A Comprehensive Atlas of Immunological Differences Between Humans, Mice, and Non-Human Primates.

Animal models are an integral part of the drug development and evaluation process. However, they are unsurprisingly imperfect reflections of humans, and the extent and nature of many immunological differences are unknown. With the rise of targeted and biological therapeutics, it is increasingly important that we understand the molecular differences in the immunological behavior of humans and model organisms. However, very few antibodies are raised against non-human primate antigens, and databases of cross-reactivity between species are incomplete. Thus, we screened 332 antibodies in five immune cell populations in blood from humans and four non-human primate species generating a comprehensive cross-reactivity catalog that includes cell type-specificity. We used this catalog to create large mass cytometry universal cross-species phenotyping and signaling panels for humans, along with three of the model organisms most similar to humans: rhesus and cynomolgus macaques and African green monkeys; and one of the mammalian models most widely used in drug development: C57BL/6 mice. As a proof-of-principle, we measured immune cell signaling responses across all five species to an array of 15 stimuli using mass cytometry. We found numerous instances of different cellular phenotypes and immune signaling events occurring within and between species, and detailed three examples (double-positive T cell frequency and signaling; granulocyte response to Bacillus anthracis antigen; and B cell subsets). We also explore the correlation of herpes simian B virus serostatus on the immune profile. Antibody panels and the full dataset generated are available online as a resource to enable future studies comparing immune responses across species during the evaluation of therapeutics.

Relevance of Antibody Validation for Flow Cytometry.

Antibody reagents are the key components of multiparametric flow cytometry analysis. Their quality performance is an absolute requirement for reproducible flow cytometry experiments. While there is an enormous body of antibody reagents available, there is still a lack of consensus about which criteria should be evaluated to select antibody reagents with the proper performance, how to validate antibody reagents for flow cytometry, and how to interpret the validation results. The achievements of cytometry moved the field to a higher number of measured parameters, large data sets, and computational data analysis approaches. These advancements pose an increased demand for antibody reagent performance quality. This review summarizes the codevelopment of cytometry, antibody development, and validation strategies. It discusses the diverse issues of the specificity, cross-reactivity, epitope, titration, and reproducibility features of antibody reagents, and this review discusses the validation principles and methods that are currently available and those that are emerging. We argue that significant efforts should be invested by antibody users, developers, manufacturers, and publishers to increase the quality and reproducibility of published studies. More validation data should be presented by all stakeholders; however, the data should be presented in sufficient experimental detail to foster reproducibility, and community effort shall lead to the public availability of large data sets that can serve as a benchmark for antibody performance. © 2019 International Society for Advancement of Cytometry.