Sentence examples for use of microarray profiling from inspiring English sources

We attempted to characterize downstream target messenger RNAs of these miRNAs by the use of microarray profiling with gene ontology analyses and TargetScan predictions [18].

Bavik et al (2006) reported the use of microarray profiling to identify transcript alterations in prostate fibroblasts that associated with the induction of senescence (Table 1).

This review focuses on the current use and future potential of microarray profiling in breast cancer.

The breast tissue series used for microarray profiling consisted of 66 FFPE familial breast tumour samples, including 13 from BRCA1 mutation carriers, 10 from BRCA2 mutation carriers and 43 BRCAX tumours, 10 sporadic breast carcinomas, and 4 normal breast tissue samples.

However, comparing pathway signatures to one another and assessing their robustness in independent datasets can be hampered by the use of heterogeneous microarray profiling and analysis methods [ 14- 16].

The invariant set method [ 11] was used to normalize each group of microarray profiles to minimize the batch effect (variation across different microarray studies).

Hierarchical clustering of the strains was performed on the resulting distance matrix of all pair wise distances between strains and bootstrap analysis revealed seven statistically robust clusters of strains which were highly concordant with those obtained by hierarchical clustering of microarray profiles using the Pearson correlation metric (results not shown).

Moreover, the use of microarray expression profiling has aided us in capturing neuroadaptations involving complex changes in gene expression that may underlie the development of drug addiction [ 15, 16].

Currently, however, there is limited information available directly comparing these methods or examining the accuracy of microarray profiles generated using the individual methods.

Future work will include the use of microarray transcript profiling experiments to further focus the choice of target genes.

Our results demonstrate how the use of microarray expression profiling can help assign roles to previously uncharacterized genes and elucidate plant pathogenesis-response related mechanisms.