The data recorded by means of the Affymetrix GeneChip® microarray technique are characterized by the typical levels of noise induced by the preparation, hybridization and measurement processes as well as a specific structure.
The microarray technique is usually used by researchers to identify differentially expressed genes between two different RNA samples.
This could be explained by the methodologies employed, insofar as microarray techniques are less precise and sensitive than quantitative real-time RT-PCR [ 34].
Microarray techniques were according to Agilent's One-Color Microarray-Based Gene Expression Analysis (Quick Amp Labeling) manual Version 5.7 (Agilent; www.agilent.com).
The changes in expression levels of target genes and transcription factors captured by microarray techniques can be combined with other genomic data, such as the sequence information and functional annotations of all the genes in order to reversely infer co-regulated genes and their regulators [ 3].
Cohorts other than A corresponded to series of patients analysed by microarray techniques, which were previously published: B (Bild et al, 2006), C Pottii et al, 2006), D (Lee et al, 2008), E (Raponi et al, 2006) and F (Shedden et al, 2008).
Moreover, the NPs were further evaluated for the regulation of different apoptotic gene activities in the retinoblastoma cell line by microarray technique.
Tissue microarray (TMA) technique was developed by Kononen et al (1998).
Tissue microarray (TMA) technique was used for immunohistochemical study [ 10].
The cellular response to Chlamydia infection has been studied by microarray techniques, and 18 genes appeared to be selectively upregulated following infection with C. trachomatis [ 23].
