Literature DB >> 17027850

Antibody generation through B cell panning on antigen followed by in situ culture and direct RT-PCR on cells harvested en masse from antigen-positive wells.

Daniel J Lightwood1, Bruce Carrington, Alistair J Henry, Andrew J McKnight, Kenneth Crook, Karen Cromie, Alastair D G Lawson.   

Abstract

We describe a method for the generation of high-affinity monoclonal antibodies, which combines the power of natural immune responses with in vitro panning, B cell culture, RT-PCR and expression of the recombinant product. B cells from immunised rabbits were incubated at approximately 1000-10,000 cells per well with solid phase antigen coated on the surface of 96-well ELISA plates. Extensive washing removed non-binding cells as well as those B cells, which bound with low affinity. Retained B cells were cultured for 7 days in the presence of activated rabbit splenocyte supernatant and irradiated EL-4-B5 mouse thymoma cells, to induce proliferation and secretion of immunoglobulin. Supernatants were screened to confirm the presence of specific antibody, before the cells were harvested en masse from individual positive wells. Single heavy- and light-chain variable region genes were recovered from individual wells by RT-PCR, critically without the need for isolation of single B cells. Paired VH and VL genes were subsequently expressed as recombinant antibodies and shown to retain the original activity and specificity of the B cell culture supernatants. The method has also been successfully applied to the generation of high-affinity antibodies to antigen expressed on the surface of target cells.

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Year:  2006        PMID: 17027850     DOI: 10.1016/j.jim.2006.08.010

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  13 in total

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10.  Extending the half-life of a fab fragment through generation of a humanized anti-human serum albumin Fv domain: An investigation into the correlation between affinity and serum half-life.

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Journal:  MAbs       Date:  2016-06-17       Impact factor: 5.857

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