Evaluation of reference genes for studies of gene expression in the bovine liver, kidney, pituitary, and thyroid |
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Authors: | Paweł Lisowski Mariusz Pierzchała Joanna Gościk Chandra S. Pareek Lech Zwierzchowski |
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Affiliation: | 1. Department of Molecular Biology, Institute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrz?biec, Post?pu 1, 05-552, Wólka Kosowska 2. Department of Animal Immunogenetics, Institute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrz?biec, Poland 3. Department of Software Engineering, Faculty of Computer Science, Bia?ystok Technical University, Bia?ystok, Poland 4. Department of Animal Genetics, University of Warmia and Mazury, Olsztyn, Poland 5. Laboratory of Functional Genomics, Faculty of Biology and Earth Sciences, Institute of General and Molecular Biology, Nicolaus Copernicus University, Torun, Poland
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Abstract: | Expression patterns of candidate genes with important functions in animal metabolism can help to identify potential molecular markers for cattle production traits. Reverse transcription followed by polymerase chain reaction is a method for rapid and accurate mRNA quantification. However, for exact comparison of mRNA quantity in various samples or tissues, it is important to choose appropriate reference genes. In cattle, little information is available on the expression stability of housekeeping genes (HKGs). The aim of the present study is to develop a set of reference genes that can be used for normalization of concentrations of mRNAs of genes expressed in the bovine liver, kidney, pituitary and thyroid. The study was performed on 6-, 9-, and 12-month-old bulls of dairy and meat cattle breeds. Six HKGs were investigated:ACTB, GAPDH, HPRTI, SDHA, TBP, andYWHAZ. The most stably expressed potential reference HKGs differed among tissues/organs examined:ACTB, TBP, YWHAZ, GAPDH, HPR TI, andSDHA in the liver;GAPDH andYWHAZ in the kidney;GAPDH andSDHA in the pituitary; andTBP andHPRTI in the thyroid. The results showed that the use of a single gene fornormalization may lead to relatively large errors, so it is important to use multiple control genes based on a survey of potential reference genes applied to representative samples from specific experimental conditions. |
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