Evidence map›Paper›PMID 26644469›Full record

ArticleThe Journal of biological chemistry2016

Information Transfer in Gonadotropin-releasing Hormone (GnRH) Signaling: EXTRACELLULAR SIGNAL-REGULATED KINASE (ERK)-MEDIATED FEEDBACK LOOPS CONTROL HORMONE SENSING.

Kathryn L Garner, Rebecca M Perrett, Margaritis Voliotis, Clive Bowsher, George R Pope, Thanh Pham, Christopher J Caunt, Krasimira Tsaneva-Atanasova, Craig A McArdle

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2016. 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
6.7field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Mathematical models in GnRH research.Journal of neuroendocrinology · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Mathematical modeling of gonadotropin-releasing hormone signaling.Molecular and cellular endocrinology · 2017
    Review
  12. Article
  13. Article
  14. 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

9 authors at 4 institutions in 2 countries.

Kathryn L GarnerFrom the Laboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol, BS1 3NY, United Kingdom.
Rebecca M PerrettFrom the Laboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol, BS1 3NY, United Kingdom.
Margaritis VoliotisSchool of Mathematics, University of Bristol, Bristol, BS8 1TW, United Kingdom.
Clive BowsherSchool of Mathematics, University of Bristol, Bristol, BS8 1TW, United Kingdom.
George R PopeFrom the Laboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol, BS1 3NY, United Kingdom.
Thanh PhamTexas A and M University Corpus Christi, Corpus Christi, Texas 78412.
Christopher J CauntDepartment of Biology and Biochemistry, University of Bath, Bath, BA2 7AY, United Kingdom, and.
Krasimira Tsaneva-AtanasovaDepartment of Mathematics, College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, United Kingdom.
Craig A McArdleFrom the Laboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, University of Bristol, Bristol, BS1 3NY, United Kingdom, craig.mcardle@bristol.ac.uk.
University of Bristol · GBTexas A&M University – Corpus Christi · USUniversity of Bath · GBUniversity of Exeter · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J014699/1Medical Research Council MR/K021826/1
6 · The paper itself

Abstract

Cell signaling pathways are noisy communication channels, and statistical measures derived from information theory can be used to quantify the information they transfer. Here we use single cell signaling measures to calculate mutual information as a measure of information transfer via gonadotropin-releasing hormone (GnRH) receptors (GnRHR) to extracellular signal-regulated kinase (ERK) or nuclear factor of activated T-cells (NFAT). This revealed mutual information values <1 bit, implying that individual GnRH-responsive cells cannot unambiguously differentiate even two equally probable input concentrations. Addressing possible mechanisms for mitigation of information loss, we focused on the ERK pathway and developed a stochastic activation model incorporating negative feedback and constitutive activity. Model simulations revealed interplay between fast (min) and slow (min-h) negative feedback loops with maximal information transfer at intermediate feedback levels. Consistent with this, experiments revealed that reducing negative feedback (by expressing catalytically inactive ERK2) and increasing negative feedback (by Egr1-driven expression of dual-specificity phosphatase 5 (DUSP5)) both reduced information transfer from GnRHR to ERK. It was also reduced by blocking protein synthesis (to prevent GnRH from increasing DUSP expression) but did not differ for different GnRHRs that do or do not undergo rapid homologous desensitization. Thus, the first statistical measures of information transfer via these receptors reveals that individual cells are unreliable sensors of GnRH concentration and that this reliability is maximal at intermediate levels of ERK-mediated negative feedback but is not influenced by receptor desensitization.

Indexed as

Feedback, PhysiologicalGene Expression Regulation, EnzymologicCatalysisComputer SimulationCycloheximideDual-Specificity PhosphatasesGonadotropin-Releasing HormoneHeLa CellsHumansMitogen-Activated Protein Kinase 3Models, TheoreticalNFATC Transcription FactorsProtein Synthesis InhibitorsReceptors, LHRHSignal TransductionStochastic ProcessesCycloheximideDual-Specificity PhosphatasesDUSP5 protein, humanGonadotropin-Releasing HormoneMitogen-Activated Protein Kinase 3NFATC Transcription FactorsProtein Synthesis InhibitorsReceptors, LHRHcell signalingextracellular signal-regulated kinase (ERK)gonadotropin-releasing hormoneG protein-coupled receptor (GPCR)mathematical modelingmitogen-activated protein kinase (MAPK)mutual informationsignal transduction

Identifiers

PMID26644469
PMCPMC4732208
OpenAlexW2189997014

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.