However, recent reports each utilizing RNA-seq to gauge X-linked gene expression relative to autosomal gene expression also arrived at diametrically opposed conclusions regarding X chromosome dosage compensation in mammals.
In the present context, in silico inflammation profiles have provided a tool for gauging the relative intensity of inflammatory gene expression in different mouse strains, and also provide an unbiased method for identifying populations that appear most likely to explain observed effects of HF diet on hepatic gene expression.
One method for gauging changes in cell physiology is global gene expression profiling, which is a sensitive way of assessing changes in cell state since most physiological responses are associated with changes in mRNA expression [63].
These mechanisms are hypothetical since the current studies cannot gauge what the relationship between blood and brain gene expression might be, particularly given the different genetic influences in blood compared to brain.
Our gene-expression studies revealed that expression of the catalytic subunit of another glucose-responsive fuel gauge, Prkaa2 (encoding AMPK-alpha2), is upregulated when Pask gene expression is compromised (Fig. 6).
Thus, gene expression profiling may be a more sensitive gauge of PCB153 toxicity than standard histology, and this hypothesis will be tested with low-dose PCB153 exposures in future experiments.
Results were similar between experiments, indicating that senescence is marked by changes in gene expression and that chronological age can be gauged accurately and repeatedly with this method.
Inflammation profiles are an in silico device that can be used to interpret gene expression patterns, and in the present context, are used to gauge intensity of inflammation in response to HF diet, and to infer which types of leukocytes best explain hepatic gene expression differences between HF-fed and control mice.
The use of hairy roots to validate promoter activity is a simple alternative for gauging promoter strength in stably-transformed plants, although the influence of copy number on gene expression should be considered [ 69].
Genome-wide gene expression profiles under metabolic inhibitory and control conditions [ 1] are used here to gauge the correlation of gene expression profiles.
Thus, tachyzoite gene expression was not confined to a specific developmental phenotype, and by itself was a poor gauge of a parasite's position within the intermediate life cycle.
