PubMed · 4101388
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O Günther. 1971. [Evolution and immunology].. https://pubmed.ncbi.nlm.nih.gov/4101388/
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Standardized statistical and graphical methods for analysis of limiting dilution assays are highly desirable to enable investigators to compare and interpret results and conclusions with greater accuracy and precision. According to these requirements, we present in this work a powerful statistical slope test that estimates the fit of the single-hit Poisson model to limiting dilution experiments. This method is readily amenable to a graphical representation. This slope test is obtained by modeling limiting dilution data according to a linear log-log regression model, which is a generalized linear model specially designed for modeling binary data. The result of the statistical slope test can then be graphed to visualize whether the data are compatible or not with the single-hit Poisson model. We demonstrate this statistical test and its graphical representation by using two examples: a real limiting dilution experiment evaluating the growth frequency of IL-2-responsive tumor-infiltrating T cells in a malignant lymph node involved by a B cell non-Hodgkin's lymphoma, and a simulation of a limiting dilution assay corresponding to a theoretical non-single-hit Poisson model, suppressor two-target Poisson model.
Karl Landsteiner received the Nobel Prize for Medicine in 1930. He worked in Vienna, The Hague and New York, making fundamental contributions in the field of immune hematology (blood groups and Rhesus factor), syphilis (visualising spirochetes in the dark field) and poliomyelitis (viral genesis). In particular, his findings in the general field of serology and immunology (haptens, specificity of antigens) have not lost any of their significance and are valid to this day.
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