growth Factor 7 Deep Learning Mice Humans Fibroblasts Animals Myocardial Infarction Male
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ASS1 is a hub gene and possible therapeutic target for regulating metabolic dysfunction-associated steatotic liver disease modulated by a carbohydrate-restricted diet.

Molecular diversity Apr 17, 2025
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liver disease globally. A low-carbohydrate diet (LCD) offers benefits to MASLD patients, albeit its exact mechanism is not fully understood. Using public...
Diet, Carbohydrate-Restricted Argininosuccinate Synthase Protein Interaction Maps Fatty Liver Gene Expression Regulation Gene Expression Profiling Transcriptome Humans Machine Learning
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TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data.

Nature communications Apr 16, 2025
It is challenging to identify regulatory transcriptional regulators (TRs), which control gene expression via regulatory elements and epigenomic signals, in context-specific studies on the onset and progression of diseases. The use of large-scale mult...
Humans Deep Learning Gene Expression Regulation Binding Sites Regulatory Elements, Transcriptional Chromatin Computational Biology Epigenomics Transcription Factors
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Revealing the Oxidative Stress-Related Molecular Characteristics and Potential Therapeutic Targets of Schizophrenia through Integrated Gene Expression Data Analysis.

Molecular neurobiology Apr 11, 2025
Schizophrenia is a severe mental disorder characterized by oxidative stress imbalances. The underlying mechanisms of oxidative stress-related gene expression in schizophrenia require further investigation. Additionally, the diagnosis of schizophrenia...
Humans Molecular Docking Simulation Gene Regulatory Networks Schizophrenia Gene Expression Regulation Molecular Targeted Therapy Gene Expression Profiling Oxidative Stress Protein Interaction Maps
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Investigation and validation of genes associated with endoplasmic reticulum stress in diabetic retinopathy using various machine learning algorithms.

Experimental eye research Mar 3, 2025
BACKGROUND: Diabetic retinopathy (DR) is a common complication of diabetes, with Endoplasmic reticulum stress (ERS) playing a key role in cellular adaptation, injury, or apoptosis, impacting disease pathology. This study aimed to identify early diagn...
Endoplasmic Reticulum Stress Endoplasmic Reticulum Chaperone BiP ROC Curve Heat-Shock Proteins Gene Expression Regulation Humans Diabetic Retinopathy Machine Learning Male Gene Expression Profiling Algorithms Biomarkers
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Machine learning analysis of gene expression profiles of pyroptosis-related differentially expressed genes in ischemic stroke revealed potential targets for drug repurposing.

Scientific reports Feb 27, 2025
The relationship between ischemic stroke (IS) and pyroptosis centers on the inflammatory response elicited by cerebral tissue damage during an ischemic stroke event. However, an in-depth mechanistic understanding of their connection remains limited. ...
Pyroptosis Gene Expression Profiling Humans Gene Expression Regulation Transcriptome Machine Learning Drug Repositioning Ischemic Stroke
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Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

International journal of medical sciences Feb 10, 2025
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiological and genetic similarities to humans The objective of this study was to identify genes involved in cataractogenesis due to galactose exposure in ...
Transcription Factors Disease Models, Animal Cataract Male Humans Lens, Crystalline Galactose Gene Expression Profiling Machine Learning Gene Expression Regulation Animals Rats
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A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions.

Nature communications Feb 3, 2025
Cells are regulated at multiple levels, from regulations of individual genes to interactions across multiple genes. Some recent neural network models can connect molecular changes to cellular phenotypes, but their design lacks modeling of regulatory ...
Humans Transcription Factors Diabetes Mellitus, Type 2 Gene Expression Regulation Single-Cell Analysis Hair Follicle Neural Networks, Computer Gene Regulatory Networks Animals Mice Polymorphism, Single Nucleotide
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From Genes to Metabolites: HSP90B1's Role in Alzheimer's Disease and Potential for Therapeutic Intervention.

Neuromolecular medicine Jan 6, 2025
Alzheimer's disease (AD) is a prototypical neurodegenerative disorder, predominantly affecting individuals in the presenile and elderly populations, with an etiology that remains elusive. This investigation aimed to elucidate the alterations in anoik...
Gene Expression Regulation Aged Mice, Transgenic Humans Animals MicroRNAs Machine Learning Disease Models, Animal HSP90 Heat-Shock Proteins Male Amyloid beta-Peptides Alzheimer Disease Biomarkers Mice, Inbred C57BL Female Mice Hippocampus Cell Survival
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Deciphering the cellular and molecular landscape of pulmonary fibrosis through single-cell sequencing and machine learning.

Journal of translational medicine Jan 2, 2025
Pulmonary fibrosis is characterized by progressive lung scarring, leading to a decline in lung function and an increase in morbidity and mortality. This study leverages single-cell sequencing and machine learning to unravel the complex cellular and m...
Lung Single-Cell Analysis Mice Fibroblasts Pulmonary Fibrosis Bleomycin Mice, Inbred C57BL Humans Machine Learning Animals Male Gene Expression Regulation
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