Literature DB >> 2553000

Receptor-ligand interaction: a new method for determining binding parameters without a priori assumptions on non-specific binding.

E J van Zoelen1.   

Abstract

Analysis of receptor-ligand binding characteristics can be greatly hampered by the presence of non-specific binding, defined as low-affinity binding to non-receptor domains which is not saturable within the range of ligand concentrations used. Conventional binding analyses, e.g. according to the methods described by Scatchard or Klotz, relate the amount of specific receptor-ligand binding to the concentration of free ligand, and therefore require assumptions on the amount of non-specific binding. In this paper a method is described for determining the parameters of specific receptor-ligand interaction which does not require any assumption or separate determination of the amount of non-specific binding. If the concentration of labelled free ligand is constant, a plot of Fu/(B0*-B*) versus Fu yields a linear relationship, in the case of a single receptor class, in which Fu is the concentration of unlabelled free ligand, B0* is the total amount of labelled bound ligand in the absence of unlabelled ligand and B* is the total amount of labelled bound ligand in the presence of an unlabelled ligand concentration Fu; all of these data are readily obtained from binding studies. This linear relationship holds irrespective of the amount of non-specific binding, and the values for receptor density, ligand dissociation constant and a constant for non-specific binding can be readily obtained from it. If the concentration of labelled free ligand is not a constant for all data points, data are first converted according to a straightforward normalization procedure to permit the use of this relationship. The presence of multiple receptor classes with dissociation constants in the range of the ligand concentrations used results in a negative deviation from this linearity, and therefore the presence of multiple receptor classes can be discriminated unequivocally from non-specific binding. Both theoretical and practical advantages of the present method are described. The method, which will be referred to as the linear subtraction method, is illustrated using the binding of tumour promoters and polypeptide growth factors to their specific cellular receptors.

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Year:  1989        PMID: 2553000      PMCID: PMC1133303          DOI: 10.1042/bj2620549

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  7 in total

1.  'Non-specific' binding. The problem, and a solution.

Authors:  C M Mendel; D B Mendel
Journal:  Biochem J       Date:  1985-05-15       Impact factor: 3.857

2.  Ligand: a versatile computerized approach for characterization of ligand-binding systems.

Authors:  P J Munson; D Rodbard
Journal:  Anal Biochem       Date:  1980-09-01       Impact factor: 3.365

3.  Numbers of receptor sites from Scatchard graphs: facts and fantasies.

Authors:  I M Klotz
Journal:  Science       Date:  1982-09-24       Impact factor: 47.728

4.  How to analyze binding, enzyme and uptake data: the simplest case, a single phase.

Authors:  J A Zivin; D R Waud
Journal:  Life Sci       Date:  1982-04-26       Impact factor: 5.037

5.  Epidermal growth factor receptor expression during morphological differentiation of pheochromocytoma cells, induced by nerve growth factor or dibutyryl cyclic AMP.

Authors:  J Boonstra; C L Mummery; A Feyen; W J de Hoog; P T van der Saag; S W de Laat
Journal:  J Cell Physiol       Date:  1987-06       Impact factor: 6.384

6.  Protein kinase C and phorbol ester receptor expression related to growth and differentiation of nullipotent and pluripotent embryonal carcinoma cells.

Authors:  G T Snoek; C L Mummery; C E van den Brink; P T van der Saag; S W de Laat
Journal:  Dev Biol       Date:  1986-06       Impact factor: 3.582

7.  Mutations in the cytoplasmic domain of EGF receptor affect EGF binding and receptor internalization.

Authors:  R Prywes; E Livneh; A Ullrich; J Schlessinger
Journal:  EMBO J       Date:  1986-09       Impact factor: 11.598

  7 in total
  13 in total

1.  Characterization and isolation of a high-density-lipoprotein-binding protein from bovine corpus luteum plasma membrane.

Authors:  K Ferreri; K M Menon
Journal:  Biochem J       Date:  1992-11-01       Impact factor: 3.857

2.  Estimation of binding parameters for the protein-protein interaction using a site-directed spin labeling and EPR spectroscopy.

Authors:  Marcin Sarewicz; Sebastian Szytuła; Małgorzata Dutka; Artur Osyczka; Wojciech Froncisz
Journal:  Eur Biophys J       Date:  2007-11-30       Impact factor: 1.733

3.  Understanding the interactions between porphyrin-containing photosensitizers and polymer-coated nanoparticles in model biological environments.

Authors:  Samir V Jenkins; Avinash Srivatsan; Kimberly Y Reynolds; Feng Gao; Yongbin Zhang; Colin D Heyes; Ravindra K Pandey; Jingyi Chen
Journal:  J Colloid Interface Sci       Date:  2015-09-15       Impact factor: 8.128

4.  The different inhibiting effect of cholera toxin on two leukemia cell lines does not correlate with their toxin binding capacity.

Authors:  A Giuliani; E Calappi; E Mineo; M G Neri; A Gallina; A Pessina
Journal:  Mol Cell Biochem       Date:  1995-11-22       Impact factor: 3.396

5.  A specific DIF binding protein in Dictyostelium.

Authors:  R Insall; R R Kay
Journal:  EMBO J       Date:  1990-10       Impact factor: 11.598

6.  Somatostatin-binding sites on rat telencephalic astrocytes. Light- and electron-microscopic studies in vitro and in vivo.

Authors:  R Mentlein; C Buchholz; B Krisch
Journal:  Cell Tissue Res       Date:  1990-12       Impact factor: 5.249

7.  Bradykinin-induced growth inhibition of normal rat kidney (NRK) cells is paralleled by a decrease in epidermal-growth-factor receptor expression.

Authors:  E J Van Zoelen; P H Peters; G B Afink; S Van Genesen; D G De Roos; W Van Rotterdam; A P Theuvenet
Journal:  Biochem J       Date:  1994-03-01       Impact factor: 3.857

8.  PDGF alpha- and beta-receptors activate unique and common signal transduction pathways.

Authors:  A Eriksson; A Siegbahn; B Westermark; C H Heldin; L Claesson-Welsh
Journal:  EMBO J       Date:  1992-02       Impact factor: 11.598

9.  The effect of erythropoietin on normal and neoplastic cells.

Authors:  Steve Elliott; Angus M Sinclair
Journal:  Biologics       Date:  2012-06-27

10.  Increased Kit/SCF receptor induced mitogenicity but abolished cell motility after inhibition of protein kinase C.

Authors:  P Blume-Jensen; A Siegbahn; S Stabel; C H Heldin; L Rönnstrand
Journal:  EMBO J       Date:  1993-11       Impact factor: 11.598

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