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These sequences were more likely to represent significant biological differences because their expression changes, though varied from animal to animal, were in the same direction.
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These genes are called the TF knockout targets because their expressions change significantly due to the knockout of the TF-encoding gene under study.
Nineteen RGHs might be involved in cotton Verticillium wilt resistance because their expression levels were significantly changed after inoculation.
We excluded from the analysis probes that were non informative either because their expression level was below detection or because their expression level did not change (>2 folds) along the experiments.
This result cannot be obtained with microarray analysis because the number of genes whose expression changes at equivalent thresholds are reliably measured is too small at an equivalent threshold (see Supplementary Figure S7 online).
Also, because gene expression changes precede frank toxicity, it may be possible to use gene expression data as a means of predicting latent health effects.
Firstly, this generic response was not identified in the Abbott et al. [ 24] analysis because the gene expression changes for these reactions did not meet their criteria for differentially expressed genes (see Additional File 1).
This is useful because the gene expression changes that are in common, against this background of expression differences, are more likely to be relevant to the shared changes in physiology and lipid composition.
This difference in smoking status is not driving the expression of genes selected for this analysis, because the gene expression changes are observed regardless of smoking status.
It is possible that the utility of these gene expression data, in the context of molecular markers, will be in the application of therapeutic WT intervention because expression changes of these 18 genes seem to be in the earliest events in cell transformation.
Without a database to compare chemicals with unknown MOAs, the risk assessor will not be able to interpret the significance of the gene expression responses within the context of characterizing ecological risk, because many gene expression changes are not anchored to adverse effect and risk assessment requires knowledge of the MOA and dose response relationship.
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CEO of Professional Science Editing for Scientists @ prosciediting.com