Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn.
bioRxiv
; 2023 Jul 31.
Article
in En
| MEDLINE
| ID: mdl-37577562
ABSTRACT
We investigated a relatively underexplored component of the gut-immune axis by profiling the antibody response to gut phages using Phage Immunoprecipitation Sequencing (PhIP-Seq). To enhance this approach, we developed Dolphyn, a novel method that uses machine learning to select peptides from protein sets and compresses the proteome through epitope-stitching. Dolphyn improves the fraction of gut phage library peptides bound by antibodies from 10% to 31% in healthy individuals, while also reducing the number of synthesized peptides by 78%. In our study on gut phages, we discovered that the immune system develops antibodies to bacteria-infecting viruses in the human gut, 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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
BioRxiv
Year:
2023
Document type:
Article
Affiliation country:
United States