Evidence map›Paper›PMID 39511199›Full record

ArticleNature communications2024

Mapping membrane biophysical nano-environments.

Luca Panconi, Jonas Euchner, Stanimir A Tashev, Maria Makarova, Dirk-Peter Herten, Dylan M Owen, Daniel J Nieves

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Advanced optical microscopy methods forBiophysical reviews · 2025
    Review
  8. Article
  9. Review
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

7 authors.

Luca Panconi *Department of Immunology and Immunotherapy, School of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID 0000-0001-6025-8597
Jonas Euchner *Centre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK.ORCID 0009-0007-4678-1841
Stanimir A TashevCentre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK.
Maria MakarovaCentre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK.
Dirk-Peter HertenCentre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK.ORCID 0000-0002-3884-0262
Dylan M OwenDepartment of Immunology and Immunotherapy, School of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID 0000-0002-5284-2782
Daniel J NievesDepartment of Immunology and Immunotherapy, School of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham, Birmingham, UK. d.j.nieves@bham.ac.uk.ORCID 0000-0002-0873-4418

Funding

Academy of Medical Sciences APR2\1013RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/S02297X/1
6 · The paper itself

Abstract

The mammalian plasma membrane is known to contain domains with varying lipid composition and biophysical properties. However, studying these membrane lipid domains presents challenges due to their predicted morphological similarity to the bulk membrane and their scale being below the classical resolution limit of optical microscopy. To address this, we combine the solvatochromic probe di-4-ANEPPDHQ, which reports on its biophysical environment through changes in its fluorescence emission, with spectrally resolved single-molecule localisation microscopy. The resulting data comprises nanometre-precision localisation coordinates and a generalised polarisation value related to the probe's environment - a marked point pattern. We introduce quantification algorithms based on topological data analysis (PLASMA) to detect and map nano-domains in this marked data, demonstrating their effectiveness in both artificial membranes and live cells. By leveraging environmentally sensitive fluorophores, multi-modal single molecule localisation microscopy, and advanced analysis methods, we achieve nanometre scale mapping of membrane properties and assess changes in response to external perturbation with methyl-β-cyclodextrin. This integrated methodology represents an integrated toolset for investigating marked point pattern data at nanometre spatial scales.

Indexed as

Cell MembraneFluorescent DyesAlgorithmsAnimalsbeta-CyclodextrinsHumansMembrane LipidsMembrane MicrodomainsMicroscopy, FluorescencePyridinium CompoundsSingle Molecule Imagingbeta-Cyclodextrinsdi-4-ANEPPDHQFluorescent DyesMembrane Lipidsmethyl-beta-cyclodextrinPyridinium Compounds

Identifiers

PMID39511199
PMCPMC11544141

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.