title: The derivation of binding parameters from effector and target conjugate frequency data using linear and non-linear data-fitting transformations. Application of such transformations to the NK-MOLT4 and NK-K562 effector-target systems.
abstract: Effector-target conjugation is described quantitatively by binding isotherms which are characterized by three parameters, the maximum effector and target conjugate frequencies, alpha max and beta max, and the dissociation constant of the conjugates formed, KD. In this paper the application of non-linear data-fitting techniques, as well as linear transformations of the binding isotherms that permit us to use standard regression analysis, has been tested to calculate estimates of these parameters in the NK-MOLT4 and NK-K562 effector-target systems. Both unweighted and weighted data were used to calculate alpha max, beta max and KD for six different donors which were used as a source of NK cells. The results obtained have shown that these regression methods are useful for revealing potential disparities between binding efficiencies in effector-target systems.
authors.affiliation: Department of Biochemistry and Molecular Biology B and Immunology, School of Medicine, Espinardo, Murcia, Spain.
authors.forename: P
authors.initials: P
authors.lastname: Garcia-Peñarrubia
authors.forename: L
authors.initials: L
authors.lastname: Cabrera
authors.forename: F
authors.initials: F
authors.lastname: Lajarin
authors.forename: J
authors.initials: J
authors.lastname: Galvez
mesh_terms: D000328:Adult; D000818:Animals; D002469:Cell Separation; D003602:Cytotoxicity, Immunologic; D003627:Data Interpretation, Statistical; D006801:Humans; D018796:Immunoconjugates / Q000378:metabolism*; D007158:Immunologic Techniques / Q000706:statistics & numerical data; D066298:In Vitro Techniques; D007694:Killer Cells, Natural / Q000276:immunology*; D007700:Kinetics; D016014:Linear Models; D008954:Models, Biological; D017711:Nonlinear Dynamics; D012044:Regression Analysis
chemical_list: D018796:Immunoconjugates