Overview
- Nominated as an outstanding Ph.D thesis by the University of Texas at Austin
- Outlines the development of the very first technology for high-throughput analysis of paired heavy and light chain antibody sequences from
- Enables comprehensive investigation of human B-cell repertoires for rapid antibody discovery
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
Buy print copy
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (5 chapters)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Decoding the Antibody Repertoire
Book Subtitle: High Throughput Sequencing of Multiple Transcripts from Single B Cells
Authors: Brandon DeKosky
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-58518-5
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-58517-8Published: 08 June 2017
Softcover ISBN: 978-3-319-86421-1Published: 04 August 2018
eBook ISBN: 978-3-319-58518-5Published: 29 May 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXVIII, 87
Number of Illustrations: 34 b/w illustrations
Topics: Antibodies, Genetic Engineering, Human Genetics, Cell Biology, Biochemistry, general