Evidence map›Paper›PMID 37520860›Full record

ArticleTrends in analytical chemistry : TRAC2023

High-Throughput Single-Cell Analysis of Nanoparticle-Cell Interactions.

Majood Haddad, Alex Frickenstein, Stefan Wilhelm

Abstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Safety Landscape of Therapeutic Nanozymes and Future Research Directions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  9. Article
  10. 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

3 authors.

Majood HaddadStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA.ORCID 0000-0002-6623-9458
Alex FrickensteinStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA.ORCID 0000-0001-6115-9638
Stefan WilhelmStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA.ORCID 0000-0003-2167-6221

Funding

Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian CancerP20GM135009 · NIGMS · UNIVERSITY OF OKLAHOMA · PI Javier Antonio Jo · 2022 to 2026
$13.6M
NIGMS NIH HHS P20 GM135009
6 · The paper itself

Abstract

Understanding nanoparticle-cell interactions at single-nanoparticle and single-cell resolutions is crucial to improving the design of next-generation nanoparticles for safer, more effective, and more efficient applications in nanomedicine. This review focuses on recent advances in the continuous high-throughput analysis of nanoparticle-cell interactions at the single-cell level. We highlight and discuss the current trends in continual flow high-throughput methods for analyzing single cells, such as advanced flow cytometry techniques and inductively coupled plasma mass spectrometry methods, as well as their intersection in the form of mass cytometry. This review further discusses the challenges and opportunities with current single-cell analysis approaches and provides proposed directions for innovation in the high-throughput analysis of nanoparticle-cell interactions.

Indexed as

flow cytometryinductively coupled plasma mass spectrometrymass cytometrynano-bio interactionsSingle-cell analysissingle-nanoparticle analysis

Identifiers

PMID37520860
PMCPMC10373476

What OpenQuestion holds

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Registered trials

None linked

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.