Evidence map›Paper›PMID 26840721›Full record

ArticleBiophysical journal2016

Automated Ex Situ Assays of Amyloid Formation on a Microfluidic Platform.

Kadi-Liis Saar, Emma V Yates, Thomas Müller, Séverine Saunier, Christopher M Dobson, Tuomas P J Knowles

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

6 authors.

Kadi-Liis SaarDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Emma V YatesDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Thomas MüllerDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Séverine SaunierDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Christopher M DobsonDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Tuomas P J KnowlesDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom. Electronic address: tpjk2@cam.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Increasingly prevalent neurodegenerative diseases are associated with the formation of nanoscale amyloid aggregates from normally soluble peptides and proteins. A widely used strategy for following the aggregation process and defining its kinetics involves the use of extrinsic dyes that undergo a spectral shift when bound to β-sheet-rich aggregates. An attractive route to carry out such studies is to perform ex situ assays, where the dye molecules are not present in the reaction mixture, but instead are only introduced into aliquots taken from the reaction at regular time intervals to avoid the possibility that the dye molecules interfere with the aggregation process. However, such ex situ measurements are time-consuming to perform, require large sample volumes, and do not provide for real-time observation of aggregation phenomena. To overcome these limitations, here we have designed and fabricated microfluidic devices that offer continuous and automated real-time ex situ tracking of the protein aggregation process. This device allows us to improve the time resolution of ex situ aggregation assays relative to conventional assays by more than one order of magnitude. The availability of an automated system for tracking the progress of protein aggregation reactions without the presence of marker molecules in the reaction mixtures opens up the possibility of routine noninvasive study of protein aggregation phenomena.

Indexed as

AmyloidAutomation, LaboratoryMicrofluidicsProtein FoldingAmyloid

Identifiers

PMID26840721
PMCPMC4744157

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Registered trials

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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.