Evidence map›Paper›PMID 24376646›Full record

ArticlePloS one2013

A genome-wide longitudinal transcriptome analysis of the aging model Podospora anserina.

Oliver Philipp, Andrea Hamann, Jörg Servos, Alexandra Werner, Ina Koch, Heinz D Osiewacz

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 8% 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, 34 citations in OpenAlex.

  1. Article
  2. Dynamic Changes in Gene Expression Through Aging inbioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. Insights into the Global Transcriptome Response ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  5. Review
  6. Article
  7. Aging ofCells · 2021
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Control of mitochondrial integrity in ageing and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Review
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
  • Erratum issued
5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Oliver PhilippMolecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Johann Wolfgang Goethe University, Frankfurt am Main, Germany ; Molecular Bioinformatics, Institute of Computer Science, Faculty of Computer Science and Mathematics & Cluster of Excellence 'Macromolecular Complexes', Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Andrea HamannMolecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Jörg ServosMolecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Alexandra WernerMolecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Ina KochMolecular Bioinformatics, Institute of Computer Science, Faculty of Computer Science and Mathematics & Cluster of Excellence 'Macromolecular Complexes', Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Heinz D OsiewaczMolecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Goethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging of biological systems is controlled by various processes which have a potential impact on gene expression. Here we report a genome-wide transcriptome analysis of the fungal aging model Podospora anserina. Total RNA of three individuals of defined age were pooled and analyzed by SuperSAGE (serial analysis of gene expression). A bioinformatics analysis identified different molecular pathways to be affected during aging. While the abundance of transcripts linked to ribosomes and to the proteasome quality control system were found to decrease during aging, those associated with autophagy increase, suggesting that autophagy may act as a compensatory quality control pathway. Transcript profiles associated with the energy metabolism including mitochondrial functions were identified to fluctuate during aging. Comparison of wild-type transcripts, which are continuously down-regulated during aging, with those down-regulated in the long-lived, copper-uptake mutant grisea, validated the relevance of age-related changes in cellular copper metabolism. Overall, we (i) present a unique age-related data set of a longitudinal study of the experimental aging model P. anserina which represents a reference resource for future investigations in a variety of organisms, (ii) suggest autophagy to be a key quality control pathway that becomes active once other pathways fail, and (iii) present testable predictions for subsequent experimental investigations.

Indexed as

Gene Expression Regulation, FungalGenome, FungalTranscriptomeAgingAutophagyCopperEnergy MetabolismFungal ProteinsGenome-Wide Association StudyHumansMitochondriaModels, BiologicalMolecular Sequence AnnotationPodosporaRibosomesTime FactorsCopperFungal Proteins

Identifiers

PMID24376646
PMCPMC3869774
OpenAlexW2093192969

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.