Evidence map›Paper›PMID 29605184›Full record

ArticleCell systems2018

Compensation of Signal Spillover in Suspension and Imaging Mass Cytometry.

Stéphane Chevrier, Helena L Crowell, Vito R T Zanotelli, Stefanie Engler, Mark D Robinson, Bernd Bodenmiller

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 246 papers.

0numbers the graph read from it
0cells of the map it votes in
246citing 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

246 citing papers in PubMed.

  1. Trial
  2. A conserved eIF1ACell reports. Medicine · 2026
    Trial
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  6. Guidelines for Gating Flow Cytometry Data for Immunological Assays.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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  15. Review
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186 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

6 authors.

Stéphane ChevrierInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Helena L CrowellInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland.
Vito R T ZanotelliInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland; Systems Biology Ph.D. Program, Life Science Zürich Graduate School, ETH Zürich and University of Zürich, Zürich, Switzerland.
Stefanie EnglerInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Mark D RobinsonInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland. Electronic address: mark.robinson@imls.uzh.ch.
Bernd BodenmillerInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland. Electronic address: bernd.bodenmiller@imls.uzh.ch.

Funding

Single-Cell Analyses of Human Islets in T1D Using Highly Multiplexed ImagingUC4DK108132 · NIDDK · UNIVERSITY OF FLORIDA · PI ATKINSON, MARK A., BODENMILLER, BERND · 2015 to 2015
$3.6M
NIDDK NIH HHS UC4 DK108132
6 · The paper itself

Abstract

The advent of mass cytometry increased the number of parameters measured at the single-cell level while decreasing the extent of crosstalk between channels relative to dye-based flow cytometry. Although reduced, spillover still exists in mass cytometry data, and minimizing its effect requires considerable expert knowledge and substantial experimental effort. Here, we describe a novel bead-based compensation workflow and R-based software that estimates and corrects for interference between channels. We performed an in-depth characterization of the spillover properties in mass cytometry, including limitations defined by the linear range of the mass cytometer and the reproducibility of the spillover over time and across machines. We demonstrated the utility of our method in suspension and imaging mass cytometry. To conclude, our approach greatly simplifies the development of new antibody panels, increases flexibility for antibody-metal pairing, opens the way to using less pure isotopes, and improves overall data quality, thereby reducing the risk of reporting cell phenotype artifacts.

Indexed as

AntibodiesBreast NeoplasmsFemaleFlow CytometryHumansImage CytometryImmunophenotypingReproducibility of ResultsSignal-To-Noise RatioSingle-Cell AnalysisSoftwareSuspensionsAntibodiesSuspensionschannel interferencecompensationCyTOFimaging mass cytometrymass cytometrysignal crosstalkspillover

Identifiers

PMID29605184
PMCPMC5981006

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.