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Wyszukujesz frazę "transcriptome" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
RNA-Seq-based analysis of differential gene expression associated with hepatitis C virus infection in a cell culture
Autorzy:
Hojka-Osinska, Anna
Budzko, Lucyna
Zmienko, Agnieszka
Rybarczyk, Agnieszka
Maillard, Patrick
Budkowska, Agata
Figlerowicz, Marek
Jackowiak, Paulina
Powiązania:
https://bibliotekanauki.pl/articles/1038741.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
RNA-Seq
HCV
transcriptome
Opis:
Hepatitis C virus (HCV) infection is one of the major causes of chronic liver diseases. Unfortunately, the mechanisms of HCV infection-induced liver injury and host-virus interactions are still not well recognized. To better understand these processes we determined the changes in the host gene expression that occur during HCV infection of Huh-7.5 cells. As a result, we identified genes that may contribute to the immune and metabolic cellular responses to infection. Pathway enrichment analysis indicated that HCV induced an increased expression of genes involved in mitogen-activated protein kinases signaling, adipocytokine signaling, cell cycle and nitrogen metabolism. In addition, the enrichment analyses of processes and molecular functions revealed that the up-regulated genes were mainly implicated in the negative regulation of phosphorylation. Construction of the pathway-gene-process network enabled exploration of a much more complex landscape of molecular interactions. Consequently, several essential processes altered by HCV infection were identified: negative regulation of cell cycle, response to endoplasmic reticulum stress, response to reactive oxygen species, toll-like receptor signaling and pattern recognition receptor signaling. The analyses of genes whose expression was decreased upon HCV infection showed that the latter were engaged in the metabolism of lipids and amino acids. Moreover, we observed disturbance in the cellular antiviral defense. Altogether, our results demonstrated that HCV infection elicits host response that includes a very wide range of cellular mechanisms. Our findings significantly broaden the understanding of complex processes that accompany HCV infection. Consequently, they may be used for developing new host-oriented therapeutic strategies.
Źródło:
Acta Biochimica Polonica; 2016, 63, 4; 789-798
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
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
    Wyświetlanie 1-2 z 2

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