Evidence map›Paper›PMID 32366957›Full record

ArticleScientific reports2020

Transcriptome-wide analysis reveals different categories of response to a standardised immune challenge in a wild rodent.

Klara M Wanelik, Mike Begon, Elena Arriero, Janette E Bradley, Ida M Friberg, Joseph A Jackson, Christopher H Taylor, Steve Paterson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

8 authors at 4 institutions in 2 countries.

Klara M WanelikInstitute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom. klara.wanelik@liverpool.ac.uk.ORCID http://orcid.org/0000-0003-1485-0340
Mike BegonInstitute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.ORCID http://orcid.org/0000-0003-1715-5327
Elena ArrieroSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID http://orcid.org/0000-0003-4230-6537
Janette E BradleySchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID http://orcid.org/0000-0003-3973-7977
Ida M FribergSchool of Environment and Life Sciences, University of Salford, Salford, United Kingdom.
Joseph A JacksonSchool of Environment and Life Sciences, University of Salford, Salford, United Kingdom.ORCID http://orcid.org/0000-0003-0330-5478
Christopher H TaylorSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID http://orcid.org/0000-0003-4299-7104
Steve PatersonInstitute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.ORCID http://orcid.org/0000-0002-1307-2981
University of Liverpool · GBUniversity of Nottingham · GBUniversity of Salford · GBUniversidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals vary in their immune response and, as a result, some are more susceptible to infectious disease than others. Little is known about the nature of this individual variation in natural populations, or which components of immune pathways are most responsible, but defining this underlying landscape of variation is an essential first step to understanding the drivers of this variation and, ultimately, predicting the outcome of infection. We describe transcriptome-wide variation in response to a standardised immune challenge in wild field voles. We find that genes (hereafter 'markers') can be categorised into a limited number of types. For the majority of markers, the response of an individual is dependent on its baseline expression level, with significant enrichment in this category for conventional immune pathways. Another, moderately sized, category contains markers for which the responses of different individuals are also variable but independent of their baseline expression levels. This category lacks any enrichment for conventional immune pathways. We further identify markers which display particularly high individual variability in response, and could be used as markers of immune response in larger studies. Our work shows how a standardised challenge performed on a natural population can reveal the patterns of natural variation in immune response.

Indexed as

Immune SystemTranscriptomeAnimalsArvicolinaeFemaleGene Expression ProfilingGene Expression RegulationGenetic MarkersImmunogeneticsMalePrognosisRegression AnalysisRNA-SeqSignal TransductionSpleenT-LymphocytesGenetic Markers

Identifiers

PMID32366957
PMCPMC7198573
OpenAlexW3022392031

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.