Evidence map›Paper›PMID 35053388›Full record

ArticleCells2022

Signal Amplification in Highly Ordered Networks Is Driven by Geometry.

Éva S Vanamee, Gábor Lippner, Denise L Faustman

Abstract read
In one paragraph

Article in Cells, 2022. 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.

  1. Targeting Supramolecular Active Complexes of NaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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.

Éva S VanameeImmunobiology Department, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA.ORCID 0000-0001-6445-4595
Gábor LippnerDepartment of Mathematics, Northeastern University, Boston, MA 02115, USA.
Denise L FaustmanImmunobiology Department, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA.ORCID 0000-0002-0871-4812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we hypothesize that, in biological systems such as cell surface receptors that relay external signals, clustering leads to substantial improvements in signaling efficiency. Representing cooperative signaling networks as planar graphs and applying Euler's polyhedron formula, we can show that clustering may result in an up to a 200% boost in signaling amplitude dictated solely by the size and geometry of the network. This is a fundamental relationship that applies to all clustered systems regardless of its components. Nature has figured out a way to maximize the signaling amplitude in receptors that relay weak external signals. In addition, in cell-to-cell interactions, clustering both receptors and ligands may result in maximum efficiency and synchronization. The importance of clustering geometry in signaling efficiency goes beyond biological systems and can inform the design of amplifiers in nonbiological systems.

Indexed as

Gene Regulatory NetworksSignal TransductionAnimalsCluster AnalysisHumansEuler polyhedron formulahexagonal clusteringTNF superfamily signaling

Identifiers

PMID35053388
PMCPMC8773832

What OpenQuestion holds

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LicenceCC BY
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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.