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Cited by 465

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Endoplasmic Reticulum Stress and the Development of Diabetes

Open access
Harding, Heather P., Ron, David·2002·Diabetes

Abstract

The early steps of insulin biosynthesis occur in the endoplasmic reticulum (ER), and the β-cell has a highly developed and active ER. All cells regulate the capacity of their ER to fold and process client proteins and they adapt to an imbalance between client protein load and folding capacity (so-called ER stress). Mutations affecting the ER stress-activated pancreatic ER kinase (PERK) and its downstream effector, the translation initiation complex eukaryotic initiation factor 2 (eIF2), have a profound impact on islet cell development, function, and survival. PERK mutations are associated with the Wolcott-Rallison syndrome of infantile diabetes and mutations that prevent the α-subunit of eIF2 from being phosphorylated by PERK, block β-cell development, and impair gluconeogenesis. We will review this and other rare forms of clinical and experimental diabetes and consider the role of ER stress in the development of more common forms of the disease.

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Crossref · 10.2337/diabetes.51.2007.s455

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Metadata

Authors
Harding, H. P., & Ron, D.
Venue
Diabetes
Published
2002-12-01
Volume
51
Issue
suppl_3
Pages
S455-S461
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2116380331
Cited by
465
References
71
FWCI
5.37
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Endoplasmic Reticulum Stress and the Development of Diabetes. https://app.cochat.ai/papers/10.2337/diabetes.51.2007.s455
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Harding, H. P., & Ron, D. (2002). Endoplasmic Reticulum Stress and the Development of Diabetes. Diabetes. https://doi.org/10.2337/diabetes.51.2007.s455

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.