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Title: Mass Measurement Accuracy In Analyses Of Highly Complex Mixtures Based Upon Multidimensional Recalibration

Abstract

Mass spectrometry combined with a range of on-line separation techniques has become a powerful tool for characterization of complex mixtures, including protein digests in proteomics studies. Accurate mass measurements can be compromised due to variations that occur in the course of an on-line separation; e.g. due to excessive space charge in an ion trap, temperature changes, or other sources of instrument “drift”. We have developed a multidimensional recalibration approach that utilizes existing information on the likely mixture composition, taking into account variable conditions of mass measurements, and that corrects the mass calibration for sets of individual peaks binned by e.g. the total ion count for the mass spectrum, the individual peak abundance, m/z value, and liquid chromatography (LC) separation time. The multidimensional recalibration approach uses a statistical matching of measured masses in such measurements, often exceeding 105, to a significant number of putative known species likely to be present in the mixture (i.e. having known accurate masses), to identify a subset of the detected species that serve as effective calibrants. The recalibration procedure involves optimization of the mass accuracy distribution (histogram), to provide a more confident distinction between true and false identifications. We report the mass accuracy improvement obtained formore » data acquired using a TOF and several FTICR mass spectrometers. We show that the multidimensional recalibration better compensates for systematic mass measurement errors, and also significantly reduces the mass error spread: i.e. both the accuracy and precision of mass measurements are improved. The mass measurement improvement is found to be virtually independent of the initial instrument calibration, allowing e.g. less frequent calibration. We show that this recalibration can provide sub-ppm mass measurement accuracy for measurements of a complex fungal proteome tryptic digest, and provide improved confidence or numbers of peptide identifications.« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
897688
Report Number(s):
PNNL-SA-49340
KP1601010
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Analytical Chemistry, 78(24):8374-8385
Country of Publication:
United States
Language:
English
Subject:
Mass Spectrometry; proteomics; multidimensional recalibration; mass calibration; liquid chromatography

Citation Formats

Tolmachev, Aleksey V., Monroe, Matthew E., Jaitly, Navdeep, Petyuk, Vladislav A., Adkins, Joshua N., and Smith, Richard D. Mass Measurement Accuracy In Analyses Of Highly Complex Mixtures Based Upon Multidimensional Recalibration. United States: N. p., 2006. Web. doi:10.1021/ac0606251.
Tolmachev, Aleksey V., Monroe, Matthew E., Jaitly, Navdeep, Petyuk, Vladislav A., Adkins, Joshua N., & Smith, Richard D. Mass Measurement Accuracy In Analyses Of Highly Complex Mixtures Based Upon Multidimensional Recalibration. United States. doi:10.1021/ac0606251.
Tolmachev, Aleksey V., Monroe, Matthew E., Jaitly, Navdeep, Petyuk, Vladislav A., Adkins, Joshua N., and Smith, Richard D. Fri . "Mass Measurement Accuracy In Analyses Of Highly Complex Mixtures Based Upon Multidimensional Recalibration". United States. doi:10.1021/ac0606251.
@article{osti_897688,
title = {Mass Measurement Accuracy In Analyses Of Highly Complex Mixtures Based Upon Multidimensional Recalibration},
author = {Tolmachev, Aleksey V. and Monroe, Matthew E. and Jaitly, Navdeep and Petyuk, Vladislav A. and Adkins, Joshua N. and Smith, Richard D.},
abstractNote = {Mass spectrometry combined with a range of on-line separation techniques has become a powerful tool for characterization of complex mixtures, including protein digests in proteomics studies. Accurate mass measurements can be compromised due to variations that occur in the course of an on-line separation; e.g. due to excessive space charge in an ion trap, temperature changes, or other sources of instrument “drift”. We have developed a multidimensional recalibration approach that utilizes existing information on the likely mixture composition, taking into account variable conditions of mass measurements, and that corrects the mass calibration for sets of individual peaks binned by e.g. the total ion count for the mass spectrum, the individual peak abundance, m/z value, and liquid chromatography (LC) separation time. The multidimensional recalibration approach uses a statistical matching of measured masses in such measurements, often exceeding 105, to a significant number of putative known species likely to be present in the mixture (i.e. having known accurate masses), to identify a subset of the detected species that serve as effective calibrants. The recalibration procedure involves optimization of the mass accuracy distribution (histogram), to provide a more confident distinction between true and false identifications. We report the mass accuracy improvement obtained for data acquired using a TOF and several FTICR mass spectrometers. We show that the multidimensional recalibration better compensates for systematic mass measurement errors, and also significantly reduces the mass error spread: i.e. both the accuracy and precision of mass measurements are improved. The mass measurement improvement is found to be virtually independent of the initial instrument calibration, allowing e.g. less frequent calibration. We show that this recalibration can provide sub-ppm mass measurement accuracy for measurements of a complex fungal proteome tryptic digest, and provide improved confidence or numbers of peptide identifications.},
doi = {10.1021/ac0606251},
journal = {Analytical Chemistry, 78(24):8374-8385},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 15 00:00:00 EST 2006},
month = {Fri Dec 15 00:00:00 EST 2006}
}
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