Using iRT, a normalized retention time for more targeted measurement of peptides

被引:435
作者
Escher, Claudia [1 ]
Reiter, Lukas [1 ]
MacLean, Brendan [2 ]
Ossola, Reto [1 ]
Herzog, Franz [3 ]
Chilton, John [2 ]
MacCoss, Michael J. [2 ]
Rinner, Oliver [1 ]
机构
[1] Biognosys AG, Schlieren, Switzerland
[2] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[3] Swiss Fed Inst Technol, Inst Mol Syst Biol, Zurich, Switzerland
关键词
MS; Multiplexing; Optimization; Proteomics methods; Quantitative analysis; Technology; PERFORMANCE LIQUID-CHROMATOGRAPHY; MASS-SPECTROMETRY; PROTEOME ANALYSES; PLASMA-PROTEINS; ACID-RESIDUES; PREDICTION; VERIFICATION; BIOMARKERS; DYNAMICS; PIPELINE;
D O I
10.1002/pmic.201100463
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Multiple reaction monitoring (MRM) has recently become the method of choice for targeted quantitative measurement of proteins using mass spectrometry. The method, however, is limited in the number of peptides that can be measured in one run. This number can be markedly increased by scheduling the acquisition if the accurate retention time (RT) of each peptide is known. Here we present iRT, an empirically derived dimensionless peptide-specific value that allows for highly accurate RT prediction. The iRT of a peptide is a fixed number relative to a standard set of reference iRT-peptides that can be transferred across laboratories and chromatographic systems. We show that iRT facilitates the setup of multiplexed experiments with acquisition windows more than four times smaller compared to in silico RT predictions resulting in improved quantification accuracy. iRTs can be determined by any laboratory and shared transparently. The iRT concept has been implemented in Skyline, the most widely used software for MRM experiments.
引用
收藏
页码:1111 / 1121
页数:11
相关论文
共 42 条
[21]   Scoring proteomes with proteotypic peptide probes [J].
Kuster, B ;
Schirle, M ;
Mallick, P ;
Aebersold, R .
NATURE REVIEWS MOLECULAR CELL BIOLOGY, 2005, 6 (07) :577-583
[22]   Selected reaction monitoring for quantitative proteomics: a tutorial [J].
Lange, Vinzenz ;
Picotti, Paola ;
Domon, Bruno ;
Aebersold, Ruedi .
MOLECULAR SYSTEMS BIOLOGY, 2008, 4 (1)
[23]   Effect of Collision Energy Optimization on the Measurement of Peptides by Selected Reaction Monitoring (SRM) Mass Spectrometry [J].
MacLean, Brendan ;
Tomazela, Daniela M. ;
Abbatiello, Susan E. ;
Zhang, Shucha ;
Whiteaker, Jeffrey R. ;
Paulovich, Amanda G. ;
Carr, Steven A. ;
MacCoss, Michael J. .
ANALYTICAL CHEMISTRY, 2010, 82 (24) :10116-10124
[24]   Skyline: an open source document editor for creating and analyzing targeted proteomics experiments [J].
MacLean, Brendan ;
Tomazela, Daniela M. ;
Shulman, Nicholas ;
Chambers, Matthew ;
Finney, Gregory L. ;
Frewen, Barbara ;
Kern, Randall ;
Tabb, David L. ;
Liebler, Daniel C. ;
MacCoss, Michael J. .
BIOINFORMATICS, 2010, 26 (07) :966-968
[25]   Halogenated Peptides as Internal Standards (H-PINS) INTRODUCTION OF AN MS-BASED INTERNAL STANDARD SET FOR LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY [J].
Mirzaei, Hamid ;
Brusniak, Mi-Youn ;
Mueller, Lukas N. ;
Letarte, Simon ;
Watts, Julian D. ;
Aebersold, Ruedi .
MOLECULAR & CELLULAR PROTEOMICS, 2009, 8 (08) :1934-1946
[26]   Deep proteome and transcriptome mapping of a human cancer cell line [J].
Nagaraj, Nagarjuna ;
Wisniewski, Jacek R. ;
Geiger, Tamar ;
Cox, Juergen ;
Kircher, Martin ;
Kelso, Janet ;
Paeaebo, Svante ;
Mann, Matthias .
MOLECULAR SYSTEMS BIOLOGY, 2011, 7
[27]   Comparison of molecular dynamics simulation methods for amyloid β1-42 monomers containing D-aspartic acid residues for predicting retention times in chromatography [J].
Oda, Akifumi ;
Kobayashi, Kana ;
Takahashi, Ohgi .
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2011, 879 (29) :3337-3343
[28]   Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics [J].
Ong, SE ;
Blagoev, B ;
Kratchmarova, I ;
Kristensen, DB ;
Steen, H ;
Pandey, A ;
Mann, M .
MOLECULAR & CELLULAR PROTEOMICS, 2002, 1 (05) :376-386
[29]   Prediction of chromatographic retention and protein identification in liquid chromatography/mass spectrometry [J].
Palmblad, M ;
Ramström, M ;
Markides, KE ;
Håkansson, P ;
Bergquist, J .
ANALYTICAL CHEMISTRY, 2002, 74 (22) :5826-5830
[30]   Use of artificial neural networks for the accurate prediction of peptide liquid chromatography elution times in proteome analyses [J].
Petritis, K ;
Kangas, LJ ;
Ferguson, PL ;
Anderson, GA ;
Pasa-Tolic, L ;
Lipton, MS ;
Auberry, KJ ;
Strittmatter, EF ;
Shen, YF ;
Zhao, R ;
Smith, RD .
ANALYTICAL CHEMISTRY, 2003, 75 (05) :1039-1048