Abstract
Proteomic analyses of multispecies systems provide detailed portraits of molecular processes that can expand our understanding of the basic principles of biology and human health. Understanding these systems requires analytical, computational, and statistical methods that are capable of yielding taxon-specific data in samples containing inseparable mixtures of comingled species. In this dissertation, new methods and computational resources are presented to facilitate the analysis of multispecies proteomics. These methods and tools are then applied to patient-derived xenografts to reveal the molecular education of stromal tissue by tumors using species-specific proteomics, and to the human oral microbiome to estimate its composition and simultaneously identify human and microbial proteins using a de novo approach.
Committee Chair
Jason Held
Committee Members
Jason Held, Ron Bose, Kian-Huat Lim, Kristen Naegle,
Degree
Doctor of Philosophy (PhD)
Author's Department
Biology & Biomedical Sciences (Molecular Cell Biology)
Document Type
Dissertation
Date of Award
Summer 8-15-2019
Language
English (en)
DOI
https://doi.org/10.7936/zej5-n021
Author's ORCID
http://orcid.org/0000-0002-5000-8620
Recommended Citation
Mooradian, Arshag, "Computational Approaches for Multispecies and Metaproteomic Analyses" (2019). Arts & Sciences Theses and Dissertations. 1932.
The definitive version is available at https://doi.org/10.7936/zej5-n021
Comments
Permanent URL: https://doi.org/10.7936/zej5-n021