Literature DB >> 16999241

Application of the Taguchi method to the analysis of the deposition step in microarray production.

Marco Severgnini1, Linda Pattini, Clarissa Consolandi, Ermanno Rizzi, Cristina Battaglia, Gianluca De Bellis, Sergio Cerutti.   

Abstract

Every microarray experiment is affected by many possible sources of variability that may even corrupt biological evidence on analyzed sequences. We applied a "Taguchi method" strategy, based on the use of orthogonal arrays to optimize the deposition step of oligonucleotide sequences on glass slides. We chose three critical deposition parameters (humidity, surface, and buffer) at two levels each, in order to establish optimum settings. A L8 orthogonal array was used in order to monitor both the main effects and interactions on the deposition of a 25 mer oligonucleotide hybridized to its fluorescent-labeled complementary. Signal-background ratio and deposition homogeneity in terms of mean intensity and spot diameter were considered as significant outputs. An analysis of variance (ANOVA) was applied to raw data and to mean results for each slide and experimental run. Finally we calculated an overall evaluation coefficient to group together important outputs in one number. Environmental humidity and surface-buffer interaction were recognized as the most critical factors, for which a 50% humidity, associated to a chitosan-covered slide and a sodium phosphate + 25% dimethyl sulfoxide (DMSO) buffer gave best performances. Our results also suggested that Taguchi methods can be efficiently applied in optimization of microarray procedures.

Entities:  

Mesh:

Year:  2006        PMID: 16999241     DOI: 10.1109/tnb.2006.880851

Source DB:  PubMed          Journal:  IEEE Trans Nanobioscience        ISSN: 1536-1241            Impact factor:   2.935


  1 in total

1.  The Hidden Genomic and Transcriptomic Plasticity of Giant Marker Chromosomes in Cancer.

Authors:  Gemma Macchia; Marco Severgnini; Stefania Purgato; Doron Tolomeo; Hilen Casciaro; Ingrid Cifola; Alberto L'Abbate; Anna Loverro; Orazio Palumbo; Massimo Carella; Laurence Bianchini; Giovanni Perini; Gianluca De Bellis; Fredrik Mertens; Mariano Rocchi; Clelia Tiziana Storlazzi
Journal:  Genetics       Date:  2017-12-26       Impact factor: 4.562

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.