Data Exploration

In order to allow the scientific community to openly access the processed data of Milieu Intérieur. The MI researchers have, whenever possible, created Shiny Apps that are open and free to use. They are listed here below, and linked to their reference publications:

MI Shiny Apps are on the Pasteur Shiny Server.

1. Patin E, et al. Natural variation in the parameters of innate immune cells is preferentially driven by genetic factors. Nat Immunol. 2018 Mar;19(3):302-314. doi: 10.1038/s41590-018-0049-7.

   • https://pubmed.ncbi.nlm.nih.gov/29476184/

2. Clave E, et al. Human thymopoiesis is influenced by a common genetic variant within the TCRA-TCRD locus. Sci Transl Med. 2018 Sep 5;10(457):eaao2966. doi: 10.1126/scitranslmed.aao2966.

   • https://mithymus.pasteur.fr/

3. Bergstedt J, et al. The immune factors driving DNA methylation variation in human blood. Nat Commun. 2022 Oct 6;13(1):5895. doi: 10.1038/s41467-022-33511-6.

   • http://mimeth.pasteur.fr/

4. Piasecka B, et al. Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges. Proc Natl Acad Sci U S A. 2018 Jan 16;115(3):E488-E497. doi: 10.1073/pnas.1714765115.

   • https://misage.pasteur.fr/

5. Urrutia A, et al. Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses. Cell Rep. 2016 Sep 6;16(10):2777-2791. doi: 10.1016/j.celrep.2016.08.011.

   • https://www.synapse.org/Synapse:syn7059574

6. Duffy D, et al. Functional analysis via standardized whole-blood stimulation systems defines the boundaries of a healthy immune response to complex stimuli. Immunity. 2014 Mar 20;40(3):436-50. doi: 10.1016/j.immuni.2014.03.002.

   • https://milieuinterieur.shinyapps.io/ImmunityDuffy2014/