AIMC Topic: T-Lymphocytes

Clear Filters Showing 41 to 50 of 80 articles

Role of Soluble T-Cell Immunoglobulin Mucin Domain-3 in Differentiating Nontuberculous Mycobacterial Lung Disease from Pulmonary Colonization.

Archivos de bronconeumologia Feb 24, 2021
BACKGROUND: Differentiating between nontuberculous mycobacterial lung disease (NTM-LD) and pulmonary NTM colonization (NTM-Col) is difficult. Compared with healthy controls, patients with NTM-LD generally present immune tolerance along with increased...
Hepatitis A Virus Cellular Receptor 2 Humans Mucins Immunoglobulins T-Lymphocytes Ligands Pneumonia Mycobacterium Infections, Nontuberculous Programmed Cell Death 1 Receptor
View on PubMed DOI

TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties.

Computational biology and chemistry Feb 8, 2021
Immunotherapy is a research area with great potential in drug discovery for cancer treatment. Because of the capacity of tumor antigens to activate the immune response and promote the destruction of tumor cells, they are considered excellent immunoth...
Humans Machine Learning Computational Biology Algorithms Antigens, Neoplasm Histocompatibility Antigens Class I T-Lymphocytes Datasets as Topic Peptides
View on PubMed DOI

Use of machine learning to identify a T cell response to SARS-CoV-2.

Cell reports. Medicine Jan 16, 2021
The identification of SARS-CoV-2-specific T cell receptor (TCR) sequences is critical for understanding T cell responses to SARS-CoV-2. Accordingly, we reanalyze publicly available data from SARS-CoV-2-recovered patients who had low-severity disease ...
Principal Component Analysis Amino Acid Sequence High-Throughput Nucleotide Sequencing Complementarity Determining Regions Receptors, Antigen, T-Cell Sequence Analysis, DNA Cluster Analysis Receptors, Antigen, B-Cell Humans SARS-CoV-2 T-Lymphocytes Machine Learning COVID-19
View on PubMed DOI

A Machine Learning Approach Yields a Multiparameter Prognostic Marker in Liver Cancer.

Cancer immunology research Jan 11, 2021
A number of staging systems have been developed to predict clinical outcomes in hepatocellular carcinoma (HCC). However, no general consensus has been reached regarding the optimal model. New approaches such as machine learning (ML) strategies are po...
Prognosis Retrospective Studies Female Risk Factors Humans Machine Learning Models, Immunological Immune Checkpoint Proteins Portal Vein Lymphocyte Count Kaplan-Meier Estimate Liver Neoplasms Carcinoma, Hepatocellular Venous Thrombosis Male Young Adult Neoplasm Invasiveness Neoplasm Staging Risk Assessment Middle Aged Adult Liver Adolescent Hepatectomy T-Lymphocytes
View on PubMed DOI

Deep-learning-based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells.

eLife Dec 17, 2020
The immunological synapse (IS) is a cell-cell junction between a T cell and a professional antigen-presenting cell. Since the IS formation is a critical step for the initiation of an antigen-specific immune response, various live-cell imaging techniq...
Tomography, Optical Immunological Synapses T-Lymphocytes Deep Learning K562 Cells Humans Receptors, Chimeric Antigen
View on PubMed DOI

Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs.

Frontiers in immunology Aug 25, 2020
Current sequencing methods allow for detailed samples of T cell receptors (TCR) repertoires. To determine from a repertoire whether its host had been exposed to a target, computational tools that predict TCR-epitope binding are required. Currents too...
Peptides Deep Learning Receptors, Antigen, T-Cell Databases, Protein Software Antigens Ligands Humans T-Lymphocytes Protein Binding Binding Sites Epitopes, T-Lymphocyte Signal Transduction Protein Interaction Domains and Motifs
View on PubMed DOI

A robust and interpretable end-to-end deep learning model for cytometry data.

Proceedings of the National Academy of Sciences of the United States of America Aug 14, 2020
Cytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at the single-cell level. Existing approaches in interpreting and using cytometry measurements include manual or automated ...
Cytomegalovirus Infections Deep Learning Flow Cytometry Humans T-Lymphocytes
View on PubMed DOI

iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation.

Analytical biochemistry Apr 22, 2020
In spite of the repertoire of existing cancer therapies, the ongoing recurrence and new cases of cancer poses a challenging health concern that prompts for novel and effective treatment. Cancer immunotherapy represents a promising venue for treatment...
Immunotherapy Humans Antigens, Neoplasm Machine Learning Histocompatibility Antigens Class I T-Lymphocytes Neoplasms
View on PubMed DOI

Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.

Journal of biophotonics Dec 15, 2019
The importance of T cells in immunotherapy has motivated developing technologies to improve therapeutic efficacy. One objective is assessing antigen-induced T cell activation because only functionally active T cells are capable of killing the desired...
Humans Neural Networks, Computer Machine Learning Software T-Lymphocytes Image Processing, Computer-Assisted
View on PubMed DOI

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...
Middle Aged Lymphocyte Activation Female DNA, Viral Aged Saliva Adult Humans T-Lymphocytes Cytokines Male Astronauts Herpes Zoster Herpesvirus 3, Human
View on PubMed DOI
Popular Topics
Recent Journals