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Detectability of Plasma Proteins in SRM Measurements

[ Vol. 16 , Issue. 1 ]

Author(s):

Olga I Kiseleva*, Elena A. Ponomarenko, Yulia A. Romashova, Ekaterina V. Poverennaya and Andrey V. Lisitsa   Pages 74 - 81 ( 8 )

Abstract:


Background: Liquid chromatography coupled with targeted mass spectrometry underwent rapid technical evolution during last years and has become widely used technology in clinical laboratories. It offers confident specificity and sensitivity superior to those of traditional immunoassays. However, due to controversial reports on reproducibility of SRM measurements, the prospects of clinical appliance of the method are worth discussing.

Objective: The study was aimed at assessment of capabilities of SRM to achieve a thorough assembly of the human plasma proteome.

Method: We examined set of 19 human blood plasma samples to measure 100 proteins, including FDA-approved biomarkers, via SRM-assay.

Results: Out of 100 target proteins 43 proteins were confidently detected in at least two blood plasma sample runs, 36 and 21 proteins were either not detected in any run or inconsistently detected, respectively. Empiric dependences on protein detectability were derived to predict the number of biological samples required to detect with certainty a diagnostically relevant quantum of the human plasma proteome.

Conclusion: The number of samples exponentially increases with an increase in the number of protein targets, while proportionally decreasing to the logarithm of the limit of detection. Analytical sensitivity and enormous proteome heterogeneity are major bottlenecks of the human proteome exploration.

Keywords:

Human proteome project, protein detectability, proteomics, SRM, targeted mass spectrometry, blood plasma.

Affiliation:

Department of Bioinformatics, Institute of Biomedical Chemistry, 10/8 Pogodinskaya Street, Moscow, 119121, Department of Bioinformatics, Institute of Biomedical Chemistry, 10/8 Pogodinskaya Street, Moscow, 119121, Department of Bioinformatics, Institute of Biomedical Chemistry, 10/8 Pogodinskaya Street, Moscow, 119121, Department of Bioinformatics, Institute of Biomedical Chemistry, 10/8 Pogodinskaya Street, Moscow, 119121, Department of Bioinformatics, Institute of Biomedical Chemistry, 10/8 Pogodinskaya Street, Moscow, 119121



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