Literature DB >> 32990749

TCRdb: a comprehensive database for T-cell receptor sequences with powerful search function.

Si-Yi Chen1, Tao Yue1, Qian Lei1, An-Yuan Guo1.   

Abstract

T cells and the T-cell receptor (TCR) repertoire play pivotal roles in immune response and immunotherapy. TCR sequencing (TCR-Seq) technology has enabled accurate profiling TCR repertoire and currently a large number of TCR-Seq data are available in public. Based on the urgent need to effectively re-use these data, we developed TCRdb, a comprehensive human TCR sequences database, by a uniform pipeline to characterize TCR sequences on TCR-Seq data. TCRdb contains more than 277 million highly reliable TCR sequences from over 8265 TCR-Seq samples across hundreds of tissues/clinical conditions/cell types. The unique features of TCRdb include: (i) comprehensive and reliable sequences for TCR repertoire in different samples generated by a strict and uniform pipeline of TCRdb; (ii) powerful search function, allowing users to identify their interested TCR sequences in different conditions; (iii) categorized sample metadata, enabling comparison of TCRs in different sample types; (iv) interactive data visualization charts, describing the TCR repertoire in TCR diversity, length distribution and V-J gene utilization. The TCRdb database is freely available at http://bioinfo.life.hust.edu.cn/TCRdb/ and will be a useful resource in the research and application community of T cell immunology.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 32990749      PMCID: PMC7778924          DOI: 10.1093/nar/gkaa796

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  38 in total

1.  IMSEQ--a fast and error aware approach to immunogenetic sequence analysis.

Authors:  Leon Kuchenbecker; Mikalai Nienen; Jochen Hecht; Avidan U Neumann; Nina Babel; Knut Reinert; Peter N Robinson
Journal:  Bioinformatics       Date:  2015-05-18       Impact factor: 6.937

2.  MiXCR: software for comprehensive adaptive immunity profiling.

Authors:  Dmitriy A Bolotin; Stanislav Poslavsky; Igor Mitrophanov; Mikhail Shugay; Ilgar Z Mamedov; Ekaterina V Putintseva; Dmitriy M Chudakov
Journal:  Nat Methods       Date:  2015-05       Impact factor: 28.547

3.  A neoantigen fitness model predicts tumour response to checkpoint blockade immunotherapy.

Authors:  Marta Łuksza; Nadeem Riaz; Vladimir Makarov; Vinod P Balachandran; Matthew D Hellmann; Alexander Solovyov; Naiyer A Rizvi; Taha Merghoub; Arnold J Levine; Timothy A Chan; Jedd D Wolchok; Benjamin D Greenbaum
Journal:  Nature       Date:  2017-11-08       Impact factor: 49.962

Review 4.  iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories.

Authors:  Brian D Corrie; Nishanth Marthandan; Bojan Zimonja; Jerome Jaglale; Yang Zhou; Emily Barr; Nicole Knoetze; Frances M W Breden; Scott Christley; Jamie K Scott; Lindsay G Cowell; Felix Breden
Journal:  Immunol Rev       Date:  2018-07       Impact factor: 12.988

5.  Deep Sequencing of T-cell Receptor DNA as a Biomarker of Clonally Expanded TILs in Breast Cancer after Immunotherapy.

Authors:  David B Page; Jianda Yuan; David Redmond; Y Hanna Wen; Jeremy C Durack; Ryan Emerson; Stephen Solomon; Zhiwan Dong; Phillip Wong; Christopher Comstock; Adi Diab; Janice Sung; Majid Maybody; Elizabeth Morris; Edi Brogi; Monica Morrow; Virgilio Sacchini; Olivier Elemento; Harlan Robins; Sujata Patil; James P Allison; Jedd D Wolchok; Clifford Hudis; Larry Norton; Heather L McArthur
Journal:  Cancer Immunol Res       Date:  2016-09-01       Impact factor: 11.151

6.  McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences.

Authors:  Nili Tickotsky; Tal Sagiv; Jaime Prilusky; Eric Shifrut; Nir Friedman
Journal:  Bioinformatics       Date:  2017-09-15       Impact factor: 6.937

7.  TCR3d: The T cell receptor structural repertoire database.

Authors:  Ragul Gowthaman; Brian G Pierce
Journal:  Bioinformatics       Date:  2019-12-15       Impact factor: 6.937

8.  Deep sequencing and flow cytometric characterization of expanded effector memory CD8+CD57+ T cells frequently reveals T-cell receptor Vβ oligoclonality and CDR3 homology in acquired aplastic anemia.

