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条件相关公共抗原受体序列的鉴定方法。

Method for identification of condition-associated public antigen receptor sequences.

机构信息

Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.

Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia.

出版信息

Elife. 2018 Mar 13;7:e33050. doi: 10.7554/eLife.33050.

Abstract

Diverse repertoires of hypervariable immunoglobulin receptors (TCR and BCR) recognize antigens in the adaptive immune system. The development of immunoglobulin receptor repertoire sequencing methods makes it possible to perform repertoire-wide disease association studies of antigen receptor sequences. We developed a statistical framework for associating receptors to disease from only a small cohort of patients, with no need for a control cohort. Our method successfully identifies previously validated Cytomegalovirus and type one diabetes responsive TCR[Formula: see text] sequences .

摘要

多样化的高变免疫球蛋白受体(TCR 和 BCR)库识别适应性免疫系统中的抗原。免疫球蛋白受体库测序方法的发展使得对抗原受体序列进行全受体范围的疾病关联研究成为可能。我们开发了一种统计框架,用于仅从一小部分患者中关联受体与疾病,而无需对照队列。我们的方法成功地识别了先前验证的巨细胞病毒和 1 型糖尿病反应性 TCR[Formula: see text]序列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5bd/5873893/c6c0e36750ff/elife-33050-fig1.jpg

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