Literature DB >> 19471091

A model of the unfolded protein response: pancreatic beta-cell as a case study.

Santiago Schnell1.   

Abstract

Pancreatic beta-cell failure is increasingly recognized as central to the progression of diabetes mellitus. Different causes are implicated in the onset of beta-cell stress, dysfunction or death. Recent genetic and biochemical evidence both in humans and mice shows that failure in modulating the capacity and quality of the endoplasmic reticulum protein-folding machinery leads to beta-cell death. The quality control of protein-folding is regulated by several signaling pathways, which are collectively termed the unfolded protein response. In beta-cells proinsulin represents up to 50% of the total protein synthesis, and the rate of glucose-stimulated proinsulin translation is approximately 1 million molecules per minute per cell. When proinsulin folding is disrupted, the high burden imposed by proinsulin synthesis on the unfolded protein response is considered the leading cause of certain diabetes phenotypes. We have developed a model of the unfolded protein response to investigate the factors that can prevent misfolded protein accumulation. We also present predictions for therapeutic strategies to ameliorate pancreatic beta-cell death in diabetes patients. Copyright 2009 S. Karger AG, Basel.

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Year:  2009        PMID: 19471091     DOI: 10.1159/000218170

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  11 in total

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4.  Information processing by endoplasmic reticulum stress sensors.

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6.  Deglycosylation-dependent fluorescent proteins provide unique tools for the study of ER-associated degradation.

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Review 7.  Unfolded Protein Response Pathways in Neurodegenerative Diseases.

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9.  Unraveling the contribution of pancreatic beta-cell suicide in autoimmune type 1 diabetes.

Authors:  Majid Jaberi-Douraki; Santiago Schnell; Massimo Pietropaolo; Anmar Khadra
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10.  BiP clustering facilitates protein folding in the endoplasmic reticulum.

Authors:  Marc Griesemer; Carissa Young; Anne S Robinson; Linda Petzold
Journal:  PLoS Comput Biol       Date:  2014-07-03       Impact factor: 4.475

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