Optimization of Expression and Purification Strategies and Biochemical Characterization of Membrane Protein Complexes

Description
Despite constituting nearly a quarter of the existing proteome, membrane proteins remain some of the most challenging biological molecules to isolate for biochemical and structural characterization. Insights into membrane protein structure and function can aid in understanding of fundamental cellular

Despite constituting nearly a quarter of the existing proteome, membrane proteins remain some of the most challenging biological molecules to isolate for biochemical and structural characterization. Insights into membrane protein structure and function can aid in understanding of fundamental cellular processes, complex signaling cascades, and the development and progression of disease at a molecular level. This thesis focuses on optimizing strategies for the expression, purification, and characterization of two membrane protein complexes: a bacterial ATP synthase linked to photosynthesis and a neurotrophin receptor complex implicated in neurodegeneration. The multi-subunit ATP synthase complex plays a pivotal role in energy generation and consumption across both autotrophic and heterotrophic organisms. The project described in this thesis aims to characterize this protein complex from a primitive photosynthetic bacterium, Chlorobaculum tepidum, to understand how the complex collaborates with the organism’s photosynthetic system to maintain normal cellular physiology. To isolate the complex, procedures, including detergent usage and sucrose density gradient ultracentrifugation, were optimized to maximize protein stability throughout the membrane extraction process. This work will demonstrate characteristics of the membrane extraction and future projections for its structural determination. The second part of this thesis focuses on the sortilin-p75NTR-proNGF complex, which dictates critical physiological processes in the nervous system and remains an elusive yet prominent contributor to neuronal apoptosis, potentially a leading cause of neurodegeneration. The individual components of the complex could be abundantly expressed and purified by use of the baculovirus expression system in Sf9 insect cells, and preliminary characterizations with electron microscopy indicate the possible formation of the intact complex. Although they play significantly different biological roles, both complexes require specialized techniques to maintain their structural integrity throughout experimental procedures, and together, they illustrate the extreme structural and functional variety that within the membrane proteome.

Details

Contributors
Date Created
2024
Resource Type
Language
  • eng
Note
  • Partial requirement for: M.S., Arizona State University, 2024
  • Field of study: Biochemistry

Additional Information

English
Extent
  • 108 pages
Open Access
Peer-reviewed

Quantifying the Preference of Corynorhinus townsendii to Hibernate in Highly Ventilated Areas in Arizona Caves

Description

Corynorhinus townsendii, a bat species residing in north-central Arizona, has historically been observed hibernating in highly ventilated areas within caves and abandoned mines, but there is little to no specific data regarding this tendency. Understanding how air movement may influence

Corynorhinus townsendii, a bat species residing in north-central Arizona, has historically been observed hibernating in highly ventilated areas within caves and abandoned mines, but there is little to no specific data regarding this tendency. Understanding how air movement may influence hibernacula selection is critical in bettering conservation efforts for Arizona bats, especially with white-nose syndrome continuing to devastate bat species populations throughout the United States. My study aimed to begin filling in this knowledge gap. I measured wind speed in three known Arizona hibernacula during the winter hibernation season and combined this data with the locations of bats observed throughout each of the three survey locations. I modeled our findings using a generalized linear model, which confirmed that wind speed is indeed a predictor of C. townsendii roost selection.

Details

Contributors
Date Created
2022-05
Resource Type

Additional Information

English
Series
  • Academic Year 2021-2022
Open Access
Peer-reviewed