Literature DB >> 26358907

Dynamic Proteomics: In Vivo Proteome-Wide Measurement of Protein Kinetics Using Metabolic Labeling.

W E Holmes1, T E Angel1, K W Li1, M K Hellerstein2.   

Abstract

Control of biosynthetic and catabolic rates of polymers, including proteins, stands at the center of phenotype, physiologic adaptation, and disease pathogenesis. Advances in stable isotope-labeling concepts and mass spectrometric instrumentation now allow accurate in vivo measurement of protein synthesis and turnover rates, both for targeted proteins and for unbiased screening across the proteome. We describe here the underlying principles and operational protocols for measuring protein dynamics, focusing on metabolic labeling with (2)H2O (heavy water) combined with tandem mass spectrometric analysis of mass isotopomer abundances in trypsin-generated peptides. The core principles of combinatorial analysis (mass isotopomer distribution analysis or MIDA) are reviewed in detail, including practical advantages, limitations, and technical procedures to ensure optimal kinetic results. Technical factors include heavy water labeling protocols, optimal duration of labeling, clean up and simplification of sample matrices, accurate quantitation of mass isotopomer abundances in peptides, criteria for adequacy of mass spectrometric abundance measurements, and calculation algorithms. Some applications are described, including the noninvasive "virtual biopsy" strategy for measuring molecular flux rates in tissues through measurements in body fluids. In addition, application of heavy water labeling to measure flux lipidomics is noted. In summary, the combination of stable isotope labeling, particularly from (2)H2O, with tandem mass spectrometric analysis of mass isotopomer abundances in peptides, provides a powerful approach for characterizing the dynamics of proteins across the global proteome. Many applications in research and clinical medicine have been achieved and many others can be envisioned.
© 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (2)H(2)O; Half-life; Kinetics; MIDA; Mass isotopomer distribution analysis; Metabolic label; Protein turnover; Proteome dynamics; Proteomics

Mesh:

Substances:

Year:  2015        PMID: 26358907     DOI: 10.1016/bs.mie.2015.05.018

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  19 in total

1.  Inhibition of jejunal protein synthesis and breakdown in Pseudomonas aeruginosa-induced sepsis pig model.

Authors:  Gabriëlla A M Ten Have; Mariëlle P K J Engelen; Robert R Wolfe; Nicolaas E P Deutz
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2019-04-12       Impact factor: 4.052

Review 2.  Exploring ribosome composition and newly synthesized proteins through proteomics and potential biomedical applications.

Authors:  Miroslava Stastna; Roberta A Gottlieb; Jennifer E Van Eyk
Journal:  Expert Rev Proteomics       Date:  2017-05-26       Impact factor: 3.940

Review 3.  Tracing metabolic flux in vivo: basic model structures of tracer methodology.

Authors:  Il-Young Kim; Sanghee Park; Yeongmin Kim; Hee-Joo Kim; Robert R Wolfe
Journal:  Exp Mol Med       Date:  2022-09-08       Impact factor: 12.153

4.  Gut bacterial nutrient preferences quantified in vivo.

Authors:  Xianfeng Zeng; Xi Xing; Meera Gupta; Felix C Keber; Jaime G Lopez; Ying-Chiang J Lee; Asael Roichman; Lin Wang; Michael D Neinast; Mohamed S Donia; Martin Wühr; Cholsoon Jang; Joshua D Rabinowitz
Journal:  Cell       Date:  2022-09-01       Impact factor: 66.850

5.  Protein turnover models for LC-MS data of heavy water metabolic labeling.

Authors:  Rovshan G Sadygov
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

6.  Transcriptome and proteome dynamics of cervical remodeling in the mouse during pregnancy†.

Authors:  Shanmugasundaram Nallasamy; Hector H Palacios; Rohit Setlem; Mariano Colon Caraballo; Kelvin Li; Edward Cao; Mahalakshmi Shankaran; Marc Hellerstein; Mala Mahendroo
Journal:  Biol Reprod       Date:  2021-11-15       Impact factor: 4.161

7.  Strategies for Extending Metabolomics Studies with Stable Isotope Labelling and Fluxomics.

Authors:  Anubhav Srivastava; Greg M Kowalski; Damien L Callahan; Peter J Meikle; Darren J Creek
Journal:  Metabolites       Date:  2016-10-01

8.  Allele-Independent Turnover of Human Leukocyte Antigen (HLA) Class Ia Molecules.

Authors:  Claudia Prevosto; M Farooq Usmani; Sarah McDonald; Aleksandra M Gumienny; Tim Key; Reyna S Goodman; J S Hill Gaston; Michael J Deery; Robert Busch
Journal:  PLoS One       Date:  2016-08-16       Impact factor: 3.240

9.  Analysis of Mammalian Cell Proliferation and Macromolecule Synthesis Using Deuterated Water and Gas Chromatography-Mass Spectrometry.

Authors:  Victoria C Foletta; Michelle Palmieri; Joachim Kloehn; Shaun Mason; Stephen F Previs; Malcolm J McConville; Oliver M Sieber; Clinton R Bruce; Greg M Kowalski
Journal:  Metabolites       Date:  2016-10-13

Review 10.  Historical and contemporary stable isotope tracer approaches to studying mammalian protein metabolism.

Authors:  Daniel James Wilkinson
Journal:  Mass Spectrom Rev       Date:  2016-05-16       Impact factor: 10.946

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.