… measurements of gene expression levels. Here, … gene selection for insect gene expression
studies that employed the most widely used SYBR Green method for RT-qPCR normalization. …

… reference genes is that … gene data to be correctly normalized by the reference gene(s). The
circularity is partly evened out by the normalization factor approach, based on the expression …

… This study identified groups of genes suitable for accurate normalization of RT qPCR data
in the sample subsets. An overlap in the most suitable reference genes can be seen between …

… a single reference gene or 3 reference genes as a … genes for RT-qPCR data normalization
may change from analysis to analysis. Arbitrary selection of more or fewer reference genes …

… PCR (qPCR) normalization methodology is not standardized across gene expression studies,
… explicit and statistically rigorous approach to qPCR normalization that enhances 2 −ΔΔCt …

… the normalization of RT-qPCR data using reference genes … Validation RT-qPCR experiments
across several organisms … outperformed commonly used reference genes. RefGenes is …

… Here we present two normalization methods for high-throughput qPCR-based data
adapted from those commonly applied in DNA microarray analysis: rank-invariant set …

… Thus, our findings showed that it is crucial to use the right HKGs to precise normalize gene
expression levels in cancer studies, once a suitable HKG for one cell type cannot be to the …

… for reliable normalization. This study provides an accurate tool for quantitative gene
expression … to the MIQE guidelines and shows that reference gene reliability is treatment-specific. …

… for the normalization of Acanthamoeba RT-qPCR. … a normalizing gene. Additionally, geNorm
enables an evaluation, how many RGs are optimally required for an accurate normalization. …