Evidence map›Paper›PMID 22718754›Full record

ArticleThe Journal of biological chemistry2012

Endosomal sorting complex required for transport (ESCRT) complexes induce phase-separated microdomains in supported lipid bilayers.

Evzen Boura, Vassili Ivanov, Lars-Anders Carlson, Kiyoshi Mizuuchi, James H Hurley

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

46 citing papers in PubMed, 70 citations in OpenAlex.

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  16. Extracellular vesicle-matrix interactions.Nature reviews. Materials · 2023
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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

5 authors at 2 institutions in 1 country.

Evzen BouraLaboratory of Molecular Biology, NIDDK, National Institutes of Health, Bethesda, Maryland 20892, USA.
Vassili Ivanov
Lars-Anders Carlson
Kiyoshi Mizuuchi
James H Hurley
National Institute of Diabetes and Digestive and Kidney Diseases · USNational Institutes of Health · US

Funding

Cargo Sorting and Intralumenal Vesicle Budding by the ESCRT ComplexesZIADK036123 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HURLEY, JAMES · 2009 to 2013
$2.6M
Intramural NIH HHS
6 · The paper itself

Abstract

The endosomal sorting complex required for transport (ESCRT) system traffics ubiquitinated cargo to lysosomes via an unusual membrane budding reaction that is directed away from the cytosol. Here, we show that human ESCRT-II self-assembles into clusters of 10-100 molecules on supported lipid bilayers. The ESCRT-II clusters are functional in that they bind to ubiquitin and the ESCRT-III subunit VPS20 at nanomolar concentrations on membranes with the same stoichiometries observed in solution and in crystals. The clusters only form when cholesterol is included in the lipid mixture at >10 mol %. The clusters induce the formation of ordered membrane domains that exclude the dye 1,1'-dioctadecyl-3,3,3',3'-tetramethylindodicarbo-cyanine perchlorate. These results show that ESCRT complexes are capable of inducing lateral lipid phase separation under conditions where the lipids themselves do not spontaneously phase-separate. This property could facilitate ESCRT-mediated membrane budding.

Indexed as

Endosomal Sorting Complexes Required for TransportFluorescent DyesHumansLipid BilayersMembrane MicrodomainsProtein SubunitsRecombinant ProteinsEndosomal Sorting Complexes Required for TransportFluorescent DyesLipid BilayersProtein SubunitsRecombinant Proteins

Identifiers

PMID22718754
PMCPMC3431677
OpenAlexW2112493214

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.