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Wyszukujesz frazę "gene expression data" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Impact of DNA microarray data transformation on gene expression analysis - comparison of two normalization methods
Autorzy:
Schmidt, Marcin
Handschuh, Luiza
Zyprych, Joanna
Szabelska, Alicja
Olejnik-Schmidt, Agnieszka
Siatkowski, Idzi
Figlerowicz, Marek
Powiązania:
https://bibliotekanauki.pl/articles/1039855.pdf
Data publikacji:
2011
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
microarray
data normalization
enterocyte
transcriptome analysis
probiotic
adhesion
gene expression profiling
Opis:
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.
Źródło:
Acta Biochimica Polonica; 2011, 58, 4; 573-580
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reference genes for gene expression studies on non-small cell lung cancer
Autorzy:
Gresner, Peter
Gromadzinska, Jolanta
Wasowicz, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/1040589.pdf
Data publikacji:
2009
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
non-small cell lung cancer
reference genes
data normalization
real-time PCR
gene expression
Opis:
Study Objective: The aim of this study was to test a panel of 6 reference genes in order to identify and validate the most suitable reference genes for expression studies in paired healthy and non-small cell lung cancer tissues. Method: Quantitative real-time PCR followed by the NormFinder- and geNorm-based analysis was employed. The study involved 21 non-small cell lung cancer patients. Results: The analysis of experimental data revealed HPRT1 as the most stable gene followed by RPLP0 and ESD. In contrast, GAPDH was found to be the least stable gene. HPRT1 together with ESD was revealed as the pair of genes introducing the least systematic error into data normalization. Validation by bootstrap random sampling technique and by normalizing exemplary gene expression data confirmed the results. Conclusion: Although HPRT1 and ESD may by recommended for data normalization in gene expression studies on non-small cell lung cancer, the suitability of selected reference genes must be unconditionally validated prior to each study.
Źródło:
Acta Biochimica Polonica; 2009, 56, 2; 307-316
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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