Evidence map›Paper›PMID 29264483›Full record

ArticleJournal of the Endocrine Society2017

Information Transfer via Gonadotropin-Releasing Hormone Receptors to ERK and NFAT: Sensing GnRH and Sensing Dynamics.

Kathryn L Garner, Margaritis Voliotis, Hussah Alobaid, Rebecca M Perrett, Thanh Pham, Krasimira Tsaneva-Atanasova, Craig A McArdle

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mathematical models in GnRH research.Journal of neuroendocrinology · 2022
    Review
  5. Article
  6. Article
  7. GnRH-A Key Regulator of FSH.Endocrinology · 2019
    Review
  8. 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

7 authors at 3 institutions in 2 countries.

Kathryn L GarnerLaboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol BS1 3NY, United Kingdom.
Margaritis VoliotisEPSRC Centre for Predictive Modelling in Healthcare, and.
Hussah AlobaidLaboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol BS1 3NY, United Kingdom.
Rebecca M PerrettLaboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol BS1 3NY, United Kingdom.
Thanh PhamTexas A&M University Corpus Christi, Corpus Christi, Texas 78412.
Krasimira Tsaneva-AtanasovaEPSRC Centre for Predictive Modelling in Healthcare, and.
Craig A McArdleLaboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol BS1 3NY, United Kingdom.
University of Bristol · GBEngineering and Physical Sciences Research Council · GBTexas A&M University – Corpus Christi · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information theoretic approaches can be used to quantify information transfer via cell signaling networks. In this study, we do so for gonadotropin-releasing hormone (GnRH) activation of extracellular signal-regulated kinase (ERK) and nuclear factor of activated T cells (NFAT) in large numbers of individual fixed L

Indexed as

extracellular signal-regulated kinasegonadotropin-releasing hormoneG protein coupled receptormathematical modelingmitogen-activated protein kinasenuclear factor of activated T cells

Identifiers

PMID29264483
PMCPMC5686700
OpenAlexW2606904509

What Socratic 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 Socratic graph.