Sentence examples for microarray technology but from inspiring English sources
In theory, biological changes should define the limitations of microarray technology, but unfortunately, technological issues have frequently limited the usefulness of microarray data.
Several studies have identified HD blood mRNA changes using microarray technology, but it has proven difficult to validate these across studies.
The prognostic value of grading in breast cancer can be increased with microarray technology, but proposed strategies are disadvantaged by the use of specific training data or parallel microscopic grading.
RNA-seq can not only determine the absolute gene expression levels with lower variation compared to microarray technology, but can also be used to find new genes and resolve the structure of transcripts [ 1, 2].
"We at the NCT are using microarray technology, but we're also using proteomics, and we want to be able to use metabolomics to understand how toxicants operate, what their mode of action is, what some of the biomarkers are that would indicate when a toxic outcome is likely to occur, [and]... predict those effects at earlier times and lower doses," he says.
We will maintain the current version of GermOnline based on Ensembl release 50 and MIMAS 3.0 such that classical 3′-UTR GeneChip data remain available even as this type of microarray technology (but not the data produced with them) becomes obsolete.
Two recent studies investigated the lncRNA expression profile of RCC tissues using microarray technologies, but samples sizes were small (n = 4 [ 5]; n = 6 [ 6]; n = 11 [ 7]), thereby limiting powerful statistical analysis; furthermore, the analyses were limited to a set of 984 lncRNAs in the Fachel study [ 7].
As a result, most labs have resorted to microarray technology to achieve adequate, but less comprehensive coverage.
Microarray technology shows great potential but previous studies were limited by small number of samples in the colorectal cancer (CRC) research.
Previously, we used microarrays to determine genes involved in the process of implantation in mice (Yoshioka et al. 2000), but microarray technology cannot identify expressed ERVs because of the high similarities in their nucleotide sequences.
By applying microarray technology to the immortalized but non-tumorigenic human prostate epithelial cell line RWPE1, we have identified a number of mechanisms by which vitamin D may influence the early stages of prostate carcinogenesis.
