Sentence examples for microarray technology indicates from inspiring English sources

Our approach in analyzing the fold change in the mRNA levels of many deregulated genes using microarray technology indicates that with careful and systematic analysis of the data, it is possible to reliably delineate the processes involved in injury and recovery and to establish hypotheses for further analysis and intervention strategies.

Halfo et al. [ 31] found a 93% concordance (k = 0.82) between the HC-II assay and microarray technology, indicating that microarrays are highly sensitive and specific in the detection of HPV genotypes.

Transcript levels for CCR7 were the lowest ones among those for the 10 selected genes by using RT-qPCR, and very low signal intensities were measured for CCR7 by using the microarray technology; this indicates that differences in gene expression are more difficult to quantify by using microarray technology for low transcript levels.

Many of the microarray technology developers indicated that the test arrays might include multiple probes or probe sets in order to identify the best performing sequences.

These results indicate that microarray technology can be employed in a diagnostic environment and moreover, results may be obtained in a similar time-scale to a standard PCR reaction, but with the advantage that no a priori knowledge of the infectious agent is required for detection.

The present data indicate that microarray technology is suitable for systematically identifying those genes that underlie the attenuated inflammatory response in sepsis.

Three homologous genes (pathogenesis-related protein, alcohol dehydrogenase and glutathione S-transferase) were identified in the classes cell rescue, defence, death, and ageing of Arabidopsis, thus indicating the reliability of microarray technology for detection of pathogenesis-related genes.

Different patterns of gene expression were observed in peripheral blood cells one day after each experimental cerebral condition indicating the potential for applying genomic microarray technology to identifying peripheral markers of neurological disease.

Using tissue microarray technology, we have shown that Pokemon was overexpressed in 86.8% of breast cancer tissue, but not in normal beast tissue, indicating its tumor-specific expression.

Furthermore, nonspecific side effects can be detected with microarray technology.

No single microarray technology can provide all the answers.