Computational Approaches for Multispecies and Metaproteomic Analyses

Author

Arshag Mooradian, Washington University in St. Louis

ORCID

http://orcid.org/0000-0002-5000-8620

Date of Award

Summer 8-15-2019

Author's School

Graduate School of Arts and Sciences

Author's Department

Biology & Biomedical Sciences (Molecular Cell Biology)

Degree Name

Doctor of Philosophy (PhD)

Degree Type

Dissertation

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.

Language

English (en)

Chair and Committee

Jason Held

Committee Members

Jason Held, Ron Bose, Kian-Huat Lim, Kristen Naegle,

Comments

Permanent URL: https://doi.org/10.7936/zej5-n021

Recommended Citation

Mooradian, Arshag, "Computational Approaches for Multispecies and Metaproteomic Analyses" (2019). Arts & Sciences Electronic Theses and Dissertations. 1932.
https://openscholarship.wustl.edu/art_sci_etds/1932