Evidence map›Paper›PMID 34476234›Full record

ArticleFrontiers in cell and developmental biology2021

GFP-Tagged Protein Detection by Electron Microscopy Using a GBP-APEX Tool in

Fred Bernard, Julie Jouette, Catherine Durieu, Rémi Le Borgne, Antoine Guichet, Sandra Claret

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Fred BernardPolarity and Morphogenesis Team, Institut Jacques Monod, CNRS, UMR 7592, University of Paris, Paris, France.
Julie JouettePolarity and Morphogenesis Team, Institut Jacques Monod, CNRS, UMR 7592, University of Paris, Paris, France.
Catherine DurieuImagoseine Platform, Institut Jacques Monod, CNRS, UMR 7592, University of Paris, Paris, France.
Rémi Le BorgneImagoseine Platform, Institut Jacques Monod, CNRS, UMR 7592, University of Paris, Paris, France.
Antoine GuichetPolarity and Morphogenesis Team, Institut Jacques Monod, CNRS, UMR 7592, University of Paris, Paris, France.
Sandra ClaretPolarity and Morphogenesis Team, Institut Jacques Monod, CNRS, UMR 7592, University of Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cell biology, detection of protein subcellular localizations is often achieved by optical microscopy techniques and more rarely by electron microscopy (EM) despite the greater resolution offered by EM. One of the possible reasons was that protein detection by EM required specific antibodies whereas this need could be circumvented by using fluorescently-tagged proteins in optical microscopy approaches. Recently, the description of a genetically encodable EM tag, the engineered ascorbate peroxidase (APEX), whose activity can be monitored by electron-dense DAB precipitates, has widened the possibilities of specific protein detection in EM. However, this technique still requires the generation of new molecular constructions. Thus, we decided to develop a versatile method that would take advantage of the numerous GFP-tagged proteins already existing and create a tool combining a nanobody anti-GFP (GBP) with APEX. This GBP-APEX tool allows a simple and efficient detection of any GFP fusion proteins without the needs of specific antibodies nor the generation of additional constructions. We have shown the feasibility and efficiency of this method to detect various proteins in

Indexed as

APEXDrosophila melanogasterelectronic microscopyGBPgreen fluorescent proteinnanobodyovarian follicle

Identifiers

PMID34476234
PMCPMC8406855

What OpenQuestion holds

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Registered trials

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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.