Evidence map›Paper›PMID 29190813›Full record

ArticlePloS one2017

Flow cytometric discrimination of seven lineage markers by using two fluorochromes.

Francesco Boin, Maria Letizia Giardino Torchia, Ivan Borrello, Kimberly A Noonan, Matthew Neil, Mark J Soloski, Raffaello Cimbro

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 5 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

7 authors at 2 institutions in 1 country.

Francesco BoinDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Maria Letizia Giardino TorchiaLaboratory of Immune Cell Biology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Ivan BorrelloDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Kimberly A NoonanDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Matthew NeilDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Mark J SoloskiDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Raffaello CimbroDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID http://orcid.org/0000-0002-6251-5160
Johns Hopkins University · USNational Institutes of Health · US

Funding

CELLULAR &MOLECULAR MECH OF INFLAMMATORY REACTIONST32AI007247 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Joel L Pomerantz · 1985 to 2026
$10.2M
Sample Processing and Immunoassay Research CoreP30AR070254 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI Antony Rosen · 2016 to 2026
$8.9M
Phenotype-Specific Immune Responses in the Systemic VasculitidesP30AR053503 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI ROSEN, ANTONY · 2006 to 2015
$6.4M
NIAID NIH HHS T32 AI007247NIAMS NIH HHS P30 AR053503NIAMS NIH HHS P30 AR070254
6 · The paper itself

Abstract

Flow cytometry is the primary immunological technique used to analyze multiple parameters on complex cell populations. We present a staining method that identifies major human mononuclear lymphoid and myeloid populations (CD4+ and CD8+ T cells, γδ T cells, B cells, NK cells and monocytes), using only two fluorochromes and a minimal number of cells. Our approach increases the number of markers recordable on most flow cytometers allowing for a deeper and more comprehensive immunophenotyping.

Indexed as

BiomarkersCell LineageFlow CytometryFluorescent DyesHumansImmunophenotypingLymphocytesMultiple MyelomaBiomarkersFluorescent Dyes

Identifiers

PMID29190813
PMCPMC5708788
OpenAlexW2771242134

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.