Sentence examples for by microarray in the from inspiring English sources

4) Genes thought to mark a specific compartment were also expressed in other regions, e.g. Cadherin 16 (Cdh16), although previously described as a marker of collecting duct [31], was also expressed by microarray in the EPT.

Six yir genes (PY05826, PY03177, PY04021, PY01996, PY02298, PY03045), detected at different levels, or undetected (PY03045), by microarray in the starter population, in ring/trophozoite- or in schizont-stage parasites of the clones, were selected for more detailed analysis by qRT-PCR.

Later we validated a few of the miRNAs (miRNA 17-92) identified by microarray in the RB patient serum samples (n = 20) by using qRT-PCR.

Most of the genes within amplicons or previously identified as being overexpressed in gastric cancer exhibited a prominent (>2-fold) up-regulation by microarray in the cancer samples compared to normal controls.

We detected reduction of ANE markers Six3 and Hesx1 by microarray in the Foxa2 mutant pool, and using Q-PCR further validated strong reduction of Hesx1 (Additional File 1).

The composite target gene expression by microarray in the normal mucosa was significantly reduced following exposure to resveratrol/GP when all treatment groups were combined (p = 0.03) though the most significant reduction in Wnt target gene expression was seen at the lower dose of GP (GP80, p < 0.001).

We next examined the separate transcriptomes of the tumour cells (human) and stromal cells (murine) by microarrays in the five treated and five untreated A375 xenografts.

To determine the prognostic value of the genes of the clusters identified by network analysis, we used the expression values obtained by microarrays in the two groups of MI patients of the test cohort.

In this respect, the global approach in our study to assess the expression data in the manifold of metastatic tumors, all in the screening phase by microarrays, in the validation phase by RT-qPCR and response validation by target protein expressions and their miRNA dependent regulation, as mentioned above, proved to be advantageous.

When the cellular response genes are captured by microarrays in the form of "gene signatures", these in vitro derived gene expression signatures are capable of quantitatively assessing and classifying tumors based on their environmental profile analogous to oncogenic pathway activation and other phenotypes [ 24, 40- 45].

Pja1 was significant by microarray in liver but by qPCR the differences did not reach significance in liver or kidney, the two tissues where the expression levels allowed the determination of reliable standard curves, although the FC estimates obtained were similar.