VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium

Author:

Bagaev Dmitry V12,Vroomans Renske M A34,Samir Jerome56,Stervbo Ulrik78,Rius Cristina9,Dolton Garry9,Greenshields-Watson Alexander9,Attaf Meriem9,Egorov Evgeny S2,Zvyagin Ivan V12,Babel Nina78,Cole David K910,Godkin Andrew J9,Sewell Andrew K9,Kesmir Can11,Chudakov Dmitriy M1212,Luciani Fabio56,Shugay Mikhail1212

Affiliation:

1. Pirogov Russian Medical State University, Moscow, Russia

2. Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia

3. Origins Center, Groningen, The Netherlands

4. Institute for Advanced Study, University of Amsterdam, Amsterdam, The Netherlands

5. Kirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia

6. School of Medical Sciences, UNSW Sydney, Sydney, Australia

7. Center for Translational Medicine, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany

8. Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin-Brandenburg Center for Regenerative Therapies, Berlin, Germany

9. Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK

10. Immunocore Ltd., Abingdon, OX14 4RY, UK

11. Theoretical Biology and Bioinformatics Department, Science Faculty, Utrecht University, Utrecht, Netherlands

12. Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia

Abstract

Abstract Here, we report an update of the VDJdb database with a substantial increase in the number of T-cell receptor (TCR) sequences and their cognate antigens. The update further provides a new database infrastructure featuring two additional analysis modes that facilitate database querying and real-world data analysis. The increased yield of TCR specificity identification methods and the overall increase in the number of studies in the field has allowed us to expand the database more than 5-fold. Furthermore, several new analysis methods are included. For example, batch annotation of TCR repertoire sequencing samples allows for annotating large datasets on-line. Using recently developed bioinformatic methods for TCR motif mining, we have built a reduced set of high-quality TCR motifs that can be used for both training TCR specificity predictors and matching against TCRs of interest. These additions enhance the versatility of the VDJdb in the task of exploring T-cell antigen specificities. The database is available at https://vdjdb.cdr3.net.

Funder

Russian Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

Cited by 299 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3