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

Background: Progression through mammalian embryogenesis involves many interacting cell types and multiple differentiating cell lineages. Quantitative polymerase chain reaction (qPCR) analysis of gene expression in the developing embryo is a valuable tool for deciphering these processes, but normalis...

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Autores principales: Hildyard, John C.W., Wells, Dominic J., Piercy, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024131/
https://www.ncbi.nlm.nih.gov/pubmed/35509373
http://dx.doi.org/10.12688/wellcomeopenres.16972.2
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author Hildyard, John C.W.
Wells, Dominic J.
Piercy, Richard J.
author_facet Hildyard, John C.W.
Wells, Dominic J.
Piercy, Richard J.
author_sort Hildyard, John C.W.
collection PubMed
description Background: Progression through mammalian embryogenesis involves many interacting cell types and multiple differentiating cell lineages. Quantitative polymerase chain reaction (qPCR) analysis of gene expression in the developing embryo is a valuable tool for deciphering these processes, but normalisation to stably-expressed reference genes is essential for such analyses. Gene expression patterns change globally and dramatically as embryonic development proceeds, rendering identification of consistently appropriate reference genes challenging. Methods: 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 the head and forelimb specifically, 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). Results: Unexpectedly, all methods suggest that many genes within our candidate panel are acceptable references, though AP3D1, RPL13A and PAK1IP1 are the strongest performing genes overall (scoring highly in whole embryos, heads or forelimbs alone, and in all samples collectively). HPRT1 and B2M are conversely poor choices, and show strong developmental regulation. We further show that normalisation using our three highest-scoring references can reveal subtle patterns of developmental expression even in genes ostensibly ranked as acceptably stable ( CDC40, HTATSF1). Conclusion: AP3D1, RPL13A and PAK1IP1 represent universally suitable reference genes for expression studies in the E11.5-E18.5 mouse embryo.
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spelling pubmed-90241312022-05-03 Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo Hildyard, John C.W. Wells, Dominic J. Piercy, Richard J. Wellcome Open Res Research Article Background: Progression through mammalian embryogenesis involves many interacting cell types and multiple differentiating cell lineages. Quantitative polymerase chain reaction (qPCR) analysis of gene expression in the developing embryo is a valuable tool for deciphering these processes, but normalisation to stably-expressed reference genes is essential for such analyses. Gene expression patterns change globally and dramatically as embryonic development proceeds, rendering identification of consistently appropriate reference genes challenging. Methods: 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 the head and forelimb specifically, 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). Results: Unexpectedly, all methods suggest that many genes within our candidate panel are acceptable references, though AP3D1, RPL13A and PAK1IP1 are the strongest performing genes overall (scoring highly in whole embryos, heads or forelimbs alone, and in all samples collectively). HPRT1 and B2M are conversely poor choices, and show strong developmental regulation. We further show that normalisation using our three highest-scoring references can reveal subtle patterns of developmental expression even in genes ostensibly ranked as acceptably stable ( CDC40, HTATSF1). Conclusion: AP3D1, RPL13A and PAK1IP1 represent universally suitable reference genes for expression studies in the E11.5-E18.5 mouse embryo. F1000 Research Limited 2022-09-21 /pmc/articles/PMC9024131/ /pubmed/35509373 http://dx.doi.org/10.12688/wellcomeopenres.16972.2 Text en Copyright: © 2022 Hildyard JCW et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hildyard, John C.W.
Wells, Dominic J.
Piercy, Richard J.
Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo
title Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo
title_full Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo
title_fullStr Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo
title_full_unstemmed Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo
title_short Identification of qPCR reference genes suitable for normalising gene expression in the developing mouse embryo
title_sort identification of qpcr reference genes suitable for normalising gene expression in the developing mouse embryo
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024131/
https://www.ncbi.nlm.nih.gov/pubmed/35509373
http://dx.doi.org/10.12688/wellcomeopenres.16972.2
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