Evidence map›Paper›PMID 16488176›Full record

ReviewTrends in plant science2006

Exploring the ESCRTing machinery in eukaryotes.

Verena Winter, Marie-Theres Hauser

Open access · greenAbstract readReview
In one paragraph

Review in Trends in plant science, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

103 citing papers in PubMed, 1 synthesis or guideline pooled it, 184 citations in OpenAlex.

  1. Pooled it
  2. Green nanomedicine for cancer therapy.Chinese medical journal · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Post-Golgi Trafficking in Plant Cells.Sub-cellular biochemistry · 2026
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Endosomal membrane budding patterns in plants.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

43 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 at 1 institution in 1 country.

Verena WinterInstitute of Applied Genetics and Cell Biology, Department of Applied Plant Sciences and Plant Biotechnology, BOKU - University of Natural Resources and Applied Life Sciences, Vienna, Austria.
Marie-Theres Hauser
BOKU University · AT

Funding

Austrian Science Fund FWF P 16410
6 · The paper itself

Abstract

The profile of protein sorting into multivesicular bodies (MVBs) has risen recently with the identification of three heteromeric complexes known as ESCRT-I,-II,-III (Endosomal Sorting Complex Required for Transport). Genetic analyses in yeast have identified up to 15 soluble class E VPS (vacuolar protein sorting) proteins that have been assigned to the ESCRT machinery and function in cargo recognition and sorting, complex assembly, vesicle formation and dissociation. Despite their functional importance in yeast and mammalian cells, little is known about their presence and function in other organisms including plants. We have made use of the fully sequenced genomes of Arabidopsis thaliana and Oryza sativa, Drosophila melanogaster and Caenorhabditis elegans to explore the identity, structural characteristics and phylogenetic relationships of proteins assigned to the ESCRT machinery.

Indexed as

AnimalsCarrier ProteinsEndosomesEukaryotic CellsHumansMultiprotein ComplexesPhylogenyPlantsProtein TransportCarrier ProteinsMultiprotein Complexes

Identifiers

PMID16488176
PMCPMC2865992
OpenAlexW2027286196

What OpenQuestion holds

Textmetadata
LicenceTDM
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.