Interested in #antigen discovery? The Xavier lab is developing prediction tools like these! Check out the papers linked below: BOTA: https://t.co/bWe2wMmLe4 hBOTA: https://t.co/y7arHLV1EF CAPTAn: https://t.co/M8F11CrTi6

How do you improve on prediction of CD4 T cell antigens? Here we performed immunopeptidome profiling and deployed clever machine learning to devise a tool that does just that. Congrats to @mstrazar07, Jihye, @jenn17grace and co!

Online @ImmunityCP! @mstrazar07 & colleagues identify HLA-II binding peptides w/monoallelic #immunopeptiomics & develop a #machinelearning tool (CAPTAn) that predicts peptide antigens based on HLA-II affinity and source protein sequence. https://t.co/cV0dzS82dj

1/ 🤰What can we learn about pregnancy form 45 million lab tests? We present a dynamic atlas of pregnancy and postpartum based on measurements from over half a million pregnancies at a one-week resolution. @biorxivpreprint @AlonBar10

Important paper out today by @DanielRojas150 and @TheXavierLab colleagues fdescribing the opportunistic colonization of oral V. parvula to the inflamed intestine.

How do the body's natural defenses tell helpful and harmful bacteria apart? Researchers used a computational algorithm to find antigens that were recognized — but tolerated — by the immune system, offering a peek into how T cells analyze gut bacteria. https://t.co/YFMjEhr90Z

Among billions of potential microbiome epitopes hide few immunodominant 'keystone' epitopes recognized by T cells. Out today in @ImmunityCP, we discover keystone epitopes and show T cell responses to reflect intestinal immune health.