Literature DB >> 17165830

Mass measurement accuracy in analyses of highly complex mixtures based upon multidimensional recalibration.

Aleksey V Tolmachev1, Matthew E Monroe, Navdeep Jaitly, Vladislav A Petyuk, Joshua N Adkins, Richard D Smith.   

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, for example, the total ion count for the mass spectrum, the individual peak abundance, m/z value, and liquid chromatography 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, for example, 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.

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Year:  2006        PMID: 17165830     DOI: 10.1021/ac0606251

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  17 in total

1.  Parts-per-billion mass measurement accuracy achieved through the combination of multiple linear regression and automatic gain control in a Fourier transform ion cyclotron resonance mass spectrometer.

Authors:  D Keith Williams; David C Muddiman
Journal:  Anal Chem       Date:  2007-06-01       Impact factor: 6.986

2.  Targeted tandem mass spectrometry for high-throughput comparative proteomics employing NanoLC-FTICR MS with external ion dissociation.

Authors:  Hyuk Kang; Ljiljana Pasa-Tolić; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2007-05-03       Impact factor: 3.109

Review 3.  Accurate mass measurements in proteomics.

Authors:  Tao Liu; Mikhail E Belov; Navdeep Jaitly; Wei-Jun Qian; Richard D Smith
Journal:  Chem Rev       Date:  2007-07-25       Impact factor: 60.622

4.  Trapped-ion cell with improved DC potential harmonicity for FT-ICR MS.

Authors:  Aleksey V Tolmachev; Errol W Robinson; Si Wu; Hyuk Kang; Natacha M Lourette; Ljiljana Pasa-Tolić; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2008-01-31       Impact factor: 3.109

5.  Elimination of systematic mass measurement errors in liquid chromatography-mass spectrometry based proteomics using regression models and a priori partial knowledge of the sample content.

Authors:  Vladislav A Petyuk; Navdeep Jaitly; Ronald J Moore; Jie Ding; Thomas O Metz; Keqi Tang; Matthew E Monroe; Aleksey V Tolmachev; Joshua N Adkins; Mikhail E Belov; Alan R Dabney; Wei-Jun Qian; David G Camp; Richard D Smith
Journal:  Anal Chem       Date:  2007-12-29       Impact factor: 6.986

6.  Data Self-Recalibration and Mixture Mass Fingerprint Searching (DASER-MMF) to enhance protein identification within complex mixtures.

Authors:  Ryan M Danell; Severine A Ouvry-Patat; Cameron O Scarlett; J Paul Speir; Christoph H Borchers
Journal:  J Am Soc Mass Spectrom       Date:  2008-07-20       Impact factor: 3.109

7.  DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.

Authors:  Vladislav A Petyuk; Anoop M Mayampurath; Matthew E Monroe; Ashoka D Polpitiya; Samuel O Purvine; Gordon A Anderson; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

8.  MALDI-FTICR imaging mass spectrometry of drugs and metabolites in tissue.

Authors:  Dale S Cornett; Sara L Frappier; Richard M Caprioli
Journal:  Anal Chem       Date:  2008-06-20       Impact factor: 6.986

9.  Characterization of strategies for obtaining confident identifications in bottom-up proteomics measurements using hybrid FTMS instruments.

Authors:  Aleksey V Tolmachev; Matthew E Monroe; Samuel O Purvine; Ronald J Moore; Navdeep Jaitly; Joshua N Adkins; Gordon A Anderson; Richard D Smith
Journal:  Anal Chem       Date:  2008-10-15       Impact factor: 6.986

10.  Comparative proteomics of human monkeypox and vaccinia intracellular mature and extracellular enveloped virions.

Authors:  Nathan P Manes; Ryan D Estep; Heather M Mottaz; Ronald J Moore; Therese R W Clauss; Matthew E Monroe; Xiuxia Du; Joshua N Adkins; Scott W Wong; Richard D Smith
Journal:  J Proteome Res       Date:  2008-01-19       Impact factor: 4.466

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