Evidence map›Paper›PMID 21920041›Full record

ArticleBMC systems biology2011

Computational modelling elucidates the mechanism of ciliary regulation in health and disease.

Nikolay V Kotov, Declan G Bates, Antonina N Gizatullina, Bulat Gilaziev, Rustem N Khairullin, Michael Z Q Chen, Ignat Drozdov, Yoshinori Umezawa, Christian Hundhausen, Alexey Aleksandrov and 4 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Seeing cilia: imaging modalities for ciliary motion and clinical connections.American journal of physiology. Lung cellular and molecular physiology · 2018
    Review
  3. Article
  4. 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

14 authors at 6 institutions in 5 countries.

Nikolay V KotovCentre for Molecular Processing, School of Biosciences, University of Kent, Canterbury, Kent, UK.
Declan G Bates
Antonina N Gizatullina
Bulat Gilaziev
Rustem N Khairullin
Michael Z Q Chen
Ignat Drozdov
Yoshinori Umezawa
Christian Hundhausen
Alexey Aleksandrov
Xing-gang Yan
Sarah K Spurgeon
C Mark Smales
Najl V Valeyev
University of Kent · GBKazan Institute of Biochemistry and Biophysics · RUHong Kong Polytechnic University · HKKing's College Hospital · GBKing's College London · GBState Autonomous Institution of Health Interregional Clinical Diagnostic Center · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCiliary dysfunction leads to a number of human pathologies, including primary ciliary dyskinesia, nephronophthisis, situs inversus pathology or infertility. The mechanism of cilia beating regulation is complex and despite extensive experimental characterization remains poorly understood. We develop a detailed systems model for calcium, membrane potential and cyclic nucleotide-dependent ciliary motility regulation.

resultsThe model describes the intimate relationship between calcium and potassium ionic concentrations inside and outside of cilia with membrane voltage and, for the first time, describes a novel type of ciliary excitability which plays the major role in ciliary movement regulation. Our model describes a mechanism that allows ciliary excitation to be robust over a wide physiological range of extracellular ionic concentrations. The model predicts the existence of several dynamic modes of ciliary regulation, such as the generation of intraciliary Ca2+ spike with amplitude proportional to the degree of membrane depolarization, the ability to maintain stable oscillations, monostable multivibrator regimes, all of which are initiated by variability in ionic concentrations that translate into altered membrane voltage.

conclusionsComputational investigation of the model offers several new insights into the underlying molecular mechanisms of ciliary pathologies. According to our analysis, the reported dynamic regulatory modes can be a physiological reaction to alterations in the extracellular environment. However, modification of the dynamic modes, as a result of genetic mutations or environmental conditions, can cause a life threatening pathology.

Indexed as

Models, BiologicalCalcium ChannelsCalcium SignalingCiliaDiseaseMembrane PotentialsPatch-Clamp TechniquesPotassiumSystems BiologyCalcium ChannelsPotassium

Identifiers

PMID21920041
PMCPMC3224258
OpenAlexW2156316249

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.