AIMC Topic: Dendritic Cells
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Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning.
BMC genomics
Apr 10, 2025
This study evaluates the concordance between RNA sequencing (RNA-Seq) and NanoString technologies for gene expression analysis in non-human primates (NHPs) infected with Ebola virus (EBOV). A detailed comparison of both platforms revealed a strong co...
Concentration-dependent effects of immunomodulatory cocktails on the generation of leukemia-derived dendritic cells, DC mediated T-cell activation and on-target/off-tumor toxicity.
Frontiers in immunology
Jan 30, 2025
Acute myeloid leukemia (AML) remains a devastating diagnosis in clear need of therapeutic advances. Both targeted dendritic cells (DC) and particularly leukemia-derived dendritic cells (DC) can exert potent anti-leukemic activity. By converting AML b...
Discovery of Active Ingredient of Yinchenhao Decoction Targeting TLR4 for Hepatic Inflammatory Diseases Based on Deep Learning Approach.
Interdisciplinary sciences, computational life sciences
Nov 19, 2024
Yinchenhao Decoction (YCHD), a classic formula in traditional Chinese medicine, is believed to have the potential to treat liver diseases by modulating the Toll-like receptor 4 (TLR4) target. Therefore, a thorough exploration of the effective compone...
Real-time monitoring of single dendritic cell maturation using deep learning-assisted surface-enhanced Raman spectroscopy.
Theranostics
Oct 14, 2024
Dynamic real-time detection of dendritic cell (DC) maturation is pivotal for accurately predicting immune system activation, assessing vaccine efficacy, and determining the effectiveness of immunotherapy. The heterogeneity of cells underscores the s...
Machine-learning and combined analysis of single-cell and bulk-RNA sequencing identified a DC gene signature to predict prognosis and immunotherapy response for patients with lung adenocarcinoma.
Journal of cancer research and clinical oncology
Jul 28, 2023
BACKGROUND: Innate immune effectors, dendritic cells (DCs), influence cancer prognosis and immunotherapy significantly. As such, dendritic cells are important in killing tumors and influencing tumor microenvironment, whereas their roles in lung adeno...
Automated identification and quantification of activated dendritic cells in central cornea using artificial intelligence.
The ocular surface
Jun 27, 2023
PURPOSE: To validate an algorithm quantifying activated dendritic cells (aDCs) using in-vivo confocal microscopy (IVCM) images.
Rapid video-based deep learning of cognate versus non-cognate T cell-dendritic cell interactions.
Scientific reports
Jan 11, 2022
Identification of cognate interactions between antigen-specific T cells and dendritic cells (DCs) is essential to understanding immunity and tolerance, and for developing therapies for cancer and autoimmune diseases. Conventional techniques for selec...
Machine Learning-Based Single Cell and Integrative Analysis Reveals That Baseline mDC Predisposition Correlates With Hepatitis B Vaccine Antibody Response.
Frontiers in immunology
Oct 29, 2021
Vaccination to prevent infectious disease is one of the most successful public health interventions ever developed. And yet, variability in individual vaccine effectiveness suggests that a better mechanistic understanding of vaccine-induced immune re...
High-Throughput Nucleotide Sequencing
Host-Pathogen Interactions
Canonical Correlation Analysis
Humans
Vaccine Efficacy
Vaccination
Machine Learning
Hepatitis B Vaccines
Female
Gene Expression Profiling
Hepatitis B Antibodies
Aged
Dendritic Cells
Adult
Hepatitis B
Male
Single-Cell Analysis
Middle Aged
Development of quantitative model of a local lymph node assay for evaluating skin sensitization potency applying machine learning CatBoost.
Regulatory toxicology and pharmacology : RTP
Jul 24, 2021
The estimated concentrations for a stimulation index of 3 (EC3) in murine local lymph node assay (LLNA) is an important quantitative value for determining the strength of skin sensitization to chemicals, including cosmetic ingredients. However, anima...
Effects of galectin-1 on immunomodulatory properties of human monocyte-derived dendritic cells.
Growth factors (Chur, Switzerland)
Jul 5, 2021
Our study aimed to evaluate the effects of Gal-1 in dose depending manner on maturation and immunomodulatory properties of monocyte-derived (Mo) DCs . The effects were analyzed by monitoring their phenotypic characteristics, cytokine profile, and the...
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