Proteome dynamics from heavy water metabolic labeling and peptide tandem mass spectrometry

被引:8
|
作者
Borzou, Ahmad [1 ]
Sadygov, Vugar R. [2 ]
Zhang, William [3 ]
Sadygov, Rovshan G. [1 ]
机构
[1] Univ Texas Med Branch, Dept Biochem & Mol Biol, 301 Univ Blvd, Galveston, TX 77555 USA
[2] Clear Creek High Sch, 2305 E Main St, League City, TX 77573 USA
[3] Clear Lake High Sch, 2929 Bay Area Blvd, Houston, TX 77058 USA
基金
美国国家卫生研究院;
关键词
In vivo protein turnover; Heavy water metabolic labeling; Protein half-life; Fragment ion quantification from deuterium labeled peptides; IN-VIVO; TURNOVER; IDENTIFICATION; PROTEOSTASIS; QUADRUPOLE; RATES; SILT; TOOL;
D O I
10.1016/j.ijms.2019.116194
中图分类号
O64 [物理化学(理论化学)、化学物理学]; O56 [分子物理学、原子物理学];
学科分类号
070203 ; 070304 ; 081704 ; 1406 ;
摘要
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. Published by Elsevier B.V.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] High-Resolution Mass Spectrometry for In Vivo Proteome Dynamics using Heavy Water Metabolic Labeling
    Sadygov, Rovshan G.
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (21) : 1 - 13
  • [2] Timepoint Selection Strategy for In Vivo Proteome Dynamics from Heavy Water Metabolic Labeling and LC-MS
    Sadygov, Vugar R.
    Zhang, William
    Sadygov, Rovshan G.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2020, 19 (05) : 2105 - 2112
  • [3] Analysis of Isotopic Labeling in Peptide Fragments by Tandem Mass Spectrometry
    Allen, Doug K.
    Evans, Bradley S.
    Libourel, Igor G. L.
    [J]. PLOS ONE, 2014, 9 (03):
  • [4] Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic Labeling
    Sadygov, Rovshan G.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2021, 20 (04) : 2035 - 2041
  • [5] Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling
    Henock M. Deberneh
    Doaa R. Abdelrahman
    Sunil K. Verma
    Jennifer J. Linares
    Andrew J. Murton
    William K. Russell
    Muge N. Kuyumcu-Martinez
    Benjamin F. Miller
    Rovshan G. Sadygov
    [J]. Communications Chemistry, 6
  • [6] Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling
    Deberneh, Henock M.
    Abdelrahman, Doaa R.
    Verma, Sunil K.
    Linares, Jennifer J.
    Murton, Andrew J.
    Russell, William K.
    Kuyumcu-Martinez, Muge N.
    Miller, Benjamin F.
    Sadygov, Rovshan G.
    [J]. COMMUNICATIONS CHEMISTRY, 2023, 6 (01)
  • [7] Peptide quantification by tandem mass spectrometry
    Zhu, XG
    Desiderio, DM
    [J]. MASS SPECTROMETRY REVIEWS, 1996, 15 (04) : 213 - 240
  • [8] Proteome characterization of the unsequenced psychrophile Pedobacter cryoconitis using 15N metabolic labeling, tandem mass spectrometry, and a new bioinformatic workflow
    Pereira-Medrano, Ana G.
    Margesin, Rosa
    Wright, Phillip C.
    [J]. PROTEOMICS, 2012, 12 (06) : 775 - 789
  • [9] Peptide-Centric Proteome Analysis: An Alternative Strategy for the Analysis of Tandem Mass Spectrometry Data
    Ting, Ying S.
    Egertson, Jarrett D.
    Payne, Samuel H.
    Kim, Sangtae
    MacLean, Brendan
    Kall, Lukas
    Aebersold, Ruedi
    Smith, Richard D.
    Noble, William Stafford
    MacCoss, Michael J.
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2015, 14 (09) : 2301 - 2307
  • [10] Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: The human proteome
    Qian, WJ
    Liu, T
    Monroe, ME
    Strittmatter, EF
    Jacobs, JM
    Kangas, LJ
    Petritis, K
    Camp, DG
    Smith, RD
    [J]. JOURNAL OF PROTEOME RESEARCH, 2005, 4 (01) : 53 - 62