Evidence map›Paper›PMID 33309863›Full record

ArticleGenomics, proteomics & bioinformatics2020

Tissue-specific Gene Expression Changes Are Associated with Aging in Mice.

Akash Srivastava, Emanuel Barth, Maria A Ermolaeva, Madlen Guenther, Christiane Frahm, Manja Marz, Otto W Witte

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 51 citations in OpenAlex.

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  17. [Lipocalin 2 induces self-limited inhibition of osteoblast differentiation of mesenchymal stem cells].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
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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

7 authors at 2 institutions in 1 country.

Akash SrivastavaHans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.
Emanuel BarthBioinformatics/High Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany; FLI Leibniz Institute for Age Research, 07745 Jena, Germany. Electronic address: emanuel.barth@uni-jena.de.
Maria A ErmolaevaFLI Leibniz Institute for Age Research, 07745 Jena, Germany.
Madlen GuentherHans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.
Christiane FrahmHans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.
Manja MarzBioinformatics/High Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany; FLI Leibniz Institute for Age Research, 07745 Jena, Germany. Electronic address: manja@uni-jena.de.
Otto W WitteHans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany. Electronic address: otto.witte@med.uni-jena.de.
Friedrich Schiller University Jena · DELeibniz Association · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is a complex process that can be characterized by functional and cognitive decline in an individual. Aging can be assessed based on the functional capacity of vital organs and their intricate interactions with one another. Thus, the nature of aging can be described by focusing on a specific organ and an individual itself. However, to fully understand the complexity of aging, one must investigate not only a single tissue or biological process but also its complex interplay and interdependencies with other biological processes. Here, using RNA-seq, we monitored changes in the transcriptome during aging in four tissues (including brain, blood, skin and liver) in mice at 9 months, 15 months, and 24 months, with a final evaluation at the very old age of 30 months. We identified several genes and processes that were differentially regulated during aging in both tissue-dependent and tissue-independent manners. Most importantly, we found that the electron transport chain (ETC) of mitochondria was similarly affected at the transcriptome level in the four tissues during the aging process. We also identified the liver as the tissue showing the largest variety of differentially expressed genes (DEGs) over time. Lcn2 (Lipocalin-2) was found to be similarly regulated among all tissues, and its effect on longevity and survival was validated using its orthologue in Caenorhabditis elegans. Our study demonstrated that the molecular processes of aging are relatively subtle in their progress, and the aging process of every tissue depends on the tissue's specialized function and environment. Hence, individual gene or process alone cannot be described as the key of aging in the whole organism.

Indexed as

AgingLongevityAnimalsCaenorhabditis elegansMiceMitochondriaTranscriptomeAgingElectron transport chainInflammagingRNA-seq analysisTissue aging

Identifiers

PMID33309863
PMCPMC8242333
OpenAlexW3111563639

What OpenQuestion holds

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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.