Literature DB >> 10837088

Mitochondrial ATP synthase 6 as an endogenous control in the quantitative RT-PCR analysis of clinical cancer samples.

C J Gerard1, L M Andrejka, R A Macina.   

Abstract

BACKGROUND: Real-time polymerase chain reaction (PCR) is a powerful new technique in the evolution of quantitative reverse transcription-PCR assays. With the increased sensitivity and resolution of real-time techniques, the requirements for constitutive expression of endogenous controls have become increasingly stringent. METHODS AND
RESULTS: We compare the expression of the mitochondrial gene, adenosine triphosphate synthase 6 (ATPsy6), to the expression of other routinely used endogenous control genes (e.g., beta-actin, glyceraldehyde-3-phosphate dehydrogenase [GAPDH], ribosomal RNA 18S [18S rRNA], and cyclophilin). In a diverse assortment of tissues and across a wide range of disease stages, ATPsy6 shows a relative steady state of expression compared with other endogenous controls. ATPsy6 gene expression has been used as an endogenous control in a quantitative real-time PCR assay designed to evaluate the expression of potential cancer diagnostic leads across a diverse tissue panel.
CONCLUSION: Mitochondrial ATPsy6 serves as a good endogenous control to measure target gene expression independent of the tissue- or disease-specific variation inherent with many housekeeping genes.

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Year:  2000        PMID: 10837088     DOI: 10.1007/bf03262021

Source DB:  PubMed          Journal:  Mol Diagn        ISSN: 1084-8592


  16 in total

1.  Control genes for reverse transcriptase/polymerase chain reaction (RT-PCR)

Authors:  J J Taylor; P A Heasman
Journal:  Br J Haematol       Date:  1994-02       Impact factor: 6.998

2.  Internal control for quality assurance of diagnostic RT-PCR.

Authors:  M Willhauck; S Vogel; U Keilholz
Journal:  Biotechniques       Date:  1998-10       Impact factor: 1.993

3.  Highly sensitive and specific fluorescence reverse transcription-PCR assay for the pseudogene-free detection of beta-actin transcripts as quantitative reference.

Authors:  K A Kreuzer; U Lass; O Landt; A Nitsche; J Laser; H Ellerbrok; G Pauli; D Huhn; C A Schmidt
Journal:  Clin Chem       Date:  1999-02       Impact factor: 8.327

4.  Processed pseudogenes interfere with reverse transcriptase-polymerase chain reaction controls.

Authors:  B Garbay; E Boue-Grabot; M Garret
Journal:  Anal Biochem       Date:  1996-05-15       Impact factor: 3.365

Review 5.  Problematic controls for reverse transcription polymerase chain reactions (RT-PCR): an issue revisited.

Authors:  V J Kidd
Journal:  Leukemia       Date:  1996-11       Impact factor: 11.528

6.  Real time quantitative PCR.

Authors:  C A Heid; J Stevens; K J Livak; P M Williams
Journal:  Genome Res       Date:  1996-10       Impact factor: 9.043

7.  Quantitative RT-PCR for measuring gene expression.

Authors:  M C Riedy; E A Timm; C C Stewart
Journal:  Biotechniques       Date:  1995-01       Impact factor: 1.993

8.  Appropriate controls for reverse transcription polymerase chain reaction (RT-PCR)

Authors:  N C Cross; F Lin; J M Goldman
Journal:  Br J Haematol       Date:  1994-05       Impact factor: 6.998

9.  Improved quantitation of minimal residual disease in multiple myeloma using real-time polymerase chain reaction and plasmid-DNA complementarity determining region III standards.

Authors:  C J Gerard; K Olsson; R Ramanathan; C Reading; E G Hanania
Journal:  Cancer Res       Date:  1998-09-01       Impact factor: 12.701

10.  Induction of cytoskeletal vimentin and actin gene expression by a tumor-promoting phorbol ester in the human leukemic cell line K562.

Authors:  P D Siebert; M Fukuda
Journal:  J Biol Chem       Date:  1985-03-25       Impact factor: 5.157

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  9 in total

1.  Age, gender and litter-related variation in T-lymphocyte cytokine production in young pigs.

Authors:  Johanna de Groot; Leo Kruijt; Jan Willem Scholten; Wim J A Boersma; Willem G Buist; Bas Engel; Cornelis G van Reenen
Journal:  Immunology       Date:  2005-08       Impact factor: 7.397

Review 2.  Reference genes for measuring mRNA expression.

Authors:  Jitesh Dundas; Maurice Ling
Journal:  Theory Biosci       Date:  2012-05-17       Impact factor: 1.919

3.  Regulation of indoleamine 2,3-dioxygenase expression in simian immunodeficiency virus-infected monkey brains.

Authors:  E M E Burudi; M Cecilia G Marcondes; Debbie D Watry; Michelle Zandonatti; Michael A Taffe; Howard S Fox
Journal:  J Virol       Date:  2002-12       Impact factor: 5.103

4.  Host response and dysfunction in the CNS during chronic simian immunodeficiency virus infection.

Authors:  Eleanor S Roberts; Salvador Huitron-Resendiz; Michael A Taffe; Maria Cecilia G Marcondes; Claudia T Flynn; Caroline M Lanigan; Jennifer A Hammond; Steven R Head; Steven J Henriksen; Howard S Fox
Journal:  J Neurosci       Date:  2006-04-26       Impact factor: 6.167

5.  Housekeeping genes as internal standards in cancer research.

Authors:  Nico Janssens; Michel Janicot; Tim Perera; Annette Bakker
Journal:  Mol Diagn       Date:  2004

6.  Cc RNase: the Ceratitis capitata ortholog of a novel highly conserved protein family in metazoans.

Authors:  Theodoros N Rampias; Diamantis C Sideris; Emmanuel G Fragoulis
Journal:  Nucleic Acids Res       Date:  2003-06-15       Impact factor: 16.971

7.  Expression of full-length p53 and its isoform Deltap53 in breast carcinomas in relation to mutation status and clinical parameters.

Authors:  Lars O Baumbusch; Simen Myhre; Anita Langerød; Anna Bergamaschi; Stephanie B Geisler; Per E Lønning; Wolfgang Deppert; Irene Dornreiter; Anne-Lise Børresen-Dale
Journal:  Mol Cancer       Date:  2006-10-20       Impact factor: 27.401

8.  The genomic landscape of Mongolian hepatocellular carcinoma.

Authors:  Julián Candia; Enkhjargal Bayarsaikhan; Mayank Tandon; Anuradha Budhu; Marshonna Forgues; Lkhagva-Ochir Tovuu; Undarmaa Tudev; Justin Lack; Ann Chao; Jigjidsuren Chinburen; Xin Wei Wang
Journal:  Nat Commun       Date:  2020-09-01       Impact factor: 14.919

Review 9.  Current Practices for Reference Gene Selection in RT-qPCR of Aspergillus: Outlook and Recommendations for the Future.

Authors:  Meagan Archer; Jianping Xu
Journal:  Genes (Basel)       Date:  2021-06-24       Impact factor: 4.096

  9 in total

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