Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo

Abstract

Mammalian embryogenesis is an intricate, tightly orchestrated process. Progression from zygote through somitogenesis and on to organogenesis and maturity involves many interacting cell types and multiple differentiating cell lineages. Quantitative PCR analysis of gene expression in the developing embryo is a valuable tool for deciphering these interactions and tracing lineages, but normalisation of qPCR data to stably expressed reference genes is essential. Patterns of gene expression change globally and dramatically as embryonic development proceeds, rendering identification of appropriate reference genes challenging at both the whole embryo- and individual tissue-level. We have investigated expression stability in mouse embryos from mid to late gestation (E11.5-E18.5), both at the whole-embryo level, and within more restricted tissue domains (head, developing forelimb), using 15 candidate reference genes (ACTB, 18S, SDHA, GAPDH, HTATSF1, CDC40, RPL13A, CSNK2A2, AP3D1, HPRT1, CYC1, EIF4A, UBC, B2M and PAK1IP1), and four complementary algorithms (geNorm, Normfinder, Bestkeeper and deltaCt). Unexpectedly, all methods suggest that many genes within our candidate panel are acceptable references, and despite disagreement over highest-scoring candidates, AP3D1, RPL14A and PAK1IP1 are the strongest performing genes overall. Conversely, HPRT1 and B2M are consistently poor choices: these genes show strong developmental regulation. We further show that use of AP3D1, RPL13A and PAK1IP1 can reveal subtle patterns of developmental expression even in genes ostensibly ranked as acceptable (CDC40, HTATSF1), and thus these three represent universally suitable reference genes for the mouse embryo.