Login | Register

Development of a Yeast-Based Opioid Biosensor by Adaptation of Pheromone Response Pathway

Title:

Development of a Yeast-Based Opioid Biosensor by Adaptation of Pheromone Response Pathway

Cheney, William (2020) Development of a Yeast-Based Opioid Biosensor by Adaptation of Pheromone Response Pathway. Masters thesis, Concordia University.

[thumbnail of Cheney_MSc_S2020.pdf]
Preview
Text (application/pdf)
Cheney_MSc_S2020.pdf - Accepted Version
Available under License Spectrum Terms of Access.
4MB

Abstract

Opioids are simultaneously an essential medicine and a leading cause of death. Metabolic engineering and novel opioids offer solutions to insecure supply chains and harmful side effects but are limited by cost and time required for high throughput screening. We have developed a yeast-based opioid biosensor to accelerate opioid research. Utilizing Homo sapiens µ-opioid receptor as a detector, our biosensor provides a simulacrum of in vivo opioid response while maintaining ease of implementation of a yeast chassis. Functional µ-opioid receptor expression required the introduction of cholesterol biosynthesis as well as pH adjustment. We also identified codon usage as a parameter affecting Homo sapiens melatonin receptor1a function and the properties of the µ-opioid receptor binding. Under optimized conditions our opioid biosensor displayed 157-fold increase in fluorescence after opioid exposure and had µM affinity for opioid peptides and mM affinity for morphine. This opioid biosensor can aid high throughput screening and provides clues for future functional expression of other difficult G-protein coupled receptors.

Divisions:Concordia University > Faculty of Arts and Science > Biology
Item Type:Thesis (Masters)
Authors:Cheney, William
Institution:Concordia University
Degree Name:M. Sc.
Program:Biology
Date:4 August 2020
Thesis Supervisor(s):Martin, Vincent and Whiteway, Malcolm
ID Code:987270
Deposited By: William Cheney
Deposited On:27 Oct 2022 13:50
Last Modified:28 Oct 2022 00:00
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top