Nature Communications (Sep 2022)
Heterogeneity and transcriptome changes of human CD8+ T cells across nine decades of life
- Jian Lu,
- Raheel Ahmad,
- Thomas Nguyen,
- Jeffrey Cifello,
- Humza Hemani,
- Jiangyuan Li,
- Jinguo Chen,
- Siyi Li,
- Jing Wang,
- Achouak Achour,
- Joseph Chen,
- Meagan Colie,
- Ana Lustig,
- Christopher Dunn,
- Linda Zukley,
- Chee W. Chia,
- Irina Burd,
- Jun Zhu,
- Luigi Ferrucci,
- Nan-ping Weng
Affiliations
- Jian Lu
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Raheel Ahmad
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Thomas Nguyen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Jeffrey Cifello
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Humza Hemani
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Jiangyuan Li
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Jinguo Chen
- Center for Human Immunology, Autoimmunity and Inflammation, National Institutes of Health
- Siyi Li
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Jing Wang
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Achouak Achour
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Joseph Chen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Meagan Colie
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Ana Lustig
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Christopher Dunn
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- Linda Zukley
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health
- Chee W. Chia
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health
- Irina Burd
- Integrated Research Center for Fetal Medicine, Department of Obstetrics and Gynecology, Johns Hopkins University School of Medicine
- Jun Zhu
- National Heart, Lung, and Blood Institute, National Institutes of Health
- Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health
- Nan-ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health
- DOI
- https://doi.org/10.1038/s41467-022-32869-x
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 13
Abstract
The characterisation of T cells during aging is important to predict functional outcomes in vaccination or infection. Here the authors use flow cytometry and scRNA sequencing to transcriptionally age CD8 T cells and then use a machine learning model to interpret cell age from transcriptional profiles.
