08/20/2025
Ever wondered whether you are sampling all of the important antibodies in your campaign? Our recent blog post seeks to answer the question of just how much we might be missing.
We compared two innovative approaches for polyclonal antibody sequencing in camelids:
🔵 Alicanto: Uses a proteogenomic workflow, combining B cell NGS data to create targeted databases for serum antibody identification.
🔴 Griffin: Employs a de novo proteomic approach, relying solely on serum without needing cellular data.
Our findings?
👉 Clonal Overlap is Limited: Out of 44 Griffin clones and 146 Alicanto clones, only 2 (4.5%) were shared, highlighting that each method explores largely distinct regions of the antibody repertoire.
👉 Sensitivity: Alicanto uncovers more total candidates due to database-driven sensitivity but only captures what’s present in the B cell database.
👉 Sequence Diversity: Most clones found by Griffin show less than 43% similarity to their nearest B cell repertoire counterparts, revealing previously unexplored antibody diversity.
Takeaway: Combining proteogenomics and de novo proteomics gives a more complete picture of the serum antibody landscape in camelids, empowering new discoveries in antibody engineering and therapeutic development.
Curious to see the full data and methodological insights? Read more in the blog post on our website.