Evidence map›Paper›PMID 23765164›Full record

ReviewHistochemistry and cell biology2013

Retrograde transport of protein toxins through the Golgi apparatus.

Kirsten Sandvig, Tore Skotland, Bo van Deurs, Tove Irene Klokk

Abstract readReview
PubMed Publisher
In one paragraph

Review in Histochemistry and cell biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. Revisiting the role of Annexins in membrane trafficking.Cellular and molecular life sciences : CMLS · 2025
    Review
  3. Subchronic Inhalation of TiOJournal of applied toxicology : JAT · 2025
    Article
  4. Article
  5. The diverse landscape of AB5-type toxins.Engineering microbiology · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. How Do Biomolecules Cross the Cell Membrane?Accounts of chemical research · 2022
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
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.

Kirsten SandvigCentre for Cancer Biomedicine, University of Oslo, Oslo, Norway. ksandvig@radium.uio.no
Tore Skotland
Bo van Deurs
Tove Irene Klokk
University of Oslo · NOUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of protein toxins from plants and bacteria take advantage of transport through the Golgi apparatus to gain entry into the cytosol where they exert their action. These toxins include the plant toxin ricin, the bacterial Shiga toxins, and cholera toxin. Such toxins bind to lipids or proteins at the cell surface, and they are endocytosed both by clathrin-dependent and clathrin-independent mechanisms. Sorting to the Golgi and retrograde transport to the endoplasmic reticulum (ER) are common to these toxins, but the exact mechanisms turn out to be toxin and cell-type dependent. In the ER, the enzymatically active part is released and then transported into the cytosol, exploiting components of the ER-associated degradation system. In this review, we will discuss transport of different protein toxins, but we will focus on factors involved in entry and sorting of ricin and Shiga toxin into and through the Golgi apparatus.

Indexed as

Cholera ToxinCytosolEndoplasmic ReticulumGolgi ApparatusModels, MolecularProtein TransportRicinShiga ToxinsCholera ToxinRicinShiga Toxins

Identifiers

PMID23765164
OpenAlexW2041350861

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.