Abstract
Increased 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.
MeSH Terms
Animals
Endoplasmic Reticulum/physiology
Gene Expression Regulation
Insulin-Secreting Cells/metabolism
Models, Chemical
Molecular Chaperones/biosynthesis
Protein Biosynthesis
Protein Transport
Proteins/metabolism
Species Specificity
Yeasts/metabolism
eIF-2 Kinase
Chemicals
Molecular Chaperones
Proteins
PERK kinase
eIF-2 Kinase
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Trusina Ala
California Institute for Quantitative Biosciences, University of California, San Francisco, CA 94158, USA.
Papa Feroz R
Tang Chao
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