AIMC Topic: Transcriptome

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Construction of a molecular diagnostic system for neurogenic rosacea by combining transcriptome sequencing and machine learning.

BMC medical genomics Sep 13, 2024
Patients with neurogenic rosacea (NR) frequently demonstrate pronounced neurological manifestations, often unresponsive to conventional therapeutic approaches. A molecular-level understanding and diagnosis of this patient cohort could significantly g...
Rosacea Adult Male Middle Aged Gene Expression Profiling Molecular Diagnostic Techniques Transcriptome Cluster Analysis Biomarkers Humans Female Machine Learning
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Machine-Learning Analysis of Streptomyces coelicolor Transcriptomes Reveals a Transcription Regulatory Network Encompassing Biosynthetic Gene Clusters.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 12, 2024
Streptomyces produces diverse secondary metabolites of biopharmaceutical importance, yet the rate of biosynthesis of these metabolites is often hampered by complex transcriptional regulation. Therefore, a fundamental understanding of transcriptional ...
Gene Regulatory Networks Multigene Family Gene Expression Regulation, Bacterial Machine Learning Gene Expression Profiling Transcriptome Secondary Metabolism Streptomyces coelicolor
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Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis.

NPJ biofilms and microbiomes Sep 12, 2024
At present, the diagnosis of lower respiratory tract infections (LRTIs) is difficult, and there is an urgent need for better diagnostic methods. This study enrolled 136 patients from 2020 to 2021 and collected bronchoalveolar lavage fluid (BALF) spec...
Male Middle Aged Transcriptome Respiratory Tract Infections Bronchoalveolar Lavage Fluid Klebsiella pneumoniae Microbiota Female Aged Adult Humans Machine Learning
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Identification of neutrophil extracellular trap-related biomarkers in non-alcoholic fatty liver disease through machine learning and single-cell analysis.

Scientific reports Sep 10, 2024
Non-alcoholic Fatty Liver Disease (NAFLD), noted for its widespread prevalence among adults, has become the leading chronic liver condition globally. Simultaneously, the annual disease burden, particularly liver cirrhosis caused by NAFLD, has increas...
Machine Learning Biomarkers Gene Expression Profiling Transcriptome Humans Non-alcoholic Fatty Liver Disease Single-Cell Analysis Extracellular Traps Neutrophils
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Machine learning algorithm-based biomarker exploration and validation of mitochondria-related diagnostic genes in osteoarthritis.

PeerJ Sep 10, 2024
The role of mitochondria in the pathogenesis of osteoarthritis (OA) is significant. In this study, we aimed to identify diagnostic signature genes associated with OA from a set of mitochondria-related genes (MRGs). First, the gene expression profiles...
Gene Expression Profiling Transcriptome Humans Machine Learning Osteoarthritis Algorithms Mitochondria Biomarkers
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Metabolic phenotyping combined with transcriptomics metadata fortifies the diagnosis of early-stage Hepatocellular carcinoma.

Journal of advanced research Sep 6, 2024
INTRODUCTION: The low sensitivity of alpha-fetoprotein (AFP) renders it unsuitable as a stand-alone marker for early hepatocellular carcinoma (eHCC) surveillance. Therefore, additional blood-based biomarkers with enhanced sensitivities are required.
Biomarkers, Tumor Male Middle Aged Gene Expression Profiling Humans Phenotype Female Early Detection of Cancer Metabolomics alpha-Fetoproteins Metadata Transcriptome Liver Neoplasms Carcinoma, Hepatocellular
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Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis.

Orthopaedic surgery Sep 5, 2024
OBJECTIVE: Osteoporosis is a severe bone disease with a complex pathogenesis involving various immune processes. With the in-depth understanding of bone immune mechanisms, discovering new therapeutic targets is crucial for the prevention and treatmen...
Osteoporosis Humans Female Machine Learning Gene Expression Profiling Computational Biology Multiomics Transcriptome Single-Cell Analysis
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Integrated transcriptomic analysis and machine learning for characterizing diagnostic biomarkers and immune cell infiltration in fetal growth restriction.

Frontiers in immunology Sep 4, 2024
BACKGROUND: Fetal growth restriction (FGR) occurs in 10% of pregnancies worldwide. Placenta dysfunction, as one of the most common causes of FGR, is associated with various poor perinatal outcomes. The main objectives of this study were to screen pot...
Gene Expression Profiling Transcriptome Pregnancy Triggering Receptor Expressed on Myeloid Cells-1 Nomograms Female Placenta Humans Adult Fetal Growth Retardation Machine Learning Biomarkers
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Integrated epigenomic exposure signature discovery.

Epigenomics Sep 3, 2024
The epigenome influences gene regulation and phenotypes in response to exposures. Epigenome assessment can determine exposure history aiding in diagnosis. Here we developed and implemented a machine learning algorithm, the exposure signature discove...
Bacillus anthracis Influenza A Virus, H3N2 Subtype Staphylococcus aureus Influenza, Human Epigenome HIV Infections Epigenesis, Genetic Epigenomics COVID-19 Humans Algorithms SARS-CoV-2 Machine Learning Transcriptome
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Single-cell and whole-transcriptome sequencing of lymph node metastasis-related gene signature: a large-scale pan-cancer cohort, machine learning and experimental study: Retraction.

International journal of surgery (London, England) Sep 1, 2024
Humans Gene Expression Profiling Transcriptome Machine Learning Neoplasms Single-Cell Analysis Lymph Nodes Lymphatic Metastasis
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