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- Title
Determination of B-Cell Epitopes in Patients with Celiac Disease: Peptide Microarrays.
- Authors
Choung, Rok Seon; Marietta, Eric V.; Van Dyke, Carol T.; Brantner, Tricia L.; Rajasekaran, John; Pasricha, Pankaj J.; Wang, Tianhao; Bei, Kang; Krishna, Karthik; Krishnamurthy, Hari K.; Snyder, Melissa R.; Jayaraman, Vasanth; Murray, Joseph A.
- Abstract
Background: Most antibodies recognize conformational or discontinuous epitopes that have a specific 3-dimensional shape; however, determination of discontinuous B-cell epitopes is a major challenge in bioscience. Moreover, the current methods for identifying peptide epitopes often involve laborious, high-cost peptide screening programs. Here, we present a novel microarray method for identifying discontinuous B-cell epitopes in celiac disease (CD) by using a silicon-based peptide array and computational methods. Methods: Using a novel silicon-based microarray platform with a multi-pillar chip, overlapping 12-mer peptide sequences of all native and deamidated gliadins, which are known to trigger CD, were synthesized in situ and used to identify peptide epitopes. Results: Using a computational algorithm that considered disease specificity of peptide sequences, 2 distinct epitope sets were identified. Further, by combining the most discriminative 3-mer gliadin sequences with randomly interpolated3- or 6-mer peptide sequences, novel discontinuous epitopes were identified and further optimized to maximize disease discrimination. The final discontinuous epitope sets were tested in a confirmatory cohort of CD patients and controls, yielding 99% sensitivity and 100% specificity. Conclusions: These novel sets of epitopes derived from gliadin have a high degree of accuracy in differentiating CD from controls, compared with standard serologic tests. The method of ultra-high-density peptide microarray described here would be broadly useful to develop high-fidelity diagnostic tests and explore pathogenesis.
- Subjects
B cells; EPITOPES; CELIAC disease; PEPTIDE analysis; DNA microarrays
- Publication
PLoS ONE, 2016, Vol 11, Issue 1, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0147777