999 resultados para Filling factor


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Cyclin D3 is found to play a crucial role not only in progression through the G1 phase as a regulatory subunit of cyclin-dependent kinase 4 (CDK 4) and CDK 6, but also in many other aspects such as cell cycle, cell differentiation, transcriptional regulation and apoptosis. In this work, we screened a human fetal liver cDNA library using human cyclin D3 as bait and identified human eukaryotic initiation factor 3 p28 protein (eIF3k) as a partner of cyclin D3. The association of cyclin D3 with eIF3k was further confirmed by in vitro binding assay, in vivo coimmunoprecipitation, and confocal microscopic analysis. We found that cyclin D3 specifically interacted with eIF3k through its C-terminal domain. Immunofluorescence experiments showed that eIF3k distributed both in nucleus and cytoplasm and colocalized with cyclin D3. In addition, the cellular translation activity in HeLa cells was upregulated by cyclin D3 overexpression and the mRNA levels are constant. These data provide a new clue to our understanding of the cellular function of cyclin D3.

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The impact of the alternative sigma factor sigma B (SigB) on pathogenesis of Staphylococcus aureus is not conclusively clarified. In this study, a central venous catheter (CVC) related model of multiorgan infection was used to investigate the role of SigB for the pathogenesis of S. aureus infections and biofilm formation in vivo. Analysis of two SigB-positive wild-type strains and their isogenic mutants revealed uniformly that the wild-type was significantly more virulent than the SigB-deficient mutant. The observed difference in virulence was apparently not linked to the capability of the strains to form biofilms in vivo since wild-type and mutant strains were able to produce biofilm layers inside of the catheter. The data strongly indicate that the alternative sigma factor SigB plays a role in CVC-associated infections caused by S. aureus.

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This study aimed to examine the structure of the statistics anxiety rating scale. Responses from 650 undergraduate psychology students throughout the UK were collected through an on-line study. Based on previous research three different models were specified and estimated using confirmatory factor analysis. Fit indices were used to determine if the model fitted the data and a likelihood ratio difference test was used to determine the best fitting model. The original six factor model was the best explanation of the data. All six subscales were intercorrelated and internally consistent. It was concluded that the statistics anxiety rating scale was found to measure the six subscales it was designed to assess in a UK population.