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A reliable method for quantification of splice variants using RT-qPCR

BACKGROUND: The majority of protein isoforms arise from alternative splicing of the encoding primary RNA transcripts. To understand the significance of single splicing events, reliable techniques are needed to determine their incidence. However, existing methods are labour-intensive, error-prone or...

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Autores principales: Camacho Londoño, Julia, Philipp, Stephan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793508/
https://www.ncbi.nlm.nih.gov/pubmed/26979160
http://dx.doi.org/10.1186/s12867-016-0060-1
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author Camacho Londoño, Julia
Philipp, Stephan E.
author_facet Camacho Londoño, Julia
Philipp, Stephan E.
author_sort Camacho Londoño, Julia
collection PubMed
description BACKGROUND: The majority of protein isoforms arise from alternative splicing of the encoding primary RNA transcripts. To understand the significance of single splicing events, reliable techniques are needed to determine their incidence. However, existing methods are labour-intensive, error-prone or of limited use. RESULTS: Here, we present an improved method to determine the relative incidence of transcripts that arise from alternative splicing at a single site. Splice variants were quantified within a single sample using one-step reverse transcription quantitative PCR. Amplification products obtained with variant specific primer pairs were compared to those obtained with primer pairs common to both variants. The identities of variant specific amplicons were simultaneously verified by melt curve analysis. Independent calculations of the relative incidence of each variant were performed. Since the relative incidences of variants have to add upto 100 %, the method provides an internal control to monitor experimental errors and uniform reverse transcription. The reliability of the method was tested using mixtures of cDNA templates as well as RNA samples from different sources. CONCLUSION: The method described here, is easy to set up and does not need unrelated reference genes and time consuming, error-prone standard curves. It provides a reliable and precise technique to distinguish small differences of the relative incidence of two splice variants.
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spelling pubmed-47935082016-03-16 A reliable method for quantification of splice variants using RT-qPCR Camacho Londoño, Julia Philipp, Stephan E. BMC Mol Biol Methodology Article BACKGROUND: The majority of protein isoforms arise from alternative splicing of the encoding primary RNA transcripts. To understand the significance of single splicing events, reliable techniques are needed to determine their incidence. However, existing methods are labour-intensive, error-prone or of limited use. RESULTS: Here, we present an improved method to determine the relative incidence of transcripts that arise from alternative splicing at a single site. Splice variants were quantified within a single sample using one-step reverse transcription quantitative PCR. Amplification products obtained with variant specific primer pairs were compared to those obtained with primer pairs common to both variants. The identities of variant specific amplicons were simultaneously verified by melt curve analysis. Independent calculations of the relative incidence of each variant were performed. Since the relative incidences of variants have to add upto 100 %, the method provides an internal control to monitor experimental errors and uniform reverse transcription. The reliability of the method was tested using mixtures of cDNA templates as well as RNA samples from different sources. CONCLUSION: The method described here, is easy to set up and does not need unrelated reference genes and time consuming, error-prone standard curves. It provides a reliable and precise technique to distinguish small differences of the relative incidence of two splice variants. BioMed Central 2016-03-15 /pmc/articles/PMC4793508/ /pubmed/26979160 http://dx.doi.org/10.1186/s12867-016-0060-1 Text en © Camacho Londono and Philipp. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Camacho Londoño, Julia
Philipp, Stephan E.
A reliable method for quantification of splice variants using RT-qPCR
title A reliable method for quantification of splice variants using RT-qPCR
title_full A reliable method for quantification of splice variants using RT-qPCR
title_fullStr A reliable method for quantification of splice variants using RT-qPCR
title_full_unstemmed A reliable method for quantification of splice variants using RT-qPCR
title_short A reliable method for quantification of splice variants using RT-qPCR
title_sort reliable method for quantification of splice variants using rt-qpcr
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793508/
https://www.ncbi.nlm.nih.gov/pubmed/26979160
http://dx.doi.org/10.1186/s12867-016-0060-1
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