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In Vivo Assessment of Protein Turnover and Proteostasis Machinery

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Nathan Basisty

Nathan Basisty

Buck Institute for Research on Aging

Dr. Basisty is a postdoctoral fellow at the Buck Institute for Research on Aging. He received his PhD in Pathology and BS in Biochemistry from the University of Washington. Dr. Basisty develops novel and specialized proteomic approaches to understand aging processes and age-related diseases, including the application of data-independent acquisition (DIA) or SWATH workflows to identify and quantify PTMs and secretomes, development of pipelines to comprehensively assess protein turnover rates, and cell-surface proteomics (surfaceomics).  A major aim of his current work is to discover biomarkers of cellular senescence and develop translationally relevant approaches to study senescent cells in people.  Dr. Basisty has been recognized for his work investigating the role of protein turnover in mammalian aging and longevity using novel combinations of metabolic labeling, LC-MS/MS, and software tools. He has applied these proteomic approaches to understand changes to the composition and turnover of the mouse proteome during aging and in mouse models of longevity, including calorie restriction (CR) and rapamycin treatment. These works have resulted in two “Aging Cell Best Paper Prizes”, in 2014 and 2016. He was also lead author in a study examining protein turnover rates in long-lived mice overexpressing mitochondria-targeted catalase (mCAT), which demonstrates that the mCAT proteome exhibits “reverse antagonistic pleiotropy” and suggests that reactive oxygen species may exhibit true antagonistic pleiotropy. For this work, he received The Joseph A. Pignolo, Sr. Award in Aging Research 2017, recognized as the “year’s most outstanding contribution to basic aging research”.  

Collection Overview

Maintenance of protein homeostasis (‘proteostasis’), or the correct balance of protein synthesis, folding, localization, and degradation, is essential for cellular health. Declining proteostasis is a hallmark of aging and numerous chronic age-related diseases, such as neurodegeneration, cardiac dysfunction, and sarcopenia, among others. Conversely, enhancement of proteostasis machinery is associated with health and longevity. Therefore, quantitative measurements of protein turnover and proteostasis machinery are critical tools to assess disease mechanisms and potential therapeutic interventions. 

While numerous methods exist to assess changes in proteostasis, they often rely on the measurement of markers of protein synthesis and degradation machinery as a surrogate for changes in protein turnover. With mass spectrometry-based approaches, it is possible to measure changes in protein turnover directly, quantitatively, and comprehensively across many individual proteins. Additionally, emerging molecular approaches have enabled quantitative measurement of flux through protein degradation pathways and assessment of increasingly specific degradation processes, such as aggrephagy, chaperone mediated autophagy, mitophagy, etc.

This methods collection will provide quantitative methods to measure in vivo protein turnover rates and tools to assess proteostasis machinery. These methods will include large-scale mass spectrometry-based approaches which utilize stable isotope labeling and sophisticated analysis pipelines, as well as molecular methods to quantitatively assess autophagic flux and decipher the control mechanisms underlying the clearance of proteins.

Articles

Detection of Protein Aggregation using Fluorescence Correlation Spectroscopy
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Detection of Protein Aggregation using Fluorescence Correlation Spectroscopy

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2021

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