Latest posts 5
Check out our recent publication in collaboration with the Khadra Lab at @mcgillu - where computational modelling 🖥️ and experimental immunology 🔬join forces to study the role of T cell diversity and antigen binding strength on chronic infection clearance! Find out more 👇
>90% of #TCR sequence diversity is generated by TdT-mediated nucleotide addition, but what is the benefit of TdT-altered TCRs? @MandlLab show that low-affinity #Tcells generated by TdT are important for curtailing chronic pathogen replication #PLOSBiology plos.io/3HJKOClView quoted post on X
Our PhD student Angela @ImmuneVet co-host of the TWiV podcast with @profvrr recently interviewed @bjesseshapiro and Corinne Maurice with their students Sana Naderi and Anshul Sinha about their cool virus research going on at @mcgillu! @McGillMed 📺bit.ly/3Hb9Aet
And this work featured on the current issue cover! Amazing collaboration with @JohannesTextor @MelicharLab, and the Westermann team
Wondering what we can learn from the T cell receptor beta sequence about the self-reactivity of a T cell? check out our paper in Cell Systems where we used machine learning to ask this very question👇: cell.com/cell-systems/f…
www.cell.com Machine learning analysis of the T cell receptor repertoire identifies sequence features of... The T cell receptor (TCR) is pivotal in determining T cell fate, yet analyzing the enormous diversity of TCRs is challenging. Textor et al. built a machine learning algorithm that scores self-react...