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Relationships between immune gene expression and circulating cytokine levels in wild house mice

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 modi...

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Autores principales: Young, Stuart, Fenn, Jonathan, Arriero, Elena, Lowe, Ann, Poulin, Benoit, MacColl, Andrew D.C., Bradley, Janette E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771139/
https://www.ncbi.nlm.nih.gov/pubmed/33391686
http://dx.doi.org/10.1002/ece3.6976
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author Young, Stuart
Fenn, Jonathan
Arriero, Elena
Lowe, Ann
Poulin, Benoit
MacColl, Andrew D.C.
Bradley, Janette E.
author_facet Young, Stuart
Fenn, Jonathan
Arriero, Elena
Lowe, Ann
Poulin, Benoit
MacColl, Andrew D.C.
Bradley, Janette E.
author_sort Young, Stuart
collection PubMed
description 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 localization 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.
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spelling pubmed-77711392020-12-31 Relationships between immune gene expression and circulating cytokine levels in wild house mice Young, Stuart Fenn, Jonathan Arriero, Elena Lowe, Ann Poulin, Benoit MacColl, Andrew D.C. Bradley, Janette E. Ecol Evol Original Research 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 localization 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. John Wiley and Sons Inc. 2020-11-09 /pmc/articles/PMC7771139/ /pubmed/33391686 http://dx.doi.org/10.1002/ece3.6976 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Young, Stuart
Fenn, Jonathan
Arriero, Elena
Lowe, Ann
Poulin, Benoit
MacColl, Andrew D.C.
Bradley, Janette E.
Relationships between immune gene expression and circulating cytokine levels in wild house mice
title Relationships between immune gene expression and circulating cytokine levels in wild house mice
title_full Relationships between immune gene expression and circulating cytokine levels in wild house mice
title_fullStr Relationships between immune gene expression and circulating cytokine levels in wild house mice
title_full_unstemmed Relationships between immune gene expression and circulating cytokine levels in wild house mice
title_short Relationships between immune gene expression and circulating cytokine levels in wild house mice
title_sort relationships between immune gene expression and circulating cytokine levels in wild house mice
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771139/
https://www.ncbi.nlm.nih.gov/pubmed/33391686
http://dx.doi.org/10.1002/ece3.6976
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