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Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics

Real-time quantitative PCR is a technique that can measure the content of the target nucleic acid sequence of interest in a given sample. It is mainly divided into absolute and relative quantitative methods. The relative quantification is mainly used in gene expressions for functional genomic and tr...

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Detalles Bibliográficos
Autores principales: Chen, Zhiwei, Halford, Nigel G., Liu, Chenghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384377/
https://www.ncbi.nlm.nih.gov/pubmed/37512513
http://dx.doi.org/10.3390/metabo13070806
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author Chen, Zhiwei
Halford, Nigel G.
Liu, Chenghong
author_facet Chen, Zhiwei
Halford, Nigel G.
Liu, Chenghong
author_sort Chen, Zhiwei
collection PubMed
description Real-time quantitative PCR is a technique that can measure the content of the target nucleic acid sequence of interest in a given sample. It is mainly divided into absolute and relative quantitative methods. The relative quantification is mainly used in gene expressions for functional genomic and transcriptome studies. However, to use this technology accurately, there are some key points to master. First, specific primers need to be designed to ensure amplification of the gene of interest (GOI). Second, the appropriate reference gene or reference gene combination has to be selected. Finally, scientific gene expression level calculations and statistics are required to obtain accurate results. Therefore, this work proposes a workflow for relative quantitative PCR and introduces the relevant points so that beginners can better understand and use this technology.
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spelling pubmed-103843772023-07-30 Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics Chen, Zhiwei Halford, Nigel G. Liu, Chenghong Metabolites Opinion Real-time quantitative PCR is a technique that can measure the content of the target nucleic acid sequence of interest in a given sample. It is mainly divided into absolute and relative quantitative methods. The relative quantification is mainly used in gene expressions for functional genomic and transcriptome studies. However, to use this technology accurately, there are some key points to master. First, specific primers need to be designed to ensure amplification of the gene of interest (GOI). Second, the appropriate reference gene or reference gene combination has to be selected. Finally, scientific gene expression level calculations and statistics are required to obtain accurate results. Therefore, this work proposes a workflow for relative quantitative PCR and introduces the relevant points so that beginners can better understand and use this technology. MDPI 2023-06-28 /pmc/articles/PMC10384377/ /pubmed/37512513 http://dx.doi.org/10.3390/metabo13070806 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Opinion
Chen, Zhiwei
Halford, Nigel G.
Liu, Chenghong
Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics
title Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics
title_full Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics
title_fullStr Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics
title_full_unstemmed Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics
title_short Real-Time Quantitative PCR: Primer Design, Reference Gene Selection, Calculations and Statistics
title_sort real-time quantitative pcr: primer design, reference gene selection, calculations and statistics
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384377/
https://www.ncbi.nlm.nih.gov/pubmed/37512513
http://dx.doi.org/10.3390/metabo13070806
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