Introduction: Immune therapy plays a larger role in cancer treatment these days, but in order to find new therapies and improve already existing ones, more knowledge about the immune system is needed. The peripheral blood contains many different cell types, some extensively studied, some less well-known. By using multicolor flow cytometry, the immune status of an individual can be displayed in relatively short time. Aim: The aim of this study was to develop a multicolor flow cytometry method in order to examine the distribution of 31 cell types, with a focus on immune regulatory cells, in peripheral blood in healthy donors, as well as examine the impact of cryopreservation on the different subsets. Methods: After isolating the mononuclear cells from peripheral blood using Ficoll separation, each sample (n = 19) were analyzed with three flow cytometry panels. The remaining cells were cryopreserved in -190°C and later thawed and analyzed the same way as the fresh samples were. Results: The cell distribution in fresh samples were mostly consistent with other studies. While the percentage of many cell types remained unchanged after thawing, the total percentage of T helper cells and some subsets were decreased in frozen samples, leading to a decrease in total T cells. Furthermore, the percentage of total monocytes were increased and the distribution of monocyte subsets were altered in frozen samples, among others. Conclusion: This study confirms the results of other studies of the human immune system and provides valuable knowledge about the impact of cryopreservation.

Le projet Milieu Intérieur a pour but d'identifier les facteurs génétiques et environnementaux ayant un impact sur la variabilité immunitaire naturelle. Cette analyse multiparamétrique requière néanmoins d'utiliser des outils standardisés. Afin d'étudier la réponse immune induite, nous avons utilisé un système optimisé prêt à l'emploi de stimulation du sang et développé un protocole unique de quantification de l'ARN afin d'étudier la signature transcriptionnelle en réponse à des immuno-modulateurs. Testant l'hypothèse que la réponse à des composés complexes peut être définie par la signature ARN de cytokines clefs et utilisant une méthode statistique robuste, nous avons identifié 44 gènes capables d'optimiser la capture de la réponse à des stimulations plus complexes aidant à la réduction dimensionnelle pour la décomposition de réponses innées. Dans une seconde étude, l'analyse semi-automatisée par cytomètrie en flux des cellules du sang a été associée à l'analyse épidémiologique et génotypique pour les 1,000 donneurs inclus dans la cohorte. Nous avons observé que le tabac, l'âge, le genre et l'infection latente par le cytomégalovirus sont les facteurs impactant le plus la variabilité immunitaire. Cette étude a montré que les paramètres des cellules innées sont contrôlés par des facteurs génétiques alors que ceux des cellules adaptatives le sont plutôt par des expositions environnementales tout au long de la vie. Des outils interactifs incluant ces données de référence accompagnent ces études. Ces analyses montrent que nous avons développé des outils performants pour une étude intégrative du modèle humain constituant une approche innovante vers une médecine personnalisée. / The project Milieu Intérieur aims to study the genetic and environmental factors that can have a major impact on occurring immunological variance in healthy human population. This characterization requires the use of standardized immunophenotyping technologies for integrating diverse, complex datasets. With this goal in mind, we used an optimized suite of standardized whole-blood stimulation systems to study the human induced immune response in physiological condition and developed a unique standardized protocol to analyze the ARN signatures upon whole-blood stimulation to test the hypothesis that responses to complex stimuli can be defined by the transcriptional signatures of key cytokines. We found 44 genes, identified using Support Vector Machine learning, which captured the diversity of complex innate immune responses with improved segregation between distinct stimuli. This provides new strategies for dimension reduction of large datasets and for deconvolution of innate immune responses, applicable for characterizing novel immunomodulatory molecules.In a second related study, we aimed to identify the environmental and genetic factors driving innate and adaptive immune cell parameters in homeostatic conditions. To do so, we combined semi-automated flow cytometric analysis of blood leukocytes and genome-wide DNA genotyping in the 1,000 healthy donors included in the collection. We show that smoking, age, gender and latent cytomegalovirus infection, are main drivers of human variation (i.e. numbers of Treg and MAIT cells). These results demonstrated that innate cell parameters are strongly controlled by genetic factors, whereas adaptive cells are driven by life-long environmental exposures. In addition, to help on the public data mining, we developed interactive R-Shiny application including healthy donor reference values for both studies.All together, these results indicate that we developed powerful tools for human system biology approaches to support personalized medecine.