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Microarray assays have been widely adopted in cancer marker exploration and expression profiling of tumor genes [ 3, 4].
To meet this challenge, hybridization-based microarray assays have been developed that are capable of measuring variation in the expression of hundreds-to-thousands of genes in multiple samples in a single experiment [ 12, 13].
To examine the results for all 60 miRNAs on one plot, we cannot simply plot qPCR Ct values versus microarray signals for all miRNAs in all tissues, because both the qPCR and microarray assays have differential sensitivities to different miRNAs.
Microarray assays have indicated that the gene expression profile was altered in the liver of SCD knockout mice, and the most obvious pattern was down-regulation of the genes involved in lipogenesis and up-regulation of the genes associated with fatty acid β-oxidation [ 8].
Although Ach et al [ 41] reported good correlations (r > 0.9) in 53/60 miRNAs when comparing microarray (Agilent) and individual TaqMan qPCR assays (Applied Biosystems), they could not compare all 60 miRNAs in one plot because qPCR and microarray assays have differential sensitivities to different miRNAs.
Because the fluorescent dyes used in most microarray assays have slightly different efficiencies for light emission, the detection efficiencies of the phototubes has some wavelength dependence and hence differ for the different dyes, and because the PMTs exhibit nonlinearities at high and low intensities, the log-ratios measured often exhibit some systematic, intensity-dependent variation.
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Microarray data have been deposited to the Gene Expression Omnibus (GSE97034).
Nevertheless, microarray studies have generated new and interesting insights.
The microarray data have been deposited in the NCBI Gene Expression Omnibus (GEO) with record GSE25340.
Microarray studies have identified hundreds of SNPs that are linked to common diseases.
Accession codes: Microarray data have been deposited in ArrayExpress under accession code E-TABM-1219 E-TABM-1219 E-TABM-1219
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