Literature DB >> 33386589

Identification and validation of suitable reference genes for quantitative real-time PCR gene expression analysis in pregnant human myometrium.

Sarah Arrowsmith1.   

Abstract

Accurate quantification of quantitative PCR (qPCR) data requires a set of stable reference genes (RGs) for normalisation. Despite its importance to mechanistic studies, no evaluation of RG stability has been conducted for pregnant human myometrium. A systematic search of the literature was performed to identify the most used RGs in human myometrial gene expression studies. The stability of these genes, and others, was then evaluated using geNorm and NormFinder algorithms, in samples of myometrium from singleton or twin pregnancies (n = 7 per group) delivering at term or preterm. The most frequently cited RGs were GAPDH, ACTB, B2M and 18s. There was strong agreement between algorithms on the most and least stable genes: Both indicated CYC1, YWHAZ and ATP5B were the most stably expressed. Despite being some of the most used RGs, B2M, 18s and ACTB expression was least stable and was too variable for use as accurate normalisation factors. Pairwise variation analysis determined that the optimal number of RGs for accurate normalisation is two. Validation of the choice of RGs by comparing relative expression of oxytocin receptors (OXTR) using the least stable 18s and B2M, with the most stable, CYC1 and YWHAZ, erroneously demonstrated significantly increased OXTR expression in myometrium in singleton pregnancies compared to twins. This study demonstrates the importance of appropriate RG selection for accurate quantification of relative expression in pregnant human myometrium qPCR studies. For normalisation, the geometric mean of CYC1 and YWHAZ or ATP5B is suggested. The use of ACTB, 18s and B2M, is not recommended.

Entities:  

Keywords:  Expression stability; Myometrium; NormFinder; Oxytocin receptor; Reference genes; geNorm; qPCR

Mesh:

Substances:

Year:  2021        PMID: 33386589      PMCID: PMC7884357          DOI: 10.1007/s11033-020-06066-2

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  23 in total

Review 1.  A decade of improvements in quantification of gene expression and internal standard selection.

Authors:  Olivier Thellin; Benaissa ElMoualij; Ernst Heinen; Willy Zorzi
Journal:  Biotechnol Adv       Date:  2009 Jul-Aug       Impact factor: 14.227

2.  The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.

Authors:  Stephen A Bustin; Vladimir Benes; Jeremy A Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory L Shipley; Jo Vandesompele; Carl T Wittwer
Journal:  Clin Chem       Date:  2009-02-26       Impact factor: 8.327

Review 3.  Twenty-five years of quantitative PCR for gene expression analysis.

Authors:  Heather D VanGuilder; Kent E Vrana; Willard M Freeman
Journal:  Biotechniques       Date:  2008-04       Impact factor: 1.993

4.  A high-throughput open-array qPCR gene panel to identify housekeeping genes suitable for myometrium and leiomyoma expression analysis.

Authors:  Teresa A Almeida; Antonieta Quispe-Ricalde; Francisco Montes de Oca; Pilar Foronda; Mariano M Hernández
Journal:  Gynecol Oncol       Date:  2014-04-24       Impact factor: 5.482

5.  Quantitative real-time reverse transcription polymerase chain reaction: normalization to rRNA or single housekeeping genes is inappropriate for human tissue biopsies.

Authors:  Carmela Tricarico; Pamela Pinzani; Simonetta Bianchi; Milena Paglierani; Vito Distante; Mario Pazzagli; Stephen A Bustin; Claudio Orlando
Journal:  Anal Biochem       Date:  2002-10-15       Impact factor: 3.365

6.  Housekeeping genes as internal standards: use and limits.

Authors:  O Thellin; W Zorzi; B Lakaye; B De Borman; B Coumans; G Hennen; T Grisar; A Igout; E Heinen
Journal:  J Biotechnol       Date:  1999-10-08       Impact factor: 3.307

7.  Beta-actin--an unsuitable internal control for RT-PCR.

Authors:  S Selvey; E W Thompson; K Matthaei; R A Lea; M G Irving; L R Griffiths
Journal:  Mol Cell Probes       Date:  2001-10       Impact factor: 2.365

Review 8.  Control selection for RNA quantitation.

Authors:  T Suzuki; P J Higgins; D R Crawford
Journal:  Biotechniques       Date:  2000-08       Impact factor: 1.993

9.  An RNA spiking method demonstrates that 18S rRNA is regulated by progesterone in the mouse uterus.

Authors:  R G Craythorn; J E Girling; M P Hedger; P A W Rogers; W R Winnall
Journal:  Mol Hum Reprod       Date:  2009-07-14       Impact factor: 4.025

10.  Estrogen modulates expression of putative housekeeping genes in the mouse uterus.

Authors:  Amy L Schroder; Katherine E Pelch; Susan C Nagel
Journal:  Endocrine       Date:  2009-02-14       Impact factor: 3.633

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