Evidence map›Paper›PMID 37704208›Full record

ArticleGenomics & informatics2023

Single-cell RNA sequencing identifies distinct transcriptomic signatures between PMA/ionomycin- and αCD3/αCD28-activated primary human T cells.

Jung Ho Lee, Brian H Lee, Soyoung Jeong, Christine Suh-Yun Joh, Hyo Jeong Nam, Hyun Seung Choi, Henry Sserwadda, Ji Won Oh, Chung-Gyu Park, Seon-Pil Jin and 1 more

Abstract read
In one paragraph

Article in Genomics & informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Proteogenomics Reveals Microproteins in Activated T Cells.Molecular & cellular proteomics : MCP · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

11 authors.

Jung Ho LeeDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Brian H LeeDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Soyoung JeongDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Christine Suh-Yun JohDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Hyo Jeong NamDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Hyun Seung ChoiDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Henry SserwaddaDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Ji Won OhDepartment of Anatomy, Yonsei University College of Medicine, Seoul 03722, Korea.
Chung-Gyu ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.
Seon-Pil JinDepartment of Dermatology, Seoul National University Hospital, Seoul 03080, Korea.
Hyun Je KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea.

Funding

National Research Foundation of Korea 2020R1F1A1073692 and 2022R1F1A1075235National Research Foundation of Korea 2022M3A9D30168 48
6 · The paper itself

Abstract

Immunologists have activated T cells in vitro using various stimulation methods, including phorbol myristate acetate (PMA)/ionomycin and αCD3/αCD28 agonistic antibodies. PMA stimulates protein kinase C, activating nuclear factor-κB, and ionomycin increases intracellular calcium levels, resulting in activation of nuclear factor of activated T cell. In contrast, αCD3/αCD28 agonistic antibodies activate T cells through ZAP-70, which phosphorylates linker for activation of T cell and SH2-domain-containing leukocyte protein of 76 kD. However, despite the use of these two different in vitro T cell activation methods for decades, the differential effects of chemical-based and antibody-based activation of primary human T cells have not yet been comprehensively described. Using single-cell RNA sequencing (scRNA-seq) technologies to analyze gene expression unbiasedly at the single-cell level, we compared the transcriptomic profiles of the non-physiological and physiological activation methods on human peripheral blood mononuclear cell-derived T cells from four independent donors. Remarkable transcriptomic differences in the expression of cytokines and their respective receptors were identified. We also identified activated CD4 T cell subsets (CD55+) enriched specifically by PMA/ionomycin activation. We believe this activated human T cell transcriptome atlas derived from two different activation methods will enhance our understanding, highlight the optimal use of these two in vitro T cell activation assays, and be applied as a reference standard when analyzing activated specific disease-originated T cells through scRNA-seq.

Indexed as

scRNA-seqT cellT cell activationtranscriptome

Identifiers

PMID37704208
PMCPMC10326540

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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.