Evidence map›Paper›PMID 29909716›Full record

ArticleAutophagy2018

Measuring autophagosome flux.

Andre du Toit, Jan-Hendrik S Hofmeyr, Thomas J Gniadek, Ben Loos

Open access · bronzeAbstract read
In one paragraph

Article in Autophagy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
9.6field-weighted citation impact, top 1% of its field
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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Frontiers in pharmacology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Assessment of Autophagy in Leishmania Parasites.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  19. Autophagy in oral cancer: Promises and challenges (Review).International journal of molecular medicine · 2024
    Review
  20. Basal State Calibration of a Chemical Reaction Network Model for Autophagy.International journal of molecular sciences · 2024
    Article

9 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

4 authors at 2 institutions in 2 countries.

Andre du Toita Department of Biochemistry, Faculty of Natural Sciences , University of Stellenbosch , Stellenbosch , South Africa.
Jan-Hendrik S Hofmeyra Department of Biochemistry, Faculty of Natural Sciences , University of Stellenbosch , Stellenbosch , South Africa.ORCID 0000-0002-1542-459X
Thomas J Gniadekb Department of Laboratory Medicine and Pathology , University of Minnesota , Minneapolis , MN , USA.
Ben Loosc Department of Physiological Sciences, Faculty of Natural Sciences , University of Stellenbosch , Stellenbosch , South Africa.ORCID 0000-0002-5517-373X
Stellenbosch University · ZAUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macroautophagy/autophagy is a proteolytic pathway that is involved in both bulk degradation of cytoplasmic proteins as well as in selective degradation of cytoplasmic organelles. Autophagic flux is often defined as a measure of autophagic degradation activity, and many techniques exist to assess autophagic flux. Although these techniques have generated invaluable information about the autophagic system, the quest continues for developing methods that not only enhance sensitivity and provide a means of quantification, but also accurately reflect the dynamic character of the pathway. Based on the theoretical framework of metabolic control analysis, where the autophagosome flux is the quantitative description of the rate a flow along a pathway, here we treat the autophagy system as a multi-step pathway. We describe a single-cell fluorescence live-cell imaging-based approach that allows the autophagosome flux to be accurately measured. This method characterizes autophagy in terms of its complete autophagosome and autolysosome pool size, the autophagosome flux, J, and the transition time, τ, for autophagosomes and autolysosomes at steady state. This approach provides a sensitive quantitative method to measure autophagosome flux, pool sizes and transition time in cells and tissues of clinical relevance. ABBREVIATIONS: ATG5/APG5, autophagy-related 5; GFP, green fluorescent protein; LAMP1, lysosomal-associated membrane protein 1; MAP1LC3/LC3, microtubule-associated protein 1 light chain 3; J, flux; MEF, mouse embryonic fibroblast; MTOR, mechanistic target of rapamycin kinase; nA, number of autophagosomes; nAL, number of autolysosomes; nL, number of lysosomes; p-MTOR, phosphorylated mechanistic target of rapamycin kinase; RFP, red fluorescent protein; siRNA, small interfering RNA; τ, transition time; TEM, transmission electron microscopy.

Indexed as

AnimalsAutophagosomesCell SurvivalImage Processing, Computer-AssistedLysosomesMiceMicroscopy, FluorescenceSingle-Cell AnalysisSirolimusTime FactorsSirolimusAutophagosome fluxautophagyfluorescence microscopysteady-statetransition time

Identifiers

PMID29909716
PMCPMC6103398
OpenAlexW2807909158

What OpenQuestion holds

Textmetadata
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.