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

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