Evidence map›Paper›PMID 31996674›Full record

ArticleNature communications2020

Arginine π-stacking drives binding to fibrils of the Alzheimer protein Tau.

Luca Ferrari, Riccardo Stucchi, Katerina Konstantoulea, Gerarda van de Kamp, Renate Kos, Willie J C Geerts, Laura S van Bezouwen, Friedrich G Förster, Maarten Altelaar, Casper C Hoogenraad and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Tau aggregation.Histology and histopathology · 2026
    Review
  5. Review
  6. Article
  7. FibrilPaint to determine the length of Tau amyloids in fluids.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Review
  10. Making Proteins with Electricity.Reviews of physiology, biochemistry and pharmacology · 2025
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Mechanisms and pathology of protein misfolding and aggregation.Nature reviews. Molecular cell biology · 2023
    Review
  17. AQcalc: A web server that identifies weak molecular interactions in protein structures.Protein science : a publication of the Protein Society · 2023
    Article
  18. Article
  19. Review
  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.

Luca Ferrari *Cellular Protein Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-1934-157X
Riccardo Stucchi *Science for Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Katerina KonstantouleaCellular Protein Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-0960-6274
Gerarda van de KampCellular Protein Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-9483-4609
Renate KosCellular Protein Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-9895-9636
Willie J C GeertsScience for Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-4530-7458
Laura S van BezouwenScience for Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Friedrich G FörsterScience for Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-6044-2746
Maarten AltelaarScience for Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-5093-5945
Casper C HoogenraadScience for Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-2666-0758
Stefan G D RüdigerCellular Protein Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands. s.g.d.rudiger@uu.nl.ORCID http://orcid.org/0000-0002-1807-2972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aggregation of the Tau protein into fibrils defines progression of neurodegenerative diseases, including Alzheimer's Disease. The molecular basis for potentially toxic reactions of Tau aggregates is poorly understood. Here we show that π-stacking by Arginine side-chains drives protein binding to Tau fibrils. We mapped an aggregation-dependent interaction pattern of Tau. Fibrils recruit specifically aberrant interactors characterised by intrinsically disordered regions of atypical sequence features. Arginine residues are key to initiate these aberrant interactions. Crucial for scavenging is the guanidinium group of its side chain, not its charge, indicating a key role of π-stacking chemistry for driving aberrant fibril interactions. Remarkably, despite the non-hydrophobic interaction mode, the molecular chaperone Hsp90 can modulate aberrant fibril binding. Together, our data present a molecular mode of action for derailment of protein-protein interaction by neurotoxic fibrils.

Indexed as

Protein BindingAlzheimer DiseaseAmino Acid SequenceAmyloidAnimalsArginineDisease ProgressionGuanidineHSP90 Heat-Shock ProteinsHumansMass SpectrometryMolecular ChaperonesProtein AggregatesProtein DomainsProtein FoldingProteomeAmyloidArginineGuanidineHSP90 Heat-Shock ProteinsMolecular ChaperonesProtein AggregatesProteometau Proteins

Identifiers

PMID31996674
PMCPMC6989696

What OpenQuestion holds

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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.