Sentence examples for microarray studies done from inspiring English sources

The other two microarray studies done with CEU LCLs contained fewer IRF5 probes.

As with other microarray studies done on older mammalian muscle [ 13- 17], we have also found a disproportionate number of metabolic genes, such as those involved in lipid and carbohydrate metabolism, decrease in transcription levels with age.

However, our data are in line with those obtained from microarray studies done in MCF-7 breast cancer cells, where estrogens also have a pro-proliferatory effect: 70% of the regulated genes were suppressed [ 30].

In agreement with previous microarray studies done on skeletal muscle of mice, monkeys and humans, we also found that genes associated with metabolic functions, particularly energy pathways, were higher in young control animals (Table 1).

Likewise, global gene expression studies of RNA from cortex, cerebellum and hippocampus showed normal transcript levels for flanking genes Hip1, Nsun5, and Pom121 (for location see Fig 1A) while confirming ∼50% reduction of 8 9 intra-deletion transcripts in all three brain regions (Illumina microarray studies done in collaboration with J. Li and R. M. Myers, Stanford Human Genome Center).

There remains considerable debate in the literature as to why comparative microarray studies do not completely coincide with each other.

Except for complex light harvesting, proteins, microarray studies did not identify significant expression changes in genes of the other proteins, highlighting the importance of proteomic studies.

Likewise, lack of expression in microarray studies does not necessarily exclude a gene from being involved in models other than the one in which the studies were undertaken.

There remains considerable debate in the literature as to why comparative microarray studies do not completely coincide with each other [ 10].

In addition, many microarray studies do not match the MAQC platform quality, experimentation expertise and relative high signal-to-noise ratios of the samples compared, and would thus generate data of yet poorer reliability.

As noted previously, most microarray studies do not involve uniform temporal sampling of the state of a system where inferred relationships in the gene expression state space of genes can more easily be detected.