Evidence map›Paper›PMID 32090487›Full record

ArticleMolecular systems biology2020

Organization at criticality enables processing of time-varying signals by receptor networks.

Angel Stanoev, Akhilesh P Nandan, Aneta Koseska

Abstract read
In one paragraph

Article in Molecular systems biology, 2020. 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
–field-weighted citation impact
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.

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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

3 authors.

Angel StanoevDepartment of Systemic Cell Biology, Max Planck Institute for Molecular Physiology, Dortmund, Germany.
Akhilesh P NandanDepartment of Systemic Cell Biology, Max Planck Institute for Molecular Physiology, Dortmund, Germany.
Aneta KoseskaDepartment of Systemic Cell Biology, Max Planck Institute for Molecular Physiology, Dortmund, Germany.ORCID 0000-0003-4263-2340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How cells utilize surface receptors for chemoreception is a recurrent question spanning between physics and biology over the past few decades. However, the dynamical mechanism for processing time-varying signals is still unclear. Using dynamical systems formalism to describe criticality in non-equilibrium systems, we propose generic principle for temporal information processing through phase space trajectories using dynamic transient memory. In contrast to short-term memory, dynamic memory generated via "ghost" attractor enables signal integration depending on stimulus history and thereby uniquely promotes integrating and interpreting complex temporal growth factor signals. We argue that this is a generic feature of receptor networks, the first layer of the cell that senses the changing environment. Using the experimentally established epidermal growth factor sensing system, we propose how recycling could provide self-organized maintenance of the critical receptor concentration at the plasma membrane through a simple, fluctuation-sensing mechanism. Processing of non-stationary signals, a feature previously attributed only to neural networks, thus uniquely emerges for receptor networks organized at criticality.

Indexed as

AnimalsCell MembraneEpidermal Growth FactorErbB ReceptorsHumansNeural Networks, ComputerSpatio-Temporal AnalysisSystems BiologyEpidermal Growth FactorErbB Receptorscriticalitysaddle-node bifurcationtransient memory

Identifiers

PMID32090487
PMCPMC7036718

What OpenQuestion holds

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Registered trials

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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.