Deconvoluting the immune repertoire

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Abstract/Contents

Abstract
In this thesis, I will demonstrate how combined functional/genomic analysis of the immune repertoire provides a clearer picture of a patient's immune response. I will show tools that I have advanced and developed for characterizing the immune system: immune repertoire library construction, long read sequencing on the Illumina platform, high throughput functional assays with antibodies cloned from single cells, and a data processing framework for combining functional and repertoire data. I will show influenza specific lineage recall over subsequent years of vaccination with trivalent influenza vaccine and identify several broadly binding anti-influenza antibody lineages. I will show how this platform can be used to identify which antibody lineages comprise segments of the mixed signal from a serum binding assay. Furthermore I will present evidence of low seroprevalence of influenza subtypes with H2, H5, H7 and H9 HA and apply this platform to identify multiple candidate antibodies for treating seasonal and pandemic influenza. Lastly I will show progress on a method for rapid DNA fabrication that could be used to quickly produce antibody genes mined from the repertoire, but has broader potential application in the field of synthetic biology.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Emig, Christopher J
Associated with Stanford University, Department of Bioengineering.
Primary advisor Quake, Stephen Ronald
Thesis advisor Quake, Stephen Ronald
Thesis advisor Bryant, Zev David
Thesis advisor Fordyce, Polly
Advisor Bryant, Zev David
Advisor Fordyce, Polly

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Christopher J. Emig.
Note Submitted to the Department of Bioengineering.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by Christopher Joseph Emig
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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