Evidence map›Paper›PMID 33391686›Full record

ArticleEcology and evolution2020

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

Stuart Young, Jonathan Fenn, Elena Arriero, Ann Lowe, Benoit Poulin, Andrew D C MacColl, Janette E Bradley

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Stuart YoungSchool of Life Sciences University of Nottingham Nottingham UK.ORCID https://orcid.org/0000-0001-6984-8323
Jonathan FennSchool of Life Sciences University of Nottingham Nottingham UK.ORCID https://orcid.org/0000-0002-9255-6975
Elena ArrieroSchool of Life Sciences University of Nottingham Nottingham UK.
Ann LoweSchool of Life Sciences University of Nottingham Nottingham UK.
Benoit PoulinSchool of Life Sciences University of Nottingham Nottingham UK.
Andrew D C MacCollSchool of Life Sciences University of Nottingham Nottingham UK.
Janette E BradleySchool of Life Sciences University of Nottingham Nottingham UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.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,

Indexed as

cytokinesecoimmunologygene expressionimmunityimmunologyqPCRRT‐qPCRwild immunology

Identifiers

PMID33391686
PMCPMC7771139

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.