Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments
Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry is a powerful tool for rapidly generating protein expression data (peptide and protein profiles) from a large number of samples. However, as with any technology, it must be optimized and reproducible for one to have confid...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2003-02-01
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| Series: | BioTechniques |
| Online Access: | https://www.future-science.com/doi/10.2144/03342rr07 |
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| author | H.C. Cordingley S.L.L. Roberts P. Tooke J.R. Armitage P.W. Lane W. Wu S.E. Wildsmith |
| author_facet | H.C. Cordingley S.L.L. Roberts P. Tooke J.R. Armitage P.W. Lane W. Wu S.E. Wildsmith |
| author_sort | H.C. Cordingley |
| collection | DOAJ |
| description | Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry is a powerful tool for rapidly generating protein expression data (peptide and protein profiles) from a large number of samples. However, as with any technology, it must be optimized and reproducible for one to have confidence in the results. Using a classical statistical method called the fractional factorial design of experiments, we assessed the effects of 11 different experimental factors. We also developed several metrics that reflect trace quality and reproducibility. These were used to measure the effect of each individual factor, and the interactions between factors, to determine optimal factor settings and thus ultimately produce the best possible traces. Significant improvements to output traces were seen by simultaneously altering several parameters, either in the sample preparation procedure or during the matrix preparation and application procedure. This has led to the implementation of an improved method that gives a better quality, reproducible, and robust output. |
| format | Article |
| id | doaj-art-cbebacf320f74e468b257f1d194e25e8 |
| institution | OA Journals |
| issn | 0736-6205 1940-9818 |
| language | English |
| publishDate | 2003-02-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | BioTechniques |
| spelling | doaj-art-cbebacf320f74e468b257f1d194e25e82025-08-20T02:26:04ZengTaylor & Francis GroupBioTechniques0736-62051940-98182003-02-0134236437310.2144/03342rr07Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization ExperimentsH.C. Cordingley0S.L.L. Roberts1P. Tooke2J.R. Armitage3P.W. Lane4W. Wu5S.E. Wildsmith61GlaxoSmithKline Pharmaceuticals, Hertfordshire, UK1GlaxoSmithKline Pharmaceuticals, Hertfordshire, UK1GlaxoSmithKline Pharmaceuticals, Hertfordshire, UK1GlaxoSmithKline Pharmaceuticals, Hertfordshire, UK1GlaxoSmithKline Pharmaceuticals, Hertfordshire, UK1GlaxoSmithKline Pharmaceuticals, Hertfordshire, UK1GlaxoSmithKline Pharmaceuticals, Hertfordshire, UKSurface-enhanced laser desorption/ionization time-of-flight mass spectrometry is a powerful tool for rapidly generating protein expression data (peptide and protein profiles) from a large number of samples. However, as with any technology, it must be optimized and reproducible for one to have confidence in the results. Using a classical statistical method called the fractional factorial design of experiments, we assessed the effects of 11 different experimental factors. We also developed several metrics that reflect trace quality and reproducibility. These were used to measure the effect of each individual factor, and the interactions between factors, to determine optimal factor settings and thus ultimately produce the best possible traces. Significant improvements to output traces were seen by simultaneously altering several parameters, either in the sample preparation procedure or during the matrix preparation and application procedure. This has led to the implementation of an improved method that gives a better quality, reproducible, and robust output.https://www.future-science.com/doi/10.2144/03342rr07 |
| spellingShingle | H.C. Cordingley S.L.L. Roberts P. Tooke J.R. Armitage P.W. Lane W. Wu S.E. Wildsmith Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments BioTechniques |
| title | Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments |
| title_full | Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments |
| title_fullStr | Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments |
| title_full_unstemmed | Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments |
| title_short | Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments |
| title_sort | multifactorial screening design and analysis of seldi tof proteinchip r array optimization experiments |
| url | https://www.future-science.com/doi/10.2144/03342rr07 |
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