Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Trends Immunol. 2022 Mar;43(3):180-194. doi: 10.1016/j.it.2022.01.002. Epub 2022 Jan 25.
The T cell receptor (TCR) endows T cells with antigen specificity and is central to nearly all aspects of T cell function. Each naïve T cell has a unique TCR sequence that is stably maintained during cell division. In this way, the TCR serves as a molecular barcode that tracks processes such as migration, differentiation, and proliferation of T cells. Recent technological advances have enabled sequencing of the TCR from single cells alongside deep molecular phenotypes on an unprecedented scale. In this review, we discuss strengths and limitations of TCR sequences as molecular barcodes and their application to study immune responses following Programmed Death-1 (PD-1) blockade in cancer. Additionally, we consider applications of TCR data beyond use as a barcode.
T 细胞受体 (TCR) 赋予 T 细胞抗原特异性,是 T 细胞几乎所有功能方面的核心。每个初始 T 细胞都有一个独特的 TCR 序列,在细胞分裂过程中稳定维持。这样,TCR 就像一个分子条码,跟踪 T 细胞的迁移、分化和增殖等过程。最近的技术进步使得能够在前所未有的规模上对单个细胞的 TCR 进行测序,同时对其进行深度分子表型分析。在这篇综述中,我们讨论了 TCR 序列作为分子条码的优缺点及其在研究癌症中程序性死亡受体-1 (PD-1) 阻断后免疫反应中的应用。此外,我们还考虑了 TCR 数据的应用,不仅限于作为条码。