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S100A4 mRNA-protein relationship uncovered by measurement noise reduction

ABSTRACT: Intrinsic biological fluctuation and/or measurement error can obscure the association of gene expression patterns between RNA and protein levels. Appropriate normalization of reverse-transcription quantitative PCR (RT-qPCR) data can reduce technical noise in transcript measurement, thus un...

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Autores principales: Athanasiou, Angelos-Theodoros, Nussbaumer, Thomas, Kummer, Stefan, Hofer, Martin, Johnston, Iain G., Staltner, Moritz, Allmer, Daniela M., Scott, Milcah C., Vogl, Claus, Fenger, Joelle M., Modiano, Jaime F., Walter, Ingrid, Steinborn, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241963/
https://www.ncbi.nlm.nih.gov/pubmed/32296879
http://dx.doi.org/10.1007/s00109-020-01898-8
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author Athanasiou, Angelos-Theodoros
Nussbaumer, Thomas
Kummer, Stefan
Hofer, Martin
Johnston, Iain G.
Staltner, Moritz
Allmer, Daniela M.
Scott, Milcah C.
Vogl, Claus
Fenger, Joelle M.
Modiano, Jaime F.
Walter, Ingrid
Steinborn, Ralf
author_facet Athanasiou, Angelos-Theodoros
Nussbaumer, Thomas
Kummer, Stefan
Hofer, Martin
Johnston, Iain G.
Staltner, Moritz
Allmer, Daniela M.
Scott, Milcah C.
Vogl, Claus
Fenger, Joelle M.
Modiano, Jaime F.
Walter, Ingrid
Steinborn, Ralf
author_sort Athanasiou, Angelos-Theodoros
collection PubMed
description ABSTRACT: Intrinsic biological fluctuation and/or measurement error can obscure the association of gene expression patterns between RNA and protein levels. Appropriate normalization of reverse-transcription quantitative PCR (RT-qPCR) data can reduce technical noise in transcript measurement, thus uncovering such relationships. The accuracy of gene expression measurement is often challenged in the context of cancer due to the genetic instability and “splicing weakness” involved. Here, we sequenced the poly(A) cancer transcriptome of canine osteosarcoma using mRNA-Seq. Expressed sequences were resolved at the level of two consecutive exons to enable the design of exon-border spanning RT-qPCR assays and ranked for stability based on the coefficient of variation (CV). Using the same template type for RT-qPCR validation, i.e. poly(A) RNA, avoided skewing of stability assessment by circular RNAs (circRNAs) and/or rRNA deregulation. The strength of the relationship between mRNA expression of the tumour marker S100A4 and its proportion score of quantitative immunohistochemistry (qIHC) was introduced as an experimental readout to fine-tune the normalization choice. Together with the essential logit transformation of qIHC scores, this approach reduced the noise of measurement as demonstrated by uncovering a highly significant, strong association between mRNA and protein expressions of S100A4 (Spearman’s coefficient ρ = 0.72 (p = 0.006)). KEY MESSAGES: • RNA-seq identifies stable pairs of consecutive exons in a heterogeneous tumour. • Poly(A) RNA templates for RT-qPCR avoid bias from circRNA and rRNA deregulation. • HNRNPL is stably expressed across various cancer tissues and osteosarcoma. • Logit transformed qIHC score better associates with mRNA amount. • Quantification of minor S100A4 mRNA species requires poly(A) RNA templates and dPCR. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00109-020-01898-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-72419632020-06-03 S100A4 mRNA-protein relationship uncovered by measurement noise reduction Athanasiou, Angelos-Theodoros Nussbaumer, Thomas Kummer, Stefan Hofer, Martin Johnston, Iain G. Staltner, Moritz Allmer, Daniela M. Scott, Milcah C. Vogl, Claus Fenger, Joelle M. Modiano, Jaime F. Walter, Ingrid Steinborn, Ralf J Mol Med (Berl) Original Article ABSTRACT: Intrinsic biological fluctuation and/or measurement error can obscure the association of gene expression patterns between RNA and protein levels. Appropriate normalization of reverse-transcription quantitative PCR (RT-qPCR) data can reduce technical noise in transcript measurement, thus uncovering such relationships. The accuracy of gene expression measurement is often challenged in the context of cancer due to the genetic instability and “splicing weakness” involved. Here, we sequenced the poly(A) cancer transcriptome of canine osteosarcoma using mRNA-Seq. Expressed sequences were resolved at the level of two consecutive exons to enable the design of exon-border spanning RT-qPCR assays and ranked for stability based on the coefficient of variation (CV). Using the same template type for RT-qPCR validation, i.e. poly(A) RNA, avoided skewing of stability assessment by circular RNAs (circRNAs) and/or rRNA deregulation. The strength of the relationship between mRNA expression of the tumour marker S100A4 and its proportion score of quantitative immunohistochemistry (qIHC) was introduced as an experimental readout to fine-tune the normalization choice. Together with the essential logit transformation of qIHC scores, this approach reduced the noise of measurement as demonstrated by uncovering a highly significant, strong association between mRNA and protein expressions of S100A4 (Spearman’s coefficient ρ = 0.72 (p = 0.006)). KEY MESSAGES: • RNA-seq identifies stable pairs of consecutive exons in a heterogeneous tumour. • Poly(A) RNA templates for RT-qPCR avoid bias from circRNA and rRNA deregulation. • HNRNPL is stably expressed across various cancer tissues and osteosarcoma. • Logit transformed qIHC score better associates with mRNA amount. • Quantification of minor S100A4 mRNA species requires poly(A) RNA templates and dPCR. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00109-020-01898-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-04-15 2020 /pmc/articles/PMC7241963/ /pubmed/32296879 http://dx.doi.org/10.1007/s00109-020-01898-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Athanasiou, Angelos-Theodoros
Nussbaumer, Thomas
Kummer, Stefan
Hofer, Martin
Johnston, Iain G.
Staltner, Moritz
Allmer, Daniela M.
Scott, Milcah C.
Vogl, Claus
Fenger, Joelle M.
Modiano, Jaime F.
Walter, Ingrid
Steinborn, Ralf
S100A4 mRNA-protein relationship uncovered by measurement noise reduction
title S100A4 mRNA-protein relationship uncovered by measurement noise reduction
title_full S100A4 mRNA-protein relationship uncovered by measurement noise reduction
title_fullStr S100A4 mRNA-protein relationship uncovered by measurement noise reduction
title_full_unstemmed S100A4 mRNA-protein relationship uncovered by measurement noise reduction
title_short S100A4 mRNA-protein relationship uncovered by measurement noise reduction
title_sort s100a4 mrna-protein relationship uncovered by measurement noise reduction
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241963/
https://www.ncbi.nlm.nih.gov/pubmed/32296879
http://dx.doi.org/10.1007/s00109-020-01898-8
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