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To address this matter we first compared the RNA expression patterns of KO mice and their WT littermates using an expression microarray approach.
In the present study, transcriptomic profiling of lncRNAs and protein-coding genes from colon pinch biopsies of IBD patients was performed using an expression microarray platform.
Recently, we compared the regulated mRNA levels of genes with L1s and those of genes without L1s through Pearson's chi-squared analyses using an expression microarray of AGO2-knockdown cells [ 2].
In the present study, we performed a genome-wide transcriptome profiling of lncRNAs and protein-coding genes in 96 colon pinch biopsies (inflamed and non-inflamed) extracted from multiple colonic locations from 45 patients (CD = 13, UC = 20, controls = 12) using an expression microarray platform.
Using an expression microarray of the KT2440 chromosome coupled with pCAR1, we previously analyzed the differential expression of both pCAR1 and the KT2440 chromosome during growth on carbazole and succinate, and found that pCAR1 successfully functioned in the host and affected the chromosomal transcriptome [ 4].
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We compared the results from these different normalization methods with microarray data derived from the same cDNA using an established expression microarray platform to offer useful suggestions for future RNA-seq studies.
We next assessed the proportion of expressed genes carrying trimethylated H3K4 and/or H3K27 using an Agilent expression microarray platform by, first, defining present (expressed) and absent (not expressed) calls.
We were not able to identify cell cycle regulated genes in dnaC2 synchronized cells using a gene expression microarray approach.
In line with this observation, using a gene expression microarray analysis on cortical interneuron precursors, the sstr2 gene was found not to be enriched in this population [38].
The lncRNA expression profile of each sample was examined using a lncRNA expression microarray (SurePrint Human Gene Expression Microarray Kit, Agilent technologies, Santa Clara, CA, USA).
Using a commercial expression microarray platform and standard filtering criteria, 4,332 unique genes were found to be variably expressed within this set of histologically similar, early-stage ER-positive breast cancers.
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