Sentence examples for normalizing expression of from inspiring English sources

The two datasets were combined by normalizing expression of each gene to the highest expressing gene in its set.

Generally, normalizing expression of the target genes to one or several reference genes provide an efficient way to reduce these effects and increase the relevance of the results (Huggett et al. 2005; Marabita et al. 2016).

Two reference genes, β-actin (GenBank Acc. JQ822245) and ribosomal protein S3 (GenBank Acc. JQ822246) were used for normalizing expression of the target gene and correcting for sample-to-sample variation.

Additional primer sets were designed for Histone H4 and for TBP (TATA box binding protein) which served as a housekeeping gene for normalizing expression of the target gene [ 62].

However, in addition to normalizing expression of many tumor-signature transcripts, the ras V12scrib bsk DN clones also exhibited a unique profile, with 304 genes that were regulated in the opposite direction from those in the ras V12scrib clones (Fig. 1B) and 363 genes that were misexpressed exclusively in ras V12scrib bsk DN tumors (Fig. 1A).

qRT-PCR results were analyzed by normalizing expression to the internal control glyceraldehyde-3-phosphate dehydrogenase (GAPDH).

The relative fold change of a gene caused by a particular treatment was calculated by first normalizing its expression to that of the reference gene (actin) in the same treated sample to obtain its normalized expression, and then comparing this normalized expression with the similarly normalized expression of the same gene in the corresponding control sample as described [ 74].

RPL13, GAPDH, G6PD, PBGD and ALAS1 were used for normalizing expression data of mouse-human cell hybrids.

Genes with stable expression across brain regions and subjects were identified as possible reference RNAs for normalizing expression levels of other RNAs using the following information-theoretic approach.

The arithmetic mean of the five reference genes (GAPDH, GUSB, RPLP0, TFRC and UBB) was used for normalizing expression values of all the genes in each RNA.

This approach analyzed expression of the target gene (CTs) while simultaneously normalizing expression by including expression of the reference gene (CTs) as a covariate in the model [ 88, 113].