Evidence map›Paper›PMID 33496367›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2021

A streamlined whole blood CyTOF workflow defines a circulating immune cell signature of COVID-19.

Daniel Geanon, Brian Lee, Edgar Gonzalez-Kozlova, Geoffrey Kelly, Diana Handler, Bhaskar Upadhyaya, John Leech, Ronaldo M De Real, Manon Herbinet, Assaf Magen and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Monocytes in pneumonia: Functional plasticity and innate memory (Review).International journal of molecular medicine · 2026
    Review
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  8. Review
  9. Article
  10. Article
  11. Perturbation of the Preterm Human Immune System in Early Life.medRxiv : the preprint server for health sciences · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Barcoding of viable peripheral blood mononuclear cells with selenium and tellurium isotopes for mass cytometry experiments.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Daniel GeanonHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Brian LeeHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Edgar Gonzalez-KozlovaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Geoffrey KellyHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Diana HandlerHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bhaskar UpadhyayaHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
John LeechHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ronaldo M De RealHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Manon HerbinetHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Assaf MagenDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Diane Del ValleDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Alexander CharneyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Seunghee Kim-SchulzeHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Sacha GnjaticHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Miriam MeradHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Adeeb H RahmanHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-8620-3161
Icahn School of Medicine at Mount Sinai · US

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
High-Dimensional Immune Monitoring of NCI-Supported Immunotherapy TrialsU24CA224319 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sacha Gnjatic, Seunghee Kim-Schulze · 2017 to 2026
$21.5M
Novel tools to maximize profiling of tissue and antigen specific immune dysregulation in allergy and inflammatory bowel disesaseU24AI118644 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BERIN, CECILIA, MERAD, MIRIAM · 2015 to 2020
$2.4M
Helios Mass CytometerS10OD023547 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RAHMAN, ADEEB HABIBUR · 2017 to 2017
$667k
NCI NIH HHS U24 CA224319NCI NIH HHS U24CA224319NIAID NIH HHS U19 AI118610NIAID NIH HHS U24 AI118644NIH HHS S10 OD023547
6 · The paper itself

Abstract

Mass cytometry (CyTOF) represents one of the most powerful tools in immune phenotyping, allowing high throughput quantification of over 40 parameters at single-cell resolution. However, wide deployment of CyTOF-based immune phenotyping studies are limited by complex experimental workflows and the need for specialized CyTOF equipment and technical expertise. Furthermore, differences in cell isolation and enrichment protocols, antibody reagent preparation, sample staining, and data acquisition protocols can all introduce technical variation that can confound integrative analyses of large data-sets of samples processed across multiple labs. Here, we present a streamlined whole blood CyTOF workflow which addresses many of these sources of experimental variation and facilitates wider adoption of CyTOF immune monitoring across sites with limited technical expertise or sample-processing resources or equipment. Our workflow utilizes commercially available reagents including the Fluidigm MaxPar Direct Immune Profiling Assay (MDIPA), a dry tube 30-marker immunophenotyping panel, and SmartTube Proteomic Stabilizer, which allows for simple and reliable fixation and cryopreservation of whole blood samples. We validate a workflow that allows for streamlined staining of whole blood samples with minimal processing requirements or expertise at the site of sample collection, followed by shipment to a central CyTOF core facility for batched downstream processing and data acquisition. We apply this workflow to characterize 184 whole blood samples collected longitudinally from a cohort of 72 hospitalized COVID-19 patients and healthy controls, highlighting dynamic disease-associated changes in circulating immune cell frequency and phenotype.

Indexed as

Cell SeparationFlow CytometryImmunophenotypingWorkflowAdultAgedAged, 80 and overBiomarkersCase-Control StudiesCOVID-19FemaleHigh-Throughput Screening AssaysHost-Pathogen InteractionsHumansLeukocytesMaleBiomarkersCOVID-19CyTOFhuman whole blood immunophenotypingmass cytometry

Identifiers

PMID33496367
PMCPMC8013522
OpenAlexW3125401925

What OpenQuestion holds

Textmetadata
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.