Evidence map›Paper›PMID 29630597›Full record

ArticlePLoS computational biology2018

Spatial modeling of the membrane-cytosolic interface in protein kinase signal transduction.

Wolfgang Giese, Gregor Milicic, Andreas Schröder, Edda Klipp

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Wolfgang GieseMathematical Cell Physiology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.ORCID 0000-0003-0872-0929
Gregor MilicicDepartment of Mathematics, University of Salzburg, Salzburg, Austria.ORCID 0000-0003-3495-0787
Andreas SchröderDepartment of Mathematics, University of Salzburg, Salzburg, Austria.
Edda KlippTheoretische Biophysik, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-0567-7075
University of Salzburg · ATHumboldt-Universität zu Berlin · DEMax Delbrück Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial architecture of signaling pathways and the interaction with cell size and morphology are complex, but little understood. With the advances of single cell imaging and single cell biology, it becomes crucial to understand intracellular processes in time and space. Activation of cell surface receptors often triggers a signaling cascade including the activation of membrane-attached and cytosolic signaling components, which eventually transmit the signal to the cell nucleus. Signaling proteins can form steep gradients in the cytosol, which cause strong cell size dependence. We show that the kinetics at the membrane-cytosolic interface and the ratio of cell membrane area to the enclosed cytosolic volume change the behavior of signaling cascades significantly. We suggest an estimate of average concentration for arbitrary cell shapes depending on the cell volume and cell surface area. The normalized variance, known from image analysis, is suggested as an alternative measure to quantify the deviation from the average concentration. A mathematical analysis of signal transduction in time and space is presented, providing analytical solutions for different spatial arrangements of linear signaling cascades. Quantification of signaling time scales reveals that signal propagation is faster at the membrane than at the nucleus, while this time difference decreases with the number of signaling components in the cytosol. Our investigations are complemented by numerical simulations of non-linear cascades with feedback and asymmetric cell shapes. We conclude that intracellular signal propagation is highly dependent on cell geometry and, thereby, conveys information on cell size and shape to the nucleus.

Indexed as

Models, BiologicalBiological Transport, ActiveCell MembraneCell NucleusCell ShapeCell SizeComputational BiologyComputer SimulationCytosolFeedback, PhysiologicalFinite Element AnalysisKineticsNonlinear DynamicsProtein KinasesReceptors, Cell SurfaceSignal TransductionProtein KinasesReceptors, Cell Surface

Identifiers

PMID29630597
PMCPMC5908195
OpenAlexW2950465077

What OpenQuestion holds

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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.