Sentence examples for microarray study where from inspiring English sources

We are largely concerned with the phase that follows a microarray study, where a candidate gene is selected for manipulation in a system that is considered to be simpler than the in vivo mammalian tissue and thus the methods discussed largely apply to this cell biology phase.

This is consistent with findings in the present microarray study, where 14 genes that were up-regulated by PAR1 [40] were also up-regulated by PAR2.

This is strongly supported by the data we obtained in an in vitro microarray study, where several transcripts encoding for proteins required for angiogenesis are induced upon low-dose IR delivery (data not shown).

Tissue-specific alternative spliced sites were obtained from the microarray study where the expression of alternative splicing events in 48 different human cells was profiled [ 24].

A subset of the patient samples (n = 136) were also included in a previous microarray study, where DNA methylation of BMP4, FGF4, and C20orf55 was identified as biomarkers for outcome prediction [ 14].

More recent studies exploring the number of transcripts in cells have not been performed, except for a microarray study where spike-in controls were used to define a standard curve, which related signal intensity to the absolute transcript numbers [ 9].

Our motivation comes from microarray studies, where the rows of X record expression levels for m different genes, often highly correlated, while the columns represent n individual microarrays, presumably obtained independently.

These findings are comparable to prior microarray studies where the majority of miRNAs decline in abundance over the lifespan of C. elegans [10].

This value could appear to be rather low, but it has to be compared with other heterologous (Rhesus monkey with human microarrays) or homologous (human with human microarray) studies where only 30 35% and 30 40% of genes were detected ([18]; JDV, personal communication).

This has been exploited in recent microarray studies, where expression profiles of normal fed and starved larvae were compared: Indeed, starvation led to a strong downregulation of genes involved in mitochondrial translation, respiration, TCA cycle, fatty acid oxidation and mitochondrial transport [7], [8].

Another example could be from microarray studies, where experimentalists calculate the expression profiles of genes at distinct time steps.