Literature DB >> 25494833

Quantifying protein measurands by peptide measurements: where do errors arise?

Irene van den Broek1, Fred P H T M Romijn, Nico P M Smit, Arnoud van der Laarse, Jan W Drijfhout, Yuri E M van der Burgt, Christa M Cobbaert.   

Abstract

Clinically actionable quantification of protein biomarkers by mass spectrometry (MS) requires analytical performance in concordance with quality specifications for diagnostic tests. Laboratory-developed tests should, therefore, be validated in accordance with EN ISO 15189:2012 guidelines for medical laboratories to demonstrate competence and traceability along the entire workflow, including the selected standardization strategy and the phases before, during, and after proteolysis. In this study, bias and imprecision of a previously developed MS method for quantification of serum apolipoproteins A-I (Apo A-I) and B (Apo B) were thoroughly validated according to Clinical and Laboratory Standards Institute (CLSI) guidelines EP15-A2 and EP09-A3, using 100 patient sera and either stable-isotope labeled (SIL) peptides or SIL-Apo A-I as internal standard. The systematic overview of error components assigned sample preparation before the first 4 h of proteolysis as major source (∼85%) of within-sample imprecision without external calibration. No improvement in imprecision was observed with the use of SIL-Apo A-I instead of SIL-peptides. On the contrary, when the use of SIL-Apo A-I was combined with external calibration, imprecision improved significantly (from ∼9% to ∼6%) as a result of the normalization for matrix effects on linearity. A between-sample validation of bias in 100 patient sera further supported the presence of matrix effects on digestion completeness and additionally demonstrated specimen-specific biases associated with modified peptide sequences or alterations in protease activity. In conclusion, the presented overview of bias and imprecision components contributes to a better understanding of the sources of errors in MS-based protein quantification and provides valuable recommendations to assess and control analytical quality in concordance with the requirements for clinical use.

Entities:  

Keywords:  Apo A-I mutations; analytical method validation; matrix effects; quantitative Clinical Chemistry Proteomics (qCCP); selected or multiple reaction monitoring (SRM/MRM); stable-isotope labeled peptide or protein; trypsin digestion efficiency

Mesh:

Substances:

Year:  2015        PMID: 25494833     DOI: 10.1021/pr5011179

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  11 in total

1.  Development of a Multiplexed Liquid Chromatography Multiple-Reaction-Monitoring Mass Spectrometry (LC-MRM/MS) Method for Evaluation of Salivary Proteins as Oral Cancer Biomarkers.

Authors:  Yi-Ting Chen; Hsiao-Wei Chen; Chun-Feng Wu; Lichieh Julie Chu; Wei-Fang Chiang; Chih-Ching Wu; Jau-Song Yu; Cheng-Han Tsai; Kung-Hao Liang; Yu-Sun Chang; Maureen Wu; Wei-Ting Ou Yang
Journal:  Mol Cell Proteomics       Date:  2017-02-24       Impact factor: 5.911

2.  Impact of Sample Matrix on Accuracy of Peptide Quantification: Assessment of Calibrator and Internal Standard Selection and Method Validation.

Authors:  Samuel L Arnold; Faith Stevison; Nina Isoherranen
Journal:  Anal Chem       Date:  2015-12-14       Impact factor: 6.986

3.  Serum apolipoprotein A-1 quantification by LC-MS with a SILAC internal standard reveals reduced levels in smokers.

Authors:  Qingqing Wang; Suhong Zhang; Lili Guo; Christine M Busch; Wenying Jian; Naidong Weng; Nathaniel W Snyder; Kannan Rangiah; Clementina Mesaros; Ian A Blair
Journal:  Bioanalysis       Date:  2015-09-22       Impact factor: 2.681

4.  Random and independent sampling of endogenous tryptic peptides from normal human EDTA plasma by liquid chromatography micro electrospray ionization and tandem mass spectrometry.

Authors:  Jaimie Dufresne; Angelique Florentinus-Mefailoski; Juliet Ajambo; Ammara Ferwa; Peter Bowden; John Marshall
Journal:  Clin Proteomics       Date:  2017-12-08       Impact factor: 3.988

5.  MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics.

Authors:  Andy T Kong; Felipe V Leprevost; Dmitry M Avtonomov; Dattatreya Mellacheruvu; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2017-04-10       Impact factor: 28.547

6.  High throughput quantification of apolipoproteins A-I and B-100 by isotope dilution MS targeting fast trypsin releasable peptides without reduction and alkylation.

Authors:  Bryan A Parks; David M Schieltz; Michael L Andrews; Michael S Gardner; Jon C Rees; Christopher A Toth; Jeffrey I Jones; Lisa G McWilliams; Zsuzsanna Kuklenyik; James L Pirkle; John R Barr
Journal:  Proteomics Clin Appl       Date:  2017-04-03       Impact factor: 3.494

7.  MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines.

Authors:  Bo Burla; Makoto Arita; Masanori Arita; Anne K Bendt; Amaury Cazenave-Gassiot; Edward A Dennis; Kim Ekroos; Xianlin Han; Kazutaka Ikeda; Gerhard Liebisch; Michelle K Lin; Tze Ping Loh; Peter J Meikle; Matej Orešič; Oswald Quehenberger; Andrej Shevchenko; Federico Torta; Michael J O Wakelam; Craig E Wheelock; Markus R Wenk
Journal:  J Lipid Res       Date:  2018-08-16       Impact factor: 5.922

8.  Effects of alcohol-induced increase in CYP2E1 content in human liver microsomes on the activity and cooperativity of CYP3A4.

Authors:  Bikash Dangi; Nadezhda Y Davydova; Marc A Maldonado; Armina Abbasi; Nikita E Vavilov; Victor G Zgoda; Dmitri R Davydov
Journal:  Arch Biochem Biophys       Date:  2020-11-13       Impact factor: 4.013

9.  HILIC-MRM-MS for Linkage-Specific Separation of Sialylated Glycopeptides to Quantify Prostate-Specific Antigen Proteoforms.

Authors:  Yuri E M van der Burgt; Kasper M Siliakus; Christa M Cobbaert; L Renee Ruhaak
Journal:  J Proteome Res       Date:  2020-03-18       Impact factor: 4.466

Review 10.  Developments in FTICR-MS and Its Potential for Body Fluid Signatures.

Authors:  Simone Nicolardi; Bogdan Bogdanov; André M Deelder; Magnus Palmblad; Yuri E M van der Burgt
Journal:  Int J Mol Sci       Date:  2015-11-13       Impact factor: 5.923

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