Evidence map›Paper›PMID 40498820›Full record

ArticleScience advances2025

Massively parallel genetic perturbation suggests the energetic structure of an amyloid-β transition state.

Anna Arutyunyan, Mireia Seuma, Andre J Faure, Benedetta Bolognesi, Ben Lehner

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Global Analysis of Aggregation Determinants in Small Protein Domains.bioRxiv : the preprint server for biology · 2025
    Article
  8. Review
  9. Employing deep mutational scanning in theProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Anna ArutyunyanWellcome Sanger Institute, Cambridge, UK.ORCID 0000-0003-0453-5443
Mireia SeumaInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 10-12, 08028 Barcelona, Spain.
Andre J FaureCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0002-4471-5994
Benedetta BolognesiInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 10-12, 08028 Barcelona, Spain.ORCID 0000-0002-6632-947X
Ben LehnerWellcome Sanger Institute, Cambridge, UK.ORCID 0000-0002-8817-1124

Funding

Wellcome Trust
6 · The paper itself

Abstract

Amyloid aggregates are pathological hallmarks of many human diseases, but how soluble proteins nucleate to form amyloids is poorly understood. Here, we use combinatorial mutagenesis, a kinetic selection assay, and machine learning to massively perturb the energetics of the nucleation reaction of amyloid-β (Aβ42), the protein that aggregates in Alzheimer's disease. In total, we measure the nucleation rates of >140,000 variants of Aβ42 to accurately quantify the changes in free energy of activation of the reaction for all possible amino acid substitutions in a protein and, in addition, to quantify >600 energetic interactions between mutations. Strong energetic couplings suggest that the Aβ42 nucleation reaction transition state is structured in a short C-terminal region, providing a structural model for the reaction that may initiate Alzheimer's disease. Using this approach it should be possible to reveal the energetic structures of additional amyloid transition states and, in combination with additional selection assays, protein transition states more generally.

Indexed as

Amyloid beta-PeptidesPeptide FragmentsAlzheimer DiseaseHumansKineticsMachine LearningMutationProtein AggregatesThermodynamicsAmyloid beta-Peptidesamyloid beta-protein (1-42)Peptide FragmentsProtein Aggregates

Identifiers

PMID40498820
PMCPMC12153979

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.