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Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn.
- Source :
-
Nature communications [Nat Commun] 2024 Feb 21; Vol. 15 (1), pp. 1577. Date of Electronic Publication: 2024 Feb 21. - Publication Year :
- 2024
-
Abstract
- We investigate a relatively underexplored component of the gut-immune axis by profiling the antibody response to gut phages using Phage Immunoprecipitation Sequencing (PhIP-Seq). To cover large antigenic spaces, we develop Dolphyn, a method that uses machine learning to select peptides from protein sets and compresses the proteome through epitope-stitching. Dolphyn compresses the size of a peptide library by 78% compared to traditional tiling, increasing the antibody-reactive peptides from 10% to 31%. We find that the immune system develops antibodies to human gut bacteria-infecting viruses, particularly E.coli-infecting Myoviridae. Cost-effective PhIP-Seq libraries designed with Dolphyn enable the assessment of a wider range of proteins in a single experiment, thus facilitating the study of the gut-immune axis.<br /> (© 2024. The Author(s).)
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 15
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 38383452
- Full Text :
- https://doi.org/10.1038/s41467-024-45601-8