Heterogeneity and transcriptome changes of human CD8+ T cells across nine decades of life

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 profile...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-32869-x
Description
Summary: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.
ISSN:2041-1723