An alternative strategy for high throughput generation and characterization of monoclonal antibodies against human plasma proteins using fractionated native proteins as immunogens.
ABSTRACT Construction of a monoclonal antibody (mAb) bank containing a vast variety of antibodies against human tissue proteins is important for proteomic research. A novel strategy of subtractive immunization using fractionated native proteins was developed for high throughput generation of mAb against human plasma proteins. By this novel approach, the bottleneck of antigen preparation can be overcome by combining repeated immunization of animals with subtracted fractions of plasma or tissue proteins and identification of target antigen by immunoprecipitation/mass spectrum strategies. Plasma freshly collected from healthy adults was pooled and three fractions were prepared by size exclusion chromatography. Mice were immunized with the fractionated plasma proteins, and 205 strains of hybridomas secreting mAb were obtained after two-round subtractive immunizations and cell fusions. In the first round, 110 strains of hybridomas were established, in which 77 strains secreting mAb were identified against 10 human plasma high-abundant proteins. In the second round, plasma fraction I was absorbed with mAb against IgM, IgG, ceruloplasmin and haptoglobin. The absorbed fraction I was used as immunogen for the second round immunization and cell fusion. Ninety-five strains of hybridomas secreting mAb were obtained. Although the target antigens of mAb from 82 strains of hybridomas were identified as IgM, IgA, alpha2-macroglobulin and fibrinogen, about 85% antibodies obtained from this round were identified as new antibodies when compared with mAb obtained in the first round immunization with plasma fraction I. The results suggest that subtractive immunization with fractionated plasma proteins followed by identification of antigens with immunoprecipitation/mass spectrum may be an effective approach for rapid preparation of mAb against high-and medium-abundant plasma or tissue proteins.
Article: Identification of ATP synthase beta subunit (ATPB) on the cell surface as a non-small cell lung cancer (NSCLC) associated antigen.[show abstract] [hide abstract]
ABSTRACT: Antibody-based immunotherapy has achieved some success for cancer. But the main problem is that only a few tumor-associated antigens or therapeutic targets have been known to us so far. It is essential to identify more immunogenic antigens (especially cellular membrane markers) for tumor diagnosis and therapy. The membrane proteins of lung adenocarcinoma cell line A549 were used to immunize the BALB/c mice. A monoclonal antibody 4E7 (McAb4E7) was produced with hybridoma technique. MTT cell proliferation assay was carried out to evaluate the inhibitory effect of McAb4E7 on A549 cells. Flow cytometric assay, immunohistochemistry, western blot and proteomic technologies based on 2-DE and mass spectrometry were employed to detect and identify the corresponding antigen of McAb4E7. The monoclonal antibody 4E7 (McAb4E7) specific against A549 cells was produced, which exhibited inhibitory effect on the proliferation of A549 cells. By the proteomic technologies, we identified that ATP synthase beta subunit (ATPB) was the corresponding antigen of McAb4E7. Then, flow cytometric analysis demonstrated the localization of the targeting antigen of McAb4E7 was on the A549 cells surface. Furthermore, immunohistochemistry showed that the antigen of McAb4E7 mainly aberrantly expressed in tumor cellular membrane in non-small cell lung cancer (NSCLC), but not in small cell lung cancer (SCLC). The rate of ectopic expressed ATPB in the cellular membrane in lung adenocarcinoma, squamous carcinoma and their adjacent nontumourous lung tissues was 71.88%, 66.67% and 25.81% respectively. In the present study, we identified that the ectopic ATPB in tumor cellular membrane was the non-small cell lung cancer (NSCLC) associated antigen. ATPB may be a potential biomarker and therapeutic target for the immunotherapy of NSCLC.BMC Cancer 02/2009; 9:16. · 3.01 Impact Factor