Evidence map›Paper›PMID 31892734›Full record

ReviewNature reviews. Rheumatology2020

Immune monitoring using mass cytometry and related high-dimensional imaging approaches.

Felix J Hartmann, Sean C Bendall

Abstract readReview
In one paragraph

Review in Nature reviews. Rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

  1. Bone reports · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025
    Review
  18. Review
  19. Article
  20. Lipid Metabolism and Immune Function: Chemical Tools for Insights into T-Cell Biology.Chembiochem : a European journal of chemical biology · 2025
    Review

58 more citing papers are in PubMed but not listed here.

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

2 authors.

Felix J HartmannDepartment of Pathology, School of Medicine, Stanford University, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-4174-2276
Sean C BendallDepartment of Pathology, School of Medicine, Stanford University, Palo Alto, CA, USA. bendall@stanford.edu.ORCID http://orcid.org/0000-0003-1341-2453

Funding

Stanford Cancer Immune Monitoring and Analysis Center (CIMAC)U24CA224309 · NCI · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Holden T. Maecker · 2017 to 2026
$19.9M
Tracking allergen specific T cells in multi-food allergyU19AI104209 · NIAID · STANFORD UNIVERSITY · PI GALLI, STEPHEN JOSEPH · 2013 to 2025
$17.3M
Stanford/UNC Biomimetic U19 Research CenterU19AI116484 · NIAID · STANFORD UNIVERSITY · PI AMIEVA, MANUEL R, KUO, CALVIN J · 2015 to 2025
$13.5M
MIRIAD - Multiplexed Imaging of Resilience In Alzheimers DiseaseR01AG057915 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$4.5M
The Phenotypic Landscape of Cognitive Decline as Revealed by Next-Generation Multiplexed Ion Beam ImagingR01AG056287 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$2.6M
Origins of human blood lineages in regenerative medicineDP2EB024246 · NIBIB · STANFORD UNIVERSITY · PI BENDALL, SEAN CURTIS · 2016 to 2016
$2.4M
A robust platform for multiplexed, subcellular proteomic imaging in human tissueUH3CA246633 · NCI · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2019 to 2021
$1.8M
A single-cell platform to discover and study regulators of human developmentR00GM104148 · NIGMS · STANFORD UNIVERSITY · PI BENDALL, SEAN CURTIS · 2014 to 2016
$747k
Damon Runyon Cancer Research Foundation DRG-2017-09NCI NIH HHS U24 CA224309NCI NIH HHS UH3 CA246633NIAID NIH HHS U19 AI104209NIAID NIH HHS U19 AI116484NIA NIH HHS R01 AG056287NIA NIH HHS R01 AG057915NIBIB NIH HHS DP2 EB024246NIGMS NIH HHS R00 GM104148
6 · The paper itself

Abstract

The cellular complexity and functional diversity of the human immune system necessitate the use of high-dimensional single-cell tools to uncover its role in multifaceted diseases such as rheumatic diseases, as well as other autoimmune and inflammatory disorders. Proteomic technologies that use elemental (heavy metal) reporter ions, such as mass cytometry (also known as CyTOF) and analogous high-dimensional imaging approaches (including multiplexed ion beam imaging (MIBI) and imaging mass cytometry (IMC)), have been developed from their low-dimensional counterparts, flow cytometry and immunohistochemistry, to meet this need. A growing number of studies have been published that use these technologies to identify functional biomarkers and therapeutic targets in rheumatic diseases, but the full potential of their application to rheumatic disease research has yet to be fulfilled. This Review introduces the underlying technologies for high-dimensional immune monitoring and discusses aspects necessary for their successful implementation, including study design principles, analytical tools and future developments for the field of rheumatology.

Indexed as

BiomarkersDiagnostic ImagingFlow CytometryHumansMonitoring, ImmunologicProteomicsRheumatic DiseasesRheumatologyBiomarkers

Identifiers

PMID31892734
PMCPMC7232872

What OpenQuestion holds

Textmetadata
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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.