Literature DB >> 22535440

Improving the precision of quantitative bottom-up proteomics based on stable isotope-labeled proteins.

Anna Konopka1, Martin E Boehm, Marion Rohmer, Dominic Baeumlisberger, Michael Karas, Wolf D Lehmann.   

Abstract

Stable isotope dilution-based quantitative proteomics with intact labeled proteins as internal standards in combination with a bottom-up approach, i.e., with quantification on the peptide level, is an established method. To explore the technical precision of this approach, calmodulin-like protein 3 was prepared in non-labeled (light) and SILAC-type labeled (heavy) form by cell-free synthesis, mixed, digested with trypsin, and analyzed by UPLC-ESI-MS. In total, 16 light/heavy peptide pair ratios were determined. Pair-wise comparison of ratios of 12 peptides selected according to S/N ratios >50 revealed that the majority exhibited ratios, which were different at a high level of statistical significance (p < 0.001). HPLC-MALDI-MS ratio data confirmed this observation, thus excluding the ionization method as a source of the observed ratio differences. Variation of the digestion time from 0.25 to 4 h showed that the light/heavy ratios of most peptides decrease with time, indicating a kinetic isotope effect leading to preferred cleavage of light calmodulin-like protein 3. The subset of peptides with statistically identical ratios resulted in an average ratio with a RSD of 1.0 %. The light/heavy ratio calculated on the basis of these peptides probably provides the most accurate molar protein ratio.

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Year:  2012        PMID: 22535440     DOI: 10.1007/s00216-012-6007-6

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  2 in total

1.  Protein Mobility Shifts Contribute to Gel Electrophoresis Liquid Chromatography Analysis.

Authors:  Nicholas J Carruthers; Graham C Parker; Theresa Gratsch; Joseph A Caruso; Paul M Stemmer
Journal:  J Biomol Tech       Date:  2015-09

Review 2.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

  2 in total

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