Evidence map›Paper›PMID 38098113›Full record

SynthesisGenome biology2023

A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation.

Michael Rade, Sebastian Böhlen, Vanessa Neuhaus, Dennis Löffler, Conny Blumert, Maximilian Merz, Ulrike Köhl, Susann Dehmel, Katherina Sewald, Kristin Reiche

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Oxidized LDL Induces Pro-Inflammatory Transcriptomic and Epigenomic Responses in Human CD4FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Proteogenomics Reveals Microproteins in Activated T Cells.Molecular & cellular proteomics : MCP · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. AMBRA1 controls the translation of immune-specific genes in T lymphocytes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

10 authors at 4 institutions in 1 country.

Michael RadeDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Perlickstraße 1, 04103, Leipzig, Germany. michael.rade@izi.fraunhofer.de.ORCID 0000-0001-6247-9289
Sebastian BöhlenDepartment of Preclinical Pharmacology and In-Vitro Toxicology, Fraunhofer Institute for Toxicology and Experimental Medicine, ITEM, Nikolai-Fuchs-Strasse 1, 30625, Hannover, Germany.
Vanessa NeuhausDepartment of Preclinical Pharmacology and In-Vitro Toxicology, Fraunhofer Institute for Toxicology and Experimental Medicine, ITEM, Nikolai-Fuchs-Strasse 1, 30625, Hannover, Germany.
Dennis LöfflerDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Perlickstraße 1, 04103, Leipzig, Germany.
Conny BlumertDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Perlickstraße 1, 04103, Leipzig, Germany.
Maximilian MerzDepartment of Hematology, Cellular Therapy, Hemostaseology and Infectiology, University Hospital of Leipzig, Leipzig, Germany.
Ulrike KöhlDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Perlickstraße 1, 04103, Leipzig, Germany.
Susann DehmelDepartment of Preclinical Pharmacology and In-Vitro Toxicology, Fraunhofer Institute for Toxicology and Experimental Medicine, ITEM, Nikolai-Fuchs-Strasse 1, 30625, Hannover, Germany.
Katherina Sewald *Department of Preclinical Pharmacology and In-Vitro Toxicology, Fraunhofer Institute for Toxicology and Experimental Medicine, ITEM, Nikolai-Fuchs-Strasse 1, 30625, Hannover, Germany.
Kristin Reiche *Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Perlickstraße 1, 04103, Leipzig, Germany.ORCID 0000-0002-4452-4872
Fraunhofer Institute for Cell Therapy and Immunology · DEFraunhofer Institute for Toxicology and Experimental Medicine · DEGerman Research Centre for Artificial Intelligence · DEUniversity Hospital Leipzig · DE

Funding

Fraunhofer-Institut für Zelltherapie und Immunologie MAVO 836 958
6 · The paper itself

Abstract

backgroundThe coordinated transcriptional regulation of activated T-cells is based on a complex dynamic behavior of signaling networks. Given an external stimulus, T-cell gene expression is characterized by impulse and sustained patterns over the course. Here, we analyze the temporal pattern of activation across different T-cell populations to develop consensus gene signatures for T-cell activation.

resultsHere, we identify and verify general biomarker signatures robustly evaluating T-cell activation in a time-resolved manner. We identify time-resolved gene expression profiles comprising 521 genes of up to 10 disjunct time points during activation and different polarization conditions. The gene signatures include central transcriptional regulators of T-cell activation, representing successive waves as well as sustained patterns of induction. They cover sustained repressed, intermediate, and late response expression rates across multiple T-cell populations, thus defining consensus biomarker signatures for T-cell activation. In addition, intermediate and late response activation signatures in CAR T-cell infusion products are correlated to immune effector cell-associated neurotoxicity syndrome.

conclusionThis study is the first to describe temporally resolved gene expression patterns across T-cell populations. These biomarker signatures are a valuable source, e.g., monitoring transcriptional changes during T-cell activation with a reasonable number of genes, annotating T-cell states in single-cell transcriptome studies, or assessing dysregulated functions of human T-cell immunity.

Indexed as

Consensus SequenceGene Expression ProfilingTranscriptomeBiomarkersGene Expression RegulationHumansBiomarkersBiomarkersGene expressionNon-negative matrix factorizationT-cell activationTemporal gene profilesTime seriesTranscriptome

Identifiers

PMID38098113
PMCPMC10722659
OpenAlexW4389733291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.