Literature DB >> 32255452

Determination of the concentration range for 267 proteins from 21 lots of commercial human plasma using highly multiplexed multiple reaction monitoring mass spectrometry.

Claudia Gaither1, Robert Popp1, Yassene Mohammed2, Christoph H Borchers3.   

Abstract

Multiple reaction monitoring (MRM) is a key tool for biomarker validation and the translation of potential biomarkers into the clinic. To demonstrate the applicability of MRM towards achieving this goal, we set out to determine the concentration ranges of 267 plasma proteins, including 61 FDA-approved/LDT developed biomarkers, in 21 commercial human plasma lots, as well as to assess accuracy and precision. Each target protein was quantified by calculating the area ratio of the endogenous tryptic target peptide to its stable isotope-labelled internal standard equivalent and compared to a standard curve. This highly multiplexed approach utilized a standard-flow UHPLC system linked to a triple quadrupole. All samples were analyzed across three separate days and assessed for robustness and accuracy. The standard curves and quality control samples showed excellent performance, with >93% of standards and QCs meeting the acceptance criteria. A total of 248 proteins were able to be quantified in at least one sample on at least one of the three days, with 111 proteins being quantified in all 21 samples on all three days. The protein concentrations across all proteins covered six orders of magnitude. Furthermore, excellent three-day precision was demonstrated with 86% of CVs falling below 15%. Overall, the protein concentration differences ranged from 1.1-fold for metalloproteinase inhibitor 2, to 69-fold for serum amyloid A-1/A-2.

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Year:  2020        PMID: 32255452     DOI: 10.1039/c9an01893j

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  4 in total

1.  Multiple Reaction Monitoring-Mass Spectrometry Enables Robust Quantitation of Plasma Proteins Regardless of Whole Blood Processing Delays That May Occur in the Clinic.

Authors:  Claudia Gaither; Robert Popp; René P Zahedi; Christoph H Borchers
Journal:  Mol Cell Proteomics       Date:  2022-02-17       Impact factor: 7.381

2.  Proteomics in thrombosis research.

Authors:  Fredrik Edfors; Maria Jesus Iglesias; Lynn M Butler; Jacob Odeberg
Journal:  Res Pract Thromb Haemost       Date:  2022-04-25

3.  Prognosis of Alzheimer's Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning.

Authors:  Alexey S Kononikhin; Natalia V Zakharova; Savva D Semenov; Anna E Bugrova; Alexander G Brzhozovskiy; Maria I Indeykina; Yana B Fedorova; Igor V Kolykhalov; Polina A Strelnikova; Anna Yu Ikonnikova; Dmitry A Gryadunov; Svetlana I Gavrilova; Evgeny N Nikolaev
Journal:  Int J Mol Sci       Date:  2022-07-18       Impact factor: 6.208

4.  Targeted proteomics for evaluating risk of venous thrombosis following traumatic lower-leg injury or knee arthroscopy.

Authors:  Yassene Mohammed; Carolina E Touw; Banne Nemeth; Raymond A van Adrichem; Christoph H Borchers; Frits R Rosendaal; Bart J van Vlijmen; Suzanne C Cannegieter
Journal:  J Thromb Haemost       Date:  2022-01-06       Impact factor: 16.036

  4 in total

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