A comparison of three methods for production of human hybridomas secreting autoantibodies

Niedbala, W.G. and Stott, D.I. (1998) A comparison of three methods for production of human hybridomas secreting autoantibodies. Hybridoma, 17(3), pp. 299-304.

Abstract

Human hybridomas that secrete monoclonal antibodies (MAbs) in a stable manner are technically difficult to obtain. The problems limiting their production are the low numbers of sensitized B cells in peripheral blood, the limited choice of techniques for B cell immortalization, the limited number of suitable human myeloma or lymphoblastoid fusion partners, and the inability to immunize humans with most antigens. In order to circumvent these problems, we have compared the efficiency of different methods for production of B cell lines secreting human MAbs against the nuclear antigens dsDNA, ssDNA, and Sm/RNP from patients with the autoimmune disease systemic lupus erythematosus (SLE). We have tested various combinations of the following procedures: (1) EBV infection for immortalization of activated B lymphocytes, (2) activation of human resting B lymphocytes by anti-CD40, and (3) direct fusion of lymphocytes with a myeloma cell line using PBL or splenocytes from SLE patients. The methodological aspects of this investigation include optimization of the CD40 system and the generation of human hybridomas specific for nuclear antigens by fusion between sensitized lymphocytes and the human/mouse heteromyeloma cell line CBF7. The most efficient method for producing stable, IgG autoantibody-secreting human hybridomas was fusion of lymphocytes with cell line CBF7; human spleen was the best source of lymphocytes.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Niedbala, Dr Wanda and Stott I, Professor David
• Authors: Niedbala, W.G., and Stott, D.I.
• College/School: College of Medical Veterinary and Life Sciences; College of Medical Veterinary and Life Sciences > School of Infection & Immunity
• Journal Name: Hybridoma
• ISSN: 0272-457X
• ISSN (Online): 1557-8348