AIMC Topic: Leukocytes, Mononuclear

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GeneDX-PBMC: An adversarial autoencoder framework for unlocking Alzheimer's disease biomarkers using blood single-cell RNA sequencing data.

Computers in biology and medicine Jun 1, 2025
OBJECTIVE: To identify blood-based biomarkers and therapeutic targets for Alzheimer's disease (AD) by leveraging single-cell RNA sequencing (scRNA-seq) data from peripheral blood mononuclear cells (PBMCs) and advanced deep learning techniques.
Humans Biomarkers Female Sequence Analysis, RNA Leukocytes, Mononuclear Alzheimer Disease Deep Learning Autoencoder Single-Cell Analysis Aged Male
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Single-cell RNA sequencing reveals immunological link between house dust mite allergy and childhood asthma.

Scientific reports May 14, 2025
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen. Nevertheless, the diagnostic rate remains below 60% due to the absence of specific symptoms and diagnostic markers, which hinders the implementation ...
Female Asthma Animals Male Leukocytes, Mononuclear Sequence Analysis, RNA Humans Gene Expression Profiling Allergens Pyroglyphidae Child, Preschool Hypersensitivity Child Dust Mite Allergy Single-Cell Analysis
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Oxidative Phosphorylation Pathway in Ankylosing Spondylitis: Multi-Omics Analysis and Machine Learning.

International journal of rheumatic diseases May 1, 2025
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...
Male Middle Aged Leukocytes, Mononuclear Gene Expression Profiling Transcriptome Humans Machine Learning Female Adult Spondylitis, Ankylosing Multiomics Case-Control Studies Signal Transduction Single-Cell Analysis Mitochondria RNA-Seq Oxidative Phosphorylation Gene Regulatory Networks
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An Attention-Based Deep Neural Network Model to Detect Cis-Regulatory Elements at the Single-Cell Level From Multi-Omics Data.

Genes to cells : devoted to molecular & cellular mechanisms Mar 1, 2025
Cis-regulatory elements (cREs) play a crucial role in regulating gene expression and determining cell differentiation and state transitions. To capture the heterogeneous transitions of cell states associated with these processes, detecting cRE activi...
Zinc Finger E-box-Binding Homeobox 1 SOXB1 Transcription Factors Regulatory Elements, Transcriptional Regulatory Sequences, Nucleic Acid Genomics Multiomics Glioma Epithelial-Mesenchymal Transition Neural Networks, Computer Leukocytes, Mononuclear Single-Cell Analysis Humans
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Unveiling the Immune Landscape of Delirium through Single-Cell RNA Sequencing and Machine Learning: Towards Precision Diagnosis and Therapy.

Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society Jan 1, 2025
BACKGROUND: Postoperative delirium (POD) poses significant clinical challenges regarding its diagnosis and treatment. Identifying biomarkers that can predict and diagnose POD is crucial for improving patient outcomes.
Sequence Analysis, RNA Signal Transduction Phosphatidylinositol 3-Kinases Proto-Oncogene Proteins c-akt Delirium Postoperative Complications Leukocytes, Mononuclear Case-Control Studies Single-Cell Analysis Female Aged Male Middle Aged Machine Learning Biomarkers Precision Medicine Humans
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Artificial Intelligence-Based Counting Algorithm Enables Accurate and Detailed Analysis of the Broad Spectrum of Spot Morphologies Observed in Antigen-Specific B-Cell ELISPOT and FluoroSpot Assays.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
Antigen-specific B-cell ELISPOT and multicolor FluoroSpot assays, in which the membrane-bound antigen itself serves as the capture reagent for the antibodies that B cells secrete, inherently result in a broad range of spot sizes and intensities. The ...
Algorithms Leukocytes, Mononuclear B-Lymphocytes Antigens Enzyme-Linked Immunospot Assay Artificial Intelligence
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BEENE: deep learning-based nonlinear embedding improves batch effect estimation.

Bioinformatics (Oxford, England) Aug 1, 2023
MOTIVATION: Analyzing large-scale single-cell transcriptomic datasets generated using different technologies is challenging due to the presence of batch-specific systematic variations known as batch effects. Since biological and technological differe...
Single-Cell Analysis RNA-Seq Mice Animals Sequence Analysis, RNA Leukocytes, Mononuclear Gene Expression Profiling Deep Learning
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Evaluation of machine learning approaches for cell-type identification from single-cell transcriptomics data.

Briefings in bioinformatics Sep 2, 2021
Single-cell transcriptomics technologies have vast potential in advancing our understanding of cellular heterogeneity in complex tissues. While methods to interpret single-cell transcriptomics data are developing rapidly, challenges in most analysis ...
Transcriptome Single-Cell Analysis Mice Logistic Models Benchmarking Datasets as Topic Pancreas Support Vector Machine Lymphocytes, Tumor-Infiltrating Phenotype Brain Animals Leukocytes, Mononuclear Humans Cells, Cultured
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Precision immunoprofiling to reveal diagnostic signatures for latent tuberculosis infection and reactivation risk stratification.

Integrative biology : quantitative biosciences from nano to macro Jan 1, 2019
Latent tuberculosis infection (LTBI) is estimated in nearly one quarter of the world's population, and of those immunocompetent and infected ~10% will proceed to active tuberculosis (TB). Current diagnostics cannot definitively identify LTBI and prov...
Antigens Middle Aged Photons Risk Assessment Humans Leukocytes, Mononuclear Computational Biology Cytokines Machine Learning Prospective Studies Latent Tuberculosis Diagnostic Tests, Routine Mass Screening Algorithms Biomarkers Female Tuberculin Test Silicon Aged Immunoassay Immune System Adult Workflow Male Mycobacterium tuberculosis
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[Effects of ATP on expression of inflammatory factors in endothelial progenitor cells induced by LPS and the mechanisms].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Dec 28, 2018
To investigate the effects of adenosine triphosphate (ATP) on expression of inflammatory factors induced by lipopolysaccharide (LPS) in endothelial progenitor cells (EPCs), and to elucidate the possible mechanisms.
 Methods: Mononuclear cells were is...
Lipopolysaccharide Receptors Lipopolysaccharides Humans Myeloid Differentiation Factor 88 NF-kappa B Toll-Like Receptor 4 Adenosine Triphosphate Leukocytes, Mononuclear Gene Expression Regulation Endothelial Progenitor Cells Signal Transduction
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