Evidence map›Paper›PMID 31137820›Full record

ArticleBiosensors2019

Multiplex Label Free Characterization of Cancer Cell Lines Using Surface Plasmon Resonance Imaging.

Ivan Stojanović, Carolina F Ruivo, Thomas J G van der Velden, Richard B M Schasfoort, Leon W M M Terstappen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
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  6. 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 at 1 institution in 1 country.

Ivan StojanovićMedical Cell BioPhysics Group, MIRA institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands. ivanstojanovic172@msn.com.
Carolina F RuivoMedical Cell BioPhysics Group, MIRA institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands. cruivo@ipatimup.pt.
Thomas J G van der VeldenIBIS Technologies B.V., Pantheon 5, 7521PR Enschede, The Netherlands. Thomas@ibis-spr.nl.
Richard B M SchasfoortMedical Cell BioPhysics Group, MIRA institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands. r.b.m.schasfoort@utwente.nl.ORCID 0000-0003-1601-3853
Leon W M M TerstappenMedical Cell BioPhysics Group, MIRA institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands. l.w.m.m.terstappen@utwente.nl.ORCID 0000-0001-5944-3787
University of Twente · NL

Funding

Stichting voor de Technische Wetenschappen 11260
6 · The paper itself

Abstract

Rapid multiplex cell surface marker analysis can expedite investigations in which large number of antigens need to be analyzed. Simultaneous analysis of multiple surface antigens at the same level of sensitivity is however limited in the current golden standard analysis method, flow cytometry. In this paper we introduce a surface plasmon resonance imaging (SPRi)-based technique for 44-plex parameter analysis using a single sample, in less than 20 min. We analyzed the expression on cells from five different cancer cell lines by SPRi on a 44-plex antibody array including 4 negative controls and compared the output with flow cytometry. The combined correlation of the markers that showed expression by flow cytometry was 0.76. The results demonstrate as a proof of principle that SPRi can be applied for rapid semi-quantitative multiplex cell surface marker analysis.

Indexed as

Antigens, NeoplasmFlow CytometryHumansMCF-7 CellsSurface Plasmon ResonanceAntigens, Neoplasmcancer cell linesflow cytometrylabel freemultiplexSurface Plasmon Resonance imagingSurface Plasmon Resonance imaging cytometry

Identifiers

PMID31137820
PMCPMC6628007
OpenAlexW2945151585

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.