Evidence map›Paper›PMID 30589899›Full record

ArticlePloS one2018

BioID identifies proteins involved in the cell biology of caveolae.

C Mendoza-Topaz, I Yeow, K Riento, B J Nichols

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Caveolae mechanics in cellular functions and disease.Nature reviews. Molecular cell biology · 2026
    Review
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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

4 authors at 1 institution in 1 country.

C Mendoza-TopazMRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
I YeowMRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
K RientoMRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
B J NicholsMRC Laboratory of Molecular Biology, Cambridge, United Kingdom.ORCID 0000-0001-5392-7182
MRC Laboratory of Molecular Biology · GB

Funding

Medical Research Council MC_U105178778
6 · The paper itself

Abstract

The mechanisms controlling the abundance and sub-cellular distribution of caveolae are not well described. A first step towards determining such mechanisms would be identification of relevant proteins that interact with known components of caveolae. Here, we applied proximity biotinylation (BioID) to identify a list of proteins that may interact with the caveolar protein cavin1. Screening of these candidates using siRNA to reduce their expression revealed that one of them, CSDE1, regulates the levels of mRNAs and protein expression for multiple components of caveolae. A second candidate, CD2AP, co-precipitated with cavin1. Caveolar proteins were observed in characteristic and previously un-described linear arrays adjacent to cell-cell junctions in both MDCK cells, and in HeLa cells overexpressing an active form of the small GTPase Rac1. CD2AP was required for the recruitment of caveolar proteins to these linear arrays. We conclude that BioID will be useful in identification of new proteins involved in the cell biology of caveolae, and that interaction between CD2AP and cavin1 may have an important role in regulating the sub-cellular distribution of caveolae.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsCaveolaeCytoskeletal ProteinsDNA-Binding ProteinsDogsHeLa CellsHumansMadin Darby Canine Kidney Cellsrac1 GTP-Binding ProteinRNA, Small InterferingAdaptor Proteins, Signal TransducingCD2-associated proteinCytoskeletal ProteinsDNA-Binding Proteinsrac1 GTP-Binding ProteinRNA, Small Interfering

Identifiers

PMID30589899
PMCPMC6307745
OpenAlexW2907194652

What OpenQuestion holds

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LicenceCC BY
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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.