Membrane-Associated Self-Assembly for Cellular Decision Making.

Samuel L Foley, Margaret E Johnson

Abstract readPreprint

In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Samuel L FoleyT. C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.

Margaret E JohnsonT. C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

Mechanisms of Protein Self-Assembly Coupled to Membrane Mechanics in the Cell.R35GM133644 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, MARGARET ELLEN · 2019 to 2023

$2.0M

NIGMS NIH HHS R35 GM133644

6 · The paper itself

Abstract

Cellular decision-making based on information received from the external environment is frequently initiated by transmembrane receptors. These receptors are known to propagate such information by triggering a series of irreversible, energy-consuming reactions. While this active mechanism ensures switch-like responses, here we show how spontaneous molecular self-assembly on a two-dimensional substrate can similarly act as a tunable and robust switch for detecting receptors at physiological concentrations. This mechanism is much more sensitive than other passive mechanisms for receptor detection. We derive analytical expressions for critical receptor densities that switch on nucleation and growth of assemblies, in close agreement with equilibrium stochastic reaction-diffusion simulations. The theory developed provides testable predictions for how each component controls decision thresholds and magnitude of response.

Identifiers

PMID40470480

PMCPMC12136478

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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.