Binding units (BU) and the area under binding isotherms (AUI). New indices of effector-target conjugation

Cross-linking of MHC class I molecules on human NK cells inhibits NK cell function, segregates MHC I from the NK cell synapse, and induces intracellular phosphotyrosines

Engagement of major histocompatibility complex (MHC) class I molecules on immune cells, where they are usually highly expressed, induces signal transduction events of unclear significance. We show here that antibody-mediated cross-linking of MHC-I molecules on human natural killer (NK) cells inhibits their cytotoxic activity against tumor target cells. Inhibition by anti-MHC class I monoclonal antibody exhibits molecular specificity and is an isotype and Fc-independent process. Physical hindrance of specific molecular recognition, induction of apoptosis, or reciprocal NK cell killing, which could be induced by cross-linking of MHC I molecules, has also been ruled out as putative mechanisms of inhibition. Confocal microscopy analysis revealed that MHC class I molecules on the surface of NK cells colocalize constitutively with GM1, a marker of lipid rafts. Cross-linking of MHC class I resulted in the asymmetric redistribution of GM1-enriched raft domains, which are concentrated to the immunological synapse, and MHC I molecules, which segregate to the opposite pole. Also, the cross-linking of MHC I on NK cells induced intracellular tyrosine phosphorylations. These results suggest that MHC I molecules on NK cells could transmit inhibitory signals upon engagement with putative ligands expressed on the surface of those cells that need to be protected from natural cytotoxicity.

Study of the physical meaning of the binding parameters involved in effector-target conjugation using monoclonal antibodies against adhesion molecules and cholera toxin

In earlier work, we established a mathematical model to characterize the binding properties of cytotoxic cells to target cells. These properties can be described by the values of the maximum effector and target conjugate frequencies, alpha(max) and beta(max), respectively, and the dissociation constant of the conjugates formed, K(D) (Garcia-Peñarrubia, P., Cabrera, L., Alvarez, R., and Galvez, J., J. Immunol. Methods 155 (1992) 133). Here, we address the problem of exploring the physical meaning of these parameters and their relationships with cytotoxicity. With this purpose, conjugation between a human leukemic NK cell line (NKL) and K562 tumor cells has been studied from binding isotherms obtained from data of effector (alpha) and target (beta) conjugate frequencies measured by flow cytometry analysis at different effector-to-target ratios (R). The results have been compared to those obtained after target cells treatment with monoclonal antibodies recognizing adhesion molecules ICAM-1 (CD54) and LFA-3 (CD58) (which are able to block some of the receptors implicated in conjugation), as well as with cholera toxin (CTX) that can modify the state of affinity of some adhesion molecules such as LFA-1 (CD11a/CD18). The results show that: (1) blocking adhesion receptors CD54 and CD58 on the surface of target cells leads to a significant decrease of alpha(max) and beta(max), indicating that these parameters are related to the density of expression of receptors implicated in effector-target adhesion; (2) treatment of effector cells with CTX induced an increase of K(D), demonstrating that this parameter is associated with the effector-target affinity of the system; and (3) parallel experiments of conjugation and cytotoxicity showed that effector-target affinity and saturability influence the cytotoxic activity of the effector population.

Computational models in immunological methods: an historical review

The utilization of computational models in immunology dates from the birth of the science. From the description of antibody-antigen binding to the structural models of receptors, models are utilized to bring fundamental understandings of the processes together with laboratory measurements to uncover implications of these data. In this review, an historical view of the role of computational models in the immunology laboratory is presented, and short mathematical descriptions are given of fundamental assays. In addition, the range of current uses of models is explored -- especially as seen through papers which have appeared in the Journal of Immunological Methods from volume 1 (1971/1972) to volume 208 (1997). Each paper which introduced a new mathematical, statistical, or computer simulation model, or introduced an enhancement to an instrument through a model in those volumes is cited and the type of computational model noted.

Determination of parameters that characterize effector-target conjugation of human NK and LAK cells by flow cytometry

Effector-target conjugation between different cell populations of human NK cells and K562 tumor cells has been studied from binding isotherms obtained from data of effector (alpha) and target (beta) conjugate frequencies measured by flow cytometry analysis at different effector-to-target ratios. Non-linear and linear regression methods were applied to these isotherms to calculate the binding parameters that characterize the process of conjugation, namely, the maximum effector and target conjugate frequencies, the dissociation constant of the conjugates formed, the binding units and the area under the binding isotherms. The results obtained show that: (1) flow cytometry analysis of effector-target conjugation is faster, unbiased and more suitable than microscopic counting of conjugates, thereby permitting the analysis of larger number of conjugates in shorter times, (2) the binding parameters derived from conjugate frequencies obtained by flow cytometry analysis differ from those obtained by microscopy, (3) the discrepancies between the two methods are due to the presence of several cells engaged in multicellular conjugates that are detected as single particles by flow cytometry and (4) the analysis of population distributions of the conjugates formed at different values of the effector-to-target ratio permit the above discrepancies to be corrected.

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

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.