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      Protein abundance of AKT and ERK pathway components governs cell type‐specific regulation of proliferation

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          Abstract

          Signaling through the AKT and ERK pathways controls cell proliferation. However, the integrated regulation of this multistep process, involving signal processing, cell growth and cell cycle progression, is poorly understood. Here, we study different hematopoietic cell types, in which AKT and ERK signaling is triggered by erythropoietin (Epo). Although these cell types share the molecular network topology for pro‐proliferative Epo signaling, they exhibit distinct proliferative responses. Iterating quantitative experiments and mathematical modeling, we identify two molecular sources for cell type‐specific proliferation. First, cell type‐specific protein abundance patterns cause differential signal flow along the AKT and ERK pathways. Second, downstream regulators of both pathways have differential effects on proliferation, suggesting that protein synthesis is rate‐limiting for faster cycling cells while slower cell cycles are controlled at the G1‐S progression. The integrated mathematical model of Epo‐driven proliferation explains cell type‐specific effects of targeted AKT and ERK inhibitors and faithfully predicts, based on the protein abundance, anti‐proliferative effects of inhibitors in primary human erythroid progenitor cells. Our findings suggest that the effectiveness of targeted cancer therapy might become predictable from protein abundance.

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          Most cited references74

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          Identification of a novel inhibitor of mitogen-activated protein kinase kinase.

          The compound U0126 (1,4-diamino-2,3-dicyano-1, 4-bis[2-aminophenylthio]butadiene) was identified as an inhibitor of AP-1 transactivation in a cell-based reporter assay. U0126 was also shown to inhibit endogenous promoters containing AP-1 response elements but did not affect genes lacking an AP-1 response element in their promoters. These effects of U0126 result from direct inhibition of the mitogen-activated protein kinase kinase family members, MEK-1 and MEK-2. Inhibition is selective for MEK-1 and -2, as U0126 shows little, if any, effect on the kinase activities of protein kinase C, Abl, Raf, MEKK, ERK, JNK, MKK-3, MKK-4/SEK, MKK-6, Cdk2, or Cdk4. Comparative kinetic analysis of U0126 and the MEK inhibitor PD098059 (Dudley, D. T., Pang, L., Decker, S. J., Bridges, A. J., and Saltiel, A. R. (1995) Proc. Natl. Acad. Sci U. S. A. 92, 7686-7689) demonstrates that U0126 and PD098059 are noncompetitive inhibitors with respect to both MEK substrates, ATP and ERK. We further demonstrate that the two compounds bind to deltaN3-S218E/S222D MEK in a mutually exclusive fashion, suggesting that they may share a common or overlapping binding site(s). Quantitative evaluation of the steady state kinetics of MEK inhibition by these compounds reveals that U0126 has approximately 100-fold higher affinity for deltaN3-S218E/S222D MEK than does PD098059. We further tested the effects of these compounds on the activity of wild type MEK isolated after activation from stimulated cells. Surprisingly, we observe a significant diminution in affinity of both compounds for wild type MEK as compared with the deltaN3-S218E/S222D mutant enzyme. These results suggest that the affinity of both compounds is mediated by subtle conformational differences between the two activated MEK forms. The MEK affinity of U0126, its selectivity for MEK over other kinases, and its cellular efficacy suggest that this compound will serve as a powerful tool for in vitro and cellular investigations of mitogen-activated protein kinase-mediated signal transduction.
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            A “Proteomic Ruler” for Protein Copy Number and Concentration Estimation without Spike-in Standards*

            Absolute protein quantification using mass spectrometry (MS)-based proteomics delivers protein concentrations or copy numbers per cell. Existing methodologies typically require a combination of isotope-labeled spike-in references, cell counting, and protein concentration measurements. Here we present a novel method that delivers similar quantitative results directly from deep eukaryotic proteome datasets without any additional experimental steps. We show that the MS signal of histones can be used as a “proteomic ruler” because it is proportional to the amount of DNA in the sample, which in turn depends on the number of cells. As a result, our proteomic ruler approach adds an absolute scale to the MS readout and allows estimation of the copy numbers of individual proteins per cell. We compare our protein quantifications with values derived via the use of stable isotope labeling by amino acids in cell culture and protein epitope signature tags in a method that combines spike-in protein fragment standards with precise isotope label quantification. The proteomic ruler approach yields quantitative readouts that are in remarkably good agreement with results from the precision method. We attribute this surprising result to the fact that the proteomic ruler approach omits error-prone steps such as cell counting or protein concentration measurements. The proteomic ruler approach is readily applicable to any deep eukaryotic proteome dataset—even in retrospective analysis—and we demonstrate its usefulness with a series of mouse organ proteomes.
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              A restriction point for control of normal animal cell proliferation.

