amino acid labeling
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Biomolecules ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 135
Author(s):  
Yanchun Lin ◽  
Michael L. Gross

Metal ions are critical for the biological and physiological functions of many proteins. Mass spectrometry (MS)-based structural proteomics is an ever-growing field that has been adopted to study protein and metal ion interactions. Native MS offers information on metal binding and its stoichiometry. Footprinting approaches coupled with MS, including hydrogen/deuterium exchange (HDX), “fast photochemical oxidation of proteins” (FPOP) and targeted amino-acid labeling, identify binding sites and regions undergoing conformational changes. MS-based titration methods, including “protein–ligand interactions by mass spectrometry, titration and HD exchange” (PLIMSTEX) and “ligand titration, fast photochemical oxidation of proteins and mass spectrometry” (LITPOMS), afford binding stoichiometry, binding affinity, and binding order. These MS-based structural proteomics approaches, their applications to answer questions regarding metal ion protein interactions, their limitations, and recent and potential improvements are discussed here. This review serves as a demonstration of the capabilities of these tools and as an introduction to wider applications to solve other questions.


2021 ◽  
Author(s):  
Dean E Hammond ◽  
Deborah M Simpson ◽  
Catarina Franco ◽  
Marina Wright Muelas ◽  
John Waters ◽  
...  

Changes in the abundance of individual proteins in the proteome can be elicited by modulation of protein synthesis (the rate of input of newly synthesized proteins into the protein pool) or degradation (the rate of removal of protein molecules from the pool). A full understanding of proteome changes therefore requires a definition of the roles of these two processes in proteostasis, collectively known as protein turnover. Because protein turnover occurs even in the absence of overt changes in pool abundance, turnover measurements necessitate monitoring the flux of stable isotope labeled precursors through the protein pool such as labeled amino acids or metabolic precursors such as ammonium chloride or heavy water. In cells in culture, the ability to manipulate precursor pools by rapid medium changes is simple, but for more complex systems such as intact animals, the approach becomes more convoluted. Individual methods bring specific complications, and the suitability of different methods has not been comprehensively explored. In this study we compare the turnover rates of proteins across four mouse tissues, obtained from the same inbred mouse strain maintained under identical husbandry conditions, measured using either [13C6]lysine or [2H2]O as the labeling precursor. We show that for long-lived proteins, the two approaches yield essentially identical measures of the first order rate constant for degradation. For short-lived proteins, there is a need to compensate for the slower equilibration of lysine through the precursor pools. We evaluate different approaches to provide that compensation. We conclude that both labels are suitable, but careful determination of precursor enrichment kinetics in amino acid labeling is critical and has a considerable influence on the numerical values of the derived protein turnover rates.


2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Aya M. Saleh ◽  
Kristen M. Wilding ◽  
Sarah Calve ◽  
Bradley C. Bundy ◽  
Tamara L. Kinzer-Ursem

ChemBioChem ◽  
2019 ◽  
Vol 20 (5) ◽  
pp. 659-666 ◽  
Author(s):  
Robert B. Quast ◽  
Fataneh Fatemi ◽  
Michel Kranendonk ◽  
Emmanuel Margeat ◽  
Gilles Truan

2016 ◽  
Vol 79 (17-18) ◽  
pp. 1197-1205 ◽  
Author(s):  
Zhongyi Zhang ◽  
Huayun Xiao ◽  
Nengjian Zheng ◽  
Xiaofei Gao ◽  
RenGuo Zhu

2015 ◽  
Vol 51 (4) ◽  
pp. 772-775 ◽  
Author(s):  
Yan Cai ◽  
Jing Jiao ◽  
Zhichao Bin ◽  
Ying Zhang ◽  
Pengyuan Yang ◽  
...  

A general and simple labeling method, termed glycan reductive isotope-coded amino acid labeling (GRIAL), was developed for mass spectrometry-based quantitative N-glycomics.


The Analyst ◽  
2014 ◽  
Vol 139 (18) ◽  
pp. 4497-4504 ◽  
Author(s):  
Li-Qi Xie ◽  
Ai-Ying Nie ◽  
Shu-Jun Yang ◽  
Chao Zhao ◽  
Lei Zhang ◽  
...  

An accurate and high throughput isobaric MS2 quantification strategy based on metabolic labeling and trypsin digestion.


2012 ◽  
Vol 12 (1) ◽  
pp. 363-377 ◽  
Author(s):  
Yu Ye ◽  
Guangrong Yan ◽  
Yongwen Luo ◽  
Tiezhu Tong ◽  
Xiangtao Liu ◽  
...  

Worm ◽  
2012 ◽  
Vol 1 (1) ◽  
pp. 66-71 ◽  
Author(s):  
Julius Fredens ◽  
Nils J. Færgeman

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