Evidence map›Paper›PMID 30549398›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2019

A Flow Cytometry-Based Assay for High-Throughput Detection and Quantification of Neutrophil Extracellular Traps in Mixed Cell Populations.

Olga Zharkova, Sen Hee Tay, Hui Yin Lee, Tripathi Shubhita, Wei Yee Ong, Aisha Lateef, Paul Anthony MacAry, Lina Hsiu Kim Lim, John Edward Connolly, Anna-Marie Fairhurst

Open access · hybridAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

46 citing papers in PubMed, 64 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Olga ZharkovaDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Sen Hee TayDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Hui Yin LeeSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Tripathi ShubhitaDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Wei Yee OngInstitute for Molecular and Cellular Biology, Agency for Science, Technology and Research (A*STAR), Singapore.
Aisha LateefDepartment of Medicine, National University Health System, Singapore.
Paul Anthony MacAryDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Lina Hsiu Kim LimDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
John Edward ConnollyInstitute for Molecular and Cellular Biology, Agency for Science, Technology and Research (A*STAR), Singapore.
Anna-Marie FairhurstDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Agency for Science, Technology and Research · SGNational University of Singapore · SGNational University Hospital · SGInstitute of Molecular and Cell Biology · RUSingapore Immunology Network · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs) are web-like structures composed of decondensed chromatin and antimicrobial proteins that are released into the extracellular space during microbial infections. This active cell death program is known as NETosis. To date, florescence microscopy is the widely accepted method for visualization and quantification of NETs. However, this method is subjective, time consuming and yields low numbers of analyzed polymorphonuclear cells (PMNs) per sample. Increasing interest has emerged on the identification of NETs using flow cytometry techniques. However, flow cytometry analysis of NETs requires particular precautions for sample preparation to obtain reproducible data. Herein, we describe a flow cytometry-based assay for high-throughput detection and quantification of NETosis in mixed cell populations. We used fluorescent-labeled antibodies against cell markers on PMNs together with a combination of nucleic acid stains to measure NETosis in whole blood (WB) and purified PMNs. Using plasma membrane-impermeable DNA-binding dye, SYTOX Orange (SO), we found that cell-appendant DNA of NETting PMNs were positive for SO and DAPI. The combination of optimally diluted antibody and nucleic acid dyes required no washing and yielded low background fluorescence. Significant correlations were found for NETosis from WB and purified PMNs. We then validated the assay by comparing with time-lapse live cell fluorescence microscopy and determined very good intraassay and interassay variances. The assay was then applied to a disease associated with NETosis, systemic lupus erythematosus (SLE). We examined PMA-induced NETosis in peripheral PMNs from SLE patients and controls and in bone marrow PMNs from multiple murine models. In summary, this assay is observer-independent and allows for rapid assessment of a large number of PMNs per sample. Use of this assay does not require sophisticated microscopic equipment like imaging flow cytometers and may be a starting point to analyze extracellular trap formation from immune cells other than PMNs. © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.

Indexed as

AnimalsBone Marrow CellsDisease Models, AnimalDNAExtracellular TrapsFemaleFlow CytometryFluorescent Antibody TechniqueHigh-Throughput Screening AssaysHumansLupus Erythematosus, SystemicMiceMice, Inbred C57BLMicroscopy, FluorescenceNeutrophilsRegulated Cell DeathDNAextracellular trapsflow cytometryneutophils

Identifiers

PMID30549398
PMCPMC6590256
OpenAlexW2905115595

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.