Sentence examples for microarray analysis led from inspiring English sources

Microarray analysis led to the identification of 648 genes differentially expressed in liver (P<0.05), and a lot of them were involved in lipid and carbohydrate metabolism.

Microarray analysis led to the identification of S100A4 as a downregulated gene in the current study.

In the present study, the preliminary microarray analysis led us to focus on the chemokine receptor CCR3.

Microarray analysis led to the identification of 118 differentially expressed transcripts, of which 20 and 8 were monitored by real-time PCR and in situ hybridization, respectively.

This has been the case in studies of two other autoimmune or inflammatory diseases in which microarray analysis led to the identification of the disease-causing polymorphism [ 76, 77].

These results of microarray analysis led us to focus on carcinoembryonic antigen-related cell adhesion molecule (CEACAM) family including carcinoembryonic antigen (CEA) as a potential surrogate marker of EGFR-TKI sensitivity.

Notably, our analyses suggest that including biased probes in a microarray analysis leads not only to spurious results from these biased probes, but affects conclusions drawn from probes that are interrogated by probes that perform equally well in both species.

It is also clear that varying the microarray platform, reference sample or segmentation method used for microarray image analysis leads to significant differences in data repeatability and gene discovery [ 16- 18].

Microarray analysis has led to gene signatures that differentiate rheumatic diseases, and stages of a disease, as well as response to treatments.

Regardless of technique, microarray analysis has led to a new understanding of labor as inherently an inflammatory process, even in the absence of infection [ 97, 99].

The introduction of microarray analysis recently lead to a better characterization of breast cancer on a molecular level, underlining its biological heterogeneity and revealing that breast tumors can be grouped into different subtypes with distinct gene expression profiles and prognosis [ 3].