T cells recognize specific antigens via T cell receptors (TCRs), an extremely diverse set of cell surface proteins produced by the rearrangement of germline V(D)J gene segments during T cell development.
In the April 2016 issue of Nature Methods, scientists at the European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) and the Wellcome Trust Sanger Institute (WTSI) published a new approach for single-cell TCR sequencing—an approach that can bring new insights about the response to immunotherapies and cancer vaccines, autoimmune disease, allergy, and vaccine design and efficacy.
Using Fluidigm® single-cell whole transcriptome RNA sequencing on the C1™ system and a novel bioinformatics tool, these researchers reconstructed the full-length, paired TCR sequences from mouse T cells. In this webinar, Michael Stubbington presents TraCeR, a novel bioinformatics tool developed to identify the single-cell TCR sequences, along with graphing functions enabling correlation of clonotype and phenotype for each T cell. Tapio Lönnberg demonstrates the power of TraCeR analysis in the context of T cell fate decisions.
|Michael Stubbington, PhD
Senior Staff Scientist
Wellcome Trust Sanger Institute
|Tapio Lönnberg, PhD
Postdoctoral Fellow, EMBL-EBI
Visiting Scientist at Wellcome Trust Sanger Institute