Evidence map›Paper›PMID 26656088›Full record

ArticleNature chemical biology2016

An in vivo platform for identifying inhibitors of protein aggregation.

Janet C Saunders, Lydia M Young, Rachel A Mahood, Matthew P Jackson, Charlotte H Revill, Richard J Foster, D Alastair Smith, Alison E Ashcroft, David J Brockwell, Sheena E Radford

Open access · bronzeAbstract read
In one paragraph

Article in Nature chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Employing deep mutational scanning in theProceedings of the National Academy of Sciences of the United States of America · 2025
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  8. Review
  9. Article
  10. Article
  11. Article
  12. The effect of mutation on an aggregation-prone protein: An in vivo, in vitro, and in silico analysis.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. An enzyme-based biosensor for monitoring and engineering protein stability in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Detecting protein-protein interactions by Xe-129 NMR.Chemical communications (Cambridge, England) · 2020
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Janet C Saunders *Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
Lydia M Young *Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
Rachel A MahoodAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
Matthew P JacksonAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
Charlotte H RevillAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
Richard J FosterAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
D Alastair SmithAvacta Analytical plc, Wetherby, LS23 7FZ, UK.
Alison E AshcroftAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
David J BrockwellAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
Sheena E RadfordAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.
University of Leeds · GBInstitute of Structural and Molecular Biology · GBAvacta (United Kingdom) · GB

Funding

Biotechnology and Biological Sciences Research Council 9912375Biotechnology and Biological Sciences Research Council B04804Biotechnology and Biological Sciences Research Council B08151Biotechnology and Biological Sciences Research Council B11014Biotechnology and Biological Sciences Research Council B13374Biotechnology and Biological Sciences Research Council B14774Biotechnology and Biological Sciences Research Council B16549Biotechnology and Biological Sciences Research Council B17145Biotechnology and Biological Sciences Research Council B18705Biotechnology and Biological Sciences Research Council BB/C507029/1Biotechnology and Biological Sciences Research Council BB/E012558/1Biotechnology and Biological Sciences Research Council BB/F012284/1Biotechnology and Biological Sciences Research Council BB/F01614X/1Biotechnology and Biological Sciences Research Council BB/G019452/1Biotechnology and Biological Sciences Research Council BB/H014713/1Biotechnology and Biological Sciences Research Council BB/I015361/1Biotechnology and Biological Sciences Research Council BB/M01259X/1Biotechnology and Biological Sciences Research Council BBS/B/04803Biotechnology and Biological Sciences Research Council JRE10782Biotechnology and Biological Sciences Research Council SBD07536Biotechnology and Biological Sciences Research Council SF16972Diabetes UK 08/0003679European Research Council 322408Wellcome Trust 062383Wellcome Trust 075675Wellcome Trust 080859Wellcome Trust 088563Wellcome Trust 092896Wellcome Trust 104920
6 · The paper itself

Abstract

Protein aggregation underlies an array of human diseases, yet only one small-molecule therapeutic targeting this process has been successfully developed to date. Here, we introduce an in vivo system, based on a β-lactamase tripartite fusion construct, that is capable of identifying aggregation-prone sequences in the periplasm of Escherichia coli and inhibitors that prevent their aberrant self-assembly. We demonstrate the power of the system using a range of proteins, from small unstructured peptides (islet amyloid polypeptide and amyloid β) to larger, folded immunoglobulin domains. Configured in a 48-well format, the split β-lactamase sensor readily differentiates between aggregation-prone and soluble sequences. Performing the assay in the presence of 109 compounds enabled a rank ordering of inhibition and revealed a new inhibitor of islet amyloid polypeptide aggregation. This platform can be applied to both amyloidogenic and other aggregation-prone systems, independent of sequence or size, and can identify small molecules or other factors able to ameliorate or inhibit protein aggregation.

Indexed as

Protein Aggregation, PathologicalAmyloid beta-Peptidesbeta-LactamasesBiological AssayBlotting, WesternCurcuminDopamineHumansMicroscopy, Electron, TransmissionProtein BindingSpectrometry, Mass, Electrospray IonizationAmyloid beta-Peptidesbeta-LactamasesCurcuminDopamine

Identifiers

PMID26656088
PMCPMC4720988
OpenAlexW2263583264

What OpenQuestion holds

Textmetadata
LicenceTDM
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.