Sentence examples for microarray experiments show from inspiring English sources

The large scale analysis of gene expression provided by our microarray experiments show that FGF signaling is required for the normal expression of a large number of organizer genes, including goosecoid, chordin, noggin, dkk1 and Frzb, and a number of genes, such as Sip1 and FoxD5, which are expressed in the dorsal neuroectoderm (See Table S14).

Our yeast microarray experiments show a suitable dynamic range, good reproducibility and sensitivity.

Data from microarray experiments show that GRCD1 is in fact upregulated in marginal flowers compared to disc flowers [ 43].

In Arabidopsis, microarray experiments show modest increases (2-fold) in AtSUC2 expression in response to drought, abscisic acid (a drought induced hormone), or turgor stimulation [ 18].

Other microarray experiments show this gene is highly expressed in siliques and also present in isolated seeds http://www.genevestigator.ethz.ch, but no function has been reported.

Microarray experiments show that N. gonorrhoeae FNR controls a much smaller regulon than its E. coli counterpart; it activates transcription of aniA and thirteen other genes, and represses transcription of six genes that include dnrN and norB.

Preliminary microarray experiments showed that this library contains sufficient chemical diversity to identify lead peptides with measurable target binding affinity and specificity (CWD and SAJ unpublished data).

Principal component analysis (PCA) on a large number of heterogeneous microarray experiments showed that a maximum of 50 statistically independent transcriptional system regulators (TSRs) can explain the vast majority of biological variance in gene expression in human as well as in mouse.

The microarray experiments showed that expression of the hpdA gene was reduced in the xprGΔ1 mutant.

Tissue microarray experiments showed that the intensity of RCA-I staining is positively correlated with the TNM grades.

Statistical analysis of the correlation between protein and microarray experiments shows a consistent trend of correlation among the datasets.