Evidence map›Paper›PMID 23094027›Full record

ArticlePloS one2012

Comparative analysis of dynamic cell viability, migration and invasion assessments by novel real-time technology and classic endpoint assays.

Ridha Limame, An Wouters, Bea Pauwels, Erik Fransen, Marc Peeters, Filip Lardon, Olivier De Wever, Patrick Pauwels

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

140 citing papers in PubMed, 308 citations in OpenAlex.

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80 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 at 4 institutions in 1 country.

Ridha LimameCenter for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium. ridha.limame@ua.ac.be
An Wouters
Bea Pauwels
Erik Fransen
Marc Peeters
Filip Lardon
Olivier De Wever
Patrick Pauwels
University of Antwerp · BEAntwerp University Hospital · BEGhent University Hospital · BEStatistics Belgium · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCell viability and motility comprise ubiquitous mechanisms involved in a variety of (patho)biological processes including cancer. We report a technical comparative analysis of the novel impedance-based xCELLigence Real-Time Cell Analysis detection platform, with conventional label-based endpoint methods, hereby indicating performance characteristics and correlating dynamic observations of cell proliferation, cytotoxicity, migration and invasion on cancer cells in highly standardized experimental conditions. METHODOLOGY/PRINCIPAL

findingsDynamic high-resolution assessments of proliferation, cytotoxicity and migration were performed using xCELLigence technology on the MDA-MB-231 (breast cancer) and A549 (lung cancer) cell lines. Proliferation kinetics were compared with the Sulforhodamine B (SRB) assay in a series of four cell concentrations, yielding fair to good correlations (Spearman's Rho 0.688 to 0.964). Cytotoxic action by paclitaxel (0-100 nM) correlated well with SRB (Rho>0.95) with similar IC(50) values. Reference cell migration experiments were performed using Transwell plates and correlated by pixel area calculation of crystal violet-stained membranes (Rho 0.90) and optical density (OD) measurement of extracted dye (Rho>0.95). Invasion was observed on MDA-MB-231 cells alone using Matrigel-coated Transwells as standard reference method and correlated by OD reading for two Matrigel densities (Rho>0.95). Variance component analysis revealed increased variances associated with impedance-based detection of migration and invasion, potentially caused by the sensitive nature of this method. CONCLUSIONS/SIGNIFICANCE: The xCELLigence RTCA technology provides an accurate platform for non-invasive detection of cell viability and motility. The strong correlations with conventional methods imply a similar observation of cell behavior and interchangeability with other systems, illustrated by the highly correlating kinetic invasion profiles on different platforms applying only adapted matrix surface densities. The increased sensitivity however implies standardized experimental conditions to minimize technical-induced variance.

Indexed as

Biological AssayEndpoint DeterminationAntineoplastic AgentsCell Line, TumorCell MovementCell ProliferationCell SurvivalCollagenDiffusion Chambers, CultureDrug CombinationsElectric ImpedanceFemaleGentian VioletHumansLamininPaclitaxelAntineoplastic AgentsCollagenDrug CombinationsGentian VioletLamininlissamine rhodamine BmatrigelPaclitaxelProteoglycansRhodamines

Identifiers

PMID23094027
PMCPMC3477108
OpenAlexW2049112891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.