Abstract

Discovering and Engineering Antibodies by High-throughput Repertoire Sequencing

Sai Reddy, Assistant Professor, ETH Zurich

Here I will present, the computational and experimental methods my group has developed in Ig-seq and their associated applications. For, example we have recently developed a comprehensive error and bias correction method that enables highly accurate Ig-seq. We are also applying machine-learning approaches that enable prediction of the immune status of individual antibody clones. Finally, I will also highlight recent work in our group aimed towards engineering immune cells with genome editing technology, for applications in antibody expression and engineering.