A5009625485- vaccines and immunoinformatics approaches
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Autoimmune and Inflammatory Disorders Research
- Viral Infectious Diseases and Gene Expression in Insects
- Chemokine receptors and signaling
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Nanowire Synthesis and Applications
- CAR-T cell therapy research
- Biomedical and Chemical Research
- Intelligent Tutoring Systems and Adaptive Learning
Fred Hutch Cancer Center
2023-2024
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa
2023-2024
Anhui Medical University
2012-2013
Background Cell culture conditions during manufacturing can impact the clinical efficacy of chimeric antigen receptor (CAR) T cell products. Production methods have not been standardized because optimal approach remains unknown. Separate CD4 + and CD8 cultures offer a potential advantage but complicate may affect expansion function. In phase 1/2 trial, we observed poor separate hypothesized that coculture cells at defined ratio initiation would enhance simplify manufacturing. Methods We...
Recent studies have explored the role of killer cell immunoglobulin-like receptors (KIRs) in chronic autoimmune diseases. The purpose this study was to demonstrate whether KIR genes contribute pathogenesis ankylosing spondylitis (AS) Chinese populations.Sixteen were genotyped from 60 unrelated patients with AS and HLA-B27-positive matched healthy controls by PCR-SSP. frequencies alleles genotypes control groups assessed χ(2) test.Our results showed that frequency activator receptor KIR3DS1...
Objective Recent studies have explored the role of killer cell immunoglobulin-like receptors (KIRs) in chronic autoimmune diseases. The purpose this study was to demonstrate whether KIR genes contribute pathogenesis ankylosing spondylitis (AS) Chinese populations. Methods Sixteen were genotyped from 60 unrelated patients with AS and HLA-B27-positive matched healthy controls by PCR-SSP. frequencies alleles genotypes control groups assessed χ2 test. Results Our results showed that frequency...
T cells rely on their cell receptors (TCRs) to discern foreign antigens presented by human leukocyte antigen (HLA) proteins. The TCRs of an individual contain a record this individual's past immune activities, such as response infections or vaccines. Mining the TCR data may recover useful information biomarkers for related diseases conditions. Some are observed only in individuals with certain HLA alleles, and thus characterizing requires thorough understanding TCR-HLA associations....
Instruction generation is a vital and multidisciplinary research area with broad applications. Existing instruction models are limited to generating instructions in single style from particular dataset, the content of generated cannot be controlled. Moreover, most existing methods also disregard spatial modeling navigation environment. Leveraging capabilities Large Language Models (LLMs), we propose C-Instructor, which utilizes chain-of-thought-style prompt for style-controllable...
T cells are critical components of human immune system. When a cell is infected by virus, it presents viral peptides on its surface using leukocyte antigen (HLA) proteins. These peptide-HLA complexes recognized through interactions with receptors (TCRs). A blood sample can contain millions unique TCRs, which from the TCR repertoire individual. repertoire-wide association studies (TReWAS) aim to evaluate between individual TCRs and disease or exposure status. Previous have demonstrated that...
Understanding the relationship between T cell receptors (TCRs) and human leukocyte antigens (HLAs) is essential for elucidating immune response specificity, uncovering mechanisms of autoimmunity, advancing targeted immunotherapies. We have previously developed a deep learning method, DePTH (Deep Learning Prediction TCR-HLA associations), to predict association TCR an HLA based on their amino acid sequences. In this work, we evaluated performance in two additional datasets, investigated...
T cells rely on their cell receptors (TCRs) to recognize foreign antigens presented by human leukocyte antigen (HLA) proteins. TCRs contain a record of an individual's past immune activities, and some are observed only in individuals with certain HLA alleles. As result, characterising requires thorough understanding TCR-HLA associations. To this end, we propose neural network method named Deep learning Prediction association (DePTH) predict associations based amino acid sequences. We show...