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Identification of robust cardiac reference genes in a mouse model of cardiometabolic disease

Identification of robust cardiac reference genes in a mouse model of cardiometabolic disease
Identification of robust cardiac reference genes in a mouse model of cardiometabolic disease
Cardiovascular disease is linked to obesity, the metabolic syndrome, and altered 24hour (circadian) rhythms.
Although the underlying mechanisms remain undefined, transcriptome analysis in the heart is beginning to provide
important insights into the cardiometabolic pathogenesis. The reliability and accuracy of real-time quantitative PCR
generated gene expression data is largely dependent on the selection of suitable reference genes (RG), which must be
constitutively expressed regardless of cardio-metabolic disease state and time of day. However, many studies do not
employ the appropriate selections strategies. In this study we determined the expression stability of seven candidate
RGs (GAPDH, YWHAZ, B2M, EIF4A2, ATP5?, ACTB and CYC1) in a mouse model of diet-induced metabolic syndrome
in both the day and night, using geNorm qBasePLUS software. RG expression varied in hearts of normal fed versus
high fat fed mice, and was also dependant on the time of day. When all experimental variables were considered
YWHAZ and ACTB were ranked the most stable and therefore the most suitable genes for generating comparative
gene expression data in heart tissue from murine models of cardiometabolic disease. This study provides important
information for reference gene selection, and will aid further transcriptome investigations into heart organ function
Bruce, Kimberley D.
2065fe20-0e9e-4f1a-8463-71b832776fa1
Stokes, Aaron
fbc188f9-5914-4c4e-bdc1-c487baa32045
Patel, Nikesh R.
1713fc63-6e1f-4657-9d73-69a32cf4b1a3
Hyde, Kerry
80c71c1c-d336-43f9-a7d5-870cc8a09845
Sadek, Khaled H.
b8cd4714-b1f3-41ac-8df2-6e37b255dcb9
Hanson, Mark A.
1952fad1-abc7-4284-a0bc-a7eb31f70a3f
Byrne, Christopher D.
1370b997-cead-4229-83a7-53301ed2a43c
Cagampang, Felino R.
7cf57d52-4a65-4554-8306-ed65226bc50e
Bruce, Kimberley D.
2065fe20-0e9e-4f1a-8463-71b832776fa1
Stokes, Aaron
fbc188f9-5914-4c4e-bdc1-c487baa32045
Patel, Nikesh R.
1713fc63-6e1f-4657-9d73-69a32cf4b1a3
Hyde, Kerry
80c71c1c-d336-43f9-a7d5-870cc8a09845
Sadek, Khaled H.
b8cd4714-b1f3-41ac-8df2-6e37b255dcb9
Hanson, Mark A.
1952fad1-abc7-4284-a0bc-a7eb31f70a3f
Byrne, Christopher D.
1370b997-cead-4229-83a7-53301ed2a43c
Cagampang, Felino R.
7cf57d52-4a65-4554-8306-ed65226bc50e

Bruce, Kimberley D., Stokes, Aaron, Patel, Nikesh R., Hyde, Kerry, Sadek, Khaled H., Hanson, Mark A., Byrne, Christopher D. and Cagampang, Felino R. (2011) Identification of robust cardiac reference genes in a mouse model of cardiometabolic disease. Journal of Clinical and Experimental Cardiology, 10 (2). (doi:10.4172/2155-9880.1000161).

Record type: Article

Abstract

Cardiovascular disease is linked to obesity, the metabolic syndrome, and altered 24hour (circadian) rhythms.
Although the underlying mechanisms remain undefined, transcriptome analysis in the heart is beginning to provide
important insights into the cardiometabolic pathogenesis. The reliability and accuracy of real-time quantitative PCR
generated gene expression data is largely dependent on the selection of suitable reference genes (RG), which must be
constitutively expressed regardless of cardio-metabolic disease state and time of day. However, many studies do not
employ the appropriate selections strategies. In this study we determined the expression stability of seven candidate
RGs (GAPDH, YWHAZ, B2M, EIF4A2, ATP5?, ACTB and CYC1) in a mouse model of diet-induced metabolic syndrome
in both the day and night, using geNorm qBasePLUS software. RG expression varied in hearts of normal fed versus
high fat fed mice, and was also dependant on the time of day. When all experimental variables were considered
YWHAZ and ACTB were ranked the most stable and therefore the most suitable genes for generating comparative
gene expression data in heart tissue from murine models of cardiometabolic disease. This study provides important
information for reference gene selection, and will aid further transcriptome investigations into heart organ function

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Published date: 15 November 2011
Organisations: Faculty of Medicine

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Local EPrints ID: 208841
URI: https://eprints.soton.ac.uk/id/eprint/208841
PURE UUID: 724dfcb2-93c8-46d7-9b53-88f1434c99ce
ORCID for Mark A. Hanson: ORCID iD orcid.org/0000-0002-6907-613X
ORCID for Christopher D. Byrne: ORCID iD orcid.org/0000-0001-6322-7753
ORCID for Felino R. Cagampang: ORCID iD orcid.org/0000-0003-4404-9853

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Date deposited: 25 Jan 2012 11:30
Last modified: 11 Dec 2018 01:35

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Contributors

Author: Kimberley D. Bruce
Author: Aaron Stokes
Author: Nikesh R. Patel
Author: Kerry Hyde
Author: Khaled H. Sadek
Author: Mark A. Hanson ORCID iD

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