Evidence map›Paper›PMID 30059210›Full record

ArticleAnalytical chemistry2018

Extrinsic Amyloid-Binding Dyes for Detection of Individual Protein Aggregates in Solution.

Christopher G Taylor, Georg Meisl, Mathew H Horrocks, Henrik Zetterberg, Tuomas P J Knowles, David Klenerman

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Single-Molecule Two-Color Coincidence Detection of Unlabeled alpha-Synuclein Aggregates.Angewandte Chemie (Weinheim an der Bergstrasse, Germany) · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Article
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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

6 authors.

Christopher G TaylorDepartment of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , United Kingdom.ORCID 0000-0001-8449-8704
Georg MeislDepartment of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , United Kingdom.ORCID 0000-0002-6562-7715
Mathew H HorrocksEaStCHEM School of Chemistry , University of Edinburgh , David Brewster Road , Edinburgh EH9 3FJ , United Kingdom.
Henrik ZetterbergClinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy , University of Gothenburg , Mölndal 413 45 , Sweden.
Tuomas P J KnowlesDepartment of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , United Kingdom.ORCID 0000-0002-7879-0140
David KlenermanDepartment of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , United Kingdom.

Funding

European Research Council 337969European Research Council 681712Medical Research Council MC_G1000734Wellcome Trust
6 · The paper itself

Abstract

Protein aggregation is a key molecular feature underlying a wide array of neurodegenerative disorders, including Alzheimer's and Parkinson's diseases. To understand protein aggregation in molecular detail, it is crucial to be able to characterize the array of heterogeneous aggregates that are formed during the aggregation process. We present here a high-throughput method to detect single protein aggregates, in solution, from a label-free aggregation reaction, and we demonstrate the approach with the protein associated with Parkinson's disease, α-synuclein. The method combines single-molecule confocal microscopy with a range of amyloid-binding extrinsic dyes, including thioflavin T and pentameric formylthiophene acetic acid, and we show that we can observe aggregates at low picomolar concentrations. The detection of individual aggregates allows us to quantify their numbers. Furthermore, we show that this approach also allows us to gain structural insights from the emission intensity of the extrinsic dyes that are bound to aggregates. By analyzing the time evolution of the aggregate populations on a single-molecule level, we then estimate the fragmentation rate of aggregates, a key process that underlies the multiplication of pathological aggregates. We additionally demonstrate that the method permits the detection of these aggregates in biological samples. The capability to detect individual protein aggregates in solution opens up a range of new applications, including exploiting the potential of this method for high-throughput screening of human biofluids for disease diagnosis and early detection.

Identifiers

PMID30059210
PMCPMC6127805

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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.