Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 315

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Autophagy and Human Disease

Open access
Huang, Ju, Klionsky, Daniel J.·2007·Cell Cycle

Abstract

As a conserved cellular degradative pathway in eukaryotes, autophagy relieves cells from various types of stress. There are different forms of autophagy, and the ongoing studies of the molecular mechanisms and cellular functions of these processes are unraveling their significant roles in human health. Currently, the best-studied of these pathways is macroautophagy, which is linked to a range of human disease. For example, as part of the host immune defense mechanism, macroautophagy is activated to eliminate invasive pathogenic bacteria; however, in some cases bacteria subvert this process for their own replication. Autophagy also contributes to endogenous major histocompatibility complex class II antigen presentation, reflecting its role in adaptive immunity. In certain neurodegenerative diseases, which are associated with aggregation-prone proteins, macroautophagy plays a protective role in preventing or reducing cytotoxicity by clearance of the toxic proteins; however, the autophagy-dependent processing of some components correlates with the pathogenesis of certain myopathies. Finally, autophagy acts as a mechanism for tumor suppression, although some cancer cells use it as a cytoprotective mechanism. Thus, a fundamental paradox of autophagy is that it can act to promote both cell survival and cell death, depending on the specific conditions.

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 · 10.4161/cc.6.15.4511

Cites

23 of 23 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 23 references

Cited by

See all 315

Metadata

Authors
Huang, J., & Klionsky, D. J.
Venue
Cell Cycle
Published
2007-08
Volume
6
Issue
15
Pages
1837-1849
ISSN
  • 1538-4101 (ISSN-L)
  • 1551-4005
OpenAlex
W1992681494
Cited by
315
References
23
FWCI
17.17
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: Autophagy and Human Disease. https://app.cochat.ai/papers/10.4161/cc.6.15.4511
The paper
Huang, J., & Klionsky, D. J. (2007). Autophagy and Human Disease. Cell Cycle. https://doi.org/10.4161/cc.6.15.4511

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.