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In the case of arcA and crtI1 the RT-PCR data even indicated a gene regulation although the DNA microarray approach did not.
However, the microarray approach did not show a significant increase of gene expression in protein catabolic pathways.
Since the microarray approach did not show significant changes of gene expression in protein catabolic pathways, we decided to use real-time PCR and the enzyme activity assays to measure the expression of genes and enzyme activities in the major proteolytic systems.
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Flori et al. [ 27] carried out genome-wide gene expression analysis via a microarray technique, but this approach did not produce evaluable data on the kinetic properties of the PRV genes.
What approach did you take?
Although this approach does not cover every CpG island in the genome, as microarray-based approaches may achieve [ 9, 10], RLGS provides highly reliable data due to the molecular simplicity of the assay.
Which approach do you favor?
This approach allowed for the detection of about ten times more of the differentially expressed genes than did the regular cDNA microarray approach in human hepatoma, particularly for those with low expression.
We did not use the tissue microarray approach, to avoid sampling bias due to tumor heterogeneity.
To do this we used a cDNA microarray approach (using CATMA microarrays) to measure global RNA expression in leaves of the three genotypes (npq4, wild-type and oePsbS) as grown in the field.
Microarray approaches have also been done in this species to assess transcriptome differences between two early larval stages [ 4], to underline the liver transcriptomic response after cortisol administration [ 5, 6] or to identify the key genes involved in the re-epithelialization process after scale removal [ 7].
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