It is interesting to compare the quantifications of neurons carried out by various techniques.
Relative expression ratios are commonly estimated in real-time qPCR studies by comparing the quantification cycle for the target gene with that for a reference gene in the treatment samples, normalized to the same quantities determined for a control sample.
Therefore, we compared the quantification of the fourteen transcripts by qRT-PCR using either oligo dT) or random primers.
We compared the quantification of ER, HER2, PR, and Ki-67 expressions between MMIHC and the respective quantified Western blot bands by using Pearson's correlation.
To understand the effect of a single round versus a double round of linear amplification we compared the quantification of RNA using both methods.
We purified naïve, effector memory and central memory T cells from peripheral blood mononuclear cells (PBMC) and compared the quantification of the T cell subsets by expression microarray deconvolution to their levels determined by cell sorting (FACS).
Quantification was carried out using a LightCycler 480 Real-Time PCR System (Roche Diagnostics, Mannheim, Germany) by comparing the quantification cycle of each sample to the quantification cycle of a standard curve constructed by amplifying different known copy numbers of target gene.
As an attempt to use a rapid fatty acid detection protocol, we also compared the quantification results obtained from the GC MS analysis with those obtained from Nile red assays.
To this end, we measured subunit exchange kinetics between recombinant WT and FT2·WT TTR in standard phosphate buffer, comparing the quantification of the TTR tetramers resulting from subunit exchange using both tryptophan fluorescence-based detection and TTR· A2 conjugate-based fluorescence detection.
