A5102840712- SARS-CoV-2 and COVID-19 Research
- Respiratory viral infections research
- vaccines and immunoinformatics approaches
- SARS-CoV-2 detection and testing
- Influenza Virus Research Studies
- Immunodeficiency and Autoimmune Disorders
- Monoclonal and Polyclonal Antibodies Research
- Congenital Diaphragmatic Hernia Studies
- Immunotherapy and Immune Responses
- RNA and protein synthesis mechanisms
- Pneumonia and Respiratory Infections
- Blood groups and transfusion
- CRISPR and Genetic Engineering
University of Washington
2023-2025
Human influenza virus evolves to escape neutralization by polyclonal antibodies. However, we have a limited understanding of how the antigenic effects viral mutations vary across human population and this heterogeneity affects evolution. Here, use deep mutational scanning map hemagglutinin (HA) proteins two H3N2 strains, A/Hong Kong/45/2019 A/Perth/16/2009, affect serum from individuals variety ages. The HA on differ age groups in ways that can be partially rationalized terms exposure...
ABSTRACT The immune response to viral infection is shaped by past exposures related virus strains, a phenomenon known as imprinting. For severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), much of the population has been imprinted spike from an early strain, either through vaccination or during stages COVID-19 pandemic. As consequence this imprinting, with more recent SARS-CoV-2 strains primarily boosts cross-reactive antibodies elicited imprinting strain. Here we compare...
Abstract SARS-CoV-2 variants acquire mutations in spike that promote immune evasion and impact other properties contribute to viral fitness such as ACE2 receptor binding cell entry. Knowledge of how affect these phenotypes can provide insight into the current potential future evolution virus. Here we use pseudovirus deep mutational scanning measure >9,000 across full XBB.1.5 BA.2 spikes binding, entry, or escape from human sera. We find outside receptor-binding domain (RBD) have...
Human metapneumovirus (hMPV) is an important cause of respiratory illness. However, information about hMPV incidence, patient characteristics, and symptoms outside hospital settings limited. During June 2022-March 2024, participants aged 6 months-49 years who were enrolled in the CASCADIA community-based cohort study submitted weekly illness surveys nasal swabs, completed follow-up surveys. Swabs collected 0-3 days before reporting new or worsening tested for other viruses by multiplex...
ABSTRACT Human influenza virus evolves to escape neutralization by polyclonal antibodies. However, we have a limited understanding of how the antigenic effects viral mutations vary across human population, and this heterogeneity affects evolution. Here use deep mutational scanning map hemagglutinin (HA) proteins A/Hong Kong/45/2019 (H3N2) A/Perth/16/2009 strains affect serum from individuals variety ages. The HA on differ age groups in ways that can be partially rationalized terms exposure...
The immune response to viral infection is shaped by past exposures related virus strains, a phenomenon known as imprinting. For SARS-CoV-2, much of the population has been imprinted spike from an early strain, either through vaccination or during stages COVID-19 pandemic. As consequence this imprinting, with more recent SARS-CoV-2 strains primarily boosts cross-reactive antibodies elicited imprinting strain. Here we compare neutralizing antibody specificities individuals versus infants...
BACKGROUND: Safe and effective vaccines are a key preventative measure to protect infants from SARS-CoV-2 infection disease. Although mRNA induce robust antibody titers in infants, little is known about the quality of CD4 T-cell responses induced by vaccination. important orchestrating coordinated immune during may help limit disease severity. METHODS: To characterize response vaccination we sampled blood 13 before after primary vaccine series; samples 12 historical vaccinated adults were...
Abstract The traditional process of antibody discovery is limited by inefficiency, high costs, and low success rates. Recent approaches employing artificial intelligence (AI) have been developed to optimize existing antibodies generate sequences in a target-agnostic manner. In this work, we present MAGE (Monoclonal Antibody GEnerator), sequence-based Protein Language Model (PLM) fine-tuned for the task generating paired human variable heavy light chain against targets interest. We show that...