Sentence examples for microarray analysis studies from inspiring English sources

Taken together, the results presented here clearly show that in microarray analysis studies of whole RA synovium, it is critical to control for the presence of lymphocytes aggregates, as they may represent an important confounding factor.

Results from different microarray analysis studies all indicate an upregulation of SFRP1 and FRZB in fibrotic lung disease (IPF).

For example, using microarray analysis, studies have identified some genes related to MDV infection by using different chicken lines and MDV strains [ 24, 31- 34].

Lymphocytes: a small number of microarray analysis studies using immortalized lymphocytes derived from patients with SCZD have been reported; however, whether immortalized lymphocytes are a relevant alternative to neuronal tissue remains controversial (Matigian et al., 2010).

Furthermore, the present findings consist with those observed by previous microarray analysis studies of HTLV-1-infected T cells, which demonstrated that HTLV-1 infection upregulated JNK activation kinase 1, GADD45 and the inflammatory cytokine, IL1β, which are involved in MAPK stress-response pathways [ 23].

As well, other differential expressed genes identified in this microarray analysis study were not confirmed as significantly different in RT-qPCR validations [ 8].

In agreement with this, a microarray analysis study on bovine alveolar macrophages infected with a virulent and an attenuated isogenic M. bovis strains has detected small differences in gene expression between both strains and has only identified IL-8 gene as significantly overexpressed in macrophages infected with the virulent strain [ 8].

LLAI carried out writing of the manuscript and experimental procedures including cytotoxicity assays, apoptosis assays, microarray analysis, combination studies, Western blot analysis and in vivo studies.

For the 1960 ORFs (open reading frames) in the S. mutans genome, 63% of them were assigned functions initially through bioinformatics studies and more ORFs, or their orthologs, have been characterized by microarray analysis, phenotype studies and so on [4] [6].

With the use of microarray analysis, extensive studies have been focused on identifying morphine-induced changes in gene expression [ 6– 19].

The leukemia dataset 12 has frequently been used in previous microarray data analysis studies.