Evidence map›Paper›PMID 35076688›Full record

ReviewBiochemical Society transactions2022

Molecular regulation of autophagosome formation.

Yan Hu, Fulvio Reggiori

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Article
  3. Autophagy modulation in cancer.Nature reviews. Drug discovery · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. TheCells · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Ceramide and the membrane-fusion activity of LC3/GABARAP autophagy proteins.Cellular and molecular life sciences : CMLS · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

2 authors.

Yan HuDepartment of Biomedical Sciences of Cells and Systems, Molecular Cell Biology Section, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-2285-2282
Fulvio ReggioriDepartment of Biomedical Sciences of Cells and Systems, Molecular Cell Biology Section, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-2285-2282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macroautophagy, hereafter autophagy, is a degradative process conserved among eukaryotes, which is essential to maintain cellular homeostasis. Defects in autophagy lead to numerous human diseases, including various types of cancer and neurodegenerative disorders. The hallmark of autophagy is the de novo formation of autophagosomes, which are double-membrane vesicles that sequester and deliver cytoplasmic materials to lysosomes/vacuoles for degradation. The mechanism of autophagosome biogenesis entered a molecular era with the identification of autophagy-related (ATG) proteins. Although there are many unanswered questions and aspects that have raised some controversies, enormous advances have been done in our understanding of the process of autophagy in recent years. In this review, we describe the current knowledge about the molecular regulation of autophagosome formation, with a particular focus on budding yeast and mammalian cells.

Indexed as

AutophagosomesMacroautophagyAnimalsAutophagyAutophagy-Related ProteinsHumansLysosomesMammalsAutophagy-Related ProteinsATG proteinsautophagydegradationlysosomesphagophoresequestration

Identifiers

PMID35076688
PMCPMC9022990

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.