MSc Molecular and Macromolecular Science thesis defence by Mukhayyo Sultonova
Presenter: Mukhayyo Sultonova
Date/Time/Location: Thursday, December 19, 2024, 1:00 pm, AVC 207N
Title: 鈥淕lobal Proteomic Analysis of Abundance and Activity During Nutrient Stress鈥�
Proteomics is a rapidly growing field that focuses on the comprehensive study of proteins within biological systems. Unlike genomic and transcriptomic studies, proteomics offers a direct approach to understanding cellular functions and disease mechanisms by measuring protein abundances, modifications, interactions, and structures. Mass spectrometry-based quantitative proteomics, especially techniques like 2D-LC-MS/MS and isobaric peptide labeling reagents, have made it possible to explore global proteome alterations across different biological conditions. These techniques have enabled determination of global differences in protein solubility and stability during ligand-protein interactions, contributing to an understanding of cellular responses to various perturbations. These perturbations include changes caused by external influences such as changes in nutrient availability. Nutrient stress has been shown to induce proteomic adaptations and has been investigated vastly at the protein abundance level. However, not much is known about changes in protein state (stability or activity) during proliferative and quiescence conditions.
This thesis explores global proteome and protein thermal stability changes under nutrient stress in bacterial models such as E. coli during logarithmic and stationary phases of growth, as well as human cell lines, HEK293T, and MDA-MB468 during 24h glucose starvation, to investigate metabolic changes during nutrient limitation. By integrating proteome abundance and thermal stability measurements into one analysis, this study aims to discover alterations in protein state across differing nutrient conditions that may be associated with important metabolic and metabolism-related diseases. Ultimately, these findings could contribute to the identification of potential therapeutic targets for metabolic disorders and cancer.
Everyone is welcome.
