Evidence map›Paper›PMID 28931892›Full record

ArticleScientific reports2017

New views on phototransduction from atomic force microscopy and single molecule force spectroscopy on native rods.

Sourav Maity, Nina Ilieva, Alessandro Laio, Vincent Torre, Monica Mazzolini

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

5 authors at 1 institution in 1 country.

Sourav MaityInternational School for Advanced Studies (SISSA-ISAS) via Bonomea 265, 34136, Trieste, Italy.
Nina IlievaInternational School for Advanced Studies (SISSA-ISAS) via Bonomea 265, 34136, Trieste, Italy.
Alessandro LaioInternational School for Advanced Studies (SISSA-ISAS) via Bonomea 265, 34136, Trieste, Italy.
Vincent TorreInternational School for Advanced Studies (SISSA-ISAS) via Bonomea 265, 34136, Trieste, Italy. torre@sissa.it.
Monica MazzoliniInternational School for Advanced Studies (SISSA-ISAS) via Bonomea 265, 34136, Trieste, Italy. mazzolin@sissa.it.
Scuola Internazionale Superiore di Studi Avanzati · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By combining atomic force microscopy (AFM) imaging and single-molecule force spectroscopy (SMFS), we analyzed membrane proteins of the rod outer segments (OS). With this combined approach we were able to study the membrane proteins in their natural environment. In the plasma membrane we identified native cyclic nucleotide-gated (CNG) channels which are organized in single file strings. We also identified rhodopsin located both in the discs and in the plasma membrane. SMFS reveals strikingly different mechanical properties of rhodopsin unfolding in the two environments. Molecular dynamic simulations suggest that this difference is likely to be related to the higher hydrophobicity of the plasma membrane, due to the higher cholesterol concentration. This increases rhodopsin mechanical stability lowering the rate of transition towards its active form, hindering, in this manner, phototransduction.

Indexed as

AlgorithmsAnimalsCell MembraneLight Signal TransductionMaleMechanical PhenomenaMembrane ProteinsMicroscopy, Atomic ForceMolecular Dynamics SimulationRhodopsinRod Cell Outer SegmentSingle Molecule ImagingXenopus laevisXenopus ProteinsMembrane ProteinsRhodopsinXenopus Proteins

Identifiers

PMID28931892
PMCPMC5607320
OpenAlexW2756184864

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.