Multifactorial Screening Design and Analysis of SELDI-TOF ProteinChip® Array Optimization Experiments
Author(s) -
Hayley C. Cordingley,
Sophie Roberts,
P. Tooke,
James R. Armitage,
P. W. Lane,
W. Wu,
S.E. Wildsmith
Publication year - 2003
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/03342rr07
Subject(s) - reproducibility , fractional factorial design , mass spectrometry , matrix assisted laser desorption/ionization , design of experiments , factorial experiment , matrix (chemical analysis) , computer science , chromatography , sample preparation , sample size determination , biological system , chemistry , desorption , statistics , mathematics , machine learning , biology , organic chemistry , adsorption
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.
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