Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease

Basic information
Cell
24,290
Sample
8

Technology
10X Genomics
Omics
scRNA-seq
Source
PBMCs,Bone Marrow

Dataset ID
31624246
Platform
Illumina HiSeq 4000
Species
Human
Disease
Healthy,Healthy/deceased
Age range
52 - 65
Update date
2019-10-17
Summary

Human T cells coordinate adaptive immunity in diverse anatomic compartments through production of cytokines and effector molecules, but it is unclear how tissue site influences T cell persistence and function. Here, we use single cell RNA-sequencing (scRNA-seq) to define the heterogeneity of human T cells isolated from lungs, lymph nodes, bone marrow and blood, and their functional responses following stimulation. Through analysis of >50,000 resting and activated T cells, we reveal tissue T cell signatures in mucosal and lymphoid sites, and lineage-specific activation states across all sites including distinct effector states for CD8+ T cells and an interferon-response state for CD4+ T cells. Comparing scRNA-seq profiles of tumor-associated T cells to our dataset reveals predominant activated CD8+ compared to CD4+ T cell states within multiple tumor types. Our results therefore establish a high dimensional reference map of human T cell activation in health for analyzing T cells in disease.

Overall design

Single-cell RNA-sequencing of control and and anti-CD3/anti-CD28 stimulated T cells from bone marrow and blood.

Contributors

To be supplemented.

Contact

To be supplemented.

snRNA-Seq
Sample nameSample titleDiseaseGenderAgeSourceTreatmentTechnologyPlatformOmicsSample IDDataset IDAction
No data available