Evidence map›Paper›PMID 20512144›Full record

ArticleNature methods2010

Probabilistic density maps to study global endomembrane organization.

Kristine Schauer, Tarn Duong, Kevin Bleakley, Sabine Bardin, Michel Bornens, Bruno Goud

Abstract read
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In one paragraph

Article in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 100 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Spatial organization of lysosomal exocytosis relies on membrane tension gradients.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Endomembranes: Unsung Heroes of Mechanobiology?Frontiers in bioengineering and biotechnology · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Mapping intracellular mechanics on micropatterned substrates.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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

6 authors at 2 institutions in 1 country.

Kristine SchauerUnité Mixte de Recherche 144, Centre National de la Recherche Scientifique, Institut Curie, Laboratory Molecular Mechanisms of Intracellular Transport, Paris, France. kristine.schauer@curie.fr <kristine.schauer@curie.fr>
Tarn Duong
Kevin Bleakley
Sabine Bardin
Michel Bornens
Bruno Goud
Centre National de la Recherche Scientifique · FRInstitut Curie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a computational imaging approach that describes the three-dimensional spatial organization of endomembranes from micromanipulation-normalized mammalian cells with probabilistic density maps. Applied to several well-known marker proteins, this approach revealed the average steady-state organization of early endosomes, multivesicular bodies or lysosomes, endoplasmic reticulum exit sites, the Golgi apparatus and Golgi-derived transport carriers in crossbow-shaped cells. The steady-state organization of each tested endomembranous population was well-defined, unique and in some cases depended on the cellular adhesion geometry. Density maps of all endomembrane populations became stable when pooling several tens of cells only and were reproducible in independent experiments, allowing construction of a standardized cell model. We detected subtle changes in steady-state organization induced by disruption of the cellular cytoskeleton, with statistical significance observed for just 20 cells. Thus, combining micropatterning with construction of endomembrane density maps allows the systematic study of intracellular trafficking determinants.

Indexed as

Image Processing, Computer-AssistedBiomarkersCell LineCytoskeletonGene SilencingHumansIntracellular MembranesNocodazoleProtein TransportReproducibility of ResultsTubulin ModulatorsBiomarkersNocodazoleTubulin Modulators

Identifiers

PMID20512144
OpenAlexW2167521584

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.