QCAL—a Novel Standard for Assessing Instrument Conditions for Proteome Analysis
If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capabl...
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Published in | Journal of the American Society for Mass Spectrometry Vol. 19; no. 9; pp. 1275 - 1280 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Elsevier Inc
01.09.2008
Springer-Verlag Elsevier Science Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1044-0305 1879-1123 |
DOI | 10.1016/j.jasms.2008.05.019 |
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Abstract | If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in
E. coli, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics.
QCAL1 is described as a novel tool for the assessment and optimization of instruments used in proteome analyses, providing a platform for standardization. |
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AbstractList | If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in
E. coli
, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics. If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in E. coli, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics. QCAL1 is described as a novel tool for the assessment and optimization of instruments used in proteome analyses, providing a platform for standardization. If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in E. coli, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics. If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in E. coli, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics.If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in E. coli, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics. |
Author | Eyers, Claire E. Wong, Stephen C.C. Simpson, Deborah M. Gaskell, Simon J. Beynon, Robert J. |
Author_xml | – sequence: 1 givenname: Claire E. surname: Eyers fullname: Eyers, Claire E. organization: Michael Barber Centre for Mass Spectrometry, Manchester Interdisciplinary Biocentre, School of Chemistry, University of Manchester, Manchester, United Kingdom – sequence: 2 givenname: Deborah M. surname: Simpson fullname: Simpson, Deborah M. organization: Protein and Functional Genomics Group, Department of Veterinary Preclinical Sciences, Faculty of Veterinary Sciences, University of Liverpool, Liverpool, United Kingdom – sequence: 3 givenname: Stephen C.C. surname: Wong fullname: Wong, Stephen C.C. organization: Michael Barber Centre for Mass Spectrometry, Manchester Interdisciplinary Biocentre, School of Chemistry, University of Manchester, Manchester, United Kingdom – sequence: 4 givenname: Robert J. surname: Beynon fullname: Beynon, Robert J. organization: Protein and Functional Genomics Group, Department of Veterinary Preclinical Sciences, Faculty of Veterinary Sciences, University of Liverpool, Liverpool, United Kingdom – sequence: 5 givenname: Simon J. surname: Gaskell fullname: Gaskell, Simon J. email: Simon.Gaskell@manchester.ac.uk organization: Michael Barber Centre for Mass Spectrometry, Manchester Interdisciplinary Biocentre, School of Chemistry, University of Manchester, Manchester, United Kingdom |
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Copyright | 2008 American Society for Mass Spectrometry American Society for Mass Spectrometry 2008 2008 INIST-CNRS Journal of The American Society for Mass Spectrometry is a copyright of Springer, 2008. |
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Keywords | Tryptic Peptide Instrument Resolution Artificial Protein Peptide Homoarginine Tandem mass spectrometry Fourier transformation Peptides Coupled method HPLC chromatography Proteome Matrix assisted laser desorption ionization Ion cyclotron resonance spectrometry Electrospray Optimization Protein Operating conditions Reversed phase chromatography Analysis method Synthetic product Peptide fragment Time of flight method Polypeptide Proteomics Mass spectrometry |
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SubjectTerms | Amino Acid Sequence Analytical Chemistry Analytical, structural and metabolic biochemistry Bacterial Proteins - chemistry Bacterial Proteins - metabolism Bioinformatics Biological and medical sciences Biotechnology Chemistry Chemistry and Materials Science Chromatography, High Pressure Liquid E coli Escherichia coli - metabolism Fundamental and applied biological sciences. Psychology General aspects, investigation methods Mass spectrometry Molecular Sequence Data Nanotechnology Organic Chemistry Peptides Peptides - analysis Proteins Proteomics Proteomics - methods Proteomics - standards Reagents Reference Standards Short Communication Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods Spectroscopy, Fourier Transform Infrared - methods Standardization |
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Title | QCAL—a Novel Standard for Assessing Instrument Conditions for Proteome Analysis |
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