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In accordance, our previously published immune response-related cluster (G24) displayed a similar correlation (−0.54, Pearson correlation of mean expression) with the 2nd PC.
Data are given as mean expression (with the SD) for each gene per group (TEL/AML1 and non TEL/AML1).
On the other hand, Bagh et al. (2008), analyzing expression driven by plasmids in E.coli, observed that the SD of expression scales with mean expression, with most variability attributable to cell size.
Indeed, as they are not induced in the same manner by copper (less copper is needed to get the same mean expression with the industrial variant), we would have had differences of mean expression levels between the variants by using copper as a selective agent, making interpretations about the impact of noise impossible.
Our study of eight promoter variant pairs at the genomic level reveals that higher mean expression with one variant was not always associated with lower noise while this correlation has been reported many times (Newman et al. 2006; Hornung et al. 2012; Carey et al. 2013).
Similar(55)
Secondly, on the material for D. melanogaster, for which detailed gene expression data are available, we demonstrated that the most asymmetric duplications tend to be observed in gene families with the highest mean expression and with the lowest CV of expression across 26 tissues sampled in two developmental stages [ 39], i.e., with the highest ubiquity of expression.
Mean expression values with S.E.M.s were determined from four transformants as described in Figure 3B.
Interestingly, individual ioc3 or isw1 mutants also lowered mean expression but with less magnitude.
The six samples from each treatment were used to generate mean expression levels with associated variances.
Then how does decrease in mean expression correlate with increase in coexpression?
In the case of IKK α immunoreactivity, although mean expression increased with mean COX-2 expression, a linear correlation was not evident.
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