Identification of stable reference genes for quantitative PCR in koalas
Sarker, N., Fabijan, J., Emes, R.D., Hemmatzadeh, F., Meers, J., Moreton, J., Owen, H., Seddon, J.M., Simmons, G., Speight, N., Trott, D., Woolford, L., and Tarlinton, R.E. (2018) Identification of stable reference genes for quantitative PCR in koalas. Scientific Reports, 8 (1). 3364.
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Abstract
To better understand host and immune response to diseases, gene expression studies require identification of reference genes with stable expression for accurate normalisation. This study describes the identification and testing of reference genes with stable expression profiles in koala lymph node tissues across two genetically distinct koala populations. From the 25 most stable genes identified in transcriptome analysis, 11 genes were selected for verification using reverse transcription quantitative PCR, in addition to the commonly used ACTB and GAPDH genes. The expression data were analysed using stable genes statistical software - geNorm, BestKeeper, NormFinder, the comparative ΔCt method and RefFinder. All 13 genes showed relative stability in expression in koala lymph node tissues, however Tmem97 and Hmg20a were identified as the most stable genes across the two koala populations.
| Item ID: | 78724 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 2045-2322 |
| Copyright Information: | Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2018 |
| Date Deposited: | 24 Mar 2025 02:00 |
| FoR Codes: | 31 BIOLOGICAL SCIENCES > 3105 Genetics > 310509 Genomics @ 50% 31 BIOLOGICAL SCIENCES > 3107 Microbiology > 310706 Virology @ 50% |
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