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Immunochemical Characterization of Receptors for Insulin and Insulinlike Growth Factor-I

  • Steven Jacobs

Abstract

Receptors for insulin and insulinlike growth factors are present in target cells in extremely low quantities. They comprise only a small fraction of a percentage of the total membrane protein. Methods useful for their detection and characterization must therefore be exquisitely sensitive and specific. The high affinity and specificity of the hormones themselves, which are requisite for their biological function, provide the basis for one group of extensively used methods for investigating these receptors. Antibodies directed against these receptors provide another group of reagents with the necessary specificity and sensitivity. For certain purposes, antibodies have clear advantages over the hormones themselves. While hormone binding requires that the native conformation of the receptor be intact, many antibodies will react with the receptors even after they are denatured. Furthermore, receptors for insulin and insulinlike growth factors are large molecules with multiple domains. While insulin and the insulinlike growth factors react with their receptors at a single domain with a specificity that is fixed by nature, it is possible to select different antibodies that react with different sites on the receptors and exhibit different properties. It is therefore at least theoretically possible to use antibodies to map out different domains on the receptor and to learn something about their function. Monoclonal antibodies, because they recognize a single epitope, are ideal for this purpose. However, polyclonal antisera have also been useful. This chapter describes a series of antibodies that react with insulin and insulinlike growth factor-I receptors as well as information acquired by their use.

Keywords

Insulin Receptor Phorbol Ester Polyclonal Antiserum Insulin Binding Acanthosis Nigricans 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1985

Authors and Affiliations

  • Steven Jacobs
    • 1
  1. 1.The Wellcome Research LaboratoriesResearch Triangle ParkUSA

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