Abstract Background Gene expression studies require appropriate normalization methods. One such method uses stably expressed reference genes. Since suitable reference genes appear to be unique for each tissue, we have identified an optimal set of the most stably expressed genes in human blood that can be used for normalization. Methods Whole-genome Affymetrix Human 2.0 Plus arrays were examined from 526 samples of males and females ages 2 to 78, including control subjects and patients with Tourette syndrome, stroke, migraine, muscular dystrophy, and autism. The top 100 most stably expressed genes with a broad range of expression levels were identified. To validate the best candidate genes, we performed quantitative RT-PCR on a subset of 10 ...
Proper data normalization in quantitative real-time reverse-transcription polymerase chain reaction ...
Abstract Reference genes are obligatory for accurate normalization of mRNA transcript levels across ...
The use of an appropriate reference gene to ensure accurate normalisation is crucial for the correct...
BackgroundGene expression studies require appropriate normalization methods. One such method uses st...
Normalization of mRNA levels using endogenous reference genes (ERGs) is critical for an accurate com...
<div><p>The choice of reference genes that are stably expressed amongst treatment groups is a crucia...
The quantification of gene expression by real-time polymerase chain reaction (PCR) has revolutionize...
Quantitative data from experiments of gene expression are often normalized through levels of houseke...
BackgroundBlood is a convenient sample and increasingly used for quantitative gene expression measur...
BACKGROUND: Endogenous reference genes are commonly used to normalize expression levels of other ge...
Background: The use of reference genes for normalization of whole blood qRT-PCR data may be problema...
Abstract Background Preterm birth is the leading cause of neonatal morbidity and mortality, but rese...
Background: Reference genes, which are often referred to housekeeping genes, are fr...
BACKGROUND: Polymerase Chain Reaction (PCR) has become an important diagnostic and research tool of ...
The accuracy of quantitative real-time PCR (qRT-PCR) is highly dependent on ...
Proper data normalization in quantitative real-time reverse-transcription polymerase chain reaction ...
Abstract Reference genes are obligatory for accurate normalization of mRNA transcript levels across ...
The use of an appropriate reference gene to ensure accurate normalisation is crucial for the correct...
BackgroundGene expression studies require appropriate normalization methods. One such method uses st...
Normalization of mRNA levels using endogenous reference genes (ERGs) is critical for an accurate com...
<div><p>The choice of reference genes that are stably expressed amongst treatment groups is a crucia...
The quantification of gene expression by real-time polymerase chain reaction (PCR) has revolutionize...
Quantitative data from experiments of gene expression are often normalized through levels of houseke...
BackgroundBlood is a convenient sample and increasingly used for quantitative gene expression measur...
BACKGROUND: Endogenous reference genes are commonly used to normalize expression levels of other ge...
Background: The use of reference genes for normalization of whole blood qRT-PCR data may be problema...
Abstract Background Preterm birth is the leading cause of neonatal morbidity and mortality, but rese...
Background: Reference genes, which are often referred to housekeeping genes, are fr...
BACKGROUND: Polymerase Chain Reaction (PCR) has become an important diagnostic and research tool of ...
The accuracy of quantitative real-time PCR (qRT-PCR) is highly dependent on ...
Proper data normalization in quantitative real-time reverse-transcription polymerase chain reaction ...
Abstract Reference genes are obligatory for accurate normalization of mRNA transcript levels across ...
The use of an appropriate reference gene to ensure accurate normalisation is crucial for the correct...