Literature DB >> 10948434

Control selection for RNA quantitation.

T Suzuki1, P J Higgins, D R Crawford.   

Abstract

The study of mammalian gene expression is often carried out at the level of mRNA. In such analyses, one usually measures the amount of an mRNA of interest under different conditions such as stress, growth, development, cell and tissue localization or as part of an evaluation of the effects of gene transfection. A variety of techniques exist to measure gene expression and most commonly involve Northern hybridization analysis, ribonuclease protection or RT-PCR. Common to all of these assays is the inclusion of a so-called loading or internal control (i.e., analysis of an mRNA that does not change in relative abundance during the course of treatments). Here, we discuss the uses and pitfalls of the most popular of these controls, glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and beta-actin, with special emphasis on precautions associated with the use of GAPDH.

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Year:  2000        PMID: 10948434     DOI: 10.2144/00292rv02

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  289 in total

1.  Experimental validation of novel and conventional approaches to quantitative real-time PCR data analysis.

Authors:  Stuart N Peirson; Jason N Butler; Russell G Foster
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

2.  A model-based analysis of microarray experimental error and normalisation.

Authors:  Yongxiang Fang; Andrew Brass; David C Hoyle; Andrew Hayes; Abdulla Bashein; Stephen G Oliver; David Waddington; Magnus Rattray
Journal:  Nucleic Acids Res       Date:  2003-08-15       Impact factor: 16.971

3.  The use of real-time reverse transcriptase PCR for the quantification of cytokine gene expression.

Authors:  L Overbergh; A Giulietti; D Valckx; R Decallonne; R Bouillon; C Mathieu
Journal:  J Biomol Tech       Date:  2003-03

4.  Standardized determination of real-time PCR efficiency from a single reaction set-up.

Authors:  Ales Tichopad; Michael Dilger; Gerhard Schwarz; Michael W Pfaffl
Journal:  Nucleic Acids Res       Date:  2003-10-15       Impact factor: 16.971

5.  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

6.  Discovery and characterization of novel microRNAs during endothelial differentiation of human embryonic stem cells.

Authors:  Jung Ki Yoo; Jumi Kim; Seong-Jun Choi; Hye Min Noh; Young Do Kwon; Hanna Yoo; Hyo Seon Yi; Hyung Min Chung; Jin Kyeoung Kim
Journal:  Stem Cells Dev       Date:  2012-02-07       Impact factor: 3.272

7.  Validation of reference genes for gene expression studies in peanut by quantitative real-time RT-PCR.

Authors:  Xiaoyuan Chi; Ruibo Hu; Qingli Yang; Xiaowen Zhang; Lijuan Pan; Na Chen; Mingna Chen; Zhen Yang; Tong Wang; Yanan He; Shanlin Yu
Journal:  Mol Genet Genomics       Date:  2011-12-28       Impact factor: 3.291

8.  Glutamate receptor subunit expression in the rhesus macaque locus coeruleus.

Authors:  Nigel C Noriega; Vasilios T Garyfallou; Steven G Kohama; Henryk F Urbanski
Journal:  Brain Res       Date:  2007-08-09       Impact factor: 3.252

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.  Monitoring minimal residual disease in leukemia using real-time quantitative polymerase chain reaction for Wilms tumor gene (WT1).

Authors:  Hiroya Tamaki; Machiko Mishima; Manabu Kawakami; Akihiro Tsuboi; Eui Ho Kim; Naoki Hosen; Kazuhiro Ikegame; Masaki Murakami; Tatsuya Fujioka; Tomoki Masuda; Yuki Taniguchi; Sumiyuki Nishida; Kazuoki Osumi; Toshihiro Soma; Yusuke Oji; Yoshihiro Oka; Ichiro Kawase; Haruo Sugiyama; Hiroyasu Ogawa
Journal:  Int J Hematol       Date:  2003-11       Impact factor: 2.490

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