Sentence examples for expression array technologies from inspiring English sources

Globally, these findings underscore the efficiency and accuracy of ChIP-Seq and expression array technologies to define a Pax8-dependent gene network, which allowed us to identify biological functions of Pax8 in thyroid cells.

They described the relationship between external benzene exposure and urinary metabolites with early biological end points, including peripheral blood cell counts, chromosomal aberrations, and more recently, biomarkers identified by proteomic and expression array technologies.

In fact, one of the first applications for which biological ontologies were developed, notably the GO [ 1], was to make biological sense of the large data sets emerging from the new expression array technologies in the early 2000s.

The presence of a small number of false positive findings is typical for gene expression array technology due to the fact that expression of well over >10,000 genes is being tested simultaneously.

Gene expression array technology is a powerful tool in expanding the understanding of host-pathogen interactions.

Here, the underlying molecular mechanisms of Onconase-induced loss of MM cell viability were investigated using expression array technology.

We explored potential MT1-MMP-related targets and used expression array technology to identify gene alterations following suppression of MT1-MMP in EJ28 cells.

In this study, we integrated the available gene and microRNA expression array technology and bioinformatics tools to investigate the possibility of uncovering molecular events indicative of TB and LTBI.

We have established a functional and comprehensive state-of-the-art expression array technology platform that supports large-scale investigations in human, mouse, rat, zebrafish, and Schizosaccharomyces pombe systems.

Since the advent of gene expression array technology, it is now well recognised that there are multiple subgroups of breast cancer that can be characterised not only by their histopathology but also by gene expression profiling and that these differences are correlated with disease survival [ 12- 14].

Recently, through the use of expression array technology to explore the transcriptome on a global scale, several groups have investigated the possibility of using microRNAs or specific microRNA-gene associations as biomarkers for the diagnosis of TB or the differentiation between active TB and LTBI.