Evidence map›Paper›PMID 30872688›Full record

ArticleScientific reports2019

Probing Membrane Association of α-Synuclein Domains with VDAC Nanopore Reveals Unexpected Binding Pattern.

Daniel Jacobs, David P Hoogerheide, Amandine Rovini, Zhiping Jiang, Jennifer C Lee, Tatiana K Rostovtseva, Sergey M Bezrukov

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Review
  6. Article
  7. Mitochondrial dysfunction: mechanisms and advances in therapy.Signal transduction and targeted therapy · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Neurons and Glia Interplay in α-Synucleinopathies.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Article
  19. Review
  20. 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

7 authors.

Daniel JacobsSection on Molecular Transport, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA.
David P HoogerheideCenter for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Amandine RoviniSection on Molecular Transport, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID 0000-0003-0483-9092
Zhiping JiangLaboratory of Protein Conformation and Dynamics, Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Jennifer C LeeLaboratory of Protein Conformation and Dynamics, Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID 0000-0003-0506-8349
Tatiana K RostovtsevaSection on Molecular Transport, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA. rostovtt@mail.nih.gov.
Sergey M BezrukovSection on Molecular Transport, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA.

Funding

Biophysics of Large Membrane ChannelsZIAHD000072 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI BEZRUKOV, SERGEY M · 2009 to 2025
$22.8M
Protein Misfolding and AggregationZIAHL001055 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEE, JENNIFER · 2009 to 2025
$16.9M
U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) ZIA HD000072-06-09
6 · The paper itself

Abstract

It is well established that α-synuclein (α-syn) binding from solution to the surface of membranes composed of negatively charged and/or non-lamellar lipids can be characterized by equilibrium dissociation constants of tens of micromolar. Previously, we have found that a naturally occurring nanopore of the mitochondrial voltage-dependent anion channel (VDAC), reconstituted into planar bilayers of a plant-derived lipid, responds to α-syn at nanomolar solution concentrations. Here, using lipid mixtures that mimic the composition of mitochondrial outer membranes, we show that functionally important binding does indeed take place in the nanomolar range. We demonstrate that the voltage-dependent rate at which a membrane-embedded VDAC nanopore captures α-syn is a strong function of membrane composition. Comparison of the nanopore results with those obtained by the bilayer overtone analysis of membrane binding demonstrates a pronounced correlation between the two datasets. The stronger the binding, the larger the on-rate, but with some notable exceptions. This leads to a tentative model of α-syn-membrane interactions, which assigns different lipid-dependent roles to the N- and C-terminal domains of α-syn accounting for both electrostatic and hydrophobic effects. As a result, the rate of α-syn capture by the nanopore is not simply proportional to the α-syn concentration on the membrane surface but found to be sensitive to the specific interactions of each domain with the membrane and nanopore.

Indexed as

Protein Interaction Domains and MotifsAlgorithmsalpha-SynucleinAnimalsCell MembraneLipid BilayersMembrane LipidsMiceMitochondrial MembranesModels, BiologicalNanoporesProtein BindingVoltage-Dependent Anion Channelsalpha-SynucleinLipid BilayersMembrane LipidsVoltage-Dependent Anion Channels

Identifiers

PMID30872688
PMCPMC6418135

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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.