Your English writing platform
Free sign upSuggestions(5)
Exact(60)
To display an overview of the microarray results, we clustered the transcripts according to fold change using R language, which revealed that the expression level of most transcripts did not change in either part 1 or part 2 (Fig. 4D).
To confirm our microarray results, we performed quantitative real-time PCR analysis (Figure 6).
To validate the microarray results, we used qRT-PCR to compare mRNA levels among the three cell types.
To validate the microarray results, we carried out qRT-PCR analysis on 11 genes encoding proteins with known function.
To further validate the microarray results we analyzed normal and Dbl lens sections by specific staining and immunohistochemistry.
To confirm our microarray results, we used a quantitative real time polymerase chain reaction (Q-RT-PCR).
To validate the microarray results, we performed quantitative real-time PCR (qRT-PCR) of all the previously selected genes.
To validate these microarray results, we carried out quantitative real-time RT-PCR analysis (Q-PCR) for these genes.
To validate the microarray results, we carried out the real-time PCR for 25 genes and beta-actin gene was used as a reference.
Confirming our previous RAD microarray results, we found three regions of linkage on LGIV, one near the Eda locus located at 13 Mb, another at 20 Mb and a third at 25 Mb (Fig. 2B).
To confirm our microarray results we used quantitative RT-PCR to analyze the relative transcript abundance in hBMEC of the following genes involved in the host immune response: IL-6, IL-8, CXCL1, CXCL2, and CCL20.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com