Evidence map›Paper›PMID 33657088›Full record

ArticlePLoS genetics2021

DEAD-box RNA helicase Dbp4/DDX10 is an enhancer of α-synuclein toxicity and oligomerization.

Blagovesta Popova, Dan Wang, Christina Pätz, Dagmar Akkermann, Diana F Lázaro, Dajana Galka, Miriam Kolog Gulko, Markus T Bohnsack, Wiebke Möbius, Katherine E Bohnsack and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. 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

12 authors at 3 institutions in 2 countries.

Blagovesta PopovaDepartment of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany.ORCID 0000-0001-6323-374X
Dan WangDepartment of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany.
Christina PätzDepartment of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany.
Dagmar AkkermannDepartment of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany.
Diana F LázaroDepartment of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Goettingen, Göttingen, Germany.
Dajana GalkaDepartment of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany.ORCID 0000-0002-3721-6476
Miriam Kolog GulkoDepartment of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany.ORCID 0000-0001-8317-5006
Markus T BohnsackDepartment of Molecular Biology, University Medical Center Goettingen, Göttingen, Germany.ORCID 0000-0001-7063-5456
Wiebke MöbiusDepartment of Neurogenetics, Electron Microscopy Core Unit, Max-Planck-Institute of Experimental Medicine, Göttingen, Germany.
Katherine E BohnsackDepartment of Molecular Biology, University Medical Center Goettingen, Göttingen, Germany.
Tiago F OuteiroDepartment of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Goettingen, Göttingen, Germany.ORCID 0000-0003-1679-1727
Gerhard H BrausDepartment of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany.ORCID 0000-0002-3117-5626
University of Göttingen · DEMax Planck Institute of Experimental Medicine · DENewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease is a neurodegenerative disorder associated with misfolding and aggregation of α-synuclein as a hallmark protein. Two yeast strain collections comprising conditional alleles of essential genes were screened for the ability of each allele to reduce or improve yeast growth upon α-synuclein expression. The resulting 98 novel modulators of α-synuclein toxicity clustered in several major categories including transcription, rRNA processing and ribosome biogenesis, RNA metabolism and protein degradation. Furthermore, expression of α-synuclein caused alterations in pre-rRNA transcript levels in yeast and in human cells. We identified the nucleolar DEAD-box helicase Dbp4 as a prominent modulator of α-synuclein toxicity. Downregulation of DBP4 rescued cells from α-synuclein toxicity, whereas overexpression led to a synthetic lethal phenotype. We discovered that α-synuclein interacts with Dbp4 or its human ortholog DDX10, sequesters the protein outside the nucleolus in yeast and in human cells, and stabilizes a fraction of α-synuclein oligomeric species. These findings provide a novel link between nucleolar processes and α-synuclein mediated toxicity with DDX10 emerging as a promising drug target.

Indexed as

Protein AggregatesProtein Multimerizationalpha-SynucleinAmyloidDEAD-box RNA HelicasesGene Expression RegulationHumansInclusion BodiesModels, BiologicalNeurodegenerative DiseasesProtein Aggregation, PathologicalProtein BindingProtein TransportYeastsalpha-SynucleinAmyloidDDX10 protein, humanDEAD-box RNA HelicasesProtein Aggregates

Identifiers

PMID33657088
PMCPMC7928443
OpenAlexW3133973251

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.