Evidence map›Paper›PMID 35960802›Full record

ArticleScience advances2022

Uncovering the universality of self-replication in protein aggregation and its link to disease.

Georg Meisl, Catherine K Xu, Jonathan D Taylor, Thomas C T Michaels, Aviad Levin, Daniel Otzen, David Klenerman, Steve Matthews, Sara Linse, Maria Andreasen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
  3. Nuclear dysfunction in aging and neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  4. Article
  5. Article
  6. The Importance of Being Imperfect: Structure and Function of Bacterial Amyloid.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Beyond prion-like spreading in neurodegenerative disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  11. Review
  12. Article
  13. Small-diffusible aggregates, plaques, tangles, and dynamic equilibria: Untangling Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. CsgA gatekeeper residues control nucleation but not stability of functional amyloid.Protein science : a publication of the Protein Society · 2024
    Article
  18. Article
  19. Structure of biofilm-forming functional amyloid PSMα1 fromProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Review
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

11 authors at 4 institutions in 3 countries.

Georg MeislYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID 0000-0002-6562-7715
Catherine K XuYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID 0000-0003-4726-636X
Jonathan D TaylorDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-9797-3989
Thomas C T MichaelsYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID 0000-0001-6931-5041
Aviad LevinYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID 0000-0002-3949-1033
Daniel OtzenInterdisciplinary Nanoscience Center (iNANO), Aarhus University, Gustav Wieds Vej 14, Aarhus DK-8000, Denmark.ORCID 0000-0002-2918-8989
David KlenermanYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID 0000-0001-7116-6954
Steve MatthewsDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0003-0676-0927
Sara LinseDepartment of Biochemistry and Structural Biology, Lund University, Lund, Sweden.ORCID 0000-0001-9629-7109
Maria AndreasenYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID 0000-0002-6096-2995
Tuomas P J KnowlesYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID 0000-0002-7879-0140
University of Cambridge · GBAarhus University · DKImperial College London · GBLund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrillar protein aggregates are a hallmark of a range of human disorders, from prion diseases to dementias, but are also encountered in several functional contexts. Yet, the fundamental links between protein assembly mechanisms and their functional or pathological roles have remained elusive. Here, we analyze the aggregation kinetics of a large set of proteins that self-assemble by a nucleated-growth mechanism, from those associated with disease, over those whose aggregates fulfill functional roles in biology, to those that aggregate only under artificial conditions. We find that, essentially, all such systems, regardless of their biological role, are capable of self-replication. However, for aggregates that have evolved to fulfill a structural role, the rate of self-replication is too low to be significant on the biologically relevant time scale. By contrast, all disease-related proteins are able to self-replicate quickly compared to the time scale of the associated disease. Our findings establish the ubiquity of self-replication and point to its potential importance across aggregation-related disorders.

Identifiers

PMID35960802
PMCPMC9374340
OpenAlexW4290852311

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.