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Single-Cell Atlas of Human Blood During Healthy Aging

protein single-cell transcriptomics


Comprehensive, large-scale single-cell profiling of healthy human blood at different ages is one of the critical pending tasks required to establish a framework for systematic understanding of human aging. Here, using single-cell RNA/TCR/BCR-seq with protein feature barcoding (20 antibodies), we profiled 317 samples from 166 healthy individuals aged 25 to 85 years old drawn over 3-year period. Dataset spanning ~2 million cells describes 50 subpopulations of blood immune cells, with 14 subpopulations changing with age, including a novel NKG2C+ CD8 Tcm population that decreases with age. We describe age-associated accumulation of Th2 and HLA-DR+ memory CD4 T cells, CCR4+ CD8 Tcm cells and GZMK+ CD8 Tem cells. We validate key findings using 30-plex spectral cytometry panel. We characterize patterns of antigen receptor clonality across subpopulations of T and B cells and describe their age-dependence. Our work provides novel insights into healthy human aging and unique annotated resource of unprecedented depth.

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Managed By

Sage Bionetworks

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How to Cite

Single-Cell Atlas of Human Blood During Healthy Aging was accessed on DATE from Terekhova M, Swain A, Bohacova P, et al. Single-cell atlas of healthy human blood unveils age-related loss of NKG2C+GZMB-CD8+ memory T cells and accumulation of type 2 memory T cells. Immunity. 2023;56(12):2836-2854.e9. doi:10.1016/j.immuni.2023.10.013

Usage Examples


Resources on AWS

  • Description
    Raw sequencing data (fastq.gz), TCR/BCR clonotype tables (.csv), normalized counts matrix (.rds, .h5ad), UMAP coordinates (.csv), metadata (.csv), cytometry data (.fcs)
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    AWS Region

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