Evidence map›Paper›PMID 27575385›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2016

Standardization and quality control for high-dimensional mass cytometry studies of human samples.

Katja Kleinsteuber, Björn Corleis, Narges Rashidi, Nzuekoh Nchinda, Antonella Lisanti, Josalyn L Cho, Benjamin D Medoff, Douglas Kwon, Bruce D Walker

Open access · greenAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
  2. Rhenium-Based β-Galactosidase Probe Allows Senescence Profiling by Mass Cytometry.Angewandte Chemie (International ed. in English) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. 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
  9. Article
  10. Review
  11. Article
  12. OMIP-087: Thirty-two parameter mass cytometry panel to assess human CD4 and CD8 T cell activation, memory subsets, and helper subsets.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. CyTOFFrontiers in immunology · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Katja KleinsteuberRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Björn CorleisRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Narges RashidiRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Nzuekoh NchindaRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Antonella LisantiRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Josalyn L ChoDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Benjamin D MedoffDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Douglas KwonRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA.
Bruce D WalkerRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA. bwalker@mgh.harvard.edu.
Ragon Institute of MGH, MIT and Harvard · USHoward Hughes Medical Institute · USHarvard University · US

Funding

Support Component D/Vaccine Discovery, Concept to ClinicUM1AI100663 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BAROUCH, DAN H. · 2012 to 2018
$131.5M
The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
HIV and COPD:Immune mediated mechanismsU01HL121827 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KWON, DOUGLAS, MEDOFF, BENJAMIN DAVID · 2013 to 2017
$3.2M
NHLBI NIH HHS U01 HL121827NIAID NIH HHS P30 AI060354NIAID NIH HHS UM1 AI100663
6 · The paper itself

Abstract

Mass cytometry (CyTOF), a mass spectrometry-based single cell phenotyping technology, allows utilization of over 35 antibodies in a single sample and is a promising tool for translational human immunology studies. Although several analysis tools are available to interpret the complex data sets generated, a robust method for standardization and quality control within and across studies is needed. Here we report an efficient and easily adaptable method to monitor quality of individual samples in human immunology studies and to facilitate reproducible data analysis. Samples to be assessed are spiked with a defined amount of reference peripheral blood mononuclear cells from a healthy donor, derived from a single large blood draw. The presence of known standardized numbers and phenotypic profiles of these reference cells greatly facilitates sample analysis by allowing for: 1) quality control for consistent staining of each antibody in the panel, 2) identification of potential batch effects, and 3) implementation of a robust gating strategy. We demonstrate the utility of this method using peripheral blood and bronchoalveolar lavage samples from HIV

Indexed as

AntibodiesBronchoalveolar LavageCD8-Positive T-LymphocytesCytokinesFlow CytometryHIV InfectionsHumansImmunophenotypingLeukocytes, MononuclearMass SpectrometryQuality ControlReference StandardsReproducibility of ResultsAntibodiesCytokinesclinical studiesCyTOFHIVhuman immunologyMass cytometry

Identifiers

PMID27575385
PMCPMC5495108
OpenAlexW2508715471

What OpenQuestion holds

Textmetadata
LicenceTDM
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.