Evidence map›Paper›PMID 28747473›Full record

ArticleProceedings. Biological sciences2017

Dissecting the contributions of time and microbe density to variation in immune gene expression.

Ann T Tate, Andrea L Graham

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Pathogen growth and virulence dynamics drive the host evolution against coinfections.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
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  9. Article
  10. Experimental evolution of immunological specificity.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Article
  12. Article
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  14. Article
  15. Cu,Zn Superoxide Dismutase Genes inFrontiers in immunology · 2017
    Article
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

2 authors at 2 institutions in 1 country.

Ann T TateDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, USA a.tate@vanderbilt.edu.ORCID http://orcid.org/0000-0001-6601-0234
Andrea L GrahamDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Princeton University · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widespread differential expression of immunological genes is a hallmark of the response to infection in almost all surveyed taxa. However, several challenges remain in the attempt to connect differences in gene expression with functional outcomes like parasite killing and host survival. For example, temporal gene expression patterns are not always monotonic (unidirectional slope), yielding results that qualitatively depend on the time point selected for analysis. They may also be correlated to microbe density, confounding the strength of an immune response and resistance to parasites. In this study, we analyse these relationships in an mRNA-seq time series of

Indexed as

Bacterial LoadAnimalsBacillus thuringiensisCross-Sectional StudiesGene Expression RegulationSignal TransductionTime FactorsTriboliumdisease ecologyecological immunologygene expressionhost–pathogen interactionsnonlinear dynamicsTribolium castaneum

Identifiers

PMID28747473
PMCPMC5543217
OpenAlexW2739247849

What OpenQuestion holds

Textmetadata
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.