Evidence map›Paper›PMID 33663596›Full record

ReviewCell & bioscience2021

Centrosome-phagy: implications for human diseases.

Qi Wu, Xin Yu, Le Liu, Shengrong Sun, Si Sun

Abstract readReview
In one paragraph

Review in Cell & bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qi Wu *Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, 238 Ziyang Road, Wuhan, 430060, Hubei, People's Republic of China.
Xin Yu *Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, 238 Ziyang Road, Wuhan, 430060, Hubei, People's Republic of China.
Le LiuCenter of Ultramicroscopic Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.
Shengrong SunDepartment of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, 238 Ziyang Road, Wuhan, 430060, Hubei, People's Republic of China. sun137@sina.com.ORCID http://orcid.org/0000-0003-2893-6735
Si SunDepartment of Clinical Laboratory, Renmin Hospital of Wuhan University, 238 Ziyang Road, Wuhan, 430060, Hubei, People's Republic of China. 59333173@qq.com.

Funding

Graduate Research and Innovation Projects of Jiangsu Province (CN) WJ2019Q053National Key Scientific Instrument and Equipment Development Projects of China 2012YQ160203National Natural Science Foundation of China 81471781National Natural Science Foundation of China 81903166Natural Science Foundation of Hubei 2018CKB916
6 · The paper itself

Abstract

Autophagy is a prominent mechanism to preserve homeostasis and the response to intracellular or extracellular stress. Autophagic degradation can be selectively targeted to dysfunctional subcellular compartments. Centrosome homeostasis is pivotal for healthy proliferating cells, but centrosome aberration is a hallmark of diverse human disorders. Recently, a process called centrosome-phagy has been identified. The process involves a panel of centrosomal proteins and centrosome-related pathways that mediate the specific degradation of centrosomal components via the autophagic machinery. Although autophagy normally mediates centrosome homeostasis, autophagy defects facilitate ageing and multiple human diseases, such as ciliopathies and cancer, which benefit from centrosome aberration. Here, we discuss the molecular systems that trigger centrosome-phagy and its role in human disorders.

Indexed as

AgingAutophagyCancerCentrosomeCiliopathies

Identifiers

PMID33663596
PMCPMC7934278

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.