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Relationships between immune gene expression and circulating cytokine levels in wild house mice
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  • Stuart Young,
  • Jonathan Fenn,
  • Elena Arriero,
  • Ann Lowe,
  • Benoit Poulin,
  • Andrew Maccoll,
  • Jan Bradley
Stuart Young
University of Nottingham

Corresponding Author:sbyoung88@gmail.com

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Jonathan Fenn
University of Nottingham
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Elena Arriero
University Complutense of Madrid
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Ann Lowe
University of Nottingham
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Benoit Poulin
University Hospitals of Leicester NHS Trust
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Andrew Maccoll
University of Nottingham
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Jan Bradley
University of Nottingham
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1. Quantitative PCR (qPCR) has been commonly used to measure gene expression in a number of research contexts, but the measured RNA concentrations do not always represent the concentrations of active proteins which they encode. This can be due to transcriptional regulation or post-translational modifications, or localisation of immune environments, as can occur during infection. However, in studies using free-living non-model species, such as in ecoimmunological research, qPCR may be the only available option to measure a parameter of interest, and so understanding the quantitative link between gene expression and associated effector protein levels is vital. 2. Here we use qPCR to measure concentrations of RNA from mesenteric lymph node (MLN) and spleen tissue, and multiplex ELISA of blood serum to measure circulating cytokine concentrations in a wild population of a model species, Mus musculus domesticus. 3. Few significant correlations were found between gene expression levels and circulating cytokines of the same immune genes or proteins, or related functional groups. Where significant correlations were observed, these were most frequently within the measured tissue (i.e. the expression levels of genes measured from spleen tissue were more likely to correlate with each other rather than with genes measured from MLN tissue, or with cytokine concentrations measured from blood). 4. Potential reasons for discrepancies between measures, including differences in decay rates and transcriptional regulation networks are discussed. We highlight the relative usefulness of different measures under different research questions, and consider what might be inferred from immune assays.
21 May 2020Submitted to Ecology and Evolution
22 May 2020Submission Checks Completed
22 May 2020Assigned to Editor
27 May 2020Reviewer(s) Assigned
21 Jun 2020Review(s) Completed, Editorial Evaluation Pending
22 Jun 2020Editorial Decision: Revise Minor
28 Aug 20201st Revision Received
29 Aug 2020Review(s) Completed, Editorial Evaluation Pending
29 Aug 2020Submission Checks Completed
29 Aug 2020Assigned to Editor
31 Aug 2020Reviewer(s) Assigned
01 Oct 2020Editorial Decision: Accept
Dec 2020Published in Ecology and Evolution volume 10 issue 24 on pages 13860-13871. 10.1002/ece3.6976