Literature DB >> 17921177

Proteomics analysis of cytokine-induced dysfunction and death in insulin-producing INS-1E cells: new insights into the pathways involved.

Wannes D'Hertog1, Lut Overbergh, Kasper Lage, Gabriela Bonfim Ferreira, Michael Maris, Conny Gysemans, Daisy Flamez, Alessandra Kupper Cardozo, Gert Van den Bergh, Liliane Schoofs, Lut Arckens, Yves Moreau, Daniel Aaen Hansen, Decio Laks Eizirik, Ettienne Waelkens, Chantal Mathieu.   

Abstract

Cytokines released by islet-infiltrating immune cells play a crucial role in beta-cell dysfunction and apoptotic cell death in the pathogenesis of type 1 diabetes and after islet transplantation. RNA studies revealed complex pathways of genes being activated or suppressed during this beta-cell attack. The aim of the present study was to analyze protein changes in insulin-producing INS-1E cells exposed to inflammatory cytokines in vitro using two-dimensional DIGE. Within two different pH ranges we observed 2214 +/- 164 (pH 4-7) and 1641 +/- 73 (pH 6-9) spots. Analysis at three different time points (1, 4, and 24 h of cytokine exposure) revealed that the major changes were taking place only after 24 h. At this time point 158 proteins were altered in expression (4.1%, n = 4, p < or = 0.01) by a combination of interleukin-1beta and interferon-gamma, whereas only 42 and 23 proteins were altered by either of the cytokines alone, giving rise to 199 distinct differentially expressed spots. Identification of 141 of these by MALDI-TOF/TOF revealed proteins playing a role in insulin secretion, cytoskeleton organization, and protein and RNA metabolism as well as proteins associated with endoplasmic reticulum and oxidative stress/defense. We investigated the interactions of these proteins and discovered a significant interaction network (p < 1.27e-05) containing 42 of the identified proteins. This network analysis suggests that proteins of different pathways act coordinately in a beta-cell dysfunction/apoptotic beta-cell death interactome. In addition the data suggest a central role for chaperones and proteins playing a role in RNA metabolism. As many of these identified proteins are regulated at the protein level or undergo post-translational modifications, a proteomics approach, as performed in this study, is required to provide adequate insight into the mechanisms leading to beta-cell dysfunction and apoptosis. The present findings may open new avenues for the understanding and prevention of beta-cell loss in type 1 diabetes.

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Year:  2007        PMID: 17921177     DOI: 10.1074/mcp.M700085-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  28 in total

1.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

Review 2.  Do post-translational beta cell protein modifications trigger type 1 diabetes?

Authors:  Joachim Størling; Anne Julie Overgaard; Caroline Anna Brorsson; Francesco Piva; Claus Heiner Bang-Berthelsen; Claus Haase; Jørn Nerup; Flemming Pociot
Journal:  Diabetologia       Date:  2013-09-19       Impact factor: 10.122

Review 3.  Unraveling pancreatic islet biology by quantitative proteomics.

Authors:  Jian-Ying Zhou; Geoffrey P Dann; Chong Wee Liew; Richard D Smith; Rohit N Kulkarni; Wei-Jun Qian
Journal:  Expert Rev Proteomics       Date:  2011-08       Impact factor: 3.940

4.  Compensatory Islet Response to Insulin Resistance Revealed by Quantitative Proteomics.

Authors:  Abdelfattah El Ouaamari; Jian-Ying Zhou; Chong Wee Liew; Jun Shirakawa; Ercument Dirice; Nicholas Gedeon; Sevim Kahraman; Dario F De Jesus; Shweta Bhatt; Jong-Seo Kim; Therese Rw Clauss; David G Camp; Richard D Smith; Wei-Jun Qian; Rohit N Kulkarni
Journal:  J Proteome Res       Date:  2015-07-30       Impact factor: 4.466

5.  Early differences in islets from prediabetic NOD mice: combined microarray and proteomic analysis.

Authors:  Inne Crèvecoeur; Valborg Gudmundsdottir; Saurabh Vig; Fernanda Marques Câmara Sodré; Wannes D'Hertog; Ana Carolina Fierro; Leentje Van Lommel; Conny Gysemans; Kathleen Marchal; Etienne Waelkens; Frans Schuit; Søren Brunak; Lut Overbergh; Chantal Mathieu
Journal:  Diabetologia       Date:  2017-01-12       Impact factor: 10.122

6.  Rapid changes of mRNA-binding protein levels following glucose and 3-isobutyl-1-methylxanthine stimulation of insulinoma INS-1 cells.

Authors:  Christin Süss; Cornelia Czupalla; Christof Winter; Theresia Pursche; Klaus-Peter Knoch; Michael Schroeder; Bernard Hoflack; Michele Solimena
Journal:  Mol Cell Proteomics       Date:  2008-10-14       Impact factor: 5.911

7.  Dissecting spatio-temporal protein networks driving human heart development and related disorders.

Authors:  Kasper Lage; Kjeld Møllgård; Steven Greenway; Hiroko Wakimoto; Joshua M Gorham; Christopher T Workman; Eske Bendsen; Niclas T Hansen; Olga Rigina; Francisco S Roque; Cornelia Wiese; Vincent M Christoffels; Amy E Roberts; Leslie B Smoot; William T Pu; Patricia K Donahoe; Niels Tommerup; Søren Brunak; Christine E Seidman; Jonathan G Seidman; Lars A Larsen
Journal:  Mol Syst Biol       Date:  2010-06-22       Impact factor: 11.429

8.  Expression profiling of human genetic and protein interaction networks in type 1 diabetes.

Authors:  Regine Bergholdt; Caroline Brorsson; Kasper Lage; Jens Høiriis Nielsen; Søren Brunak; Flemming Pociot
Journal:  PLoS One       Date:  2009-07-17       Impact factor: 3.240

9.  Involvement of microRNAs in the cytotoxic effects exerted by proinflammatory cytokines on pancreatic beta-cells.

Authors:  Elodie Roggli; Aurore Britan; Sonia Gattesco; Nathalie Lin-Marq; Amar Abderrahmani; Paolo Meda; Romano Regazzi
Journal:  Diabetes       Date:  2010-01-19       Impact factor: 9.461

10.  Cytokines interleukin-1beta and tumor necrosis factor-alpha regulate different transcriptional and alternative splicing networks in primary beta-cells.

Authors:  Fernanda Ortis; Najib Naamane; Daisy Flamez; Laurence Ladrière; Fabrice Moore; Daniel A Cunha; Maikel L Colli; Thomas Thykjaer; Kasper Thorsen; Torben F Orntoft; Decio L Eizirik
Journal:  Diabetes       Date:  2009-11-23       Impact factor: 9.461

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