Developments of methods for T-cell receptor sequence data analysis and understanding of diversities in the immune cells

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K00399
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Life / Health / Medical informatics
• Research Institution: The University of Tokyo
• Principal Investigator: Yamaguchi Rui 東京大学, 医科学研究所, 准教授 (90380675)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 免疫細胞シークエンスデータ解析 / 免疫細胞受容体レパトア解析 / T細胞受容体 / B細胞受容体

Outline of Final Research Achievements

We have developed methodologies and tools for analyzing Next Generation Sequencing data sets from T-cell or B-cell receptors that characterize diversities of those immune cells. The tools are accurate and efficient for analyzing vast amount of data sets. By applying the tools to data sets from various diseases, e.g., cancers, Crohn’s disease, and GVHD after hematopoietic stem cell transplantations, we succeeded to extract novel information representing relationships between those diseases and immune environments. We also could find new exon candidates in those receptor sequences. Furthermore, we proceeded with developments of dynamic models to estimate and predict variations of structure of immune-cell groups from time-course data sets.

Free Research Field

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