Evidence map›Paper›PMID 28981124›Full record

ArticleNature protocols2017

Combining confocal and atomic force microscopy to quantify single-virus binding to mammalian cell surfaces.

Richard Newton, Martin Delguste, Melanie Koehler, Andra C Dumitru, Pawel R Laskowski, Daniel J Müller, David Alsteens

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2017. 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
5.6field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Biophysical investigation of interactions between SARS-CoV-2 spike protein and neuropilin-1.Protein science : a publication of the Protein Society · 2023
    Article
  9. Label-free microscopy for virus infections.Microscopy (Oxford, England) · 2023
    Article
  10. Deciphering molecular mechanisms stabilizing the reovirus-binding complex.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Quantifying molecular- to cellular-level forces in living cells.Journal of physics D: Applied physics · 2021
    Article
  17. Article
  18. Article
  19. Single-molecule calorimeter and free energy landscape.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Review
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

7 authors at 2 institutions in 3 countries.

Richard NewtonDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Martin DelgusteInstitute of Life Sciences, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Melanie KoehlerInstitute of Life Sciences, Université catholique de Louvain, Louvain-la-Neuve, Belgium.ORCID http://orcid.org/0000-0003-3042-1749
Andra C DumitruInstitute of Life Sciences, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Pawel R LaskowskiDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Daniel J MüllerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0003-3075-0665
David AlsteensInstitute of Life Sciences, Université catholique de Louvain, Louvain-la-Neuve, Belgium.ORCID http://orcid.org/0000-0001-9229-113X
Institute of Life Sciences · INETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past five years, atomic force microscopy (AFM)-based approaches have evolved into a powerful multiparametric tool set capable of imaging the surfaces of biological samples ranging from single receptors to membranes and tissues. One of these approaches, force-distance curve-based AFM (FD-based AFM), uses a probing tip functionalized with a ligand to image living cells at high-resolution and simultaneously localize and characterize specific ligand-receptor binding events. Analyzing data from FD-based AFM experiments using appropriate probabilistic models allows quantification of the kinetic and thermodynamic parameters that describe the free-energy landscape of the ligand-receptor bond. We have recently developed an FD-based AFM approach to quantify the binding events of single enveloped viruses to surface receptors of living animal cells while simultaneously observing them by fluorescence microscopy. This approach has provided insights into the early stages of the interaction between a virus and a cell. Applied to a model virus, we probed the specific interaction with cells expressing viral cognate receptors and measured the affinity of the interaction. Furthermore, we observed that the virus rapidly established specific multivalent interactions and found that each bond formed in sequence strengthened the attachment of the virus to the cell. Here we describe detailed procedures for probing the specific interactions of viruses with living cells; these procedures cover tip preparation, cell sample preparation, step-by-step FD-based AFM imaging and data analysis. Experienced microscopists should be able to master the entire set of protocols in 1 month.

Indexed as

Virus AttachmentAnimalsCell MembraneDogsHEK293 CellsHumansMadin Darby Canine Kidney CellsMicroscopy, Atomic ForceMicroscopy, ConfocalRabies virusVesiculovirus

Identifiers

PMID28981124
OpenAlexW2762701457

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.