Identification of reference genes suitable for RT-qPCR studies of murine gastrulation and patterning

Barratt, Kristen S., Diamand, Koula E.M., and Arkell, Ruth M. (2018) Identification of reference genes suitable for RT-qPCR studies of murine gastrulation and patterning. Mammalian Genome, 29. pp. 656-662.

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Quantitative reverse transcriptase PCR (RT-qPCR), a powerful and efficient means of rapidly comparing gene expression between experimental conditions, is routinely used as a phenotyping tool in developmental biology. The accurate comparison of gene expression across multiple embryonic stages requires normalisation to reference genes that have stable expression across the time points to be examined. As the embryo and its constituent tissues undergo rapid growth and differentiation during development, reference genes known to be stable across some time points cannot be assumed to be stable across all developmental stages. The immediate post-implantation events of gastrulation and patterning are characterised by a rapid expansion in cell number and increasing specialisation of cells. The optimal reference genes for comparative gene expression studies at these specific stages have not been experimentally identified. In this study, the expression of five commonly used reference genes (H2afz, Ubc, Actb, Tbp and Gapdh) was measured across murine gastrulation and patterning (6.5–9.5 dpc) and analysed with the normalisation tools geNorm, Bestkeeper and Normfinder. The results, validated by RT-qPCR analysis of two genes with well-documented expression patterns across these stages, indicated the best strategy for RT-qPCR studies spanning murine gastrulation and patterning utilises the concurrent reference genes H2afz and Ubc.

Item ID: 81349
Item Type: Article (Research - C1)
ISSN: 1432-1777
Copyright Information: © Springer Science+Business Media, LLC, part of Springer Nature 2018
Funders: National Health and Medical Research Council (NHMRC)
Projects and Grants: NHMRC Grant 1126288
Date Deposited: 20 Mar 2024 04:14
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3208 Medical physiology > 320801 Cell physiology @ 100%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280103 Expanding knowledge in the biomedical and clinical sciences @ 100%
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