Evidence map›Paper›PMID 31016894›Full record

ArticleImmunity, inflammation and disease2019

Flow Plex-A tool for unbiased comprehensive flow cytometry data analysis.

Johannes Nowatzky, Ezra Resnick, Julia Manasson, Cristy Stagnar, Arshed Fahad Al-Obeidi, Olivier Manches

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Johannes NowatzkyDepartment of Medicine, Division of Rheumatology, NYU School of Medicine, New York, New York.ORCID 0000-0002-0540-6830
Ezra ResnickGoogle, Inc, New York, New York.
Julia ManassonDepartment of Medicine, Division of Rheumatology, NYU School of Medicine, New York, New York.
Cristy StagnarDepartment of Medicine, Division of Rheumatology, NYU School of Medicine, New York, New York.
Arshed Fahad Al-ObeidiDepartment of Medicine, Division of Rheumatology, NYU School of Medicine, New York, New York.
Olivier ManchesRecherche et Développement, Immunobiology and Immunotherapy in Chronic Diseases, Institute for Advanced Biosciences, Inserm U 1209, CNRS UMR 5309, Université Grenoble Alpes, Etablissement Français du Sang Auvergne-Rhône-Alpes, Grenoble, France.

Funding

Harnessing monoclonal Treg for the treatment of autoimmune uveitisK08EY025324 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NOWATZKY, JOHANNES · 2015 to 2019
$907k
NEI NIH HHS K08EY025324
6 · The paper itself

Abstract

introductionThe information content of multiparametric flow cytometry experiments is routinely underexploited given the paucity of adequate tools for unbiased comprehensive data analysis that can be applied successfully and independently by immunologists without computational training.

methodsWe aimed to develop a tool that allows straightforward access to the entire information content of any given flow cytometry panel for immunologists without special computational expertise. We used a data analysis approach which accounts for all mathematically possible combinations of markers in a given panel, coded the algorithm and applied the method to mined and self-generated data sets.

resultsWe developed Flow Plex, a straightforward computational tool that allows unrestricted access to the information content of a given flow cytometry panel, enables classification of human samples according to distinct immune phenotypes, such as different forms of autoimmune uveitis, acute myeloid leukemia vs "healthy", "old" vs "young", and facilitates the identification of cell populations with potential biologic relevance to states of disease and health.

conclusionsWe provide a tool that allows immunologists and other flow cytometry users with limited bioinformatics skills to extract comprehensive, unbiased information from flow cytometry data sets.

Indexed as

Data AnalysisAcute DiseaseAdolescentAdultAgedAged, 80 and overAlgorithmsCells, CulturedChildCluster AnalysisComputational BiologyFemaleFlow CytometryHumansImmunophenotypingLeukemia, Myeloidcomputationdata analysisflow cytometry

Identifiers

PMID31016894
PMCPMC6688088

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.