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Systems level expression correlation of Ras GTPase regulators
BACKGROUND: Proteins of the ubiquitously expressed core proteome are quantitatively correlated across multiple eukaryotic species. In addition, it was found that many protein paralogues exhibit expression anticorrelation, suggesting that the total level of protein with a given functionality must be...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094892/ https://www.ncbi.nlm.nih.gov/pubmed/30111366 http://dx.doi.org/10.1186/s12964-018-0256-8 |
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author | Besray Unal, E. Kiel, Christina Benisty, Hannah Campbell, Andrew Pickering, Karen Blüthgen, Nils Sansom, Owen J. Serrano, Luis |
author_facet | Besray Unal, E. Kiel, Christina Benisty, Hannah Campbell, Andrew Pickering, Karen Blüthgen, Nils Sansom, Owen J. Serrano, Luis |
author_sort | Besray Unal, E. |
collection | PubMed |
description | BACKGROUND: Proteins of the ubiquitously expressed core proteome are quantitatively correlated across multiple eukaryotic species. In addition, it was found that many protein paralogues exhibit expression anticorrelation, suggesting that the total level of protein with a given functionality must be kept constant. METHODS: We performed Spearman’s rank correlation analyses of gene expression levels for the RAS GTPase subfamily and their regulatory GEF and GAP proteins across tissues and across individuals for each tissue. A large set of published data for normal tissues from a wide range of species, human cancer tissues and human cell lines was analysed. RESULTS: We show that although the multidomain regulatory proteins of Ras GTPases exhibit considerable tissue and individual gene expression variability, their total amounts are balanced in normal tissues. In a given tissue, the sum of activating (GEFs) and deactivating (GAPs) domains of Ras GTPases can vary considerably, but each person has balanced GEF and GAP levels. This balance is impaired in cell lines and in cancer tissues for some individuals. CONCLUSIONS: Our results are relevant for critical considerations of knock out experiments, where functionally related homologs may compensate for the down regulation of a protein. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12964-018-0256-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6094892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60948922018-08-24 Systems level expression correlation of Ras GTPase regulators Besray Unal, E. Kiel, Christina Benisty, Hannah Campbell, Andrew Pickering, Karen Blüthgen, Nils Sansom, Owen J. Serrano, Luis Cell Commun Signal Research BACKGROUND: Proteins of the ubiquitously expressed core proteome are quantitatively correlated across multiple eukaryotic species. In addition, it was found that many protein paralogues exhibit expression anticorrelation, suggesting that the total level of protein with a given functionality must be kept constant. METHODS: We performed Spearman’s rank correlation analyses of gene expression levels for the RAS GTPase subfamily and their regulatory GEF and GAP proteins across tissues and across individuals for each tissue. A large set of published data for normal tissues from a wide range of species, human cancer tissues and human cell lines was analysed. RESULTS: We show that although the multidomain regulatory proteins of Ras GTPases exhibit considerable tissue and individual gene expression variability, their total amounts are balanced in normal tissues. In a given tissue, the sum of activating (GEFs) and deactivating (GAPs) domains of Ras GTPases can vary considerably, but each person has balanced GEF and GAP levels. This balance is impaired in cell lines and in cancer tissues for some individuals. CONCLUSIONS: Our results are relevant for critical considerations of knock out experiments, where functionally related homologs may compensate for the down regulation of a protein. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12964-018-0256-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-15 /pmc/articles/PMC6094892/ /pubmed/30111366 http://dx.doi.org/10.1186/s12964-018-0256-8 Text en © The Author(s). 2018 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 | Research Besray Unal, E. Kiel, Christina Benisty, Hannah Campbell, Andrew Pickering, Karen Blüthgen, Nils Sansom, Owen J. Serrano, Luis Systems level expression correlation of Ras GTPase regulators |
title | Systems level expression correlation of Ras GTPase regulators |
title_full | Systems level expression correlation of Ras GTPase regulators |
title_fullStr | Systems level expression correlation of Ras GTPase regulators |
title_full_unstemmed | Systems level expression correlation of Ras GTPase regulators |
title_short | Systems level expression correlation of Ras GTPase regulators |
title_sort | systems level expression correlation of ras gtpase regulators |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094892/ https://www.ncbi.nlm.nih.gov/pubmed/30111366 http://dx.doi.org/10.1186/s12964-018-0256-8 |
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