- Titel
- A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-1037290
- Quellenangabe
- Genome Biology
Erscheinungsjahr: 2023
Jahrgang: 24
Heft: 1
Seiten: 1-26
ISSN: 1474-760X
Artikelnummer: 287 - Erstveröffentlichung
- 2023
- Abstract (EN)
- Background: The 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. Results: Here, 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. Conclusion: This 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.
- Andere Ausgabe
- Erstveröffentlichung
DOI: 10.1186/s13059-023-03120-7 - Freie Schlagwörter (EN)
- T-cell activation, Non-negative matrix factorization, Transcriptome, Gene expression, Temporal gene profiles, Biomarkers, Time series
- Klassifikation (DDC)
- 570
- Verlag
- BioMed Central, London
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-1037290
- Veröffentlichungsdatum Qucosa
- 10.04.2026
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0