Sentence examples for microarray assay to from inspiring English sources

We developed a microarray assay to streamline identification of microorganisms in the field, focusing on the harmful algal bloom diatom Pseudo-nitzschia.

The aim of this study was to develop a DNA microarray assay to detect 8 species of pathogenic bacteria, i.e., Vibrio harveyi, V. alginolyticus, V. parahaemolyticus, V. anguillarum, V. cholerae, Nocardia seriolae, Aeromonas hydrophila, and Streptococcus iniae, in cultured aquatic animals.

Therefore, we utilized an in vivo nickel enrichment DNA microarray assay to identify DNA binding based on methods such as nickel agarose-based chromatin enrichment [54].

After exposure, cells were analyzed using a microarray assay to probe for all known human miRNA species identified in the Sanger miRBase (Fig. 1).

Using a microarray assay to assess expression of 66 inflammation genes in the liver of control and transgenic mice, we found that the expression of 21 inflammation genes was decreased, while the expression of other 45 inflammation genes was unchanged in C/EBPβ-Ala217 mice after CCl4 induced liver injury, when compared to C/EBPβ+/+ animals treated with CCl4 (Table 1).

In this study, we used FA as a rice-model autotoxin and used microarray assay to assess alterations in rice root gene expression induced by the autotoxin.

We previously used DNA microarray assays to develop expression signatures, which have the capacity to identify subtle distinctions in biological states and can be used to connect in vitro and in vivo states.

On the other hand, we used 6 adult mice and 14 neonate mice from at 4 different litters, which did not include the samples used for the microarray assays, to perform miRNA expression validation assay.

Though not described further here, the BFRM statistical model analysis used by the SFPA also addresses issues of gene-sample-study specific effects within the analysis and is able to correct enough of the idiosyncracies and bias inherent in microarray assays to retain predictive accuracy [19], [31].

To identify a lupus disease-associated miRNA expression pattern in splenocytes, we performed miRNA microarray assays to compare the miRNA expression profiles in splenocytes from three different strains of genetically lupus-prone mice including MRL-lpr, B6-lpr, and NZB/W mice and their respective control mice.

We compared the ratio of Cy5/Cy3 intensity of each clone obtained from the regular cDNA microarray assays to that obtained from the SSH/microarray assays.