Evidence map›Paper›PMID 24567949›Full record

ReviewThe Analyst2014

Chip based single cell analysis for nanotoxicity assessment.

Pratikkumar Shah, Ajeet Kaushik, Xuena Zhu, Chengxiao Zhang, Chen-Zhong Li

Abstract readReview
In one paragraph

Review in The Analyst, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  7. Review
  8. Nanotoxicity: a challenge for future medicineTurkish journal of medical sciences · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Digital Microfluidics for Manipulation and Analysis of a Single Cell.International journal of molecular sciences · 2015
    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

5 authors.

Pratikkumar ShahDepartment of Biomedical Engineering, Florida International University, Miami, FL, USA. licz@fiu.edu.
Ajeet Kaushik
Xuena Zhu
Chengxiao Zhang
Chen-Zhong Li

Funding

Biosensing Devices for Cytotoxic and Genotoxic Assessment of NanomaterialsR15ES021079 · NIEHS · FLORIDA INTERNATIONAL UNIVERSITY · PI LI, CHENZHONG · 2012 to 2012
$421k
NIEHS NIH HHS R15 ES021079NIEHS NIH HHS R15ES021079
6 · The paper itself

Abstract

Nanomaterials, because of their tunable properties and performances, have been utilized extensively in everyday life related consumable products and technology. On exposure, beyond the physiological range, nanomaterials cause health risks via affecting the function of organisms, genomic systems, and even the central nervous system. Thus, new analytical approaches for nanotoxicity assessment to verify the feasibility of nanomaterials for future use are in demand. The conventional analytical techniques, such as spectrophotometric assay-based techniques, usually require a lengthy and time-consuming process and often produce false positives, and often cannot be implemented at a single cell level measurement for studying cell behavior without interference from its surrounding environment. Hence, there is a demand for a precise, accurate, sensitive assessment for toxicity using single cells. Recently, due to the advantages of automation of fluids and minimization of human errors, the integration of a cell-on-a-chip (CoC) with a microfluidic system is in practice for nanotoxicity assessments. This review explains nanotoxicity and its assessment approaches with advantages/limitations and new approaches to overcome the confines of traditional techniques. Recent advances in nanotoxicity assessment using a CoC integrated with a microfluidic system are also discussed in this review, which may be of use for nanotoxicity assessment and diagnostics.

Indexed as

Single-Cell AnalysisImmunoassayMicroelectrodesMicroscopy, Atomic ForceNanostructures

Identifiers

PMID24567949
PMCPMC4074534

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.