Unknown

Dataset Information

0

Identification of disease-specific motifs in the antibody specificity repertoire via next-generation sequencing.


ABSTRACT: Disease-specific antibodies can serve as highly effective biomarkers but have been identified for only a relatively small number of autoimmune diseases. A method was developed to identify disease-specific binding motifs through integration of bacterial display peptide library screening, next-generation sequencing (NGS) and computational analysis. Antibody specificity repertoires were determined by identifying bound peptide library members for each specimen using cell sorting and performing NGS. A computational algorithm, termed Identifying Motifs Using Next- generation sequencing Experiments (IMUNE), was developed and applied to discover disease- and healthy control-specific motifs. IMUNE performs comprehensive pattern searches, identifies patterns statistically enriched in the disease or control groups and clusters the patterns to generate motifs. Using celiac disease sera as a discovery set, IMUNE identified a consensus motif (QPEQPF[PS]E) with high diagnostic sensitivity and specificity in a validation sera set, in addition to novel motifs. Peptide display and sequencing (Display-Seq) coupled with IMUNE analysis may thus be useful to characterize antibody repertoires and identify disease-specific antibody epitopes and biomarkers.

SUBMITTER: Pantazes RJ 

PROVIDER: S-EPMC4969583 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Identification of disease-specific motifs in the antibody specificity repertoire via next-generation sequencing.

Pantazes Robert J RJ   Reifert Jack J   Bozekowski Joel J   Ibsen Kelly N KN   Murray Joseph A JA   Daugherty Patrick S PS  

Scientific reports 20160802


Disease-specific antibodies can serve as highly effective biomarkers but have been identified for only a relatively small number of autoimmune diseases. A method was developed to identify disease-specific binding motifs through integration of bacterial display peptide library screening, next-generation sequencing (NGS) and computational analysis. Antibody specificity repertoires were determined by identifying bound peptide library members for each specimen using cell sorting and performing NGS.  ...[more]

Similar Datasets

| S-EPMC4011907 | biostudies-other
| S-EPMC6485405 | biostudies-literature
| S-EPMC5413556 | biostudies-literature
| S-EPMC9010798 | biostudies-literature
| S-EPMC4760936 | biostudies-literature
| S-EPMC8869405 | biostudies-literature
2017-04-03 | PXD003804 | Pride
2017-10-04 | PXD006484 | Pride
| S-EPMC5698135 | biostudies-literature
| S-EPMC5650670 | biostudies-literature