Abstract:
:Two-color DNA microarrays are commonly used for the analysis of global gene expression. They provide information on relative abundance of thousands of mRNAs. However, the generated data need to be normalized to minimize systematic variations so that biologically significant differences can be more easily identified. A large number of normalization procedures have been proposed and many softwares for microarray data analysis are available. Here, we have applied two normalization methods (median and loess) from two packages of microarray data analysis softwares. They were examined using a sample data set. We found that the number of genes identified as differentially expressed varied significantly depending on the method applied. The obtained results, i.e. lists of differentially expressed genes, were consistent only when we used median normalization methods. Loess normalization implemented in the two software packages provided less coherent and for some probes even contradictory results. In general, our results provide an additional piece of evidence that the normalization method can profoundly influence final results of DNA microarray-based analysis. The impact of the normalization method depends greatly on the algorithm employed. Consequently, the normalization procedure must be carefully considered and optimized for each individual data set.
journal_name
Acta Biochim Poljournal_title
Acta biochimica Polonicaauthors
Schmidt MT,Handschuh L,Zyprych J,Szabelska A,Olejnik-Schmidt AK,Siatkowski I,Figlerowicz Msubject
Has Abstractpub_date
2011-01-01 00:00:00pages
573-80issue
4eissn
0001-527Xissn
1734-154Xpii
201114943journal_volume
58pub_type
杂志文章abstract::Growth arrest and DNA damage-inducible (GADD) 45 proteins are regulators of cell death and survival. The proinflammatory cytokine IL-1β strongly increases the level of the transcript encoding GADD45α in rat insulin-producing INS-1E cells. The activation of Gadd45α gene is clearly dependent on JNK and NF-κB activation ...
journal_title:Acta biochimica Polonica
pub_type: 杂志文章
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journal_title:Acta biochimica Polonica
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journal_title:Acta biochimica Polonica
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journal_title:Acta biochimica Polonica
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journal_title:Acta biochimica Polonica
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journal_title:Acta biochimica Polonica
pub_type: 杂志文章,评审
doi:024903597
更新日期:2002-01-01 00:00:00
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journal_title:Acta biochimica Polonica
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journal_title:Acta biochimica Polonica
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doi:
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更新日期:2006-01-01 00:00:00
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journal_title:Acta biochimica Polonica
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journal_title:Acta biochimica Polonica
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