Reference genes for real-time PCR quantification of messenger RNAs and microRNAs in mouse model of obesity.

Petra Matoušková, Hana Bártíková, Iva Boušová, Veronika Hanušová, Barbora Szotáková, Lenka Skálová
Author Information
  1. Petra Matoušková: Department of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
  2. Hana Bártíková: Department of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
  3. Iva Boušová: Department of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
  4. Veronika Hanušová: Department of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic ; Department of Medical Biology and Genetics, Charles University in Prague, Faculty of Medicine, Hradec Králové, Czech Republic.
  5. Barbora Szotáková: Department of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
  6. Lenka Skálová: Department of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.

Abstract

Obesity and metabolic syndrome is increasing health problem worldwide. Among other ways, nutritional intervention using phytochemicals is important method for treatment and prevention of this disease. Recent studies have shown that certain phytochemicals could alter the expression of specific genes and microRNAs (miRNAs) that play a fundamental role in the pathogenesis of obesity. For study of the obesity and its treatment, monosodium glutamate (MSG)-injected mice with developed central obesity, insulin resistance and liver lipid accumulation are frequently used animal models. To understand the mechanism of phytochemicals action in obese animals, the study of selected genes expression together with miRNA quantification is extremely important. For this purpose, real-time quantitative PCR is a sensitive and reproducible method, but it depends on proper normalization entirely. The aim of present study was to identify the appropriate reference genes for mRNA and miRNA quantification in MSG mice treated with green tea catechins, potential anti-obesity phytochemicals. Two sets of reference genes were tested: first set contained seven commonly used genes for normalization of messenger RNA, the second set of candidate reference genes included ten small RNAs for normalization of miRNA. The expression stability of these reference genes were tested upon treatment of mice with catechins using geNorm, NormFinder and BestKeeper algorithms. Selected normalizers for mRNA quantification were tested and validated on expression of
NAD(P)H: quinone oxidoreductase, biotransformation enzyme known to be modified by catechins. The effect of selected normalizers for miRNA quantification was tested on two obesity- and diabetes- related miRNAs, miR-221 and miR-29b, respectively. Finally, the combinations of B2M/18S/HPRT1 and miR-16/sno234 were validated as optimal reference genes for mRNA and miRNA quantification in liver and 18S/RPlP0/HPRT1 and sno234/miR-186 in small intestine of MSG mice. These reference genes will be used for mRNA and miRNA normalization in further study of green tea catechins action in obese mice.

