Evidence map›Paper›PMID 26588454›Full record

ArticlePloS one2015

Parkinson's Protein α-Synuclein Binds Efficiently and with a Novel Conformation to Two Natural Membrane Mimics.

Pravin Kumar, Ine M J Segers-Nolten, Nathalie Schilderink, Vinod Subramaniam, Martina Huber

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Structural insights into α-synuclein monomer-fibril interactions.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  2. Article
  3. Article
  4. Article
  5. A Bayesian approach to quantifying uncertainty from experimental noise in DEER spectroscopy.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2016
    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.

Pravin KumarDepartment of Physics, Huygens-Kammerlingh-Onnes Laboratory, Leiden University, Leiden, The Netherlands.
Ine M J Segers-NoltenNanobiophysics, MESA+ Institute for Nanotechnology, University of Twente, Enschede, The Netherlands.
Nathalie SchilderinkNanobiophysics, MESA+ Institute for Nanotechnology, University of Twente, Enschede, The Netherlands.
Vinod SubramaniamNanobiophysics, MESA+ Institute for Nanotechnology, University of Twente, Enschede, The Netherlands.
Martina HuberDepartment of Physics, Huygens-Kammerlingh-Onnes Laboratory, Leiden University, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Binding of human α-Synuclein, a protein associated with Parkinson's disease, to natural membranes is thought to be crucial in relation to its pathological and physiological function. Here the binding of αS to small unilamellar vesicles mimicking the inner mitochondrial and the neuronal plasma membrane is studied in situ by continuous wave and pulsed electron paramagnetic resonance. Local binding information of αS spin labeled by MTSL at positions 56 and 69 respectively shows that also helix 2 (residues 50-100) binds firmly to both membranes. By double electron-electron resonance (DEER) on the mutant spin labeled at positions 27 and 56 (αS 27/56) a new conformation on the membrane is found with a distance of 3.6 nm/ 3.7 nm between residues 27 and 56. In view of the low negative charge density of these membranes, the strong interaction is surprising, emphasizing that function and pathology of αS could involve synaptic vesicles and mitochondria.

Indexed as

alpha-SynucleinCell MembraneHumansMitochondriaMitochondrial MembranesParkinson DiseaseProtein ConformationSynaptic VesiclesUnilamellar Liposomesalpha-SynucleinUnilamellar Liposomes

Identifiers

PMID26588454
PMCPMC4654490

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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.