Rapid multivariate analysis and display of cross-reacting antibodies on human leukocytes.

We present an application which can rapidly determine the binding patterns of monoclonal antibodies on mixed populations of cells simultaneously in a single rapid analysis. It is an application of the tube identifier parameter (TIP) system which can provide fully correlated list-mode data of the entire patient phenotype in a single file. Using the phenogram analytical display, we are able to determine the cross-reacting antibodies for an entire antibody panel for each cell type. This information can be displayed in a single plot. Using light scatter gating to select different populations of lymphocytes, monocytes, and neutrophils, phenograms can be simultaneously generated. This provides a directly comparable means of displaying the positive and negative binding characteristics of each antibody on each cell population. Any marker combination that is abnormal will be identifiable in the phenogram. Additionally, by plotting the fluorescence distributions of each marker beside one another (termed overview), quantifiable differences in intensity can be determined. There are 3 major benefits of the proposed analysis. By using the TIP concept, several sets of antibodies can be compared simultaneously. Any light scatter gate can be used and this gate can be changed on one histogram or plot, yet apply to the total analysis. Data analysis is particularly rapid since the entire phenotype of a patient can be evaluated by performing a single rapid analysis.

[1]  D. Houck,et al.  Light scattered at two wavelengths can discriminate viable lymphoid cell populations on a fluorescence-activated cell sorter. , 1981, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[2]  L Harvath,et al.  Quality control in clinical flow cytometry. , 1988, Pathology and immunopathology research.

[3]  C. Caldwell,et al.  A rapid, no-wash technic for immunophenotypic analysis by flow cytometry. , 1986, American journal of clinical pathology.

[4]  E. Everett,et al.  Flow cytometric analysis of acute leukemias , 1990 .

[5]  J V Watson.  Time, a quality-control parameter in flow cytometry. , 1987, Cytometry.

[6]  A. Jackson.  Basic phenotyping of lymphocytes: Selection and testing of reagents and interpretation of data , 1990 .

[7]  M R Loken,et al.  Establishing optimal lymphocyte gates for immunophenotyping by flow cytometry. , 1990, Cytometry.

[8]  McCarthy Rc,et al.  Issues for quality assurance in clinical flow cytometry. , 1989 .

[9]  M R Loken,et al.  Cell discrimination by multiangle light scattering. , 1976, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[10]  J. Paul Robinson,et al.  An innovation in flow cytometry data collection and analysis producing a correlated multiple sample analysis in a single file. , 1991, Cytometry.

[11]  R. Hoffman,et al.  Controls for Flow Cytometers in Hematology and Cellular Immunology , 1986, Annals of the New York Academy of Sciences.

[12]  A. Landay,et al.  Procedural guidelines for performing immunophenotyping by flow cytometry. , 1989, Clinical immunology and immunopathology.

[13]  Melamed Mr.  Quality control in the cytology laboratory. , 1976 .

[14]  J. Fahey,et al.  Results of the flow cytometry ACTG quality control program: analysis and findings. , 1989, Clinical immunology and immunopathology.

[15]  M. Loken,et al.  Two color light scattering identifies physical differences between lymphocyte subpopulations. , 1982, Cytometry.