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Furthermore, SGI-1776 reduced total protein levels of c-Myc and microarray analyses displayed gene expression patterns consistent with blunted c-Myc activity.
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Linear regression analyses displayed highly significant correlations (r = 0.982) between qRT-PCR and microarray results for the 12 evaluated genes (see Additional file 2), confirming the validity of the microarray results.
The results were consistent to the microarray data, since the genes analysed displayed similar differential gene expression in response to aphids.
Six out of nine genes analysed displayed a greater fold change than that detected by the array (Table 2), most likely reflecting the sensitivity of qPCR analysis relative to the microarray analysis (Dallas et al., 2005).
The microarray analyses showed that altogether 109 and 173 genes displayed over two-fold difference with at least two different RPS6KB1 siRNAs in BT-474 and MCF-7 breast cancer cell lines, respectively.
Differential mRNA display and cDNA microarray analyses have not demonstrated consistent over-expression of additional specific genes mapped to this area in cells selected for resistance to BCNU.
All microarray cluster analyses were displayed using Java Treeview version 1.1.3.
All microarray cluster analyses were displayed by using Java Treeview version 1.1.3.
Microarray analyses in C2C12 cells also establish that these KMTs display different expression profiles SUV420H1 and SUV420H2 stay constant or increase, while EZH2 and SUV39H1 decline [52], [53], which has also been independently established for the latter two enzymes [37], [38], [54], [55].
The aim of this study was therefore, to analyse gene expression by microarray analyses simultaneously in different malignant cell lines - to identify potential TRD target genes which displayed conjoint regulation in all cell lines.
Work flow for microarray analyses.
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