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Cited by 303

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Unfolded Protein Response Signaling and Metabolic Diseases

Open access
Lee, Jaemin, Ozcan, Umut·2014·Journal of Biological Chemistry

Abstract

The endoplasmic reticulum (ER) is a central organelle for protein biosynthesis, folding, and traffic. Perturbations in ER homeostasis create a condition termed ER stress and lead to activation of the complex signaling cascade called the unfolded protein response (UPR). Recent studies have documented that the UPR coordinates multiple signaling pathways and controls various physiologies in cells and the whole organism. Furthermore, unresolved ER stress has been implicated in a variety of metabolic disorders, such as obesity and type 2 diabetes. Therefore, intervening in ER stress and modulating signaling components of the UPR would provide promising therapeutics for the treatment of human metabolic diseases. The endoplasmic reticulum (ER) is a central organelle for protein biosynthesis, folding, and traffic. Perturbations in ER homeostasis create a condition termed ER stress and lead to activation of the complex signaling cascade called the unfolded protein response (UPR). Recent studies have documented that the UPR coordinates multiple signaling pathways and controls various physiologies in cells and the whole organism. Furthermore, unresolved ER stress has been implicated in a variety of metabolic disorders, such as obesity and type 2 diabetes. Therefore, intervening in ER stress and modulating signaling components of the UPR would provide promising therapeutics for the treatment of human metabolic diseases.

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Metadata

Authors
Lee, J., & Ozcan, U.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2014-01
Volume
289
Issue
3
Pages
1203-1211
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2025347981
Cited by
303
References
9
FWCI
17.34
Type
journal article
Language
en
Open access
hybrid

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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