Literature DB >> 21364583

Choosing a stable housekeeping gene and protein is essential in generating valid gene and protein expression results.

M Sullivan-Gunn, E Hinch, V Vaughan, P Lewandowski.   

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Year:  2011        PMID: 21364583      PMCID: PMC3065275          DOI: 10.1038/bjc.2011.35

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


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Sir, We have read and support the concerns of Caradec in the British Journal of Cancer regarding the stability of GAPDH as an internal control gene that was used in the recent study by Kontos to normalise L-DOPA decarboxylase mRNA as a prognostic marker in colorectal adenocarcinoma. We too have recently found variance in protein and gene expression of the commonly used housekeeping genes, GAPDH and ribosomal 18s, in the hearts of colon adenocarcinoma-bearing mice. Although differences in GAPDH mRNA were not statistically significant, results show some variation in GAPDH protein levels between murine adenocarcinoma (MAC) models of tumour-bearing cachectic (MAC16) and non-cachectic mice (MAC13; P=0.05). We have also found significant variation in the gene expression of ribosomal 18s in the hearts of these two MAC cancer models (P<0.001) and in each cancer model compared with non-tumour-bearing control mice (P=0.004; P<0.001). Further to this, variations in ribosomal 18s expression were observed at different stages of cancer development in the hearts of MAC13 tumour-bearing mice compared with control mice. Ribosomal 18s gene expression in the hearts of MAC13 tumour-bearing mice showed significant differences at days 12 (P=0.011) and 21 (P=0.047), when compared with day 29 after implantation. Although still widely used as housekeeping genes, GAPDH and ribosomal 18s expression levels have been shown to vary under different experimental conditions (Mahoney ; De Santis ; Nelissen ), and disease states (Mahoney ; De Santis ; Nelissen ) showed GAPDH to be highly variable in cancerous compared with non-cancerous tissue. Nelissen recently described GAPDH and ribosomal 18s as the most unstable housekeeping genes under different experimental conditions in qPCR experiments with rat oligodendrocytes. The use of variable housekeeping genes as normalisers will lead to misinterpretation and irrelevant results. Thoughtful consideration as well as evaluation of a valid housekeeping gene that is ubiquitously expressed and stable across sample groups is absolutely necessary to obtain reliable gene expression results and eliminate misinterpretations. Alternatively, fluorescein-labeled oligonucleotides such as OliGreen (Invitrogen, Mulgrave, Victoria, Australia), which measures cDNA content in each sample, may be a more reliable reference for normalising protein and gene expression results (Lundby ; Rhinn ).
  7 in total

1.  Normalizing RT-qPCR data: are we getting the right answers? An appraisal of normalization approaches and internal reference genes from a case study in the finfish Lates calcarifer.

Authors:  Christian De Santis; Carolyn Smith-Keune; Dean R Jerry
Journal:  Mar Biotechnol (NY)       Date:  2010-03-23       Impact factor: 3.619

2.  Gene expression in human skeletal muscle: alternative normalization method and effect of repeated biopsies.

Authors:  Carsten Lundby; Nikolai Nordsborg; Keiko Kusuhara; Kristina Møller Kristensen; P Darrell Neufer; Henriette Pilegaard
Journal:  Eur J Appl Physiol       Date:  2005-10-27       Impact factor: 3.078

3.  One-step quantification of single-stranded DNA in the presence of RNA using Oligreen in a real-time polymerase chain reaction thermocycler.

Authors:  Hervé Rhinn; Daniel Scherman; Virginie Escriou
Journal:  Anal Biochem       Date:  2007-08-23       Impact factor: 3.365

4.  Quantitative expression analysis and prognostic significance of L-DOPA decarboxylase in colorectal adenocarcinoma.

Authors:  C K Kontos; I N Papadopoulos; E G Fragoulis; A Scorilas
Journal:  Br J Cancer       Date:  2010-04-27       Impact factor: 7.640

5.  Real-time RT-PCR analysis of housekeeping genes in human skeletal muscle following acute exercise.

Authors:  Douglas J Mahoney; Kate Carey; Ming-Hua Fu; Rodney Snow; David Cameron-Smith; Gianni Parise; Mark A Tarnopolsky
Journal:  Physiol Genomics       Date:  2004-07-08       Impact factor: 3.107

6.  Selection of reference genes for gene expression studies in rat oligodendrocytes using quantitative real time PCR.

Authors:  Katherine Nelissen; Karen Smeets; Monique Mulder; Jerome J A Hendriks; Marcel Ameloot
Journal:  J Neurosci Methods       Date:  2009-12-29       Impact factor: 2.390

7.  Is GAPDH a relevant housekeeping gene for normalisation in colorectal cancer experiments?

Authors:  J Caradec; N Sirab; D Revaud; C Keumeugni; S Loric
Journal:  Br J Cancer       Date:  2010-09-21       Impact factor: 7.640

  7 in total
  9 in total

1.  Comparative Proteomics Analysis of Human Liver Microsomes and S9 Fractions.

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2.  Forms of n-3 (ALA, C18:3n-3 or DHA, C22:6n-3) Fatty Acids Affect Carcass Yield, Blood Lipids, Muscle n-3 Fatty Acids and Liver Gene Expression in Lambs.

Authors:  Eric N Ponnampalam; Paul A Lewandowski; Fahri T Fahri; Viv F Burnett; Frank R Dunshea; Tim Plozza; Joe L Jacobs
Journal:  Lipids       Date:  2015-09-22       Impact factor: 1.880

3.  Evaluation of reference genes for quantitative PCR analysis of mouse lymphocytes.

Authors:  Tina C Albershardt; Brian M Iritani; Alanna Ruddell
Journal:  J Immunol Methods       Date:  2012-08-04       Impact factor: 2.303

4.  Eicosapentaenoic acid and oxypurinol in the treatment of muscle wasting in a mouse model of cancer cachexia.

Authors:  Vanessa C Vaughan; Melanie Sullivan-Gunn; Edward Hinch; Peter Martin; Paul A Lewandowski
Journal:  PLoS One       Date:  2012-09-20       Impact factor: 3.240

5.  A novel procedure for absolute real-time quantification of gene expression patterns.

Authors:  Yingqing Lu; Lulu Xie; Jiani Chen
Journal:  Plant Methods       Date:  2012-03-09       Impact factor: 4.993

6.  The effect of short-term canola oil ingestion on oxidative stress in the vasculature of stroke-prone spontaneously hypertensive rats.

Authors:  Annateresa Papazzo; Xavier Conlan; Louise Lexis; Paul Lewandowski
Journal:  Lipids Health Dis       Date:  2011-10-17       Impact factor: 3.876

7.  Validation of Common Housekeeping Genes as Reference for qPCR Gene Expression Analysis During iPS Reprogramming Process.

Authors:  Yulia Panina; Arno Germond; Shinji Masui; Tomonobu M Watanabe
Journal:  Sci Rep       Date:  2018-06-07       Impact factor: 4.379

8.  Selection and validation of reference genes for gene expression studies in Pseudomonas brassicacearum GS20 using real-time quantitative reverse transcription PCR.

Authors:  Bianxia Bai; Jiahong Ren; Fenling Bai; Lin Hao
Journal:  PLoS One       Date:  2020-01-27       Impact factor: 3.240

9.  Selection and stability validation of reference gene candidates for transcriptional analysis in Rousettus aegyptiacus.

Authors:  Virginia Friedrichs; Anne Balkema-Buschmann; Anca Dorhoi; Gang Pei
Journal:  Sci Rep       Date:  2021-11-04       Impact factor: 4.379

  9 in total

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