Evidence map›Paper›PMID 28069807›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2017

An Integrated Workflow To Assess Technical and Biological Variability of Cell Population Frequencies in Human Peripheral Blood by Flow Cytometry.

Julie G Burel, Yu Qian, Cecilia Lindestam Arlehamn, Daniela Weiskopf, Jose Zapardiel-Gonzalo, Randy Taplitz, Robert H Gilman, Mayuko Saito, Aruna D de Silva, Pandurangan Vijayanand and 3 more

Abstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Guidelines for Gating Flow Cytometry Data for Immunological Assays.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Article
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  4. Article
  5. Article
  6. Ageing, immune fitness and cancer.Nature reviews. Cancer · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Guidelines on antibody use in physiology research.American journal of physiology. Renal physiology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors.

Julie G BurelLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037; jburel@lji.org.ORCID 0000-0003-1692-2758
Yu QianJ. Craig Venter Institute, La Jolla, CA 92037.
Cecilia Lindestam ArlehamnLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Daniela WeiskopfLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Jose Zapardiel-GonzaloLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.ORCID 0000-0002-9098-1652
Randy TaplitzDivision of Infectious Diseases, University of California, San Diego, La Jolla, CA 92093.
Robert H GilmanJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205.
Mayuko SaitoJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205.
Aruna D de SilvaGenetech Research Center, Colombo 00800, Sri Lanka; and.
Pandurangan VijayanandLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Richard H ScheuermannLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.ORCID 0000-0003-1355-892X
Alessandro SetteLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Bjoern PetersLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.ORCID 0000-0002-8457-6693

Funding

Single-cell atlas of lung tissue-resident memory T cells reactive to upper and lower respiratory tract pathogensU19AI118626 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Alessandro Sette · 2015 to 2026
$36.7M
Research Resources: Epigenomic and Transcriptomic Profiles of Human Immune CellsR24AI108564 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI MITCHELL KRONENBERG, Bjoern Peters · 2014 to 2026
$12.1M
FACSAria II Cell SorterS10RR027366 · NCRR · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI CROFT, MICHAEL · 2011 to 2011
$514k
Medical Research Council MR/K007467/1NIAID NIH HHS R24 AI108564NIAID NIH HHS U19 AI118626
6 · The paper itself

Abstract

In the context of large-scale human system immunology studies, controlling for technical and biological variability is crucial to ensure that experimental data support research conclusions. In this study, we report on a universal workflow to evaluate both technical and biological variation in multiparameter flow cytometry, applied to the development of a 10-color panel to identify all major cell populations and T cell subsets in cryopreserved PBMC. Replicate runs from a control donation and comparison of different gating strategies assessed the technical variability associated with each cell population and permitted the calculation of a quality control score. Applying our panel to a large collection of PBMC samples, we found that most cell populations showed low intraindividual variability over time. In contrast, certain subpopulations such as CD56 T cells and Temra CD4 T cells were associated with high interindividual variability. Age but not gender had a significant effect on the frequency of several populations, with a drastic decrease in naive T cells observed in older donors. Ethnicity also influenced a significant proportion of immune cell population frequencies, emphasizing the need to account for these covariates in immune profiling studies. We also exemplify the usefulness of our workflow by identifying a novel cell-subset signature of latent tuberculosis infection. Thus, our study provides a universal workflow to establish and evaluate any flow cytometry panel in systems immunology studies.

Indexed as

ImmunophenotypingWorkflowAdultAge FactorsCD4-Positive T-LymphocytesCD56 AntigenCell CountFemaleFlow CytometryHumansLatent TuberculosisLeukocytes, MononuclearMaleSex FactorsT-Lymphocyte SubsetsCD56 AntigenNCAM1 protein, human

Identifiers

PMID28069807
PMCPMC5296239

What OpenQuestion holds

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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.