Evidence map›Paper›PMID 37388690›Full record

ArticleJACS Au2023

Quartz Crystal Microbalance Method to Measure Nanoparticle-Receptor Interactions and Evaluate Nanoparticle Design Efficiency.

James A Behan, Zengchun Xie, Yi-Feng Wang, Xiaoliang Yang, Teodor Aastrup, Yan Yan, Laurent Adumeau, Kenneth A Dawson

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Article in JACS Au, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

8 authors.

James A BehanCentre for BioNano Interactions, School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland.
Zengchun XieCentre for BioNano Interactions, School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland.
Yi-Feng WangCentre for BioNano Interactions, School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland.
Xiaoliang YangCentre for BioNano Interactions, School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland.
Teodor AastrupAttana AB, Greta Arwidssons Väg 21, Stockholm SE-11419, Sweden.
Yan YanUCD Conway Institute of Biomolecular and Biomedical Research, School of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin 4, Ireland.ORCID https://orcid.org/0000-0003-2938-4063
Laurent AdumeauCentre for BioNano Interactions, School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland.ORCID https://orcid.org/0000-0001-7665-0577
Kenneth A DawsonCentre for BioNano Interactions, School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland.ORCID https://orcid.org/0000-0002-0568-6588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conjugation of biomolecules on the surface of nanoparticles (NPs) to achieve active targeting is widely investigated within the scientific community. However, while a basic framework of the physicochemical processes underpinning bionanoparticle recognition is now emerging, the precise evaluation of the interactions between engineered NPs and biological targets remains underdeveloped. Here, we show how the adaptation of a method currently used to evaluate molecular ligand-receptor interactions by quartz crystal microbalance (QCM) can be used to obtain concrete insights into interactions between different NP architectures and assemblies of receptors. Using a model bionanoparticle grafted with oriented apolipoprotein E (ApoE) fragments, we examine key aspects of bionanoparticle engineering for effective interactions with target receptors. We show that the QCM technique can be used to rapidly measure construct-receptor interactions across biologically relevant exchange times. We contrast random adsorption of the ligand at the surface of the NPs, resulting in no measurable interaction with target receptors, to grafted oriented constructs, which are strongly recognized even at lower graft densities. The effects of other basic parameters impacting the interaction such as ligand graft density, receptor immobilization density, and linker length were also efficiently evaluated with this technique. Dramatic changes in interaction outcomes with subtle alterations in these parameters highlight the general importance of measuring the interactions between engineered NPs and target receptors ex situ early on in the construct development process for the rational design of bionanoparticles.

Identifiers

PMID37388690
PMCPMC10301671

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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.