TY - JOUR
T1 - Network analysis of the immune state of mice
AU - Fonseca dos Reis, Elohim
AU - Viney, Mark
AU - Masuda, Naoki
N1 - Funding Information:
The wild and laboratory mouse data set was generated during the tenure of the NERC grant NE/I022892/1. We would like to thank the University of Bristol’s Jean Golding Institute for seed-corn funding. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)— Finance Code 001. We would also like to thank Steve Abolins, Liz King, Laura Weldon, Louise Hughes, Paul Drescher, John Raynes and Julius Hafalla for their generation of the data, and Eleanor Riley for useful discussions.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - The mammalian immune system protects individuals from infection and disease. It is a complex system of interacting cells and molecules, which has been studied extensively to investigate its detailed function, principally using laboratory mice. Despite the complexity of the immune system, it is often analysed using a restricted set of immunological parameters. Here we have sought to generate a system-wide view of the murine immune response, which we have done by undertaking a network analysis of 120 immune measures. To date, there has only been limited network analyses of the immune system. Our network analysis identified a relatively low number of communities of immune measure nodes. Some of these communities recapitulate the well-known T helper 1 vs. T helper 2 cytokine polarisation (where ordination analyses failed to do so), which validates the utility of our approach. Other communities we detected show apparently novel juxtapositions of immune nodes. We suggest that the structure of these other communities might represent functional immunological units, which may require further empirical investigation. These results show the utility of network analysis in understanding the functioning of the mammalian immune system.
AB - The mammalian immune system protects individuals from infection and disease. It is a complex system of interacting cells and molecules, which has been studied extensively to investigate its detailed function, principally using laboratory mice. Despite the complexity of the immune system, it is often analysed using a restricted set of immunological parameters. Here we have sought to generate a system-wide view of the murine immune response, which we have done by undertaking a network analysis of 120 immune measures. To date, there has only been limited network analyses of the immune system. Our network analysis identified a relatively low number of communities of immune measure nodes. Some of these communities recapitulate the well-known T helper 1 vs. T helper 2 cytokine polarisation (where ordination analyses failed to do so), which validates the utility of our approach. Other communities we detected show apparently novel juxtapositions of immune nodes. We suggest that the structure of these other communities might represent functional immunological units, which may require further empirical investigation. These results show the utility of network analysis in understanding the functioning of the mammalian immune system.
UR - http://www.scopus.com/inward/record.url?scp=85101411468&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101411468&partnerID=8YFLogxK
U2 - 10.1038/s41598-021-83139-7
DO - 10.1038/s41598-021-83139-7
M3 - Article
C2 - 33619299
AN - SCOPUS:85101411468
SN - 2045-2322
VL - 11
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 4306
ER -