摘要
Thymic regulatory T cells (tTreg) are critical in the maintenance of normal T cell immunity and tolerance. The role of TCR in tTreg selection remains incompletely understood. In this study, we assessed TCRa and TCRb sequences of mouse tTreg and thymic conventional CD4+ T cells (Tconv) by high-throughput sequencing. We identified ab TCR sequences that were unique to either tTreg or Tconv and found that these were distinct as recognized by machine learning algorithm and by preferentially used amino acid trimers in ab CDR3 of tTreg. In addition, a proportion of ab TCR sequences expressed by tTreg were also found in Tconv, and machine learning classified the great majority of these shared ab TCR sequences as characteristic of Tconv and not tTreg. These findings identify two populations of tTreg, one in which the regulatory T cell fate is associated with unique properties of the TCR and another with TCR properties characteristic of Tconv for which tTreg fate is determined by factors beyond TCR sequence.
| 源语言 | 英语 |
|---|---|
| 页(从-至) | 858-867 |
| 页数 | 10 |
| 期刊 | Journal of Immunology |
| 卷 | 204 |
| 期 | 4 |
| DOI | |
| 出版状态 | 已出版 - 15 2月 2020 |
| 已对外发布 | 是 |
学术指纹
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