Evidence map›Paper›PMID 28697897›Full record

ArticleBiophysical journal2017

Measuring Protein Binding to Lipid Vesicles by Fluorescence Cross-Correlation Spectroscopy.

Daniela Krüger, Jan Ebenhan, Stefan Werner, Kirsten Bacia

Abstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Organelle-specific targeting of polymersomes into the cell nucleus.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Navigating the Landscape of Tumor Extracellular Vesicle Heterogeneity.International journal of molecular sciences · 2019
    Review
  16. 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

4 authors.

Daniela KrügerInstitut für Chemie, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Jan EbenhanInstitut für Chemie, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Stefan WernerInstitut für Chemie, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Kirsten BaciaInstitut für Chemie, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany. Electronic address: kirsten.bacia@chemie.uni-halle.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence correlation spectroscopy has been previously used to investigate peptide and protein binding to lipid membranes, as it allows for very low amounts of sample, short measurement times and equilibrium binding conditions. Labeling only one of the binding partners, however, comes with certain drawbacks, as it relies on identifying binding events by a change in diffusion coefficient. Since peptide and protein aggregation can obscure specific binding, and since non-stoichiometric binding necessitates the explicit choice of a statistical distribution for the number of bound ligands, we additionally label the liposomes and perform dual-color fluorescence cross-correlation spectroscopy (dcFCCS). We develop a theoretical framework showing that dcFCCS amplitudes allow calculation of the degree of ligand binding and the concentration of unbound ligand, leading to a model-independent binding curve. As the degree of labeling of the ligands does not factor into the measured quantities, it is permissible to mix labeled and unlabeled ligand, thereby extending the range of usable protein concentrations and accessible dissociation constants, K

Indexed as

Protein BindingGTP PhosphohydrolasesLiposomesMicroscopy, ConfocalMicroscopy, FluorescenceModels, ChemicalSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSpectrometry, FluorescenceGTP PhosphohydrolasesLiposomesSaccharomyces cerevisiae Proteins

Identifiers

PMID28697897
PMCPMC5607055

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.