Authors:  Valentina Giudice; Xingmin Feng; Zenghua Lin; Wei Hu; Fanmao Zhang; Wangmin Qiao; Maria Del Pilar Fernandez Ibanez; Olga Rios; Neal S Young
Journal:  Haematologica       Date:  2018-02-01       Impact factor: 9.941

9.  VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements.

Authors:  Scott Christley; Walter Scarborough; Eddie Salinas; William H Rounds; Inimary T Toby; John M Fonner; Mikhail K Levin; Min Kim; Stephen A Mock; Christopher Jordan; Jared Ostmeyer; Adam Buntzman; Florian Rubelt; Marco L Davila; Nancy L Monson; Richard H Scheuermann; Lindsay G Cowell
Journal:  Front Immunol       Date:  2018-05-08       Impact factor: 7.561

10.  The Immune Epitope Database (IEDB): 2018 update.

Authors:  Randi Vita; Swapnil Mahajan; James A Overton; Sandeep Kumar Dhanda; Sheridan Martini; Jason R Cantrell; Daniel K Wheeler; Alessandro Sette; Bjoern Peters
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

View more
  8 in total

1.  Data Sharing and Reuse: A Method by the AIRR Community.

Authors:  Brian D Corrie; Scott Christley; Christian E Busse; Lindsay G Cowell; Kira C M Neller; Florian Rubelt; Nicholas Schwab
Journal:  Methods Mol Biol       Date:  2022

2.  Comprehensive Characterizations of Immune Receptor Repertoire in Tumors and Cancer Immunotherapy Studies.

Authors:  Li Song; Zhangyi Ouyang; David Cohen; Yang Cao; Jennifer Altreuter; Gali Bai; Xihao Hu; Kenneth J Livak; Heng Li; Ming Tang; Bo Li; X Shirley Liu
Journal:  Cancer Immunol Res       Date:  2022-07-01       Impact factor: 12.020

Review 3.  Harnessing big data to characterize immune-related adverse events.

Authors:  Ying Jing; Jingwen Yang; Douglas B Johnson; Javid J Moslehi; Leng Han
Journal:  Nat Rev Clin Oncol       Date:  2022-01-17       Impact factor: 65.011

4.  Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information.

Authors:  James M Heather; Matthew J Spindler; Marta Herrero Alonso; Yifang Ivana Shui; David G Millar; David S Johnson; Mark Cobbold; Aaron N Hata
Journal:  Nucleic Acids Res       Date:  2022-07-08       Impact factor: 19.160

Review 5.  Machine Learning Approaches to TCR Repertoire Analysis.

Authors:  Yotaro Katayama; Ryo Yokota; Taishin Akiyama; Tetsuya J Kobayashi
Journal:  Front Immunol       Date:  2022-07-15       Impact factor: 8.786

6.  Comparative Study of Repertoire Classification Methods Reveals Data Efficiency of k -mer Feature Extraction.

Authors:  Yotaro Katayama; Tetsuya J Kobayashi
Journal:  Front Immunol       Date:  2022-07-20       Impact factor: 8.786

7.  Spike-specific T cells are enriched in breastmilk following SARS-CoV-2 mRNA vaccination.

Authors:  Blair Armistead; Yonghou Jiang; Marc Carlson; Emily S Ford; Saumya Jani; John Houck; Xia Wu; Lichen Jing; Tiffany Pecor; Alisa Kachikis; Winnie Yeung; Tina Nguyen; Nana Minkah; Sasha E Larsen; Rhea N Coler; David M Koelle; Whitney E Harrington
Journal:  medRxiv       Date:  2022-09-28

8.  Phenotype, specificity and avidity of antitumour CD8+ T cells in melanoma.

Authors:  Giacomo Oliveira; Kari Stromhaug; Susan Klaeger; Tomasz Kula; Dennie T Frederick; Phuong M Le; Juliet Forman; Teddy Huang; Shuqiang Li; Wandi Zhang; Qikai Xu; Nicoletta Cieri; Karl R Clauser; Sachet A Shukla; Donna Neuberg; Sune Justesen; Gavin MacBeath; Steven A Carr; Edward F Fritsch; Nir Hacohen; Moshe Sade-Feldman; Kenneth J Livak; Genevieve M Boland; Patrick A Ott; Derin B Keskin; Catherine J Wu
Journal:  Nature       Date:  2021-07-21       Impact factor: 69.504

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.