Evidence map›Paper›PMID 35505874›Full record

ArticleACS central science2022

Real-Time Fast Amyloid Seeding and Translocation of α-Synuclein with a Nanopipette.

Nathan Meyer, Jean-Marc Janot, Joan Torrent, Sébastien Balme

Open access · diamondAbstract read
In one paragraph

Article in ACS central science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  6. Detection of protein oligomers with nanopores.Nature reviews. Chemistry · 2025
    Review
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  8. Review
  9. Review
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  11. Secondary Nucleation of Aβ Revealed by Single-Molecule and Computational Approaches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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  13. Article
  14. Review
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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

4 authors at 2 institutions in 1 country.

Nathan MeyerInstitut Européen des Membranes, UMR5635 University of Montpellier ENCSM CNRS, Place Eugène Bataillon, 34095 Montpellier cedex 5, France.
Jean-Marc JanotInstitut Européen des Membranes, UMR5635 University of Montpellier ENCSM CNRS, Place Eugène Bataillon, 34095 Montpellier cedex 5, France.
Joan TorrentINM, University of Montpellier, INSERM, 34091 Montpellier, France.
Sébastien BalmeInstitut Européen des Membranes, UMR5635 University of Montpellier ENCSM CNRS, Place Eugène Bataillon, 34095 Montpellier cedex 5, France.ORCID https://orcid.org/0000-0003-0779-3384
Centre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection to α-synuclein (αS) assemblies as a biomarker of synucleinopathies is an important challenge for further development of an early diagnosis tool. Here, we present proof of concept real-time fast amyloid seeding and translocation (RT-FAST) based on a nanopipette that combines in one unique system a reaction vessel to accelerate the seed amplification and nanopore sensor for single-molecule αS assembly detection. RT-FAST allows the detection of the presence αS seeds WT and A53T variant in a given sample in only 90 min by adding a low quantity (35 μL at 100 nM) of recombinant αS for amplification. It also shows cross-seeding aggregation by adding mixing seeds A53T with WT monomers. Finally, we establish the dependence between the capture rate of aggregates by the nanopore sensor and the initial seed concentration from 200 pM to 2 pM, which promises further development toward a quantitative analysis of the initial seed concentration.

Identifiers

PMID35505874
PMCPMC9052795
OpenAlexW4220968240

What OpenQuestion holds

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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.