Evidence map›Paper›PMID 30394370›Full record

ArticleJournal of visualized experiments : JoVE2018

Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis.

Rekha Marimuthu, Habib Francis, Suat Dervish, Stephen C H Li, Heather Medbury, Helen Williams

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  14. CD74 is a functional MIF receptor on activated CD4Cellular and molecular life sciences : CMLS · 2024
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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

6 authors.

Rekha MarimuthuDepartment of Surgery, Vascular Biology Research Centre, Westmead Hospital; Westmead Clinical School, Department of Surgery, The University of Sydney.
Habib FrancisDepartment of Surgery, Vascular Biology Research Centre, Westmead Hospital; Westmead Clinical School, Department of Surgery, The University of Sydney.
Suat DervishWestmead Research Hub, Westmead Institute for Medical Research.
Stephen C H LiInstitute for Clinical Pathology and Medical Research, Westmead Hospital.
Heather MedburyDepartment of Surgery, Vascular Biology Research Centre, Westmead Hospital; Westmead Clinical School, Department of Surgery, The University of Sydney; heather.medbury@sydney.edu.au.
Helen WilliamsDepartment of Surgery, Vascular Biology Research Centre, Westmead Hospital; Westmead Clinical School, Department of Surgery, The University of Sydney.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monocytes are key contributors in various inflammatory disorders and alterations to these cells, including their subset proportions and functions, can have pathological significance. An ideal method for examining alterations to monocytes is whole blood flow cytometry as the minimal handling of samples by this method limits artifactual cell activation. However, many different approaches are taken to gate the monocyte subsets leading to inconsistent identification of the subsets between studies. Here we demonstrate a method using whole blood flow cytometry to identify and characterize human monocyte subsets (classical, intermediate, and non-classical). We outline how to prepare the blood samples for flow cytometry, gate the subsets (ensure contaminating cells have been removed), and determine monocyte subset expression of surface markers - in this example M1 and M2 markers. This protocol can be extended to other studies that require a standard gating method for assessing monocyte subset proportions and monocyte subset expression of other functional markers.

Indexed as

BiomarkersFlow CytometryHumansMonocytesBiomarkers

Identifiers

PMID30394370
PMCPMC6235554

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.