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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
Published on: March 24, 2017
Prediction and identification of B‑cell epitopes for tumor necrosis factor‑α
Jun Zhang1, Ying Cui2, Yinfang Wu3
1Department of Gastroenterology, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang 310014, P.R. China.
Abstract:
The aim of the present study was to predict and identify B‑cell epitopes for mouse tumor necrosis factor‑α (mTNF‑α). DNAStar and BcePred software were used to predict B‑cell epitopes for mTNF‑α. A predicted eight‑branch multiple antigenic polypeptide (MAP) was synthesized and used to immunize BALB/c mice, combined with a promiscuous helper interleukin‑1β epitope (VQGEESNDK, amino acids 163‑171). The serum titer was measured. The specificity and avidity were determined by western blotting and indirect enzyme‑linked immunosorbent assay (ELISA). Amino acids 54‑65 (MAP1) and 78‑92 (MAP2) of mTNF‑α were predicted as most likely to be B‑cell epitopes. Dynamic monitoring of antibody concentration demonstrated that MAP1 and MAP2 may induce the production of specific antibodies with a higher antibody level for MAP2. Furthermore, MAP1 and MAP2 were confirmed to induce mTNF‑α‑specific antibodies by western blotting. Indirect ELISA was used to confirm that MAP2 had the highest affinity with commercial anti‑mTNF‑α antibody. Amino acids 54‑65 and 78‑94 of mTNF‑α are B‑cell epitopes, wherein amino acids 78‑94 have the strongest immunogenicity. The present study provides a theoretical basis for further research into the mTNF‑α polypeptide antibody and a B‑cell MAP vaccine.

