Evidence map›Paper›PMID 34208707›Full record

ArticleCells2021

Mapping Surface Charge Distribution of Single-Cell via Charged Nanoparticle.

Leixin Ouyang, Rubia Shaik, Ruiting Xu, Ge Zhang, Jiang Zhe

Abstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Albumin Nanoparticle-Based Drug Delivery Systems.International journal of nanomedicine · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Leixin OuyangDepartment of Mechanical Engineering, University of Akron, Akron, OH 44325, USA.
Rubia ShaikDepartment of Biomedical Engineering, University of Akron, Akron, OH 44325, USA.
Ruiting XuDepartment of Mechanical Engineering, University of Akron, Akron, OH 44325, USA.
Ge ZhangDepartment of Biomedical Engineering, University of Akron, Akron, OH 44325, USA.
Jiang ZheDepartment of Mechanical Engineering, University of Akron, Akron, OH 44325, USA.ORCID 0000-0002-5452-549X

Funding

National Science Foundation DBI-1911526National Science Foundation ECCS-1905786
6 · The paper itself

Abstract

Many bio-functions of cells can be regulated by their surface charge characteristics. Mapping surface charge density in a single cell's surface is vital to advance the understanding of cell behaviors. This article demonstrates a method of cell surface charge mapping via electrostatic cell-nanoparticle (NP) interactions. Fluorescent nanoparticles (NPs) were used as the marker to investigate single cells' surface charge distribution. The nanoparticles with opposite charges were electrostatically bonded to the cell surface; a stack of fluorescence distribution on a cell's surface at a series of vertical distances was imaged and analyzed. By establishing a relationship between fluorescent light intensity and number of nanoparticles, cells' surface charge distribution was quantified from the fluorescence distribution. Two types of cells, human umbilical vein endothelial cells (HUVECs) and HeLa cells, were tested. From the measured surface charge density of a group of single cells, the average zeta potentials of the two types of cells were obtained, which are in good agreement with the standard electrophoretic light scattering measurement. This method can be used for rapid surface charge mapping of single particles or cells, and can advance cell-surface-charge characterization applications in many biomedical fields.

Indexed as

NanoparticlesCell MembraneHeLa CellsHumansHuman Umbilical Vein Endothelial CellsMicroscopy, Fluorescencecell surface chargecharged nanoparticlesurface charge mapping

Identifiers

PMID34208707
PMCPMC8235745

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.