Evidence map›Paper›PMID 36706024›Full record

ArticleNano letters2023

Cholesterol-Induced Nanoscale Variations in the Thickness of Phospholipid Membranes.

Tao Chen, Arindam Ghosh, Jörg Enderlein

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Article in Nano letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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.

Tao ChenThird Institute of Physics - Biophysics, Georg August University, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany.
Arindam GhoshThird Institute of Physics - Biophysics, Georg August University, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany.ORCID 0000-0002-5712-1271
Jörg EnderleinThird Institute of Physics - Biophysics, Georg August University, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany.ORCID 0000-0001-5091-7157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene-induced energy transfer (GIET) is a recently developed fluorescence-spectroscopic technique that achieves subnanometric optical localization of fluorophores along the optical axis of a microscope. GIET is based on the near-field energy transfer from an optically excited fluorescent molecule to a single sheet of graphene. It has been successfully used for estimating interleaflet distances of single lipid bilayers and for investigating the membrane organization of living mitochondria. In this study, we use GIET to measure the cholesterol-induced subtle changes of membrane thickness at the nanoscale. We quantify membrane thickness variations in supported lipid bilayers (SLBs) as a function of lipid composition and increasing cholesterol content. Our findings demonstrate that GIET is an extremely sensitive tool for investigating nanometric structural changes in biomembranes.

Indexed as

GraphitePhospholipidsCholesterolLipid BilayersMembranesCholesterolGraphiteLipid BilayersPhospholipidscondensing effectfluorescence lifetimegraphene-induced energy transfersubnanometric localizationthinning effect

Identifiers

PMID36706024
PMCPMC10037415

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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.