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Decoding the Antibody Repertoire

High Throughput Sequencing of Multiple Transcripts from Single B Cells

  • Book
  • © 2017

Overview

Authors:
  1. Brandon DeKosky

    1. Department of Chemical and Petroleum Engineering, Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, USA

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  • 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)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xxviii
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  2. Background

    • Brandon DeKosky
    Pages 1-19

  3. High-Throughput Sequencing of the Paired Human Immunoglobulin Heavy and Light Chain Repertoire

    • Brandon DeKosky
    Pages 21-28

  4. In-Depth Determination and Analysis of the Human Paired Heavy and Light Chain Antibody Repertoire

    • Brandon DeKosky
    Pages 29-39

  5. Paired VH:VL Analysis of Naïve B Cell Repertoires and Comparison to Antigen-Experienced B Cell Repertoires in Healthy Human Donors

    • Brandon DeKosky
    Pages 41-57

  6. Conclusions and Future Perspectives

    • Brandon DeKosky
    Pages 59-63

  7. Back Matter

    Pages 65-87
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Keywords

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.

Authors and Affiliations

  • Department of Chemical and Petroleum Engineering, Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, USA

    Brandon DeKosky

About the author

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.

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

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