AIMC Topic: Lymphocyte Activation

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Machine learning approach to single cell transcriptomic analysis of Sjogren's disease reveals altered activation states of B and T lymphocytes.

Journal of autoimmunity May 2, 2025
Sjogren's Disease (SjD) is an autoimmune disorder characterized by salivary and lacrimal gland dysfunction and immune cell infiltration leading to gland inflammation and destruction. Although SjD is a common disease, its pathogenesis is not fully und...
Adult Humans T-Lymphocytes Male Machine Learning Female Aged Lymphocyte Activation Single-Cell Analysis B-Lymphocytes Sjogren's Syndrome Middle Aged Gene Expression Profiling Transcriptome
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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...
Dinoprostone Cytotoxicity, Immunologic T-Lymphocytes Humans Dendritic Cells Granulocyte-Macrophage Colony-Stimulating Factor Cell Line, Tumor Lymphocyte Activation Leukemia, Myeloid, Acute
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Reinforcement learning-guided control strategies for CAR T-cell activation and expansion.

Biotechnology and bioengineering May 29, 2024
Reinforcement learning (RL), a subset of machine learning (ML), could optimize and control biomanufacturing processes, such as improved production of therapeutic cells. Here, the process of CAR T-cell activation by antigen-presenting beads and their ...
Computer Simulation Receptors, Chimeric Antigen T-Lymphocytes Immunotherapy, Adoptive Lymphocyte Activation Cell Culture Techniques Humans Machine Learning
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Science fact vs science fiction: A ChatGPT immunological review experiment gone awry.

Immunology letters Apr 7, 2023
Artificial intelligence (AI) has made great progress in recent years. The latest chatbot to make a splash is ChatGPT. To see if this type of AI could also be helpful in creating an immunological review article, I put a planned review on different cla...
Artificial Intelligence Software Animals RNA Lymphocyte Activation Mice
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A structural-based machine learning method to classify binding affinities between TCR and peptide-MHC complexes.

Molecular immunology Aug 26, 2021
The activation of T cells is triggered by the interactions of T cell receptors (TCRs) with their epitopes, which are peptides presented by major histocompatibility complex (MHC) on the surfaces of antigen presenting cells (APC). While each TCR can on...
Humans Protein Binding Major Histocompatibility Complex Machine Learning Lymphocyte Activation Receptors, Antigen, T-Cell
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Structural constraints in T-cell repertoire selection predicted by machine learning.

Genes and immunity Jul 12, 2021
T-Lymphocytes Lymphocyte Activation Machine Learning
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Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Frontiers in immunology Jun 28, 2021
Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequently therapeutics directed against CCR5 are being investigated. Here, we explored the role of CCR5 and its ligands across the immunologic spectrum of CO...
Receptors, CCR5 Chemokine CCL5 Antibodies, Viral Severity of Illness Index Computational Biology Humans Case-Control Studies CD8-Positive T-Lymphocytes Female Post-Acute COVID-19 Syndrome Algorithms Lymphocyte Activation SARS-CoV-2 RNA, Viral Prognosis Male Machine Learning T-Lymphocytes, Regulatory COVID-19
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Zoster patients on earth and astronauts in space share similar immunologic profiles.

Life sciences in space research Oct 14, 2019
BACKGROUND: On long-duration spaceflight, most astronauts experience persistent immune dysregulation and the reactivation of latent herpesviruses, including varicella zoster virus (VZV). To understand the clinical risk of these perturbations to astro...
Male Middle Aged Lymphocyte Activation Aged Adult Humans Herpes Zoster DNA, Viral T-Lymphocytes Cytokines Herpesvirus 3, Human Saliva Female Astronauts
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Level of neo-epitope predecessor and mutation type determine T cell activation of MHC binding peptides.

Journal for immunotherapy of cancer May 22, 2019
BACKGROUND: Targeting epitopes derived from neo-antigens (or "neo-epitopes") represents a promising immunotherapy approach with limited off-target effects. However, most peptides predicted using MHC binding prediction algorithms do not induce a CD8 +...
Mutation Lymphocyte Activation Oligopeptides Protein Binding Humans Immunotherapy Machine Learning Epitopes, T-Lymphocyte
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Morphological profiling using machine learning reveals emergent subpopulations of interferon-γ-stimulated mesenchymal stromal cells that predict immunosuppression.

Cytotherapy Nov 28, 2018
BACKGROUND: Although a preponderance of pre-clinical data demonstrates the immunosuppressive potential of mesenchymal stromal cells (MSCs), significant heterogeneity and lack of critical quality attributes (CQAs) based on immunosuppressive capacity l...
CD4-Positive T-Lymphocytes Humans Cell Proliferation Cells, Cultured Mesenchymal Stem Cells Machine Learning CD8-Positive T-Lymphocytes Leukocytes, Mononuclear Coculture Techniques Immunosuppression Therapy Tissue Embedding Interferon-gamma Lymphocyte Activation Cell Plasticity Stochastic Processes
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