Literature DB >> 15815687

Real-time RT-PCR normalisation; strategies and considerations.

J Huggett1, K Dheda, S Bustin, A Zumla.   

Abstract

Real-time RT-PCR has become a common technique, no longer limited to specialist core facilities. It is in many cases the only method for measuring mRNA levels of vivo low copy number targets of interest for which alternative assays either do not exist or lack the required sensitivity. Benefits of this procedure over conventional methods for measuring RNA include its sensitivity, large dynamic range, the potential for high throughout as well as accurate quantification. To achieve this, however, appropriate normalisation strategies are required to control for experimental error introduced during the multistage process required to extract and process the RNA. There are many strategies that can be chosen; these include normalisation to sample size, total RNA and the popular practice of measuring an internal reference or housekeeping gene. However, these methods are frequently applied without appropriate validation. In this review we discuss the relative merits of different normalisation strategies and suggest a method of validation that will enable the measurement of biologically meaningful results.

Mesh:

Substances:

Year:  2005        PMID: 15815687     DOI: 10.1038/sj.gene.6364190

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  661 in total

1.  Reference genes for qPCR assays in toxic metal and salinity stress in two flatworm model organisms.

Authors:  Michelle Plusquin; Olivier DeGheselle; Ann Cuypers; Ellen Geerdens; Andromeda Van Roten; Tom Artois; Karen Smeets
Journal:  Ecotoxicology       Date:  2011-11-12       Impact factor: 2.823

2.  Identification of suitable reference genes for real-time RT-PCR normalization in the grapevine-downy mildew pathosystem.

Authors:  M Selim; S Legay; B Berkelmann-Löhnertz; G Langen; K-H Kogel; D Evers
Journal:  Plant Cell Rep       Date:  2011-10-18       Impact factor: 4.570

3.  Theoretical design and analysis of multivolume digital assays with wide dynamic range validated experimentally with microfluidic digital PCR.

Authors:  Jason E Kreutz; Todd Munson; Toan Huynh; Feng Shen; Wenbin Du; Rustem F Ismagilov
Journal:  Anal Chem       Date:  2011-10-07       Impact factor: 6.986

4.  The RNA-binding protein HuR opposes the repression of ERBB-2 gene expression by microRNA miR-331-3p in prostate cancer cells.

Authors:  Michael R Epis; Andrew Barker; Keith M Giles; Dianne J Beveridge; Peter J Leedman
Journal:  J Biol Chem       Date:  2011-10-04       Impact factor: 5.157

5.  Validation of housekeeping genes for gene expression studies in Symbiodinium exposed to thermal and light stress.

Authors:  Nedeljka N Rosic; Mathieu Pernice; Mauricio Rodriguez-Lanetty; Ove Hoegh-Guldberg
Journal:  Mar Biotechnol (NY)       Date:  2010-07-29       Impact factor: 3.619

6.  Evaluation of candidate reference genes for expression studies in Pisum sativum under different experimental conditions.

Authors:  José V Die; Belén Román; Salvador Nadal; Clara I González-Verdejo
Journal:  Planta       Date:  2010-04-09       Impact factor: 4.116

7.  Selection of reliable reference genes for gene expression study in nasopharyngeal carcinoma.

Authors:  Yi Guo; Jia-xin Chen; Shu Yang; Xu-ping Fu; Zheng Zhang; Ke-he Chen; Yan Huang; Yao Li; Yi Xie; Yu-min Mao
Journal:  Acta Pharmacol Sin       Date:  2010-11       Impact factor: 6.150

8.  Validation of reference genes for real-time quantitative PCR studies in gene expression levels of Lactobacillus casei Zhang.

Authors:  Wenjing Zhao; Yan Li; Pengfei Gao; Zhihong Sun; Tiansong Sun; Heping Zhang
Journal:  J Ind Microbiol Biotechnol       Date:  2010-11-23       Impact factor: 3.346

9.  Expression profiling of the lignin biosynthetic pathway in Norway spruce using EST sequencing and real-time RT-PCR.

Authors:  Sanna Koutaniemi; Tino Warinowski; Anna Kärkönen; Edward Alatalo; Carl G Fossdal; Pekka Saranpää; Tapio Laakso; Kurt V Fagerstedt; Liisa K Simola; Lars Paulin; Stephen Rudd; Teemu H Teeri
Journal:  Plant Mol Biol       Date:  2007-09-01       Impact factor: 4.076

10.  Analysis of variance components reveals the contribution of sample processing to transcript variation.

Authors:  Douwe van der Veen; José Miguel Oliveira; Willy A M van den Berg; Leo H de Graaff
Journal:  Appl Environ Microbiol       Date:  2009-02-20       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.