Literature DB >> 24078518

Reference genes in real-time PCR.

Bartłomiej Kozera, Marcin Rapacz.   

Abstract

This paper aims to discuss various aspects of the use of reference genes in qPCR technique used in the thousands of present studies. Most frequently, these are housekeeping genes and they must meet several criteria so that they can lay claim to the name. Lots of papers report that in different conditions, for different organisms and even tissues the basic assumption—the constant level of the expression is not maintained for many genes that seem to be perfect candidates. Moreover, their transcription can not be affected by experimental factors. Sounds simple and clear but a great number of designed protocols and lack of consistency among them brings confusion on how to perform experiment properly. Since during selection of the most stable normalizing gene we can not use any reference gene, different ways and algorithms for their selection were developed. Such methods, including examples of best normalizing genes in some specific cases and possible mistakes are presented based on available sources. Numerous examples of reference genes applications, which are usually in too few numbers in relevant articles not allowing to make a solid fundament for a reader, will be shown along with instructive compilations to make an evidence for presented statements and an arrangement of future qPCR experiments. To include all the pitfalls and problems associated with the normalization methods there is no way not to begin from sample preparation and its storage going through candidate gene selection, primer design and statistical analysis. This is important because numerous short reviews available cover the topic only in lesser extent at the same time giving the reader false conviction of complete topic recognition.

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Year:  2013        PMID: 24078518      PMCID: PMC3825189          DOI: 10.1007/s13353-013-0173-x

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  73 in total

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2.  mRNA and 18S-RNA coapplication-reverse transcription for quantitative gene expression analysis.

Authors:  Li-ji Zhu; Scott W Altmann
Journal:  Anal Biochem       Date:  2005-10-01       Impact factor: 3.365

3.  How to do successful gene expression analysis using real-time PCR.

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Journal:  Methods       Date:  2009-12-05       Impact factor: 3.608

4.  A practical approach to RT-qPCR-Publishing data that conform to the MIQE guidelines.

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Journal:  Methods       Date:  2010-04       Impact factor: 3.608

5.  Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress.

Authors:  Nathalie Nicot; Jean-François Hausman; Lucien Hoffmann; Danièle Evers
Journal:  J Exp Bot       Date:  2005-09-27       Impact factor: 6.992

6.  Selection of optimal reference genes for normalization in quantitative RT-PCR.

Authors:  Inna Chervoneva; Yanyan Li; Stephanie Schulz; Sean Croker; Chantell Wilson; Scott A Waldman; Terry Hyslop
Journal:  BMC Bioinformatics       Date:  2010-05-14       Impact factor: 3.169

7.  Evaluation of potential reference genes for use in gene expression studies in the conifer pathogen (Heterobasidion annosum).

Authors:  Tommaso Raffaello; Fred O Asiegbu
Journal:  Mol Biol Rep       Date:  2013-05-05       Impact factor: 2.316

8.  Validation of endogenous reference genes for qRT-PCR analysis of human visceral adipose samples.

Authors:  Rohini Mehta; Aybike Birerdinc; Noreen Hossain; Arian Afendy; Vikas Chandhoke; Zobair Younossi; Ancha Baranova
Journal:  BMC Mol Biol       Date:  2010-05-21       Impact factor: 2.946

9.  Instability of standard PCR reference genes in adipose-derived stem cells during propagation, differentiation and hypoxic exposure.

Authors:  Trine Fink; Pia Lund; Linda Pilgaard; Jeppe Grøndahl Rasmussen; Meg Duroux; Vladimir Zachar
Journal:  BMC Mol Biol       Date:  2008-10-31       Impact factor: 2.946

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

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  277 in total

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Journal:  Proc Biol Sci       Date:  2019-09-25       Impact factor: 5.349

2.  Validating candidate reference genes for qRT-PCR-based gene expression analysis in nonfunctioning pituitary adenomas.

Authors:  Mateusz Bujko; Natalia Rusetska; Michal Mikula
Journal:  Pituitary       Date:  2016-02       Impact factor: 4.107

3.  Defining stable reference genes in HIV latency reversal experiments.

Authors:  Cristina Ceriani; Gabrielle S Streeter; Kena J Lemu; Katherine S James; Simon Ghofrani; Brigitte Allard; Bonnie E Shook-Sa; David M Margolis; Nancie M Archin
Journal:  J Virol       Date:  2021-03-24       Impact factor: 5.103

4.  Selection of reliable reference genes for analysis of gene expression in the rat placenta.

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Journal:  Mol Cell Biochem       Date:  2021-03-03       Impact factor: 3.396

5.  A spiking strategy facilitates housekeeping selection for RT-qPCR analysis under different biotic stresses in eggplant.

Authors:  Valeria Barbierato; Tea Sala; Paola Rinaldi; Laura Bassolino; Lorenzo Barchi; Giuseppe Leonardo Rotino; Laura Toppino
Journal:  Protoplasma       Date:  2017-04-21       Impact factor: 3.356

6.  Identification of reference genes suitable for RT-qPCR studies of murine gastrulation and patterning.

Authors:  Kristen S Barratt; Koula E M Diamand; Ruth M Arkell
Journal:  Mamm Genome       Date:  2018-08-09       Impact factor: 2.957

7.  Quantification of cDNA on GMR biosensor array towards point-of-care gene expression analysis.

Authors:  Neeraja Ravi; Giovanni Rizzi; Sarah E Chang; Peggie Cheung; Paul J Utz; Shan X Wang
Journal:  Biosens Bioelectron       Date:  2018-09-13       Impact factor: 10.618

8.  Easy-to-use strategy for reference gene selection in quantitative real-time PCR experiments.

Authors:  Stefanie Klenke; Kristina Renckhoff; Andrea Engler; Jürgen Peters; Ulrich H Frey
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2016-09-20       Impact factor: 3.000

Review 9.  Consensus reference gene(s) for gene expression studies in human cancers: end of the tunnel visible?

Authors:  R N Sharan; S Thangminlal Vaiphei; Saibadaiahun Nongrum; Joshua Keppen; Mandahakani Ksoo
Journal:  Cell Oncol (Dordr)       Date:  2015-09-18       Impact factor: 6.730

10.  Standardization and quality control for high-dimensional mass cytometry studies of human samples.

Authors:  Katja Kleinsteuber; Björn Corleis; Narges Rashidi; Nzuekoh Nchinda; Antonella Lisanti; Josalyn L Cho; Benjamin D Medoff; Douglas Kwon; Bruce D Walker
Journal:  Cytometry A       Date:  2016-08-30       Impact factor: 4.355

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