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Selection of reference genes for quantitative real-time PCR in bovine preimplantation embryos

Identifieur interne : 000488 ( Pmc/Curation ); précédent : 000487; suivant : 000489

Selection of reference genes for quantitative real-time PCR in bovine preimplantation embryos

Auteurs : Karen Goossens [Belgique] ; Mario Van Poucke [Belgique] ; Ann Van Soom [Belgique] ; Jo Vandesompele [Belgique] ; Alex Van Zeveren [Belgique] ; Luc J. Peelman [Belgique]

Source :

RBID : PMC:1315359

Abstract

Background

Real-time quantitative PCR is a sensitive and very efficient technique to examine gene transcription patterns in preimplantation embryos, in order to gain information about embryo development and to optimize assisted reproductive technologies. Critical to the succesful application of real-time PCR is careful assay design, reaction optimization and validation to maximize sensitivity and accuracy. In most of the studies published GAPD, ACTB or 18S rRNA have been used as a single reference gene without prior verification of their expression stability. Normalization of the data using unstable controls can result in erroneous conclusions, especially when only one reference gene is used.

Results

In this study the transcription levels of 8 commonly used reference genes (ACTB, GAPD, Histone H2A, TBP, HPRT1, SDHA, YWHAZ and 18S rRNA) were determined at different preimplantation stages (2-cell, 8-cell, blastocyst and hatched blastocyst) in order to select the most stable genes to normalize quantitative data within different preimplantation embryo stages.

Conclusion

Using the geNorm application YWHAZ, GAPD and SDHA were found to be the most stable genes across the examined embryonic stages, while the commonly used ACTB was shown to be highly regulated. We recommend the use of the geometric mean of those 3 reference genes as an accurate normalization factor, which allows small expression differences to be reliably measured.


Url:
DOI: 10.1186/1471-213X-5-27
PubMed: 16324220
PubMed Central: 1315359

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<title>Background</title>
<p>Real-time quantitative PCR is a sensitive and very efficient technique to examine gene transcription patterns in preimplantation embryos, in order to gain information about embryo development and to optimize assisted reproductive technologies. Critical to the succesful application of real-time PCR is careful assay design, reaction optimization and validation to maximize sensitivity and accuracy. In most of the studies published
<italic>GAPD</italic>
,
<italic>ACTB </italic>
or
<italic>18S rRNA </italic>
have been used as a single reference gene without prior verification of their expression stability. Normalization of the data using unstable controls can result in erroneous conclusions, especially when only one reference gene is used.</p>
</sec>
<sec>
<title>Results</title>
<p>In this study the transcription levels of 8 commonly used reference genes (
<italic>ACTB</italic>
,
<italic>GAPD</italic>
,
<italic>Histone H2A</italic>
,
<italic>TBP</italic>
,
<italic>HPRT1</italic>
,
<italic>SDHA</italic>
,
<italic>YWHAZ </italic>
and
<italic>18S rRNA</italic>
) were determined at different preimplantation stages (2-cell, 8-cell, blastocyst and hatched blastocyst) in order to select the most stable genes to normalize quantitative data within different preimplantation embryo stages.</p>
</sec>
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<p>Using the geNorm application
<italic>YWHAZ</italic>
,
<italic>GAPD </italic>
and
<italic>SDHA </italic>
were found to be the most stable genes across the examined embryonic stages, while the commonly used
<italic>ACTB </italic>
was shown to be highly regulated. We recommend the use of the geometric mean of those 3 reference genes as an accurate normalization factor, which allows small expression differences to be reliably measured.</p>
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<publisher-loc>London</publisher-loc>
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<article-title>Selection of reference genes for quantitative real-time PCR in bovine preimplantation embryos</article-title>
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<name>
<surname>Goossens</surname>
<given-names>Karen</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<email>Karen.Goossens@UGent.be</email>
</contrib>
<contrib id="A2" contrib-type="author">
<name>
<surname>Van Poucke</surname>
<given-names>Mario</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<email>Mario.VanPoucke@UGent.be</email>
</contrib>
<contrib id="A3" contrib-type="author">
<name>
<surname>Van Soom</surname>
<given-names>Ann</given-names>
</name>
<xref ref-type="aff" rid="I2">2</xref>
<email>Ann.VanSoom@UGent.be</email>
</contrib>
<contrib id="A4" contrib-type="author">
<name>
<surname>Vandesompele</surname>
<given-names>Jo</given-names>
</name>
<xref ref-type="aff" rid="I3">3</xref>
<email>Joke.Vandesompele@UGent.be</email>
</contrib>
<contrib id="A5" contrib-type="author">
<name>
<surname>Van Zeveren</surname>
<given-names>Alex</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<email>Alex.VanZeveren@UGent.be</email>
</contrib>
<contrib id="A6" corresp="yes" contrib-type="author">
<name>
<surname>Peelman</surname>
<given-names>Luc J</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<email>Luc.Peelman@UGent.be</email>
</contrib>
</contrib-group>
<aff id="I1">
<label>1</label>
Department of Animal Nutrition, Genetics, Breeding and Ethology, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, B-9820 Merelbeke, Belgium</aff>
<aff id="I2">
<label>2</label>
Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, B-9820 Merelbeke, Belgium</aff>
<aff id="I3">
<label>3</label>
Center for Medical Genetics Ghent, Ghent University Hospital, Medical Research Building, De Pintelaan 185, B-9000 Ghent, Belgium</aff>
<pub-date pub-type="collection">
<year>2005</year>
</pub-date>
<pub-date pub-type="epub">
<day>3</day>
<month>12</month>
<year>2005</year>
</pub-date>
<volume>5</volume>
<fpage>27</fpage>
<lpage>27</lpage>
<ext-link ext-link-type="uri" xlink:href="http://www.biomedcentral.com/1471-213X/5/27"></ext-link>
<history>
<date date-type="received">
<day>9</day>
<month>6</month>
<year>2005</year>
</date>
<date date-type="accepted">
<day>3</day>
<month>12</month>
<year>2005</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2005 Goossens et al; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2005</copyright-year>
<copyright-holder>Goossens et al; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0">
<p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0"></ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p>
<pmc-comment> Goossens Karen Karen.Goossens@UGent.be Selection of reference genes for quantitative real-time PCR in bovine preimplantation embryos 2005BMC Developmental Biology 5(1): 27-. (2005)1471-213X(2005)5:1<27>urn:ISSN:1471-213X</pmc-comment>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Real-time quantitative PCR is a sensitive and very efficient technique to examine gene transcription patterns in preimplantation embryos, in order to gain information about embryo development and to optimize assisted reproductive technologies. Critical to the succesful application of real-time PCR is careful assay design, reaction optimization and validation to maximize sensitivity and accuracy. In most of the studies published
<italic>GAPD</italic>
,
<italic>ACTB </italic>
or
<italic>18S rRNA </italic>
have been used as a single reference gene without prior verification of their expression stability. Normalization of the data using unstable controls can result in erroneous conclusions, especially when only one reference gene is used.</p>
</sec>
<sec>
<title>Results</title>
<p>In this study the transcription levels of 8 commonly used reference genes (
<italic>ACTB</italic>
,
<italic>GAPD</italic>
,
<italic>Histone H2A</italic>
,
<italic>TBP</italic>
,
<italic>HPRT1</italic>
,
<italic>SDHA</italic>
,
<italic>YWHAZ </italic>
and
<italic>18S rRNA</italic>
) were determined at different preimplantation stages (2-cell, 8-cell, blastocyst and hatched blastocyst) in order to select the most stable genes to normalize quantitative data within different preimplantation embryo stages.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Using the geNorm application
<italic>YWHAZ</italic>
,
<italic>GAPD </italic>
and
<italic>SDHA </italic>
were found to be the most stable genes across the examined embryonic stages, while the commonly used
<italic>ACTB </italic>
was shown to be highly regulated. We recommend the use of the geometric mean of those 3 reference genes as an accurate normalization factor, which allows small expression differences to be reliably measured.</p>
</sec>
</abstract>
</article-meta>
</front>
</pmc>
</record>

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