Sentence examples for by tissue expression microarray from inspiring English sources

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Tissue expression profiles were generated using GeneAtlas, a gene expression database (http://symatlas.gnf.org/SymAtlas/) that contains gene expression patterns on a genome scale, as determined by tissue expression microarray on 79 human and 61 mouse tissues[14].

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By screening and verifying their tissue expression patterns with microarray and real-time PCR analysis, six of 261 E3 ligases, including cardiac-specific Rnf207 and cardiac- and muscle-enriched Fbxo32/atrogin-1, Trim63/MuRF1, Trim63/MuRF1, Kbtbd10/KLHL41, Asb11 and Asb2 in mouse heart, were selected for the present study.

Tissue-specific subnetworks were constructed by using gene expression microarray data GSE1133 and GPL96.

Figure S1, S2, S3 shows that those transcripts are predominantly expressed in placental tissues as compared with the many other human tissues assessed by gene expression microarrays.

During the process of IBD, the expressions of leukocyte/endothelial cell adhesion molecules such as intercellular adhesion molecule 1 (ICand) and vascular cell adhesion molecule 1 VCAM1) were upregulated, which recruit leukocyte migration into intestinal tissue, as shown by the Affymetrix gene expression microarray study [ 34].

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].

In this retrospective study, the protein expressions of Cx43, VEGF, and CD105 in HCC tissue with different serum AFP levels were examined by tissue microarray and immunohistochemical staining; expression of Cx43 mRNA was examined by RT-PCR to explore the relationship between Cx43 and early recurrence, metastasis, and prognosis in patients with HCC after radical resection.

Breast cancer tissue from 46 patients was analyzed by HR MAS MRS followed by gene expression microarrays.

Models of genetic regulatory network (GRN) are regularly being inferred from limited time series data on average tissue expression as measured by technologies such as microarray.

The differential expression for these genes was further substantiated by tissue microarray FISH.

Accordingly, the expression of these proteins in ovarian tissues was detected by tissue microarray and immunohistochemistry.

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