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We conducted Agilent 4×44K human whole genome microarray analyses by standard methodology.
Secondary outcome included validation of the results of microarray analyses by quantitative reverse transcription-PCR.
The complete panel of tissues for microarray analyses by our group has been described [ 47].
This analysis adds to previous microarray analyses by identifying genes transcribed in the germ line independent of their level of expression in the soma [ 11, 12].
Moreover, CGH microarray analyses by Guidot et al. [ 16] established that both replicons have a long history of coevolution within the R. solanacearum species complex.
Here, we conducted DNA microarray analyses by using the same set of probes designed for 2621 sense-antisense pairs in [ 10] to detect transcripts expressed in colon cancer tissues.
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MCTP1 was specifically expressed in taste buds and not surrounding lingual epithelial cells by microarray analyses and localized to TRPM5 cells by ISH.
This work presents the first cDNA sunflower fluorescence microarray analysed by a combined statistical method, studying transcriptional changes in early responses to chilling and salinity.
Efforts to control the multiplicity effect are becoming common in microarray studies; according to the assessment of statistical methodologies for microarray analyses conducted by Jafari and Azuaje [ 10], 10.7 and 18.4% have been applied in research and methodology studies, respectively.
RNA extracted from three or four cell lines for each mutant group (3AKO, 3BKO, 3CKO and E3KO), from two or three lines for each corresponding revertant and the parental EBV-BAC (wtBAC), and three times from the parental BL31 line was used to generate transcriptome information using Affymetrix Human Exon 1.0 ST microarrays, analysed by MMBGX [46] to interpret this at the gene and transcript level.
The differences in gene expression found by microarray analyses were validated by real-time PCR.
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