AIMC Topic: Killer Cells, Natural

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Identification of novel biomarkers in Hunner's interstitial cystitis using the CIBERSORT, an algorithm based on machine learning.

BMC urology Aug 16, 2021
BACKGROUND:  Hunner's interstitial cystitis (HIC) is a complex disorder characterized by pelvic pain, disrupted urine storage, and Hunner lesions seen on cystoscopy. There are few effective diagnostic biomarkers. In the present study, we used the nov...
Mast Cells HLA-DR Antigens Killer Cells, Natural Cystitis, Interstitial CD4 Antigens Humans Machine Learning Biomarkers T Follicular Helper Cells Plasma Cells CD3 Complex Memory B Cells Memory T Cells
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Weakly supervised deep learning for determining the prognostic value of F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type.

European journal of nuclear medicine and molecular imaging Feb 20, 2021
PURPOSE: To develop a weakly supervised deep learning (WSDL) method that could utilize incomplete/missing survival data to predict the prognosis of extranodal natural killer/T cell lymphoma, nasal type (ENKTL) based on pretreatment F-FDG PET/CT resul...
Lymphoma, Extranodal NK-T-Cell Humans Prognosis Retrospective Studies Deep Learning Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18 Killer Cells, Natural
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Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping data.

eLife Jul 28, 2020
We demonstrate that prostate cancer can be identified by flow cytometric profiling of blood immune cell subsets. Herein, we profiled natural killer (NK) cell subsets in the blood of 72 asymptomatic men with Prostate-Specific Antigen (PSA) levels < 20...
Blood Circulation Diagnostic Techniques, Urological Flow Cytometry Practice Guidelines as Topic Middle Aged Killer Cells, Natural Humans Risk Assessment Asymptomatic Diseases Machine Learning Prostatic Neoplasms Aged Prostate-Specific Antigen Aged, 80 and over Male
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Single-cell transcriptome reveals the novel role of T-bet in suppressing the immature NK gene signature.

eLife May 14, 2020
The transcriptional activation and repression during NK cell ontology are poorly understood. Here, using single-cell RNA-sequencing, we reveal a novel role for T-bet in suppressing the immature gene signature during murine NK cell development. Based ...
Machine Learning Phenotype Animals Gene Expression Profiling Transcriptome Single-Cell Analysis RNA-Seq Genotype Rapamycin-Insensitive Companion of mTOR Protein Regulatory-Associated Protein of mTOR Bone Marrow Cells T-Box Domain Proteins Gene Expression Regulation T-bet Transcription Factor Cluster Analysis Killer Cells, Natural Forkhead Box Protein O1 Mice, Inbred C57BL Mechanistic Target of Rapamycin Complex 2 Mice, Knockout Proto-Oncogene Proteins c-akt
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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...
Immunologic Memory T-Lymphocyte Subsets Rare Diseases Neoplasm, Residual Prognosis Leukemia Humans Cytomegalovirus Infections Neural Networks, Computer Single-Cell Analysis Supervised Machine Learning Monocytes Cytokines Survival Analysis Signal Transduction Killer Cells, Natural Acquired Immunodeficiency Syndrome
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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...
Computational Biology Biomarkers Retrospective Studies Killer Cells, Natural Humans Female Chromogranins Machine Learning Aged GTP-Binding Protein alpha Subunits, Gs Pulmonary Disease, Chronic Obstructive Adenylyl Cyclases Male Middle Aged Gene Expression Profiling Transcriptome
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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 ...
Prognosis Female Breast Neoplasms Tumor Microenvironment Nomograms Biomarkers, Tumor Humans Gene Expression Profiling Machine Learning Killer Cells, Natural Transcriptome Single-Cell Analysis Gene Expression Regulation, Neoplastic
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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 ...
Humans Machine Learning Biomarkers Female Alzheimer Disease Male Killer Cells, Natural Protein Interaction Maps Computational Biology Cell Communication
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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...
Adolescent Young Adult T-Lymphocyte Subsets Sex Factors Age Factors Adult CD4-CD8 Ratio CD4 Lymphocyte Count Humans Male Cuba Reference Values Female Middle Aged Killer Cells, Natural Aged Lymphocyte Count Aged, 80 and over
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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...
HIV-1 Killer Cells, Natural Models, Immunological HIV Envelope Protein gp120 AIDS Vaccines Humans HIV Antibodies HIV Infections Unsupervised Machine Learning
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