Literature DB >> 35325179

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

James M Heather1,2, Matthew J Spindler3, Marta Herrero Alonso1, Yifang Ivana Shui1, David G Millar1,2, David S Johnson3, Mark Cobbold1,2, Aaron N Hata1,2.   

Abstract

The study and manipulation of T cell receptors (TCRs) is central to multiple fields across basic and translational immunology research. Produced by V(D)J recombination, TCRs are often only recorded in the literature and data repositories as a combination of their V and J gene symbols, plus their hypervariable CDR3 amino acid sequence. However, numerous applications require full-length coding nucleotide sequences. Here we present Stitchr, a software tool developed to specifically address this limitation. Given minimal V/J/CDR3 information, Stitchr produces complete coding sequences representing a fully spliced TCR cDNA. Due to its modular design, Stitchr can be used for TCR engineering using either published germline or novel/modified variable and constant region sequences. Sequences produced by Stitchr were validated by synthesizing and transducing TCR sequences into Jurkat cells, recapitulating the expected antigen specificity of the parental TCR. Using a companion script, Thimble, we demonstrate that Stitchr can process a million TCRs in under ten minutes using a standard desktop personal computer. By systematizing the production and modification of TCR sequences, we propose that Stitchr will increase the speed, repeatability, and reproducibility of TCR research. Stitchr is available on GitHub.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2022        PMID: 35325179      PMCID: PMC9262623          DOI: 10.1093/nar/gkac190

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  76 in total

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3.  Gene transfer of tumor-reactive TCR confers both high avidity and tumor reactivity to nonreactive peripheral blood mononuclear cells and tumor-infiltrating lymphocytes.

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4.  Domain-swapped T cell receptors improve the safety of TCR gene therapy.

Authors:  Michael T Bethune; Marvin H Gee; Mario Bunse; Mark S Lee; Eric H Gschweng; Meghana S Pagadala; Jing Zhou; Donghui Cheng; James R Heath; Donald B Kohn; Michael S Kuhns; Wolfgang Uckert; David Baltimore
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5.  OGRDB: a reference database of inferred immune receptor genes.

Authors:  William Lees; Christian E Busse; Martin Corcoran; Mats Ohlin; Cathrine Scheepers; Frederick A Matsen; Gur Yaari; Corey T Watson; Andrew Collins; Adrian J Shepherd
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6.  TCR3d: The T cell receptor structural repertoire database.

Authors:  Ragul Gowthaman; Brian G Pierce
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Review 7.  Targeting cancers through TCR-peptide/MHC interactions.

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Journal:  J Hematol Oncol       Date:  2019-12-18       Impact factor: 17.388

8.  Quantitative Characterization of the T Cell Receptor Repertoire of Naïve and Memory Subsets Using an Integrated Experimental and Computational Pipeline Which Is Robust, Economical, and Versatile.

Authors:  Theres Oakes; James M Heather; Katharine Best; Rachel Byng-Maddick; Connor Husovsky; Mazlina Ismail; Kroopa Joshi; Gavin Maxwell; Mahdad Noursadeghi; Natalie Riddell; Tabea Ruehl; Carolin T Turner; Imran Uddin; Benny Chain
Journal:  Front Immunol       Date:  2017-10-12       Impact factor: 7.561

9.  immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking.

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