Evidence map›Paper›PMID 23947592›Full record

ArticleBMC genomics2013

Transcriptional profiling reveals progeroid Ercc1(-/Δ) mice as a model system for glomerular aging.

Bernhard Schermer, Valerie Bartels, Peter Frommolt, Bianca Habermann, Fabian Braun, Joachim L Schultze, Marianne Roodbergen, Jan Hj Hoeijmakers, Björn Schumacher, Peter Nürnberg and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Inflammation and aging: signaling pathways and intervention therapies.Signal transduction and targeted therapy · 2023
    Review
  5. Perinatal Obesity Sensitizes for Premature Kidney Aging Signaling.International journal of molecular sciences · 2023
    Article
  6. Review
  7. In Vivo Renin Activity Imaging in the Kidney of ProgeroidInternational journal of molecular sciences · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. 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

14 authors at 5 institutions in 2 countries.

Bernhard SchermerDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
Valerie Bartels
Peter Frommolt
Bianca Habermann
Fabian Braun
Joachim L Schultze
Marianne Roodbergen
Jan Hj Hoeijmakers
Björn Schumacher
Peter Nürnberg
Martijn Et Dollé
Thomas Benzing
Roman-Ulrich Müller
Christine E Kurschat
University of Cologne · DECologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · DENational Institute for Public Health and the Environment · NLErasmus MC · NLUniversity of Bonn · DE

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
Models for DNA repair and cell cycle control variantsU01ES011044 · NIEHS · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 2001 to 2006
$5.1M
European Research Council 260383NIA NIH HHS 1P01 AG17242-02NIA NIH HHS 3P01 AG017242NIEHS NIH HHS 1U01 ES011044
6 · The paper itself

Abstract

backgroundAging-related kidney diseases are a major health concern. Currently, models to study renal aging are lacking. Due to a reduced life-span progeroid models hold the promise to facilitate aging studies and allow examination of tissue-specific changes. Defects in genome maintenance in the Ercc1(-/Δ) progeroid mouse model result in premature aging and typical age-related pathologies. Here, we compared the glomerular transcriptome of young and aged Ercc1-deficient mice to young and aged WT mice in order to establish a novel model for research of aging-related kidney disease.

resultsIn a principal component analysis, age and genotype emerged as first and second principal components. Hierarchical clustering of all 521 genes differentially regulated between young and old WT and young and old Ercc1(-/Δ) mice showed cluster formation between young WT and Ercc1(-/Δ) as well as old WT and Ercc1(-/Δ) samples. An unexpectedly high number of 77 genes were differentially regulated in both WT and Ercc1(-/Δ) mice (p < 0.0001). GO term enrichment analysis revealed these genes to be involved in immune and inflammatory response, cell death, and chemotaxis. In a network analysis, these genes were part of insulin signaling, chemokine and cytokine signaling and extracellular matrix pathways.

conclusionBeyond insulin signaling, we find chemokine and cytokine signaling as well as modifiers of extracellular matrix composition to be subject to major changes in the aging glomerulus. At the level of the transcriptome, the pattern of gene activities is similar in the progeroid Ercc1(-/Δ) mouse model constituting a valuable tool for future studies of aging-associated glomerular pathologies.

Indexed as

Gene Expression ProfilingAge FactorsAgingAnimalsCluster AnalysisDisease Models, AnimalDNA-Binding ProteinsEndonucleasesFemaleGene Expression RegulationKidney DiseasesKidney GlomerulusMaleMiceMice, KnockoutMolecular Sequence AnnotationDNA-Binding ProteinsEndonucleasesErcc1 protein, mouse

Identifiers

PMID23947592
PMCPMC3751413
OpenAlexW2083288965

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Registered trials

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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.