AIMC Topic: CD4-Positive T-Lymphocytes

Clear Filters Showing 11 to 20 of 25 articles

CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning.

Lab on a chip Oct 23, 2019
T lymphocytes are a group of cells representing the main effectors of human adaptive immunity. Characterization of the most representative T-lymphocyte subclasses, CD4+ and CD8+, is challenging, but has a significant impact on clinical decisions. Up ...
Microfluidic Analytical Techniques CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Light Lab-On-A-Chip Devices Humans Machine Learning
View on PubMed DOI

Deciphering epigenomic code for cell differentiation using deep learning.

BMC genomics Sep 12, 2019
BACKGROUND: Although DNA sequence plays a crucial role in establishing the unique epigenome of a cell type, little is known about the sequence determinants that lead to the unique epigenomes of different cell types produced during cell differentiatio...
Epigenomics Cell Differentiation CD4-Positive T-Lymphocytes Nucleotide Motifs Histone Code Cell Lineage Conserved Sequence Humans Deep Learning
View on PubMed DOI

Single T Cell Sequencing Demonstrates the Functional Role of TCR Pairing in Cell Lineage and Antigen Specificity.

Frontiers in immunology Jul 31, 2019
Although structural studies of individual T cell receptors (TCRs) have revealed important roles for both the α and β chain in directing MHC and antigen recognition, repertoire-level immunogenomic analyses have historically examined the β chain alone....
Complementarity Determining Regions Receptors, Antigen, T-Cell, alpha-beta CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Antigens Sequence Analysis, Protein Humans Machine Learning
View on PubMed DOI

SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Journal of immunology (Baltimore, Md. : 1950) Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
Humans Machine Learning Male Adolescent Child Vaccination CD8-Positive T-Lymphocytes Algorithms Female Young Adult Adult Datasets as Topic CD4-Positive T-Lymphocytes T-Lymphocyte Subsets Influenza, Human Data Mining Influenza Vaccines
View on PubMed DOI

Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning.

Scientific reports Nov 30, 2018
Adjuvants have long been critical components of vaccines, but the exact mechanisms of their action and precisely how they alter or enhance vaccine-induced immune responses are often unclear. In this study, we used broad immunoprofiling of antibody, c...
Animals Immunity, Cellular CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Liposomes Machine Learning Adjuvants, Immunologic Dose-Response Relationship, Immunologic Vaccines Macaca mulatta Cytokines
View on PubMed DOI

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 Mesenchymal Stem Cells Coculture Techniques Interferon-gamma Cell Plasticity Stochastic Processes Tissue Embedding Lymphocyte Activation Cell Proliferation CD8-Positive T-Lymphocytes Immunosuppression Therapy Humans Machine Learning Cells, Cultured Leukocytes, Mononuclear
View on PubMed DOI

Placental CD4 T cells isolated from preeclamptic women cause preeclampsia-like symptoms in pregnant nude-athymic rats.

Pregnancy hypertension Nov 2, 2018
Preeclampsia (PE), new onset hypertension during pregnancy, is associated with a proinflammatory profile compared to normal pregnancy (NP). We hypothesize that CD4 T cells from PE patient placentas cause PE symptoms during pregnancy compared to those...
Rats, Nude Vascular Endothelial Growth Factor Receptor-1 Young Adult Pre-Eclampsia Placenta Interleukin-17 Humans Arterial Pressure Adult Tumor Necrosis Factor-alpha CD4-Positive T-Lymphocytes Rats Placentation Pregnancy Enzyme-Linked Immunosorbent Assay Animals Female Disease Models, Animal Real-Time Polymerase Chain Reaction
View on PubMed DOI

A multicentre verification study of the QuantiFERON-TB Gold Plus assay.

Tuberculosis (Edinburgh, Scotland) Nov 28, 2017
OBJECTIVES: The aim of this verification study was to compare the QuantiFERON-TB Gold Plus (QFT-Plus) to the QuantiFERON-TB Gold In Tube (QFT-GIT). The new QFT-Plus test contains an extra antigen tube which, according to the manufacturer additionally...
Antigens, Bacterial Interferon-gamma Release Tests Reproducibility of Results Adult Male Humans Netherlands CD8-Positive T-Lymphocytes Middle Aged Female Interferon-gamma Host-Pathogen Interactions Predictive Value of Tests Latent Tuberculosis CD4-Positive T-Lymphocytes Belgium Mycobacterium tuberculosis
View on PubMed DOI

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.

Nucleic acids research Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
Hep G2 Cells Cell Line Principal Component Analysis DNA Gene Expression Regulation Organ Specificity K562 Cells CD4-Positive T-Lymphocytes Hepatocytes Algorithms Cell Line, Tumor Protein Binding Transcription Factors Humans Machine Learning Histones Chromatin Assembly and Disassembly Binding Sites Human Embryonic Stem Cells Primary Cell Culture Chromatin
View on PubMed DOI

High-dimensional Immune Profiles and Machine Learning May Predict Acute Myeloid Leukemia Relapse Early following Transplant.

Journal of immunology (Baltimore, Md. : 1950) Nov 15, 2024
Identification of early immune signatures associated with acute myeloid leukemia (AML) relapse following hematopoietic stem cell transplant (HSCT) is critical for patient outcomes. We analyzed PBMCs from 58 patients with AML undergoing HSCT, focusing...
Humans Machine Learning Algorithms Female Middle Aged Aged CD4-Positive T-Lymphocytes Adult CD8-Positive T-Lymphocytes Hematopoietic Stem Cell Transplantation Leukemia, Myeloid, Acute Recurrence Male
View on PubMed DOI
Popular Topics
Recent Journals