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Repertoires of Autophagy in the Pathogenesis of Ocular Diseases
Open accessAbstract
Autophagy is an important intracellular degradative process that delivers cytoplasmic proteins to lysosome for degradation. Dysfunction of autophagy is implicated in several human diseases, such as neurodegenerative diseases, infectious diseases, and cancers. Autophagy-related proteins are constitutively expressed in the eye. Increasing studies have revealed that abnormal autophagy is an important pathological feature of several ocular diseases. Pharmacological manipulation of autophagy may provide an alternative therapeutic target for some ocular diseases. In this manuscript, we reviewed the relevant progress about the role of autophagy in the pathogenesis of ocular diseases.
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Self-citation
Metadata
- Authors
- Li, Y.-J., Jiang, Q., Cao, G.-F., Yao, J., & Yan, B.
- Venue
- Cellular Physiology and Biochemistry
- Publisher
- S. Karger AG
- Published
- 2015
- Volume
- 35
- Issue
- 5
- Pages
- 1663-1676
- ISSN
- 1015-8987 (ISSN-L)
- 1421-9778
- OpenAlex
- W1523693806
- Cited by
- 16,304
- References
- 102
- FWCI
- 1385.23
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by-nc/3.0/ (vor)
- creativecommons.org/licenses/by-nc/3.0/ (tdm)
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 ›
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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.