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pubmed-article:19075238pubmed:abstractTextIncreased levels of unfolded proteins in the endoplasmic reticulum (ER) of all eukaryotes trigger the unfolded protein response (UPR). Lower eukaryotes solely use an ancient UPR mechanism, whereby they up-regulate ER-resident chaperones and other enzymatic activities to augment protein folding and enhance degradation of misfolded proteins. Metazoans have evolved an additional mechanism through which they attenuate translation of secretory pathway proteins by activating the ER protein kinase PERK. In mammalian professional secretory cells such as insulin-producing pancreatic beta-cells, PERK is highly abundant and crucial for proper functioning of the secretory pathway. Through a modeling approach, we propose explanations for why a translation attenuation (TA) mechanism may be critical for beta-cells, but is less important in nonsecretory cells and unnecessary in lower eukaryotes such as yeast. We compared the performance of a model UPR, both with and without a TA mechanism, by monitoring 2 variables: (i) the maximal increase in ER unfolded proteins during a response, and (ii) the accumulation of chaperones between 2 consecutive pulses of stress. We found that a TA mechanism is important for minimizing these 2 variables when the ER is repeatedly subjected to transient unfolded protein stresses and when it sustains a large flux of secretory pathway proteins which are both conditions encountered physiologically by pancreatic beta-cells. Low expression of PERK in nonsecretory cells, and its absence in yeast, can be rationalized by lower trafficking of secretory proteins through their ERs.lld:pubmed
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pubmed-article:19075238pubmed:authorpubmed-author:TangChaoClld:pubmed
pubmed-article:19075238pubmed:authorpubmed-author:TrusinaAlaAlld:pubmed
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pubmed-article:19075238pubmed:dateRevised2009-11-19lld:pubmed
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pubmed-article:19075238pubmed:articleTitleRationalizing translation attenuation in the network architecture of the unfolded protein response.lld:pubmed
pubmed-article:19075238pubmed:affiliationCalifornia Institute for Quantitative Biosciences, University of California, San Francisco, CA 94158, USA.lld:pubmed
pubmed-article:19075238pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:19075238pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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