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Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information
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 hyp...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262623/ https://www.ncbi.nlm.nih.gov/pubmed/35325179 http://dx.doi.org/10.1093/nar/gkac190 |
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author | Heather, James M Spindler, Matthew J Alonso, Marta Herrero Shui, Yifang Ivana Millar, David G Johnson, David S Cobbold, Mark Hata, Aaron N |
author_facet | Heather, James M Spindler, Matthew J Alonso, Marta Herrero Shui, Yifang Ivana Millar, David G Johnson, David S Cobbold, Mark Hata, Aaron N |
author_sort | Heather, James M |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9262623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92626232022-07-08 Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information Heather, James M Spindler, Matthew J Alonso, Marta Herrero Shui, Yifang Ivana Millar, David G Johnson, David S Cobbold, Mark Hata, Aaron N Nucleic Acids Res Methods Online 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. Oxford University Press 2022-03-24 /pmc/articles/PMC9262623/ /pubmed/35325179 http://dx.doi.org/10.1093/nar/gkac190 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Heather, James M Spindler, Matthew J Alonso, Marta Herrero Shui, Yifang Ivana Millar, David G Johnson, David S Cobbold, Mark Hata, Aaron N Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information |
title | Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information |
title_full | Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information |
title_fullStr | Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information |
title_full_unstemmed | Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information |
title_short | Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information |
title_sort | stitchr: stitching coding tcr nucleotide sequences from v/j/cdr3 information |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262623/ https://www.ncbi.nlm.nih.gov/pubmed/35325179 http://dx.doi.org/10.1093/nar/gkac190 |
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