Evidence map›Paper›PMID 35259090›Full record

SynthesiseLife2022

Distinct and diverse chromatin proteomes of ageing mouse organs reveal protein signatures that correlate with physiological functions.

Giorgio Oliviero, Sergey Kovalchuk, Adelina Rogowska-Wrzesinska, Veit Schwämmle, Ole N Jensen

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Tumors and their microenvironments: Learning from pediatric brain pathologies.Biochimica et biophysica acta. Reviews on cancer · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Genomic Instability and Epigenetic Changes during Aging.International journal of molecular sciences · 2023
    Review
  9. Article
  10. 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

5 authors at 1 institution in 1 country.

Giorgio OlivieroDepartment of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences. University of Southern Denmark, Odense, Denmark.
Sergey KovalchukDepartment of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences. University of Southern Denmark, Odense, Denmark.
Adelina Rogowska-WrzesinskaDepartment of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences. University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-9876-0061
Veit SchwämmleDepartment of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences. University of Southern Denmark, Odense, Denmark.
Ole N JensenDepartment of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences. University of Southern Denmark, Odense, Denmark.ORCID 0000-0003-1862-8528
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporal molecular changes in ageing mammalian organs are of relevance to disease aetiology because many age-related diseases are linked to changes in the transcriptional and epigenetic machinery that regulate gene expression. We performed quantitative proteome analysis of chromatin-enriched protein extracts to investigate the dynamics of the chromatin proteomes of the mouse brain, heart, lung, kidney, liver, and spleen at 3, 5, 10, and 15 months of age. Each organ exhibited a distinct chromatin proteome and sets of unique proteins. The brain and spleen chromatin proteomes were the most extensive, diverse, and heterogenous among the six organs. The spleen chromatin proteome appeared static during the lifespan, presenting a young phenotype that reflects the permanent alertness state and important role of this organ in physiological defence and immunity. We identified a total of 5928 proteins, including 2472 nuclear or chromatin-associated proteins across the six mouse organs. Up to 3125 proteins were quantified in each organ, demonstrating distinct and organ-specific temporal protein expression timelines and regulation at the post-translational level. Bioinformatics meta-analysis of these chromatin proteomes revealed distinct physiological and ageing-related features for each organ. Our results demonstrate the efficiency of organelle-specific proteomics for in vivo studies of a model organism and consolidate the hypothesis that chromatin-associated proteins are involved in distinct and specific physiological functions in ageing organs.

Indexed as

ChromatinProteomeAgingAnimalsMammalsMiceProtein Processing, Post-TranslationalProteomicsChromatinProteomeageingcell biologychromatindevelopmental biologyepigeneticsmass spectrometrymouseorgan proteomesproteomics

Identifiers

PMID35259090
PMCPMC8933006
OpenAlexW4220668819

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.