Sentence examples for expression is separate from inspiring English sources
Fluorescent co-labeling for Ang-1 and a-smooth muscle actin (aSMA; Fig. 2B,C) confirmed that the region of Ang-1 expression is separate from the central, smooth muscle-lined airways where aSMA expression is highest in early stages of development.
For each peripheral presentation of faces, emotional expression was separated first in the ipsilateral amygdala (Figure 6).
Treatment effects on gene expression were separated by Tukey's test and a p value of ≤ 0.05 was considered significant.
The two basal classes of tumour, characterised by high basal expression, are separated by p53 protein expression levels: high p53 (Basal p53 altered) or low p53 (Basal p53 normal).
In Fig. 7, a pairwise comparison of each platform's transcript expression was separated into subsets by the number of probes with the potential for cross-hybridization (0, 1, 2, 3 or 4 probes).
A total amount of 75 μg (for measurement of Bax and Bcl-2 levels) or 40 μg of total protein (to measure TNF- α expression) were separated electrophoretically and transferred to PVDF membranes.
To detect effects of individual miRNAs on protein expression, the often strong and potentially correlated effects of in -cis mRNA expression on protein expression were separated out by modeling protein expression as a joint function of in -cis mRNA and whole-genome miRNA expression.
Our study can therefore not exclude that some of the markers might perform much better if analyzed at the protein level since mRNA expression and protein expression are separated by several levels of regulation or that the markers not represented in the dataset used might perform better than those present.
Table 2 lists further in detail which pairs of expressions were separated in Figure 6.
Our results establish a potential mechanism connecting HPV positivity and expression of CDKN2A transcripts that is separate from tumor suppressor proteins p53 and pRb, and may involve direct epigenetic regulation of ARF transcription.
When tissue expression is detected using separate mouse and human arrays, comparing mouse and human gene expression requires complex and artefact-inducing normalization of the two datasets.
