Evidence map›Paper›PMID 31244854›Full record

ArticleFrontiers in immunology2019

Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline.

El-Ad David Amir, Brian Lee, Paul Badoual, Martin Gordon, Xinzheng V Guo, Miriam Merad, Adeeb H Rahman

Abstract read
In one paragraph

Article in Frontiers in immunology, 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
–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

46 citing papers in PubMed.

  1. Optimized cardiac leukocyte isolation for flow cytometry enumeration and sorting.American journal of physiology. Heart and circulatory physiology · 2026
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  7. OMIP-095: 40-Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023
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  18. Full spectrum flow cytometry and mass cytometry: A 32-marker panel comparison.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022
    Article
  19. Article
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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.

El-Ad David AmirAstrolabe Diagnostics, Inc., Fort Lee, NJ, United States.
Brian LeeHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Paul BadoualHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Martin GordonAstrolabe Diagnostics, Inc., Fort Lee, NJ, United States.
Xinzheng V GuoHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Miriam MeradHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Adeeb H RahmanHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

Project 3 - Ex vivo immune profiling of dengue viruses and vaccinesU19AI118610 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZHU, JUN · 2015 to 2021
$46.6M
Viral Assays CoreU19AI128949 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Peter Alan Sims · 2017 to 2026
$26.4M
Helios Mass CytometerS10OD023547 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RAHMAN, ADEEB HABIBUR · 2017 to 2017
$667k
NIAID NIH HHS U19 AI118610NIAID NIH HHS U19 AI128949NIH HHS S10 OD023547
6 · The paper itself

Abstract

Large-scale immune monitoring experiments (such as clinical trials) are a promising direction for biomarker discovery and responder stratification in immunotherapy. Mass cytometry is one of the tools in the immune monitoring arsenal. We propose a standardized workflow for the acquisition and analysis of large-scale mass cytometry experiments. The workflow includes two-tiered barcoding, a broad lyophilized panel, and the incorporation of a fully automated, cloud-based analysis platform. We applied the workflow to a large antibody staining screen using the LEGENDScreen kit, resulting in single-cell data for 350 antibodies over 71 profiling subsets. The screen recapitulates many known trends in the immune system and reveals potential markers for delineating MAIT cells. Additionally, we examine the effect of fixation on staining intensity and identify several markers where fixation leads to either gain or loss of signal. The standardized workflow can be seamlessly integrated into existing trials. Finally, the antibody staining data set is available as an online resource for researchers who are designing mass cytometry experiments in suspension and tissue.

Indexed as

AlgorithmsAntibodiesBiomarkersCloud ComputingComputational BiologyDatabases, FactualFlow CytometryHumansLeukocytes, MononuclearMonitoring, ImmunologicNK Cell Lectin-Like Receptor Subfamily BSingle-Cell AnalysisStaining and LabelingSystems BiologyWorkflowAntibodiesBiomarkersKLRB1 protein, humanNK Cell Lectin-Like Receptor Subfamily Bbioinformaticsexperiment designimmune monitoringmass cytometryscreenstratificationsystems biology

Identifiers

PMID31244854
PMCPMC6579881

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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.