A Structure-Based Strategy for Epitope Discovery in Burkholderia pseudomallei OppA Antigen

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• 作者：Patricia Lassaux¹ ; ⁷ ; Claudio Peri³ ; ⁷ ; Mario Ferrer-Navarro⁴ ; Louise J. Gourlay¹ ; Alessandro Gori³ ; Oscar Conchillo-Solé ; ⁴ ; Darawan Rinchai⁵ ; Ganjana Lertmemongkolchai⁵ ; Renato Longhi³ ; Xavier Daura⁴ ; ⁶ ; Giorgio Colombo³ ; ^{giorgio.colombo@icrm.cnr.it} ; Martino Bolognesi¹ ; ² ; ^{martino.bolognesi@unimi.it}
• 刊名：Structure
• 出版年：2013
• 出版时间：8 January, 2013
• 年：2013
• 卷：21
• 期：1
• 页码：167-175
• 全文大小：876 K

文摘

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Summary

We present an approach integrating structural and computational biology with immunological tests to?identify epitopes in the OppA antigen from the Gram-negative pathogen m>Burkholderia pseudomalleim>, the etiological agent of melioidosis. The crystal structure of OppA_Bp, reported here at 2.1?? resolution, was the basis for a computational analysis that identified three potential epitopes. In parallel, antigen proteolysis and immunocapturing allowed us to identify three additional peptides. All six potential epitopes were synthesized as free peptides and?tested for their immunoreactivity against sera from healthy seronegative, healthy seropositive, and recovered melioidosis patients. Three synthetic peptides allowed the different patient groups to be?distinguished, underlining the potential of this approach. Extension of the computational analysis, including energy-based decomposition methods, allowed rationalizing results of the predictive analyses and the immunocapture epitope mapping. Our?results illustrate a structure-based epitope discovery process, whose application may expand our perspectives in the diagnostic and vaccine design fields.