Evidence map›Paper›PMID 28383528›Full record

ArticleScientific reports2017

The effect of the serum corona on interactions between a single nano-object and a living cell.

Yael Dror, Raya Sorkin, Guy Brand, Olga Boubriak, Jill Urban, Jacob Klein

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yael DrorMaterials and Interfaces Department, Weizmann Institute of Science, Rehovot 76100, Israel.
Raya SorkinMaterials and Interfaces Department, Weizmann Institute of Science, Rehovot 76100, Israel.
Guy BrandMaterials and Interfaces Department, Weizmann Institute of Science, Rehovot 76100, Israel.
Olga BoubriakUniversity Laboratory of Physiology, Oxford University, Parks Road, Oxford OX1 3PT, United Kingdom.
Jill UrbanUniversity Laboratory of Physiology, Oxford University, Parks Road, Oxford OX1 3PT, United Kingdom.
Jacob KleinMaterials and Interfaces Department, Weizmann Institute of Science, Rehovot 76100, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles (NPs) which enter physiological fluids are rapidly coated by proteins, forming a so-called corona which may strongly modify their interaction with tissues and cells relative to the bare NPs. In this work the interactions between a living cell and a nano-object, and in particular the effect on this of the adsorption of serum proteins, are directly examined by measuring the forces arising as an Atomic Force Microscope tip (diameter 20 nm) - simulating a nano-object - approaches and contacts a cell. We find that the presence of a serum protein corona on the tip strongly modifies the interaction as indicated by pronounced increase in the indentation, hysteresis and work of adhesion compared to a bare tip. Classically one expects an AFM tip interacting with a cell surface to be repelled due to cell elastic distortion, offset by tip-cell adhesion, and indeed such a model fits the bare-tip/cell interaction, in agreement with earlier work. However, the force plots obtained with serum-modified tips are very different, indicating that the cell is much more compliant to the approaching tip. The insights obtained in this work may promote better design of NPs for drug delivery and other nano-medical applications.

Indexed as

AnimalsBlood ProteinsCattleCell AdhesionElastic ModulusFibroblastsMicroscopy, Atomic ForceNanoparticlesPrimary Cell CultureBlood Proteins

Identifiers

PMID28383528
PMCPMC5382918

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.