Decoding the Antibody Repertoire ― High Throughput Sequencing of Multiple Transcripts from Single B Cells

This thesis outlines the development of the very first technology for high-throughput analysis of paired heavy and light-chain antibody sequences, opening an entirely new window for antibody discovery and the investigation of adaptive immune responses to vaccines and diseases.

Previous methods for high-throughput immune repertoire sequencing have been unable to provide information on the identity of immune receptor pairs encoded by individual B or T lymphocytes. The author directly addresses these limitations by designing two new technologies for sequencing multiple mRNA transcripts from up to 10 million isolated, single cells.

The techniques developed in this work have enabled comprehensive interrogation of human B-cell repertoires and have been applied for rapid discovery of new human antibodies, to gain new insights into the development of human antibody repertoires, and for analysis of human immune responses to vaccination and disease.

Brandon DeKosky is an assistant professor at the Departments of Pharmaceutical Chemistry, Chemical & Petroleum Engineering, and the Kansas Vaccine Institute at the University of Kansas. Dr. DeKosky attained his Ph.D. in the lab of George Georgiou at the University of Texas at Austin where he developed new technologies for sequencing complete antibody variable regions from single B cells. Dr. DeKosky performed postdoctoral studies in the lab of John Mascola at the NIAID Vaccine Research Center, applying high-throughput technologies to accelerate public health vaccine development. His lab at KU seeks to leverage high-throughput platforms to understand the features of adaptive immune protection and develop novel strategies to combat human diseases.