              A B PARDEE (1974)
              This paper provides evidence that normal animal cells possess a unique regulatory mechanism to shift them between proliferative and quiescent states. Cells cease to increase in number under a diversity of suboptimal nutritional conditions, whereas a uniformity of metabolic changes follows these nutritional shifts. Evidence is given here that cells are put into the same quiescent state by each of these diverse blocks to proliferation and that cells escape at the same point in G(1) of the cell cycle when nutrition is restored. The name restriction point is proposed for the specific time in the cell cycle at which this critical release event occurs. The restriction point control is proposed to permit normal cells to retain viability by a shift to a minimal metabolism upon differentiation in vivo and in vitro when conditions are suboptimal for growth. Malignant cells are proposed to have lost their restriction point control. Hence, under very adverse conditions, as in the presence of antitumor agents, they stop randomly in their division cycle and die.
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                Author and article information

                Contributors
                t.hoefer@dkfz.de
                u.klingmueller@dkfz.de
                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                10.1002/(ISSN)1744-4292
                MSB
                msb
                Molecular Systems Biology
                John Wiley and Sons Inc. (Hoboken )
                1744-4292
                25 January 2017
                January 2017
                : 13
                : 1 ( doiID: 10.1002/msb.v13.1 )
                : 904
                Affiliations
                [ 1 ] Division of Systems Biology of Signal TransductionGerman Cancer Research Center (DKFZ) HeidelbergGermany
                [ 2 ] Division of Theoretical Systems BiologyGerman Cancer Research Center (DKFZ) HeidelbergGermany
                [ 3 ] BioQuant CenterUniversity of Heidelberg HeidelbergGermany
                [ 4 ] Department of ChemistryIndian Institute of Technology MumbaiIndia
                [ 5 ] Systems Biology of the Cellular Microenvironment Group IMMZALU FreiburgGermany
                [ 6 ]German Cancer Consortium (DKTK) FreiburgGermany
                [ 7 ]German Cancer Research Center (DKFZ) HeidelbergGermany
                [ 8 ] Department of Medicine VUniversity of Heidelberg HeidelbergGermany
                [ 9 ] Institute for Transfusion Medicine and ImmunologyUniversity of Heidelberg MannheimGermany
                [ 10 ] Center for Biological Signaling Studies (BIOSS)Institute of Physics, University of Freiburg FreiburgGermany
                [ 11 ] Translational Lung Research Center (TLRC)Member of the German Center for Lung Research (DZL) HeidelbergGermany
                Author notes
                [*] [* ] Corresponding author. Tel: +49 6221 54 51380; Fax: +49 6221 54 51487; E‐mail: t.hoefer@ 123456dkfz.de

                Corresponding author. Tel: +49 6221 42 4481; Fax: +49 6221 42 4488; E‐mail: u.klingmueller@ 123456dkfz.de

                [†]

                These authors contributed equally to this work

                Author information
                http://orcid.org/0000-0002-0971-2309
                http://orcid.org/0000-0003-4763-4521
                http://orcid.org/0000-0002-9517-5166
                http://orcid.org/0000-0001-9845-3099
                Article
                MSB167258
                10.15252/msb.20167258
                5293153
                28123004
                c0b26ba0-8c52-471a-82b1-1ca4522a2494
                © 2017 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 August 2016
                : 21 November 2016
                : 06 December 2016
                Page count
                Figures: 8, Tables: 1, Pages: 25, Words: 18285
                Funding
                Funded by: Helmholtz‐Gemeinschaft (HGF)
                Funded by: German Federal Ministry of Education and Research (BMBF)
                Award ID: 0316042A
                Award ID: 0316042G
                Award ID: 0316182A
                Award ID: 0316182B
                Award ID: 82DZL00404
                Funded by: German Cancer Research Center (DKFZ)
                Categories
                Article
                Articles
                Custom metadata
                2.0
                msb167258
                January 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.0.4 mode:remove_FC converted:30.01.2017

                Quantitative & Systems biology
                32d‐epor,baf3‐epor,cfu‐e,mapk,pi3k,cell cycle,quantitative biology & dynamical systems,signal transduction

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