Dryad
Published November 15, 2023 | Version v1
Software Open

Data from: Spatiotemporal-social association predicts immunological similarity in rewilded mice

Authors/Creators

  • 1. Princeton University
  • 2. National Institutes of Health
  • 3. New York University
  • 4. Janelia Farm Research Campus
  • 5. Stanford University
  • 6. University of Pennsylvania

Description

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 social networks for immune phenotype and suggest potential immunological correlates of social life.

Notes

Funding provided by: National Science Foundation
Crossref Funder Registry ID: https://ror.org/021nxhr62
Award Number: DGE-2039656

Funding provided by: National Institute of Allergy and Infectious Diseases
Crossref Funder Registry ID: https://ror.org/043z4tv69
Award Number:

Funding provided by: New Jersey Alliance for Clinical and Translational Research*
Crossref Funder Registry ID:
Award Number: UL1TR003017

Methods

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.

Files

Files (211.1 kB)

Name Size Download all
md5:d6436564a512b0a103ca5692040d6513
13.8 kB Download
md5:ed02db3d2ec248a3933cb5af4bb9b2e5
17.4 kB Download
md5:23350faa30ccc37f12e4cf372ef5ca19
17.3 kB Download
md5:08c1155120a44e229e99d59ece237673
32.3 kB Download
md5:03cb616b5e4ddb7419cc3e5856c12020
108.7 kB Download
md5:2fe280fb2558ef429d3bd57f60221979
21.5 kB Download

Additional details

Related works

Is cited by
10.1101/2023.03.15.532825 (DOI)
Is source of
10.5061/dryad.rjdfn2zjc (DOI)