|
| Status |
Public on Nov 13, 2025 |
| Title |
SLAMF7 Defines Subsets of Human Effector CD8 T Cells. |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Long-term control of viral replication relies on the efficient differentiation of memory T cells into effector T cells during secondary immune responses. Recent findings have identified T cell precursors for both memory and exhausted T cells, suggesting the existence of progenitor-like effector T cells. These cells can persist without antigenic challenge but expand and acquire effector functions upon recall immune responses. In this study, we demonstrate that the combination of SLAMF7 with either CD27 or TCF-1 effectively identifies progenitor-like effector CD8 T cells, while SLAMF7 with GPR56 and TOX defines effector CD8 T cells. These markers allow for the clear segregation of these distinct cell subsets. SLAMF7+ CD8T cells are dynamically modulated during viral infections, including HIV, HCV, CMV, and SARS-CoV-2, as well as during aging. We further characterize the SLAMF7 signature at both phenotypic and transcriptional levels. Notably, during aging, the SLAMF7 pathway becomes dysregulated, resulting in persistent phosphorylation of STAT1. Additionally, SLAMF7 ligation in the presence of IL-15 induces TCF-1 expression, which promotes the homeostatic proliferation of progenitor-like effector CD8 T cells.
|
| |
|
| Overall design |
To investigate transcriptional signature of virus-specific T cells during aging. Human CMV- and EBV-specific CD8 T cells restricted by different HLA were isolated by flow cytometry.
|
| |
|
| Contributor(s) |
Kared H, Tan C, Narang V, Larbi A |
| Citation missing |
Has this study been published? Please login to update or notify GEO. |
| |
| Submission date |
Nov 18, 2024 |
| Last update date |
Nov 13, 2025 |
| Contact name |
Nicholas Ang |
| E-mail(s) |
angdzn@a-star.edu.sg
|
| Organization name |
Singapore Immunology Network (SIgN)
|
| Street address |
8a Biomedical Grove, Singapore 138648
|
| City |
Singapore |
| ZIP/Postal code |
Singapore 138648 |
| Country |
Singapore |
| |
|
| Platforms (1) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
|
| Samples (52)
|
|
| Relations |
| BioProject |
PRJNA1187529 |