AIMC Topic: THP-1 Cells

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Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds.

PeerJ Dec 13, 2024
BACKGROUND: To enhance the accuracy of allergen detection in cosmetic compounds, we developed a co-culture system that combines HaCaT keratinocytes (transfected with a luciferase plasmid driven by the AKR1C2 promoter) and THP-1 cells for machine lear...
Humans Machine Learning Support Vector Machine Skin Keratinocytes Coculture Techniques Dermatitis, Allergic Contact HaCaT Cells THP-1 Cells Allergens Cosmetics
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Time-Course Transcriptome Analysis Reveals Distinct Phases and Identifies Two Key Genes during Severe Fever with Thrombocytopenia Syndrome Virus Infection in PMA-Induced THP-1 Cells.

Viruses Dec 29, 2023
In recent years, there have been significant advancements in the research of Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV). However, several limitations and challenges still exist. For instance, researchers face constraints regarding expe...
Cluster Analysis Humans Severe Fever with Thrombocytopenia Syndrome Gene Expression Profiling THP-1 Cells Transcriptome
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Design of novel orotransmucosal vaccine-delivery platforms using artificial intelligence.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Dec 28, 2020
The linings of the oral cavity are excellent needle-free vaccination sites, able to induce immune responses at distal sites and confer systemic protection. However, owing to the mucosal tissues' intrinsic characteristics, the design of effective anti...
Drug Liberation Drug Compounding Microspheres Adhesiveness Polymers THP-1 Cells Hydrogels Mouth Mucosa Administration, Buccal Administration, Sublingual Humans Biological Products Drug Carriers Neural Networks, Computer Drug Design
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Detection and segmentation of morphologically complex eukaryotic cells in fluorescence microscopy images via feature pyramid fusion.

PLoS computational biology Sep 8, 2020
Detection and segmentation of macrophage cells in fluorescence microscopy images is a challenging problem, mainly due to crowded cells, variation in shapes, and morphological complexity. We present a new deep learning approach for cell detection and ...
THP-1 Cells Eukaryotic Cells Deep Learning Humans Image Processing, Computer-Assisted Computational Biology Neural Networks, Computer Microscopy, Fluorescence Macrophages
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Machine learning approaches infer vitamin D signaling: Critical impact of vitamin D receptor binding within topologically associated domains.

The Journal of steroid biochemistry and molecular biology Jul 22, 2018
The vitamin D-modulated transcriptome of highly responsive human cells, such as THP-1 monocytes, comprises more than 500 genes, half of which are primary targets. Recently, we proposed a chromatin model of vitamin D signaling demonstrating that nearl...
Receptors, Calcitriol Protein Binding Chromatin High-Throughput Nucleotide Sequencing Humans CCCTC-Binding Factor Signal Transduction Gene Expression Regulation Cell Line RNA, Messenger Vitamin D THP-1 Cells Machine Learning Algorithms
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Autonomous Magnetic Microrobots by Navigating Gates for Multiple Biomolecules Delivery.

Small (Weinheim an der Bergstrasse, Germany) May 8, 2018
The precise delivery of biofunctionalized matters is of great interest from the fundamental and applied viewpoints. In spite of significant progress achieved during the last decade, a parallel and automated isolation and manipulation of rare analyte,...
Humans MCF-7 Cells Microfluidics Magnetics Robotics THP-1 Cells
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Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.

Nanoscale Jun 12, 2025
Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence, photobleaching resistance, and biocompatibility. However, their small size often limits efficient cell internalization, leading to unspecified cellu...
Drug Delivery Systems Nanoparticles Carbon Reactive Oxygen Species Humans Machine Learning THP-1 Cells Doxorubicin Photochemotherapy Photosensitizing Agents Drug Carriers Quantum Dots Light
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Machine learning-based label-free macrophage phenotyping in immune-material interactions.

Journal of materials chemistry. B May 21, 2025
The rapid advancement of implantable biomedical materials necessitates a comprehensive understanding of macrophage interactions to optimize implant immunocompatibility. Macrophages, key immune regulators, exhibit phenotypic plasticity by polarizing i...
Collagen THP-1 Cells Cytokines Humans Biocompatible Materials Machine Learning Phenotype Macrophages
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[The β2GPI/aβ2GPI inhibits phagocytosis of oxidized low-density lipoprotein in THP-1 macrophages via activating TLR4].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology Dec 1, 2018
Objective To investigate the effects of β2 glycoprotein I/anti-β2 glycoprotein I antibody complex (β2GPI/aβ2GPI) on lipid phagocytosis and class B scavenger receptor CD36 expression of macrophages, and the role of Toll-like receptor 4 (TLR4) during t...
beta 2-Glycoprotein I Humans Phagocytosis THP-1 Cells Macrophages Toll-Like Receptor 4 Signal Transduction CD36 Antigens Lipoproteins, LDL
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Overview of the Biological Activities of a Methanol Extract from Wild Red Belt Conk, Fomitopsis pinicola (Agaricomycetes), Fruiting Bodies from Central Italy.

International journal of medicinal mushrooms Jan 1, 2018
Fomitopsis pinicola (Sw.) P. Karst. (Fomitopsidaceae) is a medicinal mushroom with a variety of healthy properties. In this study we tested the radical scavenging activity and antimicrobial and anticancer potential of methanol extracts of F. pinicola...
Methanol Humans Antineoplastic Agents Agaricales Apoptosis Phylogeny THP-1 Cells Cell Survival Fruiting Bodies, Fungal Flavonoids Microbial Sensitivity Tests Biphenyl Compounds Picrates HT29 Cells Coriolaceae Cell Proliferation Phenols Chemical Fractionation Antifungal Agents Free Radical Scavengers
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