Evidence map›Paper›PMID 36310214›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

α-Synuclein Fibril, Ribbon and Fibril-91 Amyloid Polymorphs Generation for Structural Studies.

Luc Bousset, Ania Alik, Ana Arteni, Anja Böckmann, Beat H Meier, Ronald Melki

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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
3.7field-weighted citation impact, top 6% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 4 institutions in 2 countries.

Luc BoussetUniversité Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France. luc.bousset@cnrs.fr.
Ania AlikUniversité Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France.
Ana ArteniInstitut de Biologie Intégrative de la Cellule (I2BC), CEA, CNRS, Université Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France.
Anja BöckmannMolecular Microbiology and Structural Biochemistry, Labex Ecofect, UMR 5086 CNRS, Université de Lyon, Lyon, France.
Beat H MeierPhysical Chemistry, ETH Zürich, Zürich, Switzerland.
Ronald MelkiUniversité Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France.
Centre National de la Recherche Scientifique · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRETH Zurich · CHInstitut de Biologie Intégrative de la Cellule · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human α-synuclein protein, identified as one of the main markers of Parkinson's disease, is a 140-amino acid thermostable protein that can easily be overexpressed in E. coli. The purification protocol determines the ability of the protein to assemble into amyloid fibrils of well-defined structures. Here, we describe the purification and assembly protocols to obtain three well-characterized amyloid forms (ribbon, fibrils, and fibril-91) used to assess their activity in biochemical and cellular assays or to investigate their atomic structure by cryo-electron microscopy and solid-state NMR.

Indexed as

AmyloidosisParkinson Diseasealpha-SynucleinAmyloidAmyloidogenic ProteinsCryoelectron MicroscopyEscherichia coliHumansalpha-SynucleinAmyloidAmyloidogenic ProteinsAmyloidChromatographyCryo-electron microscopyPurificationSolid-state NMRStructureα-Synuclein

Identifiers

PMID36310214
OpenAlexW4307643253

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.