Evidence map›Paper›PMID 35274534›Full record

ArticleACS nano2022

A Single-Molecule View at Nanoparticle Targeting Selectivity: Correlating Ligand Functionality and Cell Receptor Density.

Laura Woythe, Pranav Madhikar, Natalia Feiner-Gracia, Cornelis Storm, Lorenzo Albertazzi

Abstract read
In one paragraph

Article in ACS nano, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. The Reality of Active Targeting in Nanomedicine: Promise Versus Performance.Chembiochem : a European journal of chemical biology · 2026
    Review
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  8. cDC1 Subtype-Specific In Vivo Targeting of Liposomes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Review
  10. Article
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  12. Article
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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

5 authors.

Laura WoytheDepartment of Biomedical Engineering, Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven 5612AZ, The Netherlands.ORCID 0000-0002-3125-130X
Pranav MadhikarDepartment of Applied Physics, Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Den Dolech 2, 5600MB Eindhoven, The Netherlands.
Natalia Feiner-GraciaDepartment of Biomedical Engineering, Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven 5612AZ, The Netherlands.
Cornelis StormDepartment of Applied Physics, Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Den Dolech 2, 5600MB Eindhoven, The Netherlands.
Lorenzo AlbertazziInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona 08036, Spain.ORCID 0000-0002-6837-0812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-functionalized nanoparticles (NPs) are commonly used to increase the targeting selectivity toward cells of interest. At a molecular level, the number of functional antibodies on the NP surface and the density of receptors on the target cell determine the targeting interaction. To rationally develop selective NPs, the single-molecule quantitation of both parameters is highly desirable. However, techniques able to count molecules with a nanometric resolution are scarce. Here, we developed a labeling approach to quantify the number of functional cetuximabs conjugated to NPs and the expression of epidermal growth factor receptors (EGFRs) in breast cancer cells using direct stochastic optical reconstruction microscopy (dSTORM). The single-molecule resolution of dSTORM allows quantifying molecules at the nanoscale, giving a detailed insight into the distributions of individual NP ligands and cell receptors. Additionally, we predicted the fraction of accessible antibody-conjugated NPs using a geometrical model, showing that the total number exceeds the accessible number of antibodies. Finally, we correlated the NP functionality, cell receptor density, and NP uptake to identify the highest cell uptake selectivity regimes. We conclude that single-molecule functionality mapping using dSTORM provides a molecular understanding of NP targeting, aiding the rational design of selective nanomedicines.

Indexed as

NanoparticlesNanotechnologyLigandsMicroscopyNanomedicineLigandsactive targetingdSTORMheterogeneitynanomedicinenanoparticle functionalitysuper-resolution microscopy

Identifiers

PMID35274534
PMCPMC8945370

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.