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A strategy for absolute proteome quantification with mass spectrometry by hierarchical use of peptide‐concatenated standards
Author(s) -
Kito Keiji,
Okada Mitsuhiro,
Ishibashi Yuko,
Okada Satoshi,
Ito Takashi
Publication year - 2016
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201500414
Subject(s) - proteome , computational biology , peptide , mass spectrometry , isobaric labeling , label free quantification , quantitative proteomics , replicate , biology , proteomics , ribosomal protein , chemistry , ribosome , bioinformatics , chromatography , biochemistry , rna , gene , statistics , mathematics
The accurate and precise absolute abundance of proteins can be determined using mass spectrometry by spiking the sample with stable isotope‐labeled standards. In this study, we developed a strategy of hierarchical use of peptide‐concatenated standards (PCSs) to quantify more proteins over a wider dynamic range. Multiple primary PCSs were used for quantification of many target proteins. Unique “ID‐tag peptides” were introduced into individual primary PCSs, allowing us to monitor the exact amounts of individual PCSs using a “secondary PCS” in which all “ID‐tag peptides” were concatenated. Furthermore, we varied the copy number of the “ID‐tag peptide” in each PCS according to a range of expression levels of target proteins. This strategy accomplished absolute quantification over a wider range than that of the measured ratios. The quantified abundance of budding yeast proteins showed a high reproducibility for replicate analyses and similar copy numbers per cell for ribosomal proteins, demonstrating the accuracy and precision of this strategy. A comparison with the absolute abundance of transcripts clearly indicated different post‐transcriptional regulation of expression for specific functional groups. Thus, the approach presented here is a faithful method for the absolute quantification of proteomes and provides insights into biological mechanisms, including the regulation of expressed protein abundance.