Literature DB >> 32055233

Proteome Dynamics from Heavy Water Metabolic Labeling and Peptide Tandem Mass Spectrometry.

Ahmad Borzou1, Vugar R Sadygov2, William Zhang3, Rovshan G Sadygov1.   

Abstract

Protein homeostasis (proteostasis) is a result of a dynamic equilibrium between protein synthesis and degradation. It is important for healthy cell/organ functioning and is often associated with diseases such as neurodegenerative diseases and non-Alcoholic Fatty Liver disease. Heavy water metabolic labeling, combined with liquid-chromatography and mass spectrometry (LC-MS), is a powerful approach to study proteostasis in vivo in high throughput. Traditionally, intact peptide signals are used to estimate stable isotope incorporation in time-course experiments. The time-course of label incorporation is used to extract protein decay rate constant (DRC). Intact peptide signals, computed from integration in chromatographic time and mass-to-charge ratio (m/z) domains, usually, provide an accurate estimate of label incorporation. However, sample complexity (co-elution), limited dynamic range, and low signal-to-noise ratio (S/N) may adversely interfere with the peptide signals. These artifacts complicate the DRC estimations by distorting peak shape in chromatographic time and m/z domains. Fragment ions, on the other hand, are less prone to these artifacts and are potentially well suited in aiding DRC estimations. Here, we show that the label incorporation encoded into the isotope distributions of fragment ions reflect the isotope enrichment during the metabolic labeling with heavy water. We explore the label incorporation statistics for devising practical approaches for DRC estimations.

Entities:  

Keywords:  fragment ion quantification from deuterium labeled peptides; heavy water metabolic labeling; in vivo protein turnover; protein half-life

Year:  2019        PMID: 32055233      PMCID: PMC7017751          DOI: 10.1016/j.ijms.2019.116194

Source DB:  PubMed          Journal:  Int J Mass Spectrom        ISSN: 1387-3806            Impact factor:   1.986


  27 in total

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4.  Metabolite Spectral Accuracy on Orbitraps.

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Journal:  Anal Chem       Date:  2017-05-18       Impact factor: 6.986

5.  Measurement of human plasma proteome dynamics with (2)H(2)O and liquid chromatography tandem mass spectrometry.

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6.  Measuring protein synthesis using metabolic ²H labeling, high-resolution mass spectrometry, and an algorithm.

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Journal:  Anal Biochem       Date:  2011-01-20       Impact factor: 3.365

7.  Tau Kinetics in Neurons and the Human Central Nervous System.

Authors:  Chihiro Sato; Nicolas R Barthélemy; Kwasi G Mawuenyega; Bruce W Patterson; Brian A Gordon; Jennifer Jockel-Balsarotti; Melissa Sullivan; Matthew J Crisp; Tom Kasten; Kristopher M Kirmess; Nicholas M Kanaan; Kevin E Yarasheski; Alaina Baker-Nigh; Tammie L S Benzinger; Timothy M Miller; Celeste M Karch; Randall J Bateman
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  3 in total

1.  Partial Isotope Profiles Are Sufficient for Protein Turnover Analysis Using Closed-Form Equations of Mass Isotopomer Dynamics.

Authors:  Rovshan G Sadygov
Journal:  Anal Chem       Date:  2020-10-21       Impact factor: 6.986

2.  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

3.  Timepoint Selection Strategy for In Vivo Proteome Dynamics from Heavy Water Metabolic Labeling and LC-MS.

Authors:  Vugar R Sadygov; William Zhang; Rovshan G Sadygov
Journal:  J Proteome Res       Date:  2020-04-02       Impact factor: 4.466

  3 in total

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