Sentence examples for microarray analyses comparing from inspiring English sources

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Data emanating from gene expression microarray analyses comparing Nrf2-disrupted and wild-type mouse embryonic fibroblasts (MEF) showed that expression of Notch1 and Notch-signaling-related genes were decreased in Nrf2-disrupted cells.

To identify candidates, we took advantage of our previous DNA microarray analyses comparing the gene expression patterns of Raw264.7 cells and derived osteoclasts [23].

As such...., microarray analyses comparing these "tumor" with "normal" samples are difficult to interpret, since gene expression in tumor epithelial cells was diluted by the inclusion of adjacent stromal cells in the analysis, leading to ambiguous results.

A final example comes from the lower urinary tract, for which microarray analyses comparing its different regions at embryonic days 13 and 14 and subsequent WISH analyses have been undertaken.

Microarray analyses comparing Wnt pathway members in malignant versus normal tissues of a murine transgenic cyclin E lung cancer model revealed deregulation of Wnt pathway components, including TNKS1 and TNKS2.

Microarray analyses comparing parental to resistant cells indicate that a number of key signaling pathways were altered in resistant cells including expression changes in genes involved in adhesion, apoptosis, and inflammation.

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Microarray analyses compared gene expression in tissues containing low levels of starch with tissues rapidly accumulating starch.

Comprehensive microarray analyses compared non-transgenic murine lung, transgenic murine normal lung, and transgenic murine lung cancer.

Microarray analyses compared gene expression profiles of serum starved and 4-OHT treated R26 MER/MER MEFs overexpressing either miR-92 or a control MSCV vector (n = 3).

The slightly lower gene dosage differences for the RT-qPCR and microarray analyses compared to the doubling time based estimates (cf. Figure 1 and 2 with Table 2) indicate an average replication speed that may exceed 1000 nt/s.

We found a significant difference in biogeography based on microarray analyses when comparing Sørensen similarity values for presence/absence of function and phylogeny (Student's t-test; p = 0.005).

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