Sold by: Sage Bionetworks
Open data
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Deployed on AWS
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 resou[...]
Overview
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.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- 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
- Amazon Resource Name (ARN)
- arn:aws:s3:::single.cell.human.blood.atlas.opendata.sagebase.org
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://single.cell.human.blood.atlas.opendata.sagebase.org/
Resources
Vendor resources
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Contact
Managed By
Sage Bionetworks
How to cite
Single-Cell Atlas of Human Blood During Healthy Aging was accessed on DATE from https://registry.opendata.aws/singlecellhumanbloodatlas .
License
[CC BY]
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