生物
T细胞受体
血清状态
人类白细胞抗原
免疫学
队列
人巨细胞病毒
剧目
巨细胞病毒
计算生物学
遗传学
病毒学
抗原
免疫系统
T细胞
疱疹病毒科
病毒
病毒性疾病
病毒载量
内科学
物理
医学
声学
作者
Ryan Emerson,William S. DeWitt,Marissa Vignali,Jenna Gravley,Joyce Hu,Edward J. Osborne,Cindy Desmarais,Mark Klinger,Christopher S. Carlson,John A. Hansen,Mark J. Rieder,Harlan Robins
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2017-04-03
卷期号:49 (5): 659-665
被引量:465
摘要
An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV in vitro, and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy.
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