Your English writing platform
Free sign upSuggestions(5)
Exact(21)
By using the mean expression value of all expressed miRNAs, we identified the most stable candidate reference genes for subsequent validation.
A robust method using the mean expression value was used to identify the most stably expressed miRNAs: let-7a, miR-26a, miR-345, miR-425 and miR-454.
After data normalization using the mean expression value of all miRs detectable in the respective samples, 60 miRs showed a down-regulation and 33 miRs an upregulation of at least threefold after the treatment.
Relative expression data were then normalized using the mean expression value, calculated on the overall miRNA expression in each array, according to a Ct detection cut-off of 35 PCR cycles as described by Mestdagh et al [23].
Thus, super-clusters were generated using the mean expression profiles of the previously obtained clusters.
The first two measurements were calculated using the mean expression as a cut-off.
Similar(39)
The variability across replicates was therefore fairly low and for the subsequent analyses we used the mean expression values of the triplicates for each gene.
We used the mean expression profile of all genes in each cluster as a representation of the variation in expression within that cluster.
We were able to use the mean expression value of any gene from one-channel of NSCLC cell lines to estimate the log10(GeneXreference).
Additionally, we used the mean expression and variance of biological replicates that was reported by DESeq to test whether the variances used in the differential expression calls would produce confidence interval boundaries consistent with the qPCR measurements.
One potential solution is to use the mean expression values of all genes in a sample as the endogenous control, as proposed by Mestdagh et al. [ 15], and calculate ΔCT by subtracting this mean CT value from the CT value of all genes in the sample.
More suggestions(1)
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