Using ribosomal protein genes as reference: a tale of caution.

BACKGROUND: Housekeeping genes are needed in every tissue as their expression is required for survival, integrity or duplication of every cell. Housekeeping genes commonly have been used as reference genes to normalize gene expression data, the underlying assumption being that they are expressed in...

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Main Authors: Lieven Thorrez, Katrijn Van Deun, Léon-Charles Tranchevent, Leentje Van Lommel, Kristof Engelen, Kathleen Marchal, Yves Moreau, Iven Van Mechelen, Frans Schuit
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2008-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2267211?pdf=render
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author Lieven Thorrez
Katrijn Van Deun
Léon-Charles Tranchevent
Leentje Van Lommel
Kristof Engelen
Kathleen Marchal
Yves Moreau
Iven Van Mechelen
Frans Schuit
author_facet Lieven Thorrez
Katrijn Van Deun
Léon-Charles Tranchevent
Leentje Van Lommel
Kristof Engelen
Kathleen Marchal
Yves Moreau
Iven Van Mechelen
Frans Schuit
author_sort Lieven Thorrez
collection DOAJ
description BACKGROUND: Housekeeping genes are needed in every tissue as their expression is required for survival, integrity or duplication of every cell. Housekeeping genes commonly have been used as reference genes to normalize gene expression data, the underlying assumption being that they are expressed in every cell type at approximately the same level. Often, the terms "reference genes" and "housekeeping genes" are used interchangeably. In this paper, we would like to distinguish between these terms. Consensus is growing that housekeeping genes which have traditionally been used to normalize gene expression data are not good reference genes. Recently, ribosomal protein genes have been suggested as reference genes based on a meta-analysis of publicly available microarray data. METHODOLOGY/PRINCIPAL FINDINGS: We have applied several statistical tools on a dataset of 70 microarrays representing 22 different tissues, to assess and visualize expression stability of ribosomal protein genes. We confirmed the housekeeping status of these genes, but further estimated expression stability across tissues in order to assess their potential as reference genes. One- and two-way ANOVA revealed that all ribosomal protein genes have significant expression variation across tissues and exhibit tissue-dependent expression behavior as a group. Via multidimensional unfolding analysis, we visualized this tissue-dependency. In addition, we explored mechanisms that may cause tissue dependent effects of individual ribosomal protein genes. CONCLUSIONS/SIGNIFICANCE: Here we provide statistical and biological evidence that ribosomal protein genes exhibit important tissue-dependent variation in mRNA expression. Though these genes are most stably expressed of all investigated genes in a meta-analysis they cannot be considered true reference genes.
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spelling doaj.art-85e33289da194d75b76dd1bd7ec871602022-12-22T03:25:10ZengPublic Library of Science (PLoS)PLoS ONE1932-62032008-01-0133e185410.1371/journal.pone.0001854Using ribosomal protein genes as reference: a tale of caution.Lieven ThorrezKatrijn Van DeunLéon-Charles TrancheventLeentje Van LommelKristof EngelenKathleen MarchalYves MoreauIven Van MechelenFrans SchuitBACKGROUND: Housekeeping genes are needed in every tissue as their expression is required for survival, integrity or duplication of every cell. Housekeeping genes commonly have been used as reference genes to normalize gene expression data, the underlying assumption being that they are expressed in every cell type at approximately the same level. Often, the terms "reference genes" and "housekeeping genes" are used interchangeably. In this paper, we would like to distinguish between these terms. Consensus is growing that housekeeping genes which have traditionally been used to normalize gene expression data are not good reference genes. Recently, ribosomal protein genes have been suggested as reference genes based on a meta-analysis of publicly available microarray data. METHODOLOGY/PRINCIPAL FINDINGS: We have applied several statistical tools on a dataset of 70 microarrays representing 22 different tissues, to assess and visualize expression stability of ribosomal protein genes. We confirmed the housekeeping status of these genes, but further estimated expression stability across tissues in order to assess their potential as reference genes. One- and two-way ANOVA revealed that all ribosomal protein genes have significant expression variation across tissues and exhibit tissue-dependent expression behavior as a group. Via multidimensional unfolding analysis, we visualized this tissue-dependency. In addition, we explored mechanisms that may cause tissue dependent effects of individual ribosomal protein genes. CONCLUSIONS/SIGNIFICANCE: Here we provide statistical and biological evidence that ribosomal protein genes exhibit important tissue-dependent variation in mRNA expression. Though these genes are most stably expressed of all investigated genes in a meta-analysis they cannot be considered true reference genes.http://europepmc.org/articles/PMC2267211?pdf=render
spellingShingle Lieven Thorrez
Katrijn Van Deun
Léon-Charles Tranchevent
Leentje Van Lommel
Kristof Engelen
Kathleen Marchal
Yves Moreau
Iven Van Mechelen
Frans Schuit
Using ribosomal protein genes as reference: a tale of caution.
PLoS ONE
title Using ribosomal protein genes as reference: a tale of caution.
title_full Using ribosomal protein genes as reference: a tale of caution.
title_fullStr Using ribosomal protein genes as reference: a tale of caution.
title_full_unstemmed Using ribosomal protein genes as reference: a tale of caution.
title_short Using ribosomal protein genes as reference: a tale of caution.
title_sort using ribosomal protein genes as reference a tale of caution
url http://europepmc.org/articles/PMC2267211?pdf=render
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