Learning the language of adaptive immune recognition
Immune repertoires represent a diverse collection of B and T cells which enable the recognition of a seemingly infinite number of molecular structures. Advances in deep sequencing, microfluidics, and bioinformatics are allowing us to investigate and quantify the incredibly complex and personalized nature of adaptive immune responses. I will share how immune repertoire sequencing can be used to computationally profile adaptive immune responses at single-cell resolution, to discover therapeutically relevant antibodies, and to predict features of adaptive immune recognition. Together, this fundamental and translational investigation into the language of the adaptive immune system holds the potential to improve the in silico design and discovery of adaptive immune therapeutics.
There will be a 35-min presentation followed by a 15-min in-depth discussion.
