Evidence map›Paper›PMID 26698872›Full record

ReviewBMB reports2016

Structure biology of selective autophagy receptors.

Byeong-Won Kim, Do Hoon Kwon, Hyun Kyu Song

Abstract readReview
In one paragraph

Review in BMB reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Emerging mechanisms of ATG8-independent non-canonical autophagy.Journal of physiology and biochemistry · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Macroautophagy in CNS health and disease.Nature reviews. Neuroscience · 2022
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. The Peroxisome-Autophagy Redox Connection: A Double-Edged Sword?Frontiers in cell and developmental biology · 2021
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

3 authors.

Byeong-Won KimDepartment of Life Sciences, Korea University, Seoul 02841, Korea.
Do Hoon KwonDepartment of Life Sciences, Korea University, Seoul 02841, Korea.
Hyun Kyu SongDepartment of Life Sciences, Korea University, Seoul 02841, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is a process tightly regulated by various autophagy-related proteins. It is generally classified into non-selective and selective autophagy. Whereas non-selective autophagy is triggered when the cell is under starvation, selective autophagy is involved in eliminating dysfunctional organelles, misfolded and/or ubiquitylated proteins, and intracellular pathogens. These components are recognized by autophagy receptors and delivered to phagophores. Several selective autophagy receptors have been identified and characterized. They usually have some common domains, such as LC3-interacting- region (LIR) motif, a specific cargo interacting (ubiquitin-dependent or ubiquitin-independent) domain. Recently, structural data of these autophagy receptors has been described, which provides an insight of their function in the selective autophagic process. In this review, we summarize the most up-to-date findings about the structure-function of autophagy receptors that regulates selective autophagy.

Indexed as

AutophagyAmino Acid MotifsAnimalsHumansModels, MolecularProtein Structure, TertiaryReceptors, Cell SurfaceUbiquitinReceptors, Cell SurfaceUbiquitin

Identifiers

PMID26698872
PMCPMC4915120

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.