Sentence examples for microarray methodologies in from inspiring English sources

The heterogeneity between ducts of the same patient that was revealed in this study provides a cautionary note for interpretation of data from microdissection or microarray methodologies in which a small number of samples each with only a few cells are used to characterize a tumor, since the heterogeneity of a tumor in vivo may not be reflected in such small samples [ 24, 25].

The heterogeneity between ducts that was revealed in this study provides a cautionary note for interpretation of data from microdissection or microarray methodologies in which a small number of samples with only a few cells are used to characterize a tumor, since the heterogeneity of a tumor in vivo may not be reflected in such small samples [ 24, 25].

Following the introduction of microarray methodology in haematological malignancies research, many studies investigated the prediction of reliable prognostic patient subtypes on the basis of their specific gene expression signatures [ 20, 29, 30].

Thus, we propose that peptide microarray methodologies are a powerful new tool for elucidating molecular interactions at chromatin.

The resolution of this microarray methodology is ∼15% in exon inclusion differences [15].

Using this approach not only can mRNA levels be validated, but also differences in microarray methodology, normalization and data processing methods.

The lack of agreement between these studies is probably due to differences in the animal models (parenteral vs. enteral iron loading; mouse strains) and in the microarray methodology.

Using conventional dye-swap microarray methodology, we compared transcript abundance in a sample of >7,000 genes between four mutation accumulation (MA) lines of the nematode Caenorhabditis elegans and the common (unmutated) ancestor.

These observations are supported by an earlier report that, using microarray methodology, also identified p53 BP2 (ASPP2) downregulation in breast cancer [ 33].

Recently next generation sequencing technology in combination with microarray methodology [ 16] has been demonstrated to be a fast and reliable tool for analysis of large genes such as NEB[ 15].

In particular, the use of DNA microarray methodology (ChIP-on-chip) allows for high-throughput analysis of thousands of genomic sequences simultaneously [ 3].