Sentence examples for microarray analysis roma from inspiring English sources

The Representational Oligonucleotide Microarray Analysis (ROMA) has been developed at Cold Spring Harbor Laboratory [ 20].

They investigated the DNA copy number alterations by using representational oligonucleotide microarray analysis (ROMA) [ 18], which allowed them to detect many small and larger deletions.

Recently, Zender et al. identified that eIF-5A2 is amplified in human cancer using representational oligonucleotide microarray analysis (ROMA), and is required for proliferation of XPO4-deficient tumor cells and promotes hepatocellular carcinoma in mice [ 11].

Further CNP regions are identified using array CGH in the HapMap populations (269 individuals) (Locke et al., 2006) and using representational oligonucleotide microarray analysis (ROMA) in a population of 20 normal individuals (Sebat et al., 2004).

The Affymetrix GenomeWide SNP 5.0 whole genome genotyping assay (as well as the newer SNP 6.0 array and older generations of this platform, namely the 10 K - 500 K arrays) all employ a complexity reduction procedure similar to that first described for representational oligonucleotide microarray analysis (ROMA) [ 20] in order to increase the signal-to-noise ratio.

Combining representational oligonucleotide microarray analysis (ROMA) of tumor DNA with quantitative multigene fluorescence in situ hybridization (QM-FISH) of individual tumor cells provides the opportunity to detect and validate a wide range of gene amplifications, deletions, duplications and rearrangements directly in frozen tumor samples.

An alternative method used for the characterization of regulatory networks of TFs and sigma factors is run-off transcription-microarray analysis (ROMA) (65 67).

GFP: green fluorescent protein; HBV: hepatitis B virus; HCC: hepatocellular carcinoma; mRNA: messenger ribonucleic acid; RNAi: RNA interference; ROMA: representational oligonucleotide microarray analysis; shRNA: short hairpin RNA; TERT: telomerase reverse transcriptase; TGF-β: transforming growth factor beta; Xpo4: exportin 4. The authors declare that they have no competing interests.

For bees, microarray analysis of differences between healthy and afflicted bees may reveal the causes and provide insights for developing a cure.

Microarray analysis is a powerful tool for examining differences among a very large number of genes rapidly and efficiently; it's the basis for new diagnostic tools, for example, for clinical evaluation of many forms of cancer.

Finally, at an appointment in March, the geneticist told them that a technology known as DNA microarray analysis had become available and that it could test all known chromosomal disorders at once.