References

  1. Basic Clin Pharmacol Toxicol. 2011 Jun;108(6):406-13 [PMID: 21205225]
  2. Genome Biol. 2009;10(6):R64 [PMID: 19531210]
  3. Nucleic Acids Res. 2007 Jul;35(Web Server issue):W43-6 [PMID: 17452344]
  4. PLoS One. 2012;7(5):e36323 [PMID: 22563491]
  5. Nat Protoc. 2006;1(3):1559-82 [PMID: 17406449]
  6. Anal Biochem. 2010 Apr 15;399(2):211-7 [PMID: 20036209]
  7. J Nutr Biochem. 2010 Feb;21(2):140-6 [PMID: 19269153]
  8. Nucleic Acids Res. 2005 Nov 27;33(20):e179 [PMID: 16314309]
  9. J Autoimmun. 2008 Feb-Mar;30(1-2):42-50 [PMID: 18178378]
  10. Expert Opin Drug Metab Toxicol. 2012 Jun;8(6):677-89 [PMID: 22509899]
  11. Am J Physiol Endocrinol Metab. 2009 Nov;297(5):E1179-86 [PMID: 19724016]
  12. J Nutr. 2010 Aug;140(8):1404-10 [PMID: 20554899]
  13. J Biol Chem. 2008 Aug 22;283(34):23473-84 [PMID: 18556655]
  14. J Transl Med. 2011 Oct 14;9:176 [PMID: 21999347]
  15. Cancer Res. 2004 Aug 1;64(15):5245-50 [PMID: 15289330]
  16. Clin Chem. 2009 Apr;55(4):611-22 [PMID: 19246619]
  17. BMC Mol Biol. 2008 Aug 21;9:76 [PMID: 18718003]
  18. Genome Biol. 2002 Jun 18;3(7):RESEARCH0034 [PMID: 12184808]
  19. Mol Cancer Ther. 2008 Mar;7(3):464-73 [PMID: 18347134]
  20. RNA. 2006 Sep;12(9):1626-32 [PMID: 16870994]
  21. Sex Dev. 2009;3(4):194-204 [PMID: 19752599]
  22. Genome Biol. 2007;8(2):R19 [PMID: 17291332]
  23. Nucleic Acids Res. 2008 Jan;36(Database issue):D154-8 [PMID: 17991681]
  24. Nat Protoc. 2008;3(6):1101-8 [PMID: 18546601]
  25. Nucleic Acids Res. 2012 Aug;40(15):e115 [PMID: 22730293]
  26. Diabetologia. 2012 Jun;55(6):1836-46 [PMID: 22415589]
  27. Expert Opin Ther Targets. 2009 Oct;13(10):1227-38 [PMID: 19650761]
  28. Mol Biotechnol. 2013 Jul;54(3):930-8 [PMID: 23292893]
  29. Genes Immun. 2005 Jun;6(4):279-84 [PMID: 15815687]
  30. Biotechnol Lett. 2004 Mar;26(6):509-15 [PMID: 15127793]
  31. J Biochem Biophys Methods. 2000 Nov 20;46(1-2):69-81 [PMID: 11086195]
  32. Toxicol Appl Pharmacol. 2007 Nov 1;224(3):265-73 [PMID: 17234229]
  33. Cell. 2009 Jan 23;136(2):215-33 [PMID: 19167326]
  34. Mol Endocrinol. 2007 Nov;21(11):2785-94 [PMID: 17652184]
  35. Mol Biotechnol. 2011 Jul;48(3):255-62 [PMID: 21184202]
  36. Diabetes. 2009 May;58(5):1050-7 [PMID: 19188425]
  37. RNA. 2009 Mar;15(3):493-501 [PMID: 19176604]
  38. Biochemistry (Mosc). 2013 Jun;78(6):638-50 [PMID: 23980890]
  39. Eur J Pharmacol. 2011 Jul 15;662(1-3):1-8 [PMID: 21549692]
  40. PLoS One. 2012;7(8):e41659 [PMID: 22927912]
  41. Angiology. 2004 Nov-Dec;55(6):589-612 [PMID: 15547646]
  42. Anal Biochem. 2001 Jan 1;288(1):99-102 [PMID: 11141312]
  43. RNA. 2008 May;14(5):844-52 [PMID: 18375788]
  44. Science. 2003 Feb 7;299(5608):859-60 [PMID: 12574620]
  45. Regul Pept. 2011 Jan 17;166(1-3):98-104 [PMID: 20851150]
  46. Pharmacol Res. 2011 Aug;64(2):146-54 [PMID: 21193040]
  47. Exp Anim. 2006 Apr;55(2):109-15 [PMID: 16651693]
  48. Eur J Pharmacol. 2008 Dec 3;599(1-3):152-8 [PMID: 18930730]
  49. Mol Nutr Food Res. 2006 Feb;50(2):176-87 [PMID: 16470636]

MeSH Term

Algorithms
Animals
Disease Models, Animal
Gene Expression Profiling
Gene Expression Regulation
Genes
Male
Mice
MicroRNAs
Obesity
RNA, Messenger
Real-Time Polymerase Chain Reaction
Reference Standards
Reproducibility of Results
Software

Chemicals

MicroRNAs
RNA, Messenger

Word Cloud

Similar Articles

Cited By