Evidence map›Paper›PMID 22052354›Full record

ReviewPrion

Modeling ALS and FTLD proteinopathies in yeast: an efficient approach for studying protein aggregation and toxicity.

Dmitry Kryndushkin, Frank Shewmaker

Open access · bronzeAbstract readReview
In one paragraph

Review in Prion. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Invertebrate genetic models of amyotrophic lateral sclerosis.Frontiers in molecular neuroscience · 2024
    Review
  2. Review
  3. Where and Why Modeling Amyotrophic Lateral Sclerosis.International journal of molecular sciences · 2021
    Review
  4. Article
  5. Article
  6. Proteome-Scale Mapping of Perturbed Proteostasis in Living Cells.Cold Spring Harbor perspectives in biology · 2020
    Review
  7. Article
  8. Article
  9. Review
  10. ALS Yeast Models-Past Success Stories and New Opportunities.Frontiers in molecular neuroscience · 2018
    Review
  11. Review
  12. 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

2 authors at 2 institutions in 2 countries.

Dmitry KryndushkinDepartment of Pharmacology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. Dmitry.Kryndushkin@usuhs.mil
Frank Shewmaker
Russian State Agrarian Correspondence University · RUUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years there have been several reports of human neurodegenerative diseases that involve protein misfolding being modeled in the yeast Saccharomyces cerevisiae. This review summarizes recent advances in understanding the specific mechanisms underlying intracellular neuronal pathology during Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Lobar Degeneration (FTLD), including SOD1, TDP-43 and FUS protein inclusions and the potential of these proteins to be involved in pathogenic prion-like mechanisms. More specifically, we focus on findings from yeast systems that offer tremendous possibilities for screening for genetic and chemical modifiers of disease-related proteotoxicity.

Indexed as

AmyloidAmyotrophic Lateral SclerosisDNA-Binding ProteinsFrontotemporal Lobar DegenerationHumansModels, MolecularPrionsRNA-Binding Protein FUSSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSuperoxide DismutaseSuperoxide Dismutase-1AmyloidDNA-Binding ProteinsPrionsRNA-Binding Protein FUSSaccharomyces cerevisiae ProteinsSOD1 protein, humanSuperoxide DismutaseSuperoxide Dismutase-1

Identifiers

PMID22052354
PMCPMC4012400
OpenAlexW1992788111

What OpenQuestion 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 OpenQuestion graph.