TY - JOUR
T1 - Proteome dynamics from heavy water metabolic labeling and peptide tandem mass spectrometry
AU - Borzou, A.
AU - Sadygov, Vugar R.
AU - Zhang, William
AU - Sadygov, Rovshan G.
N1 - Funding Information:
Research reported in this publication was supported in part by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number R01GM112044. AB is partly supported by a training fellowship from the Gulf Coast Consortia, on the NLM Training Program in Biomedical Informatics and Data Science T15LM007093. WH was supported by UTMB High School Summer Biomedical Research Program.
Funding Information:
Research reported in this publication was supported in part by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number R01GM112044 . AB is partly supported by a training fellowship from the Gulf Coast Consortia , on the NLM Training Program in Biomedical Informatics and Data Science T15LM007093 . WH was supported by UTMB High School Summer Biomedical Research Program .
Publisher Copyright:
© 2019
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
KW - Fragment ion quantification from deuterium labeled peptides
KW - Heavy water metabolic labeling
KW - In vivo protein turnover
KW - Protein half-life
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U2 - 10.1016/j.ijms.2019.116194
DO - 10.1016/j.ijms.2019.116194
M3 - Article
AN - SCOPUS:85070231672
SN - 1387-3806
VL - 445
JO - International Journal of Mass Spectrometry and Ion Processes
JF - International Journal of Mass Spectrometry and Ion Processes
M1 - 116194
ER -