The measurement of transcript levels constitutes the foundation of today’s molecular genetics. Independent of the techniques used, quantifications are generally normalised using invariant control genes to account for sample handling, loading and experimental variation. All of the widely used control genes are evaluated, dissecting different methodologi-Ž.cal approaches and issues regarding the experimental context e.g. development and tissue type. Furthermore, the major sources of error are highlighted when applying these techniques. Finally, different approaches undertaken to assess the invariance of control genes are critically analysed to generate a procedure that will help to discern the bes
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
<p>Changes in gene expression were compared between the RNA-Seq analysis (light grey) and qRT-PCR as...
<p><b>A</b>. Gene expression normalized with the best combination of reference genes selected by Nor...
For all gene expression studies using quantitative PCR it is necessary to compensate for differences...
<p>Average expression consistency (M) was calculated with the GeNorm algorithm <a href="http://www.p...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
Quantitative real-time polymerase chain reaction is a powerful tool for quantifying gene expression....
<p>A) Expression stability measurements (M) for the five reference genes analyzed. The x-axis from l...
Identification of a reference gene unaffected by the experimental conditions is obligatory for accur...
Gene expression variance has been linked to organismal function and fitness but remains a commonly n...
<p>Mean expression represents the average of all RPKM values for a given gene across the combined TC...
<div><p>The choice of reference genes that are stably expressed amongst treatment groups is a crucia...
Today, quantitative real-time PCR is the method of choice for rapid and reliable quantification of m...
The advent of microarray technology, allowing measurement of gene expressionlevels for thousands of ...
The use of standardized components and processes in engineering underpins the design-build-test mode...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
<p>Changes in gene expression were compared between the RNA-Seq analysis (light grey) and qRT-PCR as...
<p><b>A</b>. Gene expression normalized with the best combination of reference genes selected by Nor...
For all gene expression studies using quantitative PCR it is necessary to compensate for differences...
<p>Average expression consistency (M) was calculated with the GeNorm algorithm <a href="http://www.p...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
Quantitative real-time polymerase chain reaction is a powerful tool for quantifying gene expression....
<p>A) Expression stability measurements (M) for the five reference genes analyzed. The x-axis from l...
Identification of a reference gene unaffected by the experimental conditions is obligatory for accur...
Gene expression variance has been linked to organismal function and fitness but remains a commonly n...
<p>Mean expression represents the average of all RPKM values for a given gene across the combined TC...
<div><p>The choice of reference genes that are stably expressed amongst treatment groups is a crucia...
Today, quantitative real-time PCR is the method of choice for rapid and reliable quantification of m...
The advent of microarray technology, allowing measurement of gene expressionlevels for thousands of ...
The use of standardized components and processes in engineering underpins the design-build-test mode...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
<p>Changes in gene expression were compared between the RNA-Seq analysis (light grey) and qRT-PCR as...
<p><b>A</b>. Gene expression normalized with the best combination of reference genes selected by Nor...