Your browser doesn't support javascript.
loading
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.
Afiliação
  • Heather JM; Massachusetts General Hospital Cancer Center, Charlestown, MA, USA.
  • Spindler MJ; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Alonso MH; GigaMune, Inc., South San Francisco, CA, USA.
  • Shui YI; Massachusetts General Hospital Cancer Center, Charlestown, MA, USA.
  • Millar DG; Massachusetts General Hospital Cancer Center, Charlestown, MA, USA.
  • Johnson DS; Massachusetts General Hospital Cancer Center, Charlestown, MA, USA.
  • Cobbold M; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Hata AN; GigaMune, Inc., South San Francisco, CA, USA.
Nucleic Acids Res ; 50(12): e68, 2022 07 08.
Article em En | MEDLINE | ID: mdl-35325179
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Receptores de Antígenos de Linfócitos T Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Receptores de Antígenos de Linfócitos T Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article