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Open AccessJournal ArticleDOI

qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data

TLDR
Advanced and universally applicable models for relative quantification and inter-run calibration with proper error propagation along the entire calculation track are outlined in qBase, a free program for the management and automated analysis of qPCR data.
Abstract
Although quantitative PCR (qPCR) is becoming the method of choice for expression profiling of selected genes, accurate and straightforward processing of the raw measurements remains a major hurdle. Here we outline advanced and universally applicable models for relative quantification and inter-run calibration with proper error propagation along the entire calculation track. These models and algorithms are implemented in qBase, a free program for the management and automated analysis of qPCR data.

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Journal ArticleDOI

Functional impact of global rare copy number variation in autism spectrum disorders

Dalila Pinto, +181 more
- 15 Jul 2010 - 
TL;DR: The genome-wide characteristics of rare (<1% frequency) copy number variation in ASD are analysed using dense genotyping arrays to reveal many new genetic and functional targets in ASD that may lead to final connected pathways.
Journal ArticleDOI

Autism genome-wide copy number variation reveals ubiquitin and neuronal genes

TL;DR: Several new susceptibility genes encoding neuronal cell-adhesion molecules, including NLGN1 and ASTN2, were enriched with CNVs in ASD cases compared to controls, and duplications 55 kilobases upstream of complementary DNA AK123120 indicate that these two important gene networks expressed within the central nervous system may contribute to the genetic susceptibility of ASD.
Journal ArticleDOI

A novel and universal method for microRNA RT-qPCR data normalization

TL;DR: It is demonstrated that the mean expression value outperforms the current normalization strategy in terms of better reduction of technical variation and more accurate appreciation of biological changes.
References
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Journal ArticleDOI

Analysis of relative gene expression data using real-time quantitative pcr and the 2(-delta delta c(t)) method

TL;DR: The 2-Delta Delta C(T) method as mentioned in this paper was proposed to analyze the relative changes in gene expression from real-time quantitative PCR experiments, and it has been shown to be useful in the analysis of realtime, quantitative PCR data.
Journal ArticleDOI

A new mathematical model for relative quantification in real-time RT-PCR.

TL;DR: This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript and presents a new mathematical model that needs no calibration curve.
Journal ArticleDOI

Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

TL;DR: The normalization strategy presented here is a prerequisite for accurate RT-PCR expression profiling, which opens up the possibility of studying the biological relevance of small expression differences.
Journal ArticleDOI

Real time quantitative PCR.

TL;DR: Unlike other quantitative PCR methods, real-time PCR does not require post-PCR sample handling, preventing potential PCR product carry-over contamination and resulting in much faster and higher throughput assays.
Journal ArticleDOI

Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets

TL;DR: A novel, innovative, and robust strategy to identify stably expressed genes among a set of candidate normalization genes, rooted in a mathematical model of gene expression, that provides a direct measure for the estimated expression variation, enabling the user to evaluate the systematic error introduced when using the gene.
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