Sentence examples for microarray methodology we from inspiring English sources

Using conventional dye-swap microarray methodology, we compared transcript abundance in a sample of >7,000 genes between four mutation accumulation (MA) lines of the nematode Caenorhabditis elegans and the common (unmutated) ancestor.

Using this optimized experimental protocol in combination with our microarray analysis methodology we find 49 differentially expressed genes between the motor neurons and the interneurons that reflect the functional differences between these two cell populations in generating and transmitting the motor output in the rodent spinal cord.

In our current study, we employed a microarray methodology to search for potential candidate genes that may discriminate aggressive cases of CLL according to the sex of the patient.

We use high-resolution microarray methodology [ 37] to comparatively study gene expression for ~42,000 genes in diploid and allotetraploid cotton species at an early stage of fiber development.

In addition, the large number of differentially expressed genes we observed may reflect the high sensitivity and repeatability of the microarray methodology employed, where small technical variances generated high power for the detection of differential expression.

For the first time the microarray methodology has been applied for the simultaneous identification of different mixed population of spoilage yeast and bacteria directly isolated from wine, thus indicating the practicability of oligonucleotide microarrays as a contamination control in wine industry.

The resolution of this microarray methodology is ∼15% in exon inclusion differences [15].

Using this approach not only can mRNA levels be validated, but also differences in microarray methodology, normalization and data processing methods.

The lack of agreement between these studies is probably due to differences in the animal models (parenteral vs. enteral iron loading; mouse strains) and in the microarray methodology.

The sensitivity of the microarray methodology with respect to the known pathogenic mutations was defined as the proportion of true positives detected by the microarray, while the specificity was defined as the proportion of true negatives detected.

These observations are supported by an earlier report that, using microarray methodology, also identified p53 BP2 (ASPP2) downregulation in breast cancer [ 33].