Evidence map›Paper›PMID 31311175›Full record

ReviewInternational journal of molecular sciences2019

Development and Applications of Superfolder and Split Fluorescent Protein Detection Systems in Biology.

Jean-Denis Pedelacq, Stéphanie Cabantous

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Labeling Corynebacterium pseudotuberculosis using superfolder green fluorescent protein to evaluate its infection in macrophages.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  8. Review
  9. Screening microorganisms with robust and stable protein expression and secretion capacity.Protein science : a publication of the Protein Society · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Jean-Denis PedelacqInstitut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, 31077 Toulouse, France. jean-denis.pedelacq@ipbs.fr.
Stéphanie CabantousCentre de Recherche en Cancérologie de Toulouse (CRCT), Inserm, Université Paul Sabatier-Toulouse III, CNRS, 31037 Toulouse, France. stephanie.cabantous@inserm.fr.ORCID 0000-0002-8406-9421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular engineering of the green fluorescent protein (GFP) into a robust and stable variant named Superfolder GFP (sfGFP) has revolutionized the field of biosensor development and the use of fluorescent markers in diverse area of biology. sfGFP-based self-associating bipartite split-FP systems have been widely exploited to monitor soluble expression in vitro, localization, and trafficking of proteins in cellulo. A more recent class of split-FP variants, named « tripartite » split-FP, that rely on the self-assembly of three GFP fragments, is particularly well suited for the detection of protein-protein interactions. In this review, we describe the different steps and evolutions that have led to the diversification of superfolder and split-FP reporter systems, and we report an update of their applications in various areas of biology, from structural biology to cell biology.

Indexed as

AnimalsGreen Fluorescent ProteinsHumansMicroscopy, FluorescenceProtein EngineeringProtein FoldingGreen Fluorescent Proteinsbipartitefluorescent proteinfoldingPPIsplit-GFPsuperfoldertripartite

Identifiers

PMID31311175
PMCPMC6678664

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.