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

Author:

Heather James M12ORCID,Spindler Matthew J3,Alonso Marta Herrero1ORCID,Shui Yifang Ivana1,Millar David G12ORCID,Johnson David S3,Cobbold Mark12,Hata Aaron N12ORCID

Affiliation:

1. Massachusetts General Hospital Cancer Center , Charlestown , MA , USA

2. Department of Medicine, Harvard Medical School , Boston , MA , USA

3. GigaMune, Inc. , South San Francisco , CA , USA

Abstract

AbstractThe 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.

Funder

NIH/NCI

NIH/NIAID

Emily Venanzi Fund for Innovation in Lung Cancer Research

Publisher

Oxford University Press (OUP)

Subject

Genetics

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