Using sequencing to analyze exotic circulating nucleic acids in primates and transplantation immunity of a sea squirt

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Abstract/Contents

Abstract
High throughput sequencing allows the accurate quantification of millions to billions of biomolecules at a time. I have looked to answer questions across a range of biological fields by building analysis pipelines for this data, utilizing high-performance computing infrastructure, and applying techniques from machine learning. In the last decade, studies of circulating nucleic acids in humans have yielded noninvasive tests of fetal chromosome abnormalities and signatures of rejection events in transplant recipients. Here I describe how circulating nucleic acids also have microbial and viral signatures which allow us to detect pathogens in a hypothesis-free manner, to identify highly divergent and novel microbes in humans, to characterize the microbiome of non-human primates, and to unveil disease dynamics and changes in the immune system in individuals living with HIV. Another area I've researched relates to the immune system of sea squirts, or tunicates, the sister group of vertebrates and are separated about 400 million years from us. The tunicate Botryllus schlosseri is a colonial organism with a natural allogeneic fusion reaction that produces chimeras, and therefore serves as a model system for transplantation. Here I used deep sequencing to present a molecular, genetic and cellular description of the process of resorption of unstable chimeras, characterization of the haematopoietic system, and molecular, cellular and morphological changes during development of this fascinating organism.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Kowarsky, Mark Alec
Degree supervisor Quake, Stephen Ronald
Thesis advisor Quake, Stephen Ronald
Thesis advisor Chu, Steven
Thesis advisor Weissman, Irving L
Degree committee member Chu, Steven
Degree committee member Weissman, Irving L
Associated with Stanford University, Department of Physics.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Mark Kowarsky.
Note Submitted to the Department of Physics.
Thesis Thesis Ph.D. Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by Mark Alec Kowarsky
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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