| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-32869-x |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink