Riccardo Spott, Mathias W Pletz ... Christian Brandt
Integrating mobile service and fine-granular sample data enhances SARS-CoV-2 genomic surveillance, improving variant tracking, optimizing efficiency, and guiding targeted sampling strategies.
An eco-evolutionary model shows that heterozygote advantage can maintain over 100 major histocompatibility complex alleles, providing a potent explanation for extraordinary immune gene diversity and challenges previous models that predicted limited allele coexistence.
Single-molecule localization imaging shows that the Nipah virus fusion protein forms nanoscale clusters on cell and viral membranes that favor membrane fusion activation.
Diverse histories of viral exposure, for example in individuals of different age, makes viral evolution less predictable with features of adaptive and neutral evolution.
Big data analysis, protein structure prediction, and artificial intelligence are integrated to predict novel and highly transmissible SARS-CoV-2 variants.
In this episode, we hear about predicting the evolution of influenza viruses, how deserts decompose matter, what worms are revealing about a gene linked to autism, and how mice detect the smell of cats.
Systems analysis of antibody repertoires reveals that strong humoral responses lead to extensive B-cell overlap across multiple lymphoid organs, indicating physiological axes of B-cell migration and a direct correlation with antigen specificity.
