Evidence map›Paper›PMID 25643150›Full record

ArticleNature methods2015

A sensor for quantification of macromolecular crowding in living cells.

Arnold J Boersma, Inge S Zuhorn, Bert Poolman

Abstract read
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In one paragraph

Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Article
  2. Review
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  7. Review
  8. Article
  9. A coarse-grained model for disordered proteins under crowded conditions.Protein science : a publication of the Protein Society · 2025
    Article
  10. Article
  11. Liposome-EncapsulatedACS synthetic biology · 2025
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

43 more citing papers are in PubMed but not listed here.

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

3 authors.

Arnold J Boersma1] Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, the Netherlands. [2] Zernike Institute for Advanced Materials, University of Groningen, Groningen, the Netherlands.
Inge S ZuhornDepartment of Cell Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Bert Poolman1] Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, the Netherlands. [2] Zernike Institute for Advanced Materials, University of Groningen, Groningen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macromolecular crowding in cells influences processes such as folding, association and diffusion of proteins and polynucleic acids. Direct spatiotemporal readout of crowding would be a powerful approach for unraveling the structure of the cytoplasm and determining the impact of excluded volume on protein function in living cells. Here, we introduce a genetically encodable fluorescence resonance energy transfer (FRET) sensor for quantifying macromolecular crowding and discuss our application of the sensor in bacterial and mammalian cells.

Indexed as

Fluorescence Resonance Energy TransferBacterial ProteinsBiosensing TechniquesCalibrationCytoplasmEscherichia coliGreen Fluorescent ProteinsHEK293 CellsHumansLuminescent ProteinsMacromolecular SubstancesMolecular ImagingMolecular Sequence DataRecombinant ProteinsBacterial ProteinsCyan Fluorescent ProteinGreen Fluorescent ProteinsLuminescent ProteinsMacromolecular SubstancesRecombinant Proteinsyellow fluorescent protein, Bacteria

Identifiers

PMID25643150

What OpenQuestion holds

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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.