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Laboratory methods to improve SELDI peak detection and quantitation

BACKGROUND: Protein profiling with surface-enhanced laser desorption-ionisation time-of-flight mass spectrometry (SELDI-TOF MS) is a promising approach for biomarker discovery. Some candidate biomarkers have been identified using SELDI-TOF, but validation of these can be challenging because of techn...

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Autores principales: Rollin, Dominique, Whistler, Toni, Vernon, Suzanne D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1934350/
https://www.ncbi.nlm.nih.gov/pubmed/17605798
http://dx.doi.org/10.1186/1477-5956-5-9
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author Rollin, Dominique
Whistler, Toni
Vernon, Suzanne D
author_facet Rollin, Dominique
Whistler, Toni
Vernon, Suzanne D
author_sort Rollin, Dominique
collection PubMed
description BACKGROUND: Protein profiling with surface-enhanced laser desorption-ionisation time-of-flight mass spectrometry (SELDI-TOF MS) is a promising approach for biomarker discovery. Some candidate biomarkers have been identified using SELDI-TOF, but validation of these can be challenging because of technical parameters that effect reproducibility. Here we describe steps to improve the reproducibility of peak detection. METHODS: SELDI-TOF mass spectrometry was performed using a system manufactured by Ciphergen Biosystems along with their ProteinChip System. Serum from 10 donors was pooled and used for all experiments. Serum was fractionated with Expression Difference Mapping kit-Serum Fractionation from the same company and applied to three different ProteinChips. The fractionations were run over a one month period to examine the contribution of sample batch and time to peak detection variability. Spectra were processed and peaks detected using the Ciphergen Express software and variance measured. RESULTS: Experimental parameters specific to the serum fraction and ProteinChip, including spot protocols (laser intensity and detector sensitivity) were optimized to decrease peak detection variance. Optimal instrument settings, regular calibration along with controlled sample handling and processing nearly doubled the number of peaks detected and decreased intensity variance. CONCLUSION: This report assesses the variation across fractionated sera processed over a one-month period. The optimizations reported decreased the variance and increased the number of peaks detected.
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spelling pubmed-19343502007-07-28 Laboratory methods to improve SELDI peak detection and quantitation Rollin, Dominique Whistler, Toni Vernon, Suzanne D Proteome Sci Methodology BACKGROUND: Protein profiling with surface-enhanced laser desorption-ionisation time-of-flight mass spectrometry (SELDI-TOF MS) is a promising approach for biomarker discovery. Some candidate biomarkers have been identified using SELDI-TOF, but validation of these can be challenging because of technical parameters that effect reproducibility. Here we describe steps to improve the reproducibility of peak detection. METHODS: SELDI-TOF mass spectrometry was performed using a system manufactured by Ciphergen Biosystems along with their ProteinChip System. Serum from 10 donors was pooled and used for all experiments. Serum was fractionated with Expression Difference Mapping kit-Serum Fractionation from the same company and applied to three different ProteinChips. The fractionations were run over a one month period to examine the contribution of sample batch and time to peak detection variability. Spectra were processed and peaks detected using the Ciphergen Express software and variance measured. RESULTS: Experimental parameters specific to the serum fraction and ProteinChip, including spot protocols (laser intensity and detector sensitivity) were optimized to decrease peak detection variance. Optimal instrument settings, regular calibration along with controlled sample handling and processing nearly doubled the number of peaks detected and decreased intensity variance. CONCLUSION: This report assesses the variation across fractionated sera processed over a one-month period. The optimizations reported decreased the variance and increased the number of peaks detected. BioMed Central 2007-07-02 /pmc/articles/PMC1934350/ /pubmed/17605798 http://dx.doi.org/10.1186/1477-5956-5-9 Text en Copyright © 2007 Rollin et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Rollin, Dominique
Whistler, Toni
Vernon, Suzanne D
Laboratory methods to improve SELDI peak detection and quantitation
title Laboratory methods to improve SELDI peak detection and quantitation
title_full Laboratory methods to improve SELDI peak detection and quantitation
title_fullStr Laboratory methods to improve SELDI peak detection and quantitation
title_full_unstemmed Laboratory methods to improve SELDI peak detection and quantitation
title_short Laboratory methods to improve SELDI peak detection and quantitation
title_sort laboratory methods to improve seldi peak detection and quantitation
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1934350/
https://www.ncbi.nlm.nih.gov/pubmed/17605798
http://dx.doi.org/10.1186/1477-5956-5-9
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