Evidence map›Paper›PMID 36063238›Full record

ArticleMarine biotechnology (New York, N.Y.)2022

Age-Associated Different Transcriptome Profiling in Zebrafish and Rats: an Insight into the Diversity of Vertebrate Aging.

Yusuke Kijima, Wang Wantong, Yoji Igarashi, Kazutoshi Yoshitake, Shuichi Asakawa, Yutaka Suzuki, Shugo Watabe, Shigeharu Kinoshita

Abstract read
PubMed Publisher
In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Transcriptomic Insights into Post-Spawning Death and Muscle Atrophy in Ayu (International journal of molecular sciences · 2025
    Article
  3. Review
  4. Article
  5. Inflammation in Development and Aging: Insights from the Zebrafish Model.International journal of molecular sciences · 2024
    Review
  6. Review
  7. Article
  8. 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

8 authors at 5 institutions in 2 countries.

Yusuke KijimaDepartment of Aquatic Bioscience, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, 113-8657, Japan.
Wang WantongDepartment of Aquatic Bioscience, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, 113-8657, Japan.
Yoji IgarashiDepartment of Aquatic Bioscience, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, 113-8657, Japan.
Kazutoshi YoshitakeDepartment of Aquatic Bioscience, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, 113-8657, Japan.
Shuichi AsakawaDepartment of Aquatic Bioscience, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, 113-8657, Japan.
Yutaka SuzukiLaboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Chiba, 272-8562, Japan.
Shugo WatabeKitasato University School of Marine Biosciences, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan.
Shigeharu KinoshitaDepartment of Aquatic Bioscience, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, 113-8657, Japan. kinoshita-s@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-6458-1487
The University of Tokyo · JPKitasato University · JPMie University · JPTokyo University of Agriculture · JPUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most mammals, including humans, show obvious aging phenotypes, for example, loss of tissue plasticity and sarcopenia. In this regard, fish can be attractive models to study senescence because of their unique aging characteristics. The lifespan of fish varies widely, and several species can live for over 200 years. Moreover, some fish show anti-aging features and indeterminate growth throughout their life. Therefore, exploring the aging