Detection and correction of interference in SRM analysis

被引：19

作者：

Bao, Y. ^{[1
,2
]}

Waldemarson, S. ^{[3
]}

Zhang, G. ^{[3
]}

Wahlander, A. ^{[3
]}

Ueberheide, B. ^{[4
]}

Myung, S. ^{[5
]}

Reed, B. ^{[5
]}

Molloy, K. ^{[5
]}

Padovan, J. C. ^{[5
]}

Eriksson, J. ^{[6
]}

Neubert, T. A. ^{[3
,4
]}

Chait, B. T. ^{[5
]}

Fenyoe, D. ^{[1
,4
]}

机构：

[1] NYU, Sch Med, Ctr Hlth Informat & Bioinformat, Lab Computat Prote, New York, NY 10012 USA

[2] Stevens Inst Technol, Hoboken, NJ 07030 USA

[3] NYU, Sch Med, Skirball Inst, Kimmel Ctr Biol & Med, New York, NY USA

[4] NYU, Sch Med, New York, NY USA

[5] Rockefeller Univ, Lab Mass Spectrometry & Gaseous Ion Chem, New York, NY 10021 USA

[6] Swedish Univ Agr Sci, Dept Chem, Uppsala, Sweden

来源：

METHODS | 2013年 / 61卷 / 03期

基金：

美国国家卫生研究院;

关键词：

Mass spectrometry; Selected reaction monitoring; Interference detection; Interference correction; Linear range detection; MASS-SPECTROMETRY; ISOTOPE-DILUTION; QUANTIFICATION; PROTEINS; PLASMA; QUANTITATION; METABOLITE; PEPTIDES; DRIVEN; ASSAYS;

D O I：

10.1016/j.ymeth.2013.05.008

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Selected Reaction Monitoring (SRM) is a method of choice for accurate quantitation of low-abundance proteins in complex backgrounds. This strategy is, however, sensitive to interference from other components in the sample that have the same precursor and fragment masses as the monitored transitions. We present here an approach to detect interference by using the expected relative intensity of SRM transitions. We also designed an algorithm to automatically detect the linear range of calibration curves. These approaches were applied to the experimental data of Clinical Proteomic Tumor Analysis Consortium (CPTAC) Verification Work Group Study 7 and show that the corrected measurements provide more accurate quantitation than the uncorrected data. (C) 2013 The Authors. Published by Elsevier Inc. All rights reserved.

引用

页码：299 / 303

页数：5

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