Quality Control of Murine Monoclonal Antibodies Using Isoelectric Focusing Affinity Immunoblot Analysis
- 1 April 1987
- journal article
- research article
- Published by Mary Ann Liebert Inc in Hybridoma
- Vol. 6 (2), 205-217
- https://doi.org/10.1089/hyb.1987.6.205
Abstract
Quality control of murine hybridoma secretory products was performed using two variations of the isoelectric focusing affinity immunoblot analysis. The first approach employed antigen-coated nitrocellulose placed on top of an acrylamide gel containing isoelectrically focused ascites to bind antigen specific monoclonal antibody (MoAb). Murine antibody bound to the insolubilized antigen was then detected with enzyme-conjugated anti-mouse IgG. In a second variation, focused ascites proteins were passively blotted onto nitro-cellulose and specific monoclonal antibody was detected with enzyme-conjugated antigen. Several batches of ascites containing anti-human IgG antibodies that were produced by 6 hybridomas over a 1–3 year period were assessed by IEF-affinity immunoblot analysis. Both immunoblot approaches permitted effective monitoring of immunoreactive antibody for pI microheterogeneity. IEF-affinity immunoblot patterns of unprocessed ascites displayed specific MoAb banding patterns with narrow pI ranges (≤0.6 pH units), in contrast to the reported 5.5–8.0 pI range of polyclonal mouse IgG. Banding patterns obtained in the IEF affinity immunoblot typically displayed 3–5 major dense bands flanked by 2–4 minor fainter bands. Batches of ascites obtained years apart produced similar immunoblot patterns, indicating constant antibody production and confirming the stability of these hybridoma clones. Minor bands appeared in 2 earlier lots of ascites, suggesting possible modification of antibody during storage. IEF affinity immunoblot analysis is a useful tool for monitoring MoAb pI micro-heterogeneity as an indicator of antibody quality without the need for isolation of monoclonal antibody from culture medium or ascites.This publication has 18 references indexed in Scilit:
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