Sentence examples for between the expression changes from inspiring English sources

Similarly, a positive correlation was observed between the expression changes of maize protein induced by hormone-containing medium and the Arabidopsis genes induced for 1 and 3 h by auxin.

The complexity of the regulatory network (i.e., many miRNAs affecting many target transcripts) makes it difficult to extract individual miRNA/target transcript interactions likely obscuring specific inverse correlations between the expression changes of miRNAs and their targets.

There is a correlation between the expression changes in selective genes from the dark, 30 min to 1 h blue light treatment and the dynamic HFR1 protein level with the strongest HFR1 protein accumulation detected at 1 h of blue light (Figure 5B).

These results indicated that there was a close correlation between the expression changes (fold difference) measured by RNA-Seq and those by qRT-PCR (Table  4).

In fact, there is a good correlation (R = 0.68) between the expression changes of the genes down-regulated by incubation of SDP8 cells with doxycycline for 24 h and the set of Aft1-dependent iron transport genes [ 26] (Fig.  4a).

In addition, a strong correlation was observed between the expression changes for all 12,230 genes in females ovipositing on fresh hosts (relative to resting females) and females ovipositing on parasitized hosts (relative to resting females) (R = 0.85, P < 0.001).

The epistatic effect of two GSTFs X and Y on the expression of a gene i was measured as the deviation between the expression change observed in the double mutant M xΔyΔi and the expression change expected given the single mutants M xΔi  +  M yΔi (ε txpn, XYi  = | M xΔyΔi  − (M xΔi  +  M yΔi )|).

The effect of a genetic interaction between two GSTFs X and Y on a gene i can be measured as the deviation between the expression change observed in the double mutant M xΔyΔi and the expected expression change, given each single mutant M xΔi  + M yΔi (ε txpn,Xyi  = |M xΔyΔI − (M xΔi  + M yΔi )|).

In this study, the p-value, which states the significance of the linear dependency between the expression change for each inbred line and the HSI of the respective inbred, was not adjusted for multiple testing to not lower even more the low power to detect heat tolerance genes.

The different abilities of the two types of demethylation to successfully open chromatin might explain the different correlations between demethylation and the expression changes (Fig. 3e).

The expression differences between high/low stages, the expression changes after transfection, S-phase fraction and invasion assay were analyzed using independent samples t-test.