Sentence examples for microarray analysis enables from inspiring English sources

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Single nucleotide polymorphism (SNP) microarray analysis enables precise high-throughput detection of genomic copy number alterations, gains and losses in the genome contributing to carcinogenesis [ 13] with gene expression varying consistently with DNA copy number changes [ 14, 15].

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Microarray analysis enabled further analysis of the individual salivary microbiota.

Genome-wide single nucleotide polymorphism microarray analysis enabled us to define a region of homozygosity by descent on chromosome 17q25.

Moreover, advances in genetic testing, notably chromosomal microarray analysis, enabled the identification of de novo Copy Number Variations (CNV) in about 30% of affected children.

On the other hand microarray analysis enabled us to detect the presence of GCs in F1 GDR samples, revealed by the redundant overexpressed genes in F1 GDR and in F1 GCs compared to Ov GDR.

Protein microarray analysis enabled us to observe robust antibody responses to GroEL in all infected Chlorocebus aethiops monkeys, allowing us to connect a pathogen marker detectable in tissue with host responses readily detected in serum.

That is, by using microarray analysis that enables us to simultaneously and globally examine the complete transcriptome during cellular responses, we might reinforce known relationships between genes with previously identified functions, and also reveal new target genes that give us more insight into P. aeruginosa-host interactions.

By using microarray analysis that enables us to simultaneously and globally examine the complete transcriptome during cellular responses, we have revealed novel information regarding the mode of action of OPP on Staphylococcus: OPP inhibits anabolism of many amino acids and highly downregulates the genes that encode the enzymes involved in the DAP pathway.

Specific differences discovered in a comparative microarray and glucosinolate profiling analysis enables the functional attribution of Brassica rapa ssp.

In addition, microarray analysis may enable to predict which patients are likely to respond to specific chemotherapeutic agents or combinations, thus creating individualized treatment regimes.

In particular, qPCR is commonly used to confirm results obtained using microarray analysis, methods enabling the detection and quantitation of multiple RNAs such as Nanostring (Geiss et al. 2008) and Luminex (Peck et al. 2006), or RNA-seq, as well as to evaluate the knockdown efficiency of RNA interference (RNAi) reagents.

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