Literature DB >> 23045609

RNA quality assessment: a view from plant qPCR studies.

Jose V Die1, Belén Román.   

Abstract

Reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR) is probably the most common molecular technique used in transcriptome analyses today. The simplicity of the technology and associated protocols that generate results without the need to understand the underlying principles has made RT-qPCR the method of choice for RNA quantification. Rather than the 'gold standard technology' often used to describe it, the performance of RT-qPCR suffers from considerable pitfalls during general workflow. The inconsistency of conventional methods for the evaluation of RNA quality and its influence on qPCR performance as well as stability of reference genes is summarized and discussed here.

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Year:  2012        PMID: 23045609     DOI: 10.1093/jxb/ers276

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  17 in total

1.  How to perform RT-qPCR accurately in plant species? A case study on flower colour gene expression in an azalea (Rhododendron simsii hybrids) mapping population.

Authors:  Ellen De Keyser; Laurence Desmet; Erik Van Bockstaele; Jan De Riek
Journal:  BMC Mol Biol       Date:  2013-06-24       Impact factor: 2.946

2.  Tracking the best reference genes for RT-qPCR data normalization in filamentous fungi.

Authors:  Agustina Llanos; Jean Marie François; Jean-Luc Parrou
Journal:  BMC Genomics       Date:  2015-02-14       Impact factor: 3.969

3.  Superior cross-species reference genes: a blueberry case study.

Authors:  Jose V Die; Lisa J Rowland
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

4.  Design and Sampling Plan Optimization for RT-qPCR Experiments in Plants: A Case Study in Blueberry.

Authors:  Jose V Die; Belen Roman; Fernando Flores; Lisa J Rowland
Journal:  Front Plant Sci       Date:  2016-03-07       Impact factor: 5.753

5.  Stability evaluation of reference genes for gene expression analysis by RT-qPCR in soybean under different conditions.

Authors:  Qiao Wan; Shuilian Chen; Zhihui Shan; Zhonglu Yang; Limiao Chen; Chanjuan Zhang; Songli Yuan; Qinnan Hao; Xiaojuan Zhang; Dezhen Qiu; Haifeng Chen; Xinan Zhou
Journal:  PLoS One       Date:  2017-12-13       Impact factor: 3.240

6.  Genome-wide identification of the auxin response factor gene family in Cicer arietinum.

Authors:  Jose V Die; Juan Gil; Teresa Millan
Journal:  BMC Genomics       Date:  2018-04-27       Impact factor: 3.969

7.  A Toolbox for Quantitative Gene Expression in Varroa destructor: RNA Degradation in Field Samples and Systematic Analysis of Reference Gene Stability.

Authors:  Ewan M Campbell; Catriona H McIntosh; Alan S Bowman
Journal:  PLoS One       Date:  2016-05-16       Impact factor: 3.240

8.  Differential amplicons (ΔAmp)-a new molecular method to assess RNA integrity.

Authors:  J Björkman; D Švec; E Lott; M Kubista; R Sjöback
Journal:  Biomol Detect Quantif       Date:  2015-09-26

9.  The focus on sample quality: Influence of colon tissue collection on reliability of qPCR data.

Authors:  Vlasta Korenkova; Jana Slyskova; Vendula Novosadova; Sara Pizzamiglio; Lucie Langerova; Jens Bjorkman; Ondrej Vycital; Vaclav Liska; Miroslav Levy; Karel Veskrna; Pavel Vodicka; Ludmila Vodickova; Mikael Kubista; Paolo Verderio
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

10.  Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow.

Authors:  Dominik Buschmann; Anna Haberberger; Benedikt Kirchner; Melanie Spornraft; Irmgard Riedmaier; Gustav Schelling; Michael W Pfaffl
Journal:  Nucleic Acids Res       Date:  2016-06-17       Impact factor: 16.971

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