AIMC Topic: Killer Cells, Natural

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Sensitive detection of rare disease-associated cell subsets via representation learning.

Nature communications Apr 6, 2017
Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations remains a difficult task. This work describes CellCnn, a representation learning approach to de...
T-Lymphocyte Subsets Rare Diseases Neoplasm, Residual Leukemia Immunologic Memory Supervised Machine Learning Survival Analysis Killer Cells, Natural Signal Transduction Acquired Immunodeficiency Syndrome Cytomegalovirus Infections Humans Neural Networks, Computer Single-Cell Analysis Monocytes Cytokines Prognosis
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Identification of diagnostic biomarkers and immune cell profiles associated with COPD integrated bioinformatics and machine learning.

Journal of cellular and molecular medicine Sep 1, 2024
This retrospective transcriptomic study leveraged bioinformatics and machine learning algorithms to identify novel gene biomarkers and explore immune cell infiltration profiles associated with chronic obstructive pulmonary disease (COPD). Utilizing a...
Pulmonary Disease, Chronic Obstructive Male Middle Aged Retrospective Studies Female Aged Humans Killer Cells, Natural Chromogranins Gene Expression Profiling Machine Learning Transcriptome Biomarkers Computational Biology GTP-Binding Protein alpha Subunits, Gs Adenylyl Cyclases
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Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.

Journal of cellular and molecular medicine Aug 1, 2024
Breast cancer (BC) is the most commonly diagnosed cancer in women globally. Natural killer (NK) cells play a vital role in tumour immunosurveillance. This study aimed to establish a prognostic model using NK cell-related genes (NKRGs) by integrating ...
Humans Machine Learning Prognosis Female Gene Expression Regulation, Neoplastic Nomograms Killer Cells, Natural Gene Expression Profiling Transcriptome Single-Cell Analysis Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor
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hdWGCNA and Cellular Communication Identify Active NK Cell Subtypes in Alzheimer's Disease and Screen for Diagnostic Markers through Machine Learning.

Current Alzheimer research Jan 1, 2024
BACKGROUND: Alzheimer's disease (AD) is a recognized complex and severe neurodegenerative disorder, presenting a significant challenge to global health. Its hallmark pathological features include the deposition of β-amyloid plaques and the formation ...
Male Protein Interaction Maps Computational Biology Machine Learning Biomarkers Female Cell Communication Alzheimer Disease Killer Cells, Natural Humans
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Estimating Normal Values of Rare T-Lymphocyte Populations in Peripheral Blood of Healthy Cuban Adults.

MEDICC review Oct 1, 2018
INTRODUCTION Flow cytometry allows immunophenotypic characterization of important lymphocyte subpopulations for diagnosis of diseases such as cancer, autoimmune diseases, immunodeficiencies and some infections. Normal values of rare lymphoid cells in...
Killer Cells, Natural Male Aged, 80 and over Sex Factors Middle Aged Humans Lymphocyte Count Young Adult CD4-CD8 Ratio Adolescent Age Factors Female Adult CD4 Lymphocyte Count Cuba Reference Values T-Lymphocyte Subsets Aged
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Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
HIV-1 vaccine injection has been shown less effective due to the diversity of antigens. Increasing the knowledge of the associations between immune system and virus would ultimately result in producing effective vaccines against HIV-1 virus. To incre...
Humans HIV Infections HIV Envelope Protein gp120 Models, Immunological AIDS Vaccines HIV Antibodies Unsupervised Machine Learning HIV-1 Killer Cells, Natural
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[Expression of Tim-3 on Peripheral CD56(+) NK Cells and ItsCorrelation with Liver Fibrosis in Patients withAdvanced Schistosomiasis].

Zhongguo ji sheng chong xue yu ji sheng chong bing za zhi = Chinese journal of parasitology & parasitic diseases Oct 1, 2015
OBJECTIVE: To explore the expression of T cell immunoglobulin and mucin domain protein 3 (Tim-3) on CD56(+) NK cells in peripheral blood and its correlation with liver fibrosis indicators in patients with advanced schistosomiasis.
Interferon-gamma Procollagen Laminin Schistosomiasis Hepatitis A Virus Cellular Receptor 2 Collagen Type IV Killer Cells, Natural Peptide Fragments Flow Cytometry Hyaluronic Acid Enzyme-Linked Immunosorbent Assay Humans Liver Cirrhosis Interleukin-4 Membrane Proteins Case-Control Studies
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