Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 413

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Fine-Tuning of the Unfolded Protein Response: Assembling the IRE1α Interactome

Open access
Hetz, Claudio, Glimcher, Laurie H.·2009·Molecular Cell

Abstract

Endoplasmic reticulum (ER) stress is a hallmark feature of secretory cells and many diseases including cancer, neurodegeneration, and diabetes. Adaptation to protein folding stress is mediated by the activation of an integrated signal transduction pathway known as the unfolded protein response (UPR). The UPR signals through three distinct stress sensors located at the ER membrane, IRE1α, ATF6 and PERK. Although PERK and IRE1α share functionally similar ER-luminal sensing domains and both are simultaneously activated in cellular paradigms of ER stress in vitro, they are selectively engaged in vivo by the physiological stress of unfolded proteins. The differences in terms of tissue-specific regulation of the UPR may be explained by the formation of distinct regulatory protein complexes. This concept is supported by the recent identification of adaptor and modulator proteins that directly interact with IRE1α. In this review we discuss recent evidence supporting a model where IRE1α signaling emerges as a highly regulated process, controlled by the formation of a dynamic scaffold onto which many regulatory components assemble.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.molcel.2009.08.021

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

See all 413

Metadata

Authors
Hetz, C., & Glimcher, L. H.
Venue
Molecular Cell
Publisher
Elsevier BV
Published
2009-09
Volume
35
Issue
5
Pages
551-561
ISSN
1097-2765 (ISSN-L)
OpenAlex
W2157515789
Cited by
413
References
7
FWCI
14.55
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Fine-Tuning of the Unfolded Protein Response: Assembling the IRE1α Interactome. https://app.cochat.ai/papers/10.1016/j.molcel.2009.08.021
The paper
Hetz, C., & Glimcher, L. H. (2009). Fine-Tuning of the Unfolded Protein Response: Assembling the IRE1α Interactome. Molecular Cell. https://doi.org/10.1016/j.molcel.2009.08.021

Data sources

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.