Sentence examples for microarray techniques show from inspiring English sources

Exact(1)

Microarray techniques show promise in this regard, as their high throughput nature can potentially detect a range of viruses using a single test.

Similar(59)

Further confirmation of that observation comes from recent studies made with the use of the cDNA microarray technique, showing that breast cancers may vary considerably in their molecular profile [ 24, 25].

Expression analysis done by tissue microarray technique shows that if the expression of HBsAg, HBcAg, p21 and Rb proteins in HCCs is downregulated, the possibilities of HCC development will increases as these proteins are also tumor suppressors [ 10].

Radiological techniques show anatomical changes.

The pattern and magnitude of expression for each validation gene (LGALS3, galectin 3; microfibrillarbrillassociatedted protein 5; protein protein kinase, DNA-activated, catalytic polypeptide 1) compared to house keeping controls was identical using PCR and microarray techniques (data not shown).

Both techniques showed morbidity.

Using the microarray technique, we have shown that Sgk1 mRNA expression is consistently altered in the medial prefrontal cortex of chronically stressed mice.

Other investigators have shown similar sensitivities with microarray techniques in detecting these pathogens from middle ear fluid and throat swab samples compared with those of standard culture techniques.

These genes were identified by stepwise subtraction and cDNA microarray techniques, which permitted us to comprehensively isolate the genes that show augmented mRNA expression in the PBMCs of vasculitis patients when compared with normal volunteers.

In general, most microarray studies with single-gene validation demonstrate a correlation with microarray techniques (Rickman et al, 2008).

A recent study where a large fraction of mutations in pancreatic cancer were shown to be associated with a core set of signaling pathways base on microarray techniques could be a good candidate for proteogenomics-based network analysis [ 117].

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