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      The MHC I immunopeptidome conveys to the cell surface an integrative view of cellular regulation

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          Abstract

          • Using a quantitative high-throughput mass spectrometry-based approach, we found that inhibition of the mammalian target of rapamycin (mTOR) results in dynamic changes in the composition of the MHC I immunopeptidome.

          • We provide systems-level evidence that the MHC I immunopeptidome projects at the cell surface a representation of biochemical networks and metabolic events regulated at multiple levels (transcriptional and co- or post-translational level) inside the cell.

          • We demonstrate that the composition of the MHC I immunopeptidome changes in response to metabolic perturbations and we provide insights into how mammalian cells communicate their metabolic status to the adaptive immune system.

          Abstract

          Self/non-self discrimination is a fundamental requirement of life. Endogenous peptides presented by major histocompatibility complex class I (MHC I) molecules represent the essence of self for CD8 T lymphocytes. These MHC I peptides (MIPs) are collectively referred to as the immunopeptidome. From a systems-level perspective, very little is known about the origin, composition and plasticity of the immunopeptidome. Here, we show that the immunopeptidome, and therefore the nature of the immune self, is plastic and moulded by cellular metabolic activity. By using a quantitative high-throughput mass spectrometry-based approach, we found that altering cellular metabolism via the inhibition of the mammalian target of rapamycin results in dynamic changes in the cell surface MIPs landscape. Moreover, we provide systems-level evidence that the immunopeptidome projects at the cell surface a representation of biochemical networks and metabolic events regulated at multiple levels inside the cell. Our findings open up new perspectives in systems immunology and predictive biology. Indeed, predicting variations in the immunopeptidome in response to cell-intrinsic and -extrinsic factors could be relevant to the rational design of immunotherapeutic interventions.

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          Most cited references55

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          TSC2 integrates Wnt and energy signals via a coordinated phosphorylation by AMPK and GSK3 to regulate cell growth.

          Mutation in the TSC2 tumor suppressor causes tuberous sclerosis complex, a disease characterized by hamartoma formation in multiple tissues. TSC2 inhibits cell growth by acting as a GTPase-activating protein toward Rheb, thereby inhibiting mTOR, a central controller of cell growth. Here, we show that Wnt activates mTOR via inhibiting GSK3 without involving beta-catenin-dependent transcription. GSK3 inhibits the mTOR pathway by phosphorylating TSC2 in a manner dependent on AMPK-priming phosphorylation. Inhibition of mTOR by rapamycin blocks Wnt-induced cell growth and tumor development, suggesting a potential therapeutic value of rapamycin for cancers with activated Wnt signaling. Our results show that, in addition to transcriptional activation, Wnt stimulates translation and cell growth by activating the TSC-mTOR pathway. Furthermore, the sequential phosphorylation of TSC2 by AMPK and GSK3 reveals a molecular mechanism of signal integration in cell growth regulation.
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            Rapamycin differentially inhibits S6Ks and 4E-BP1 to mediate cell-type-specific repression of mRNA translation.

            The mammalian translational initiation machinery is a tightly controlled system that is composed of eukaryotic initiation factors, and which controls the recruitment of ribosomes to mediate cap-dependent translation. Accordingly, the mTORC1 complex functionally controls this cap-dependent translation machinery through the phosphorylation of its downstream substrates 4E-BPs and S6Ks. It is generally accepted that rapamycin, a specific inhibitor of mTORC1, is a potent translational repressor. Here we report the unexpected discovery that rapamycin's ability to regulate cap-dependent translation varies significantly among cell types. We show that this effect is mechanistically caused by rapamycin's differential effect on 4E-BP1 versus S6Ks. While rapamycin potently inhibits S6K activity throughout the duration of treatment, 4E-BP1 recovers in phosphorylation within 6 h despite initial inhibition (1-3 h). This reemerged 4E-BP1 phosphorylation is rapamycin-resistant but still requires mTOR, Raptor, and mTORC1's activity. Therefore, these results explain how cap-dependent translation can be maintained in the presence of rapamycin. In addition, we have also defined the condition by which rapamycin can control cap-dependent translation in various cell types. Finally, we show that mTOR catalytic inhibitors are effective inhibitors of the rapamycin-resistant phenotype.
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              The Immune Epitope Database 2.0

              The Immune Epitope Database (IEDB, www.iedb.org) provides a catalog of experimentally characterized B and T cell epitopes, as well as data on Major Histocompatibility Complex (MHC) binding and MHC ligand elution experiments. The database represents the molecular structures recognized by adaptive immune receptors and the experimental contexts in which these molecules were determined to be immune epitopes. Epitopes recognized in humans, nonhuman primates, rodents, pigs, cats and all other tested species are included. Both positive and negative experimental results are captured. Over the course of 4 years, the data from 180 978 experiments were curated manually from the literature, which covers ∼99% of all publicly available information on peptide epitopes mapped in infectious agents (excluding HIV) and 93% of those mapped in allergens. In addition, data that would otherwise be unavailable to the public from 129 186 experiments were submitted directly by investigators. The curation of epitopes related to autoimmunity is expected to be completed by the end of 2010. The database can be queried by epitope structure, source organism, MHC restriction, assay type or host organism, among other criteria. The database structure, as well as its querying, browsing and reporting interfaces, was completely redesigned for the IEDB 2.0 release, which became publicly available in early 2009.
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                Author and article information

                Journal
                Mol Syst Biol
                Molecular Systems Biology
                Nature Publishing Group
                1744-4292
                2011
                27 September 2011
                27 September 2011
                : 7
                : 533
                Affiliations
                [1 ]simpleInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal , Quebec, Canada
                [2 ]simpleDepartment of Medicine, Faculty of Medicine, Université de Montréal, Montreal , Quebec, Canada
                [3 ]simpleDepartment of Chemistry, Université de Montréal, Montreal , Quebec, Canada
                [4 ]simpleDepartment of Pathology and Cell Biology, Faculty of Medicine, Université de Montréal, Montreal , Quebec, Canada
                [5 ]simpleDepartment of Computer Science and Operations Research, Faculty of Arts and Sciences, Université de Montréal, Montreal , Quebec, Canada
                Author notes
                [a ]Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, PO Box 6128 Station Centre-Ville, Montreal, Quebec, Canada H3C 3J7. Tel.: +1 514 343 6910; Fax: +1 514 343 6843; pierre.thibault@ 123456umontreal.ca
                [b ]Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, PO Box 6128 Station Centre-Ville, Montreal, Quebec, Canada H3C 3J7. Tel.: +1 514 343 6126; Fax: +1 514 343 5839; claude.perreault@ 123456umontreal.ca
                [*]

                These authors contributed equally to this work.

                Article
                msb201168
                10.1038/msb.2011.68
                3202804
                21952136
                6f8cf1d8-077c-4c70-84c6-d94946547b48
                Copyright © 2011, EMBO and Macmillan Publishers Limited

                This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.

                History
                : 08 June 2011
                : 23 August 2011
                Categories
                Article

                Quantitative & Systems biology
                biochemical network,plasticity,transcriptome,major histocompatibility complex,mtor

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