Evidence map›Paper›PMID 25411231›Full record

ArticleAging2014

Proteome-wide analysis reveals an age-associated cellular phenotype of in situ aged human fibroblasts.

Daniel M Waldera-Lupa, Faiza Kalfalah, Ana-Maria Florea, Steffen Sass, Fabian Kruse, Vera Rieder, Julia Tigges, Ellen Fritsche, Jean Krutmann, Hauke Busch and 6 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

49 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
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  9. Review
  10. Hypertrophic cardiomyopathy inThe journal of cardiovascular aging · 2024
    Article
  11. Metabolomics to Study Human Aging: A Review.Current molecular medicine · 2024
    Review
  12. Skin Cancer Microenvironment: What We Can Learn from Skin Aging?International journal of molecular sciences · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Aging Hallmarks and the Role of Oxidative Stress.Antioxidants (Basel, Switzerland) · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 1 country.

Daniel M Waldera-LupaInstitute for Molecular Medicine, Heinrich-Heine-University, Düsseldorf, Germany. Molecular Proteomics Laboratory, Biomedical Research Centre (BMFZ), Heinrich-Heine-University, Düsseldorf, Germany.
Faiza KalfalahInstitute of Clinical Chemistry and Laboratory Diagnostics, Heinrich-Heine-University, Med. Faculty, Düsseldorf, Germany.
Ana-Maria FloreaDepartment of Neuropathology, Heinrich-Heine-University, Düsseldorf, and German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Steffen SassInstitute of Computational Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Fabian KruseInstitute for Molecular Medicine, Heinrich-Heine-University, Düsseldorf, Germany. Molecular Proteomics Laboratory, Biomedical Research Centre (BMFZ), Heinrich-Heine-University, Düsseldorf, Germany.
Vera RiederInstitute for Molecular Medicine, Heinrich-Heine-University, Düsseldorf, Germany. Molecular Proteomics Laboratory, Biomedical Research Centre (BMFZ), Heinrich-Heine-University, Düsseldorf, Germany.
Julia TiggesLeibniz Research Institute for Environmental Medicine (IUF), Düsseldorf, Germany.
Ellen FritscheLeibniz Research Institute for Environmental Medicine (IUF), Düsseldorf, Germany.
Jean KrutmannLeibniz Research Institute for Environmental Medicine (IUF), Düsseldorf, Germany.
Hauke BuschInstitute of Molecular Medicine and Cell Research, Albert-Ludwigs-University Freiburg, Freiburg, Germany. German Cancer Consortium (DKTK), Freiburg, Germany. German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany.
Melanie BoerriesInstitute of Molecular Medicine and Cell Research, Albert-Ludwigs-University Freiburg, Freiburg, Germany. German Cancer Consortium (DKTK), Freiburg, Germany. German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany.
Helmut E MeyerDepartment of Biomedical Research, Leibniz-Institute for Analytical Science - ISAS, Dortmund, Germany.
Fritz BoegeInstitute of Clinical Chemistry and Laboratory Diagnostics, Heinrich-Heine-University, Med. Faculty, Düsseldorf, Germany.
Fabian TheisDepartment of Mathematics, Technical University Munich, Garching, Germany.
Guido ReifenbergerDepartment of Neuropathology, Heinrich-Heine-University, Düsseldorf, and German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Kai StühlerInstitute for Molecular Medicine, Heinrich-Heine-University, Düsseldorf, Germany. Molecular Proteomics Laboratory, Biomedical Research Centre (BMFZ), Heinrich-Heine-University, Düsseldorf, Germany.
Heinrich Heine University Düsseldorf · DELeibniz Institute of Environmental Medicine · DEGerman Cancer Research Center · DEDeutschen Konsortium für Translationale Krebsforschung · DEHeidelberg University · DEHelmholtz Zentrum München · DELeibniz Institute for Analytical Sciences - ISAS · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed an ex vivo model of in situ aged human dermal fibroblasts, obtained from 15 adult healthy donors from three different age groups using an unbiased quantitative proteome-wide approach applying label-free mass spectrometry. Thereby, we identified 2409 proteins, including 43 proteins with an age-associated abundance change. Most of the differentially abundant proteins have not been described in the context of fibroblasts' aging before, but the deduced biological processes confirmed known hallmarks of aging and led to a consistent picture of eight biological categories involved in fibroblast aging, namely proteostasis, cell cycle and proliferation, development and differentiation, cell death, cell organization and cytoskeleton, response to stress, cell communication and signal transduction, as well as RNA metabolism and translation. The exhaustive analysis of protein and mRNA data revealed that 77 % of the age-associated proteins were not linked to expression changes of the corresponding transcripts. This is in line with an associated miRNA study and led us to the conclusion that most of the age-associated alterations detected at the proteome level are likely caused post-transcriptionally rather than by differential gene expression. In summary, our findings led to the characterization of novel proteins potentially associated with fibroblast aging and revealed that primary cultures of in situ aged fibroblasts are characterized by moderate age-related proteomic changes comprising the multifactorial process of aging.

Indexed as

TranscriptomeAdultAgedAgingCells, CulturedFemaleFibroblastsHumansIn Vitro TechniquesMass SpectrometryMicroRNAsMiddle AgedPhenotypeProteomicsYoung AdultMicroRNAs

Identifiers

PMID25411231
PMCPMC4247387
OpenAlexW205303744

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.