Evidence map›Paper›PMID 40045069›Full record

ReviewNature reviews. Chemistry2025

Detection of protein oligomers with nanopores.

Robert I Horne, Sarah E Sandler, Michele Vendruscolo, Ulrich F Keyser

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Toxic mechanisms of amyloid oligomers and therapeutic strategies.Protein science : a publication of the Protein Society · 2026
    Review
  8. Threading of Single Protein Molecules Through a Solid-State Nanopore.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  9. Review
  10. Review
  11. Article
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.

Robert I Horne *Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK. rih29@cam.ac.uk.ORCID 0000-0003-1534-2639
Sarah E Sandler *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA. Sarah.Sandler@wyss.harvard.edu.ORCID 0000-0001-9689-8684
Michele VendruscoloCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK. mv245@cam.ac.uk.ORCID 0000-0002-3616-1610
Ulrich F KeyserCavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK. ufk20@cam.ac.uk.ORCID 0000-0003-3188-5414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Powerful single-molecule approaches have been developed for the accurate measurement of protein oligomers, but they are often low throughput and limited to the measurement of specific systems. To overcome this problem, nanopore-based detection holds the promise of providing the high throughput, broad applicability, and accuracy necessary to characterize protein oligomers in a variety of contexts. Nanopores provide accuracy comparable with that of state-of-the-art single-molecule detection methods, but with the added potential for fast and accurate measurements that may be amenable to industrial-scale manufacture. Key to enabling this expansion is combination with other emerging technologies such as DNA nanostructure tagging, machine learning-enabled signal analysis, and innovative detection device manufacture. Together, these technologies could enable widespread adoption of nanopore-based sensing in oligomer detection, revolutionizing diagnostics and biomarker detection in protein misfolding diseases.

Indexed as

NanoporesProteinsDNAHumansMachine LearningNanotechnologyDNAProteins

Identifiers

What Socratic 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 Socratic graph.