Evidence map›Paper›PMID 25893878›Full record

ArticleBiosensors2015

Application of xCELLigence RTCA Biosensor Technology for Revealing the Profile and Window of Drug Responsiveness in Real Time.

Dan Kho, Christa MacDonald, Rebecca Johnson, Charles P Unsworth, Simon J O'Carroll, Elyce du Mez, Catherine E Angel, E Scott Graham

Abstract read
In one paragraph

Article in Biosensors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

  1. Review
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  8. Food science & nutrition · 2025
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  14. Review
  15. Charting the Cannabis plant chemical space with computational metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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.

Dan KhoDepartment of Pharmacology, University of Auckland, Auckland 1023, New Zealand. s.ocarroll@auckland.ac.nz.
Christa MacDonaldDepartment of Pharmacology, University of Auckland, Auckland 1023, New Zealand. s.ocarroll@auckland.ac.nz.
Rebecca JohnsonDepartment of Pharmacology, University of Auckland, Auckland 1023, New Zealand. s.ocarroll@auckland.ac.nz.
Charles P UnsworthDepartment of Engineering Science, University of Auckland, Auckland 1010, New Zealand. c.unsworth@auckland.ac.nz.
Simon J O'CarrollCentre for Brain Research, University of Auckland, Auckland 1023, New Zealand. s.ocarroll@auckland.ac.nz.
Elyce du MezSchool of Biological Sciences, University of Auckland, Auckland 1010, New Zealand. elycedumez@hotmail.com.
Catherine E AngelSchool of Biological Sciences, University of Auckland, Auckland 1010, New Zealand. c.angel@auckland.ac.nz.
E Scott GrahamDepartment of Pharmacology, University of Auckland, Auckland 1023, New Zealand. s.graham@auckland.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The xCELLigence technology is a real-time cellular biosensor, which measures the net adhesion of cells to high-density gold electrode arrays printed on custom-designed E-plates. The strength of cellular adhesion is influenced by a myriad of factors that include cell type, cell viability, growth, migration, spreading and proliferation. We therefore hypothesised that xCELLigence biosensor technology would provide a valuable platform for the measurement of drug responses in a multitude of different experimental, clinical or pharmacological contexts. In this manuscript, we demonstrate how xCELLigence technology has been invaluable in the identification of (1) not only if cells respond to a particular drug, but (2) the window of drug responsiveness. The latter aspect is often left to educated guess work in classical end-point assays, whereas biosensor technology reveals the temporal profile of the response in real time, which enables both acute responses and longer term responses to be profiled within the same assay. In our experience, the xCELLigence biosensor technology is suitable for highly targeted drug assessment and also low to medium throughput drug screening, which produces high content temporal data in real time.

Indexed as

Biosensing TechniquesCell Culture TechniquesCell LineCell SurvivalCytokinesDrug Evaluation, PreclinicalHumansCytokines

Identifiers

PMID25893878
PMCPMC4493546

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.