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      Systems level expression correlation of Ras GTPase regulators

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          Abstract

          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.

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          Most cited references22

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          Using FlyAtlas to identify better Drosophila melanogaster models of human disease.

          FlyAtlas, a new online resource, provides the most comprehensive view yet of expression in multiple tissues of Drosophila melanogaster. Meta-analysis of the data shows that a significant fraction of the genome is expressed with great tissue specificity in the adult, demonstrating the need for the functional genomic community to embrace a wide range of functional phenotypes. Well-known developmental genes are often reused in surprising tissues in the adult, suggesting new functions. The homologs of many human genetic disease loci show selective expression in the Drosophila tissues analogous to the affected human tissues, providing a useful filter for potential candidate genes. Additionally, the contributions of each tissue to the whole-fly array signal can be calculated, demonstrating the limitations of whole-organism approaches to functional genomics and allowing modeling of a simple tissue fractionation procedure that should improve detection of weak or tissue-specific signals.
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            The evolution of gene expression levels in mammalian organs.

            Changes in gene expression are thought to underlie many of the phenotypic differences between species. However, large-scale analyses of gene expression evolution were until recently prevented by technological limitations. Here we report the sequencing of polyadenylated RNA from six organs across ten species that represent all major mammalian lineages (placentals, marsupials and monotremes) and birds (the evolutionary outgroup), with the goal of understanding the dynamics of mammalian transcriptome evolution. We show that the rate of gene expression evolution varies among organs, lineages and chromosomes, owing to differences in selective pressures: transcriptome change was slow in nervous tissues and rapid in testes, slower in rodents than in apes and monotremes, and rapid for the X chromosome right after its formation. Although gene expression evolution in mammals was strongly shaped by purifying selection, we identify numerous potentially selectively driven expression switches, which occurred at different rates across lineages and tissues and which probably contributed to the specific organ biology of various mammals.
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              Ras superfamily GEFs and GAPs: validated and tractable targets for cancer therapy?

              There is now considerable and increasing evidence for a causal role for aberrant activity of the Ras superfamily of small GTPases in human cancers. These GTPases function as GDP-GTP-regulated binary switches that control many fundamental cellular processes. A common mechanism of GTPase deregulation in cancer is the deregulated expression and/or activity of their regulatory proteins, guanine nucleotide exchange factors (GEFs) that promote formation of the active GTP-bound state and GTPase-activating proteins (GAPs) that return the GTPase to its GDP-bound inactive state. In this Review, we assess the association of GEFs and GAPs with cancer and their druggability for cancer therapeutics.
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                Author and article information

                Contributors
                besray@gmail.com
                christina.kiel@ucd.ie
                hannah.benisty@crg.eu
                a.campbell@beatson.gla.ac.uk
                k.pickering@beatson.gla.ac.uk
                nils.bluethgen@charite.de
                o.sansom@beatson.gla.ac.uk
                luis.serrano@crg.es , luis.serrano@crg.eu
                Journal
                Cell Commun Signal
                Cell Commun. Signal
                Cell Communication and Signaling : CCS
                BioMed Central (London )
                1478-811X
                15 August 2018
                15 August 2018
                2018
                : 16
                : 46
                Affiliations
                [1 ]ISNI 0000 0001 2218 4662, GRID grid.6363.0, Institute of Pathology, Charité - Universitätsmedizin Berlin, ; 10117 Berlin, Germany
                [2 ]ISNI 0000 0001 2248 7639, GRID grid.7468.d, Integrative Research Institute Life Sciences, , Humboldt Universität Berlin, ; 10115 Berlin, Germany
                [3 ]GRID grid.11478.3b, Centre for Genomic Regulation (CRG), Systems Biology Programme. The Barcelona Institute of Science and Technology, ; Dr. Aiguader 88, Barcelona, 08003 Spain
                [4 ]ISNI 0000 0001 0768 2743, GRID grid.7886.1, Present address: Systems Biology Ireland & Charles Institute of Dermatology & School of Medicine, , University College Dublin, ; Belfield, Dublin 4, Ireland
                [5 ]ISNI 0000 0000 8821 5196, GRID grid.23636.32, Cancer Research UK Beatson Institute, ; Garscube Estate, Switchback Road, Glasgow, G61 1BD UK
                [6 ]ISNI 0000 0001 2172 2676, GRID grid.5612.0, Universitat Pompeu Fabra (UPF), ; 08003 Barcelona, Spain
                [7 ]ISNI 0000 0000 9601 989X, GRID grid.425902.8, Institució Catalana de Recerca i Estudis Avançats (ICREA), ; Pg. Lluís Companys 23, 08010 Barcelona, Spain
                Author information
                http://orcid.org/0000-0001-8454-6008
                Article
                256
                10.1186/s12964-018-0256-8
                6094892
                30111366
                5a6fd4f4-5102-4a92-bbc5-819a5dd8488c
                © 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.

                History
                : 21 March 2018
                : 2 August 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100011259, FP7 International Cooperation;
                Award ID: FP7-HEALTH-F4-2011-278568
                Award ID: FP7-HEALTH-F4-2011-278568
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Cell biology
                ras small gtpases,tissue expression,gene expression network,gtpase activating proteins,guanine nucleotide exchange factors

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