Evidence map›Paper›PMID 30658520›Full record

ReviewCells2019

Yeast to Study Human Purine Metabolism Diseases.

Bertrand Daignan-Fornier, Benoît Pinson

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Scarless Genetic Engineering ofJournal of microbiology and biotechnology · 2025
    Article
  3. Article
  4. Yeast adapts to diverse ecological niches driven by genomics and metabolic reprogramming.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Clinical Isolate ofOpen journal of medical microbiology · 2025
    Article
  7. Article
  8. Effect and mechanism ofFrontiers in microbiology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Biofilm · 2022
    Article
  16. Journal of fungi (Basel, Switzerland) · 2022
    Article
  17. Article
  18. Article
  19. Combined Metabolomics and Network Toxicology to Explore the Molecular Mechanism ofEvidence-based complementary and alternative medicine : eCAM · 2021
    Article
  20. 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 1 institution in 1 country.

Bertrand Daignan-FornierUniversité de Bordeaux IBGC UMR 5095 1, rue Camille Saint-Saëns, F-33077 Bordeaux, France. b.daignan-fornier@ibgc.cnrs.fr.ORCID 0000-0003-2352-9700
Benoît PinsonUniversité de Bordeaux IBGC UMR 5095 1, rue Camille Saint-Saëns, F-33077 Bordeaux, France. benoit.pinson@ibgc.cnrs.fr.ORCID 0000-0003-2936-9058
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purine nucleotides are involved in a multitude of cellular processes, and the dysfunction of purine metabolism has drastic physiological and pathological consequences. Accordingly, several genetic disorders associated with defective purine metabolism have been reported. The etiology of these diseases is poorly understood and simple model organisms, such as yeast, have proved valuable to provide a more comprehensive view of the metabolic consequences caused by the identified mutations. In this review, we present results obtained with the yeast

Indexed as

HumansMetabolic DiseasesModels, BiologicalPurinesSaccharomyces cerevisiaeSequence Homology, Amino AcidpurinePurinesADSLAMP-deaminaseATIChyperuricemiaLesch–Nyhannucleotide synthesisPRPSpurine-associated deficienciespurine metabolism

Identifiers

PMID30658520
PMCPMC6356901
OpenAlexW2911127775

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.