Evidence map›Paper›PMID 33864789›Full record

ArticleBiophysical journal2021

Determination of the size of lipid rafts studied through single-molecule FRET simulations.

Pablo Luis Hernández-Adame, Ulises Meza, Aldo A Rodríguez-Menchaca, Sergio Sánchez-Armass, Jaime Ruiz-García, Eduardo Gomez

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

6 authors at 2 institutions in 1 country.

Pablo Luis Hernández-AdameBiological Physics Laboratory, Physics Institute, San Luis Potosí, Mexico.
Ulises MezaDepartment of Physiology and Biophysics, School of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico.
Aldo A Rodríguez-MenchacaDepartment of Physiology and Biophysics, School of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico.
Sergio Sánchez-ArmassDepartment of Physiology and Biophysics, School of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico.
Jaime Ruiz-GarcíaBiological Physics Laboratory, Physics Institute, San Luis Potosí, Mexico. Electronic address: jaime@ifisica.uaslp.mx.
Eduardo GomezBiological Physics Laboratory, Physics Institute, San Luis Potosí, Mexico. Electronic address: egomez@ifisica.uaslp.mx.
Autonomous University of San Luis Potosí · MXPolytechnic University of San Luis Potosí · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence resonance energy transfer (FRET) is a high-resolution technique that allows the characterization of spatial and temporal properties of biological structures and mechanisms. In this work, we developed an in silico single-molecule FRET methodology to study the dynamics of fluorophores inside lipid rafts. We monitored the fluorescence of a single acceptor molecule in the presence of several donor molecules. By looking at the average fluorescence, we selected events with single acceptor and donor molecules, and we used them to determine the raft size in the range of 5-16 nm. We conclude that our method is robust and insensitive to variations in the diffusion coefficient, donor density, or selected fluorescence threshold.

Indexed as

Fluorescence Resonance Energy TransferFluorescent DyesComputer SimulationMembrane MicrodomainsNanotechnologyFluorescent Dyes

Identifiers

PMID33864789
PMCPMC8390827
OpenAlexW3153875728

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.