Although the use of different types of "normal" ovarian specimens makes comparison of our data with other studies difficult in most cases, in one microarray study, however, the normal control was human ovarian surface epithelial cells that had been immortalized using a retrovirus expressing human papillomavirus-derived viral oncoproteins E6 and E7 [40], [40].
Upregulation of mir32 in thyroid cancer vs. benign thyroid tumors has been detected in a microarray study; however functional implication of this microRNA in PTC is not known yet [ 50].
Our findings of decreased COL9A1 expression in OA are consistent with recent proteomic (40) and microarray studies (41); however, other groups failed to observe this significant decrease in COL9A1 expression on gene profiling of OA (36, 42, 43).
However, microarray studies are plagued by a lack of reproducibility and accuracy [90] [93], and we can not place too much emphasis on differences between gene expression levels, but must focus on overall expression profiles.
However, microarray studies are subject to potential variations including biological and technical variability.
However, microarray studies investigating the response of bovine monocytes and mφ to infection and activation have not made use of these focussed microarrays.
However, microarray studies of petite, mitochondria deficient yeast data demonstrate an upregulation of genes encoding ribosomal proteins as compared to mitochondria replete yeast [ 45].
Despite these advances, however, microarray studies are fraught with potential pitfalls that, if not carefully considered, can lead to erroneous conclusions (Simon, 2003).
However, microarray studies often generate gene signatures consisting of hundreds of genes, making it difficult to distinguish which gene expression features are critical.
