Sentence examples for bacterial gene expression data from inspiring English sources
Additional file 3: Figure S1 contains a PCA of all bacterial gene expression data.
PCA of all bacterial gene expression data identified well defined groups of animals according to time of sampling.
Several examinations have pointed out the presence of regularities in bacterial gene expression data where local expression maxima are found at periodicities of around [ 32] or slightly above [ 33, 34] 100 kb.
Additionally, when comparing the transcriptional profile of B. pseudomallei before and after treatment with saponin and differential centrifugation, we found that these treatments caused no significant changes in bacterial gene expression (data not shown), consistent with studies on other bacterial pathogens [ 24, 59].
The highest observed expression for both genes occurred at 6 h p.i. and then expression of apxIIA and comEA continued to decrease until 48 h p.i. PCA of all bacterial gene expression data discriminated between samples belonging to different time groups.
We note that transcriptomic and RT-PCR data represent the average bacterial gene expression occurring in a given environment as they reflect the entire population of intracellular Salmonella.
The reverse engineering of GRN from gene expression data has been used to understand molecular interactions in both bacterial and lower eukaryotic organisms, as well as in more complex mammalian systems.
Principal component analysis identified extensive clustering of the transcriptome data among all samples at time 0. In striking contrast, the whole bacterial gene expression in the donor A blood sample was significantly different from the gene expression in all other blood samples studied, both after 30 and 90 min of incubation.
Task: provide a summary for gene expression data levels for samples treated across same condition, e.g. treated with bacterial toxins.
The data suggest that the ions and oxidative species generated by electrochemical reactions have significant influence on bacterial gene expression and viability.
