Evidence map›Paper›PMID 36842524›Full record

ArticleJournal of immunological methods2023

An optimized flow cytometry protocol for simultaneous detection of T cell activation induced markers and intracellular cytokines: Application to SARS-CoV-2 immune individuals.

Tiziana Altosole, Gianluca Rotta, Chiara R M Uras, Scott J Bornheimer, Daniela Fenoglio

Open access · hybridAbstract read
In one paragraph

Article in Journal of immunological methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Advanced Identification of Trypanosoma cruzi-Specific CD4Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Article
  9. Article
  10. Detection of Gliadin-Activated CD4Journal of cellular and molecular medicine · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

5 authors at 3 institutions in 2 countries.

Tiziana AltosoleIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Gianluca RottaBD Biosciences, Europe.
Chiara R M UrasDepartment of Experimental Medicine, Centre of Excellence for Biomedical Research, University of Genoa, Italy.
Scott J BornheimerBD Biosciences, USA.
Daniela FenoglioDepartment of Internal Medicine, University of Genoa, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy. Electronic address: daniela.fenoglio@unige.it.
BD Biosciences (United States) · USUniversity of Genoa · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antigen (ag)-specific T cell analysis is an important step for investigation of cellular immunity in many settings, such as infectious diseases, cancer and vaccines. Multiparameter flow cytometry has advantages in studying both the rarity and heterogeneity of these cells. In the cellular immunologist's toolbox, the expression of activation-induced markers (AIM) following antigen exposure has made possible the study and sorting of ag-specific T cells without using human leukocyte antigen (HLA)-multimers. In parallel, assessing the cytokine profile of responding T cells would support a more comprehensive description of the ongoing immune response by providing information related to cell function, such as polarization and effector activity. Here, a method and flow cytometry panel were optimized to combine the detection of activated CD4+ and CD8+ T cells in a TCR-dependent manner with the evaluation of cytokine production by intracellular staining, without affecting the positivity of activation markers. In particular, the expression of CD134 (OX40) and CD69 have been tested in conjunction with intracellular (ic) CD137 (4-1BB) to detect SARS-CoV-2 Spike protein-specific activated T cells. In our setting, CD134 provided minimal contribution to detect the pool of AIM+ T cells, whereas a key role was described for ic-CD69 which was co-expressed with ic-CD137 in both CD4+ and CD8+ lymphocytes. Moreover, the analysis of TCR-triggered cytokine-producing T cells (IFNγ, TNFα and IL-2 were assessed) further confirmed the capacity of ic-CD69 to identify functionally responsive antigen-specific T cells which were often largely negative or weakly positive for CD134 expression. In parallel, the use of CD45RA, CCR7 and CXCR5 allowed us to describe the T cell matuarion curve and detect T follicular helper (Tfh) CD4+ cells, including the antigen specific activated subsets. In conclusion, we optimized a method and flow cytometry panel combining assessment of activation induced markers and intracellular cytokines that will be useful for measuring TCR stimulation-dependent activation of CD4+ and CD8+ T cells.

Indexed as

COVID-19CytokinesAntigensCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFlow CytometryHumansLymphocyte ActivationReceptors, Antigen, T-CellSARS-CoV-2Spike Glycoprotein, CoronavirusAntigensCytokinesReceptors, Antigen, T-CellSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Flow cytometrySARS-Cov-2 vaccineT cell mediated immunity

Identifiers

PMID36842524
PMCPMC9957341
OpenAlexW4321764353

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.