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University of Nevada, Reno

Analysis of Peptide Quantification and Digestion through Assays, HPLC, and Modification of Workflow

Abstract

dc:description.abstract

The goal of the project is to find a believable and accurate method to quantify peptides, by using a variety of commercial protein assays and HPLC. In the field of proteomics, mass spectrometry is the premier method for attaining the mass to charge ratio of a protein. Proteins must be applied to the mass spectrometer as digested peptide fragments. Quantification of peptide samples is therefore an important topic in both the preparation of samples to apply, as well as important information of unknown samples. Currently there is no method by which peptide concentration can be precisely found. Through the application and modification of already existing protein assays as well as HPLC methods, the sensitivity of the assay and technology for peptide samples will be measured. Methods in the workflow leading up to mass spectrometry must be considered as well such as purification of samples, robustness of methods to solubilize proteins and the methods by with proteins are digested.

Degree

thesis:*
Name thesis:degree_name
Biochem and Molecular Biology
Level thesis:degree_level
Honors Thesis
Grantor
University of Nevada, Reno
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • George, Tyler T.
Advisor dc:contributor.advisor
  • Schegg, Kathleen

Rights

dc:rights
Statement dc:rights
  • In Copyright(All Rights Reserved)
Language dc:language.iso
en_US, English

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11714/646
OAI identifier oai:identifier
oai:scholarwolf.unr.edu:11714/646

Chain of custody

source
Harvested from
University of Nevada - Reno
Base URL
scholarwolf.unr.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

George, Tyler T.. Analysis of Peptide Quantification and Digestion through Assays, HPLC, and Modification of Workflow. Honors Thesis thesis, University of Nevada, Reno, 2015. http://hdl.handle.net/11714/646