We are analyzing https://link.springer.com/article/10.1007/s11427-012-4289-8.

Title:
Identification of a suitable endogenous control gene in porcine blastocysts for use in quantitative PCR analysis of microRNAs | Science China Life Sciences
Description:
To obtain reliable results in quantitative PCR (qPCR) reactions, an endogenous control (EC) gene is needed to correct for systematic variations. In this study, a TaqMan low density array was used to quantify the expression levels of microRNA (miRNA) genes in in vivo fertilized, in vitro fertilized, parthenogenetic and somatic cell nuclear transfer blastocysts. The aim was to identify suitable EC genes for the qPCR analysis of miRNAs in porcine blastocysts. The results showed that thirty-six miRNAs were commonly expressed in the four kinds of embryos and the expression levels of eleven miRNAs were similar in the different embryo types (P-value>0.05). These 11 miRNAs were selected as candidate EC genes for further analysis and, of these, miR-16 was identified as the most stable EC gene by the GeNorm (a tool based on a pair-wise comparison model that calculates the internal control genes stability measure and determines the most reliable pair of EC genes) and NormFinder (an excel plug-in that uses an ANOVA-based model to estimate intra- and inter-group variation to indicate the single most stable EC gene) programs. In addition, a cell number normalization method validated miR-16 as a suitable EC gene for use in future qPCR analysis of miRNAs in porcine blastocysts.
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Keywords {🔍}

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Topics {✒️}

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Schema {🗺️}

WebPage:
      mainEntity:
         headline:Identification of a suitable endogenous control gene in porcine blastocysts for use in quantitative PCR analysis of microRNAs
         description:To obtain reliable results in quantitative PCR (qPCR) reactions, an endogenous control (EC) gene is needed to correct for systematic variations. In this study, a TaqMan low density array was used to quantify the expression levels of microRNA (miRNA) genes in in vivo fertilized, in vitro fertilized, parthenogenetic and somatic cell nuclear transfer blastocysts. The aim was to identify suitable EC genes for the qPCR analysis of miRNAs in porcine blastocysts. The results showed that thirty-six miRNAs were commonly expressed in the four kinds of embryos and the expression levels of eleven miRNAs were similar in the different embryo types (P-value>0.05). These 11 miRNAs were selected as candidate EC genes for further analysis and, of these, miR-16 was identified as the most stable EC gene by the GeNorm (a tool based on a pair-wise comparison model that calculates the internal control genes stability measure and determines the most reliable pair of EC genes) and NormFinder (an excel plug-in that uses an ANOVA-based model to estimate intra- and inter-group variation to indicate the single most stable EC gene) programs. In addition, a cell number normalization method validated miR-16 as a suitable EC gene for use in future qPCR analysis of miRNAs in porcine blastocysts.
         datePublished:2012-03-15T00:00:00Z
         dateModified:2012-03-15T00:00:00Z
         pageStart:126
         pageEnd:131
         license:https://creativecommons.org/licenses/by/2.0
         sameAs:https://doi.org/10.1007/s11427-012-4289-8
         keywords:
            endogenous control gene
            quantitative PCR
            microRNA
            blastocyst
            Life Sciences
            general
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            issn:
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                        type:PostalAddress
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ScholarlyArticle:
      headline:Identification of a suitable endogenous control gene in porcine blastocysts for use in quantitative PCR analysis of microRNAs
      description:To obtain reliable results in quantitative PCR (qPCR) reactions, an endogenous control (EC) gene is needed to correct for systematic variations. In this study, a TaqMan low density array was used to quantify the expression levels of microRNA (miRNA) genes in in vivo fertilized, in vitro fertilized, parthenogenetic and somatic cell nuclear transfer blastocysts. The aim was to identify suitable EC genes for the qPCR analysis of miRNAs in porcine blastocysts. The results showed that thirty-six miRNAs were commonly expressed in the four kinds of embryos and the expression levels of eleven miRNAs were similar in the different embryo types (P-value>0.05). These 11 miRNAs were selected as candidate EC genes for further analysis and, of these, miR-16 was identified as the most stable EC gene by the GeNorm (a tool based on a pair-wise comparison model that calculates the internal control genes stability measure and determines the most reliable pair of EC genes) and NormFinder (an excel plug-in that uses an ANOVA-based model to estimate intra- and inter-group variation to indicate the single most stable EC gene) programs. In addition, a cell number normalization method validated miR-16 as a suitable EC gene for use in future qPCR analysis of miRNAs in porcine blastocysts.
      datePublished:2012-03-15T00:00:00Z
      dateModified:2012-03-15T00:00:00Z
      pageStart:126
      pageEnd:131
      license:https://creativecommons.org/licenses/by/2.0
      sameAs:https://doi.org/10.1007/s11427-012-4289-8
      keywords:
         endogenous control gene
         quantitative PCR
         microRNA
         blastocyst
         Life Sciences
         general
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            1869-1889
            1674-7305
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      author:
            name:Jun Li
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                     type:PostalAddress
                  type:Organization
            type:Person
            name:HengXi Wei
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                  name:China Agricultural University
                  address:
                     name:State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing, China
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                  name:China Agricultural University
                  address:
                     name:College of Animal Science and Technology, China Agricultural University, Beijing, China
                     type:PostalAddress
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            name:Yan Li
            affiliation:
                  name:GenProtein Biotech Ltd.
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                     name:GenProtein Biotech Ltd., Beijing, China
                     type:PostalAddress
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            type:Person
            name:QiuYan Li
            affiliation:
                  name:China Agricultural University
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                  type:Organization
                  name:GenProtein Biotech Ltd.
                  address:
                     name:GenProtein Biotech Ltd., Beijing, China
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      name:HengXi Wei
      affiliation:
            name:China Agricultural University
            address:
               name:State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing, China
               type:PostalAddress
            type:Organization
            name:China Agricultural University
            address:
               name:College of Animal Science and Technology, China Agricultural University, Beijing, China
               type:PostalAddress
            type:Organization
      name:Yan Li
      affiliation:
            name:GenProtein Biotech Ltd.
            address:
               name:GenProtein Biotech Ltd., Beijing, China
               type:PostalAddress
            type:Organization
      name:QiuYan Li
      affiliation:
            name:China Agricultural University
            address:
               name:State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing, China
               type:PostalAddress
            type:Organization
            name:GenProtein Biotech Ltd.
            address:
               name:GenProtein Biotech Ltd., Beijing, China
               type:PostalAddress
            type:Organization
      name:Ning Li
      affiliation:
            name:China Agricultural University
            address:
               name:State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing, China
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      name:State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing, China
      name:College of Animal Science and Technology, China Agricultural University, Beijing, China
      name:GenProtein Biotech Ltd., Beijing, China
      name:State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing, China
      name:GenProtein Biotech Ltd., Beijing, China
      name:State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing, China

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