Spatiotemporal-social association predicts immunological similarity in rewilded mice

Environmental influences on immune phenotypes are well-documented, but our understanding of which elements of the environment affect immune systems, and how, remains vague. Behaviors, including socializing with others, are central to an individual’s interaction with its environment. We therefore tracked behavior of rewilded laboratory mice of three inbred strains in outdoor enclosures and examined contributions of behavior, including associations measured from spatiotemporal cooccurrences, to immune phenotypes. We found extensive variation in individual and social behavior among and within mouse strains upon rewilding.  And we found that the more associated two individuals were, the more similar their immune phenotypes were. Spatiotemporal association was particularly predictive of similar memory T and B cell profiles and was more influential than sibling relationships or shared infection status. These results highlight the importance of shared spatiotemporal activity patterns and/or so..., This dataset includes the data and analysis code for Downie et al. (2023 preprint, 202? publication). It is a mixture of immune cell phenotypes, serum cytokines, MLN cytokine production, microbiome (sequenced via 16S), and behavioral data from RFID check-ins. Please see the preprint (or eventual manuscript) for details about the methodology and degree of processing. The behavioral data is largely unprocessed, while the flow cytometry data and ELISA data are post-processing., , # Data from: Spatiotemporal-social association predicts immunological similarity in rewilded mice

[https://doi.org/10.5061/dryad.rjdfn2zjc](https://doi.org/10.5061/dryad.rjdfn2zjc)

This dataset contains immune data, behavior data, and related R code for processing, analyzing, and plotting the data and model results. The immune data include flow cytometry data from lymphocytes, serum concentrations of cytokines, concentrations of cytokines produced by MLN cells following antigenic challenge, and complete blood count profiles. The data also include gut microbiome data, as measured via 16S sequencing.

This dataset goes with a preprint, Downie et al. (2023) (linked [here](https://www.biorxiv.org/content/10.1101/2023.03.15.532825v1)), and the associated manuscript, provisionally accepted by *Science Advances*.

## Description of the data and file structure

The data are presented in comma-separated-value (CSV) files, except the microbiome data; these are in a tab-delimited file. The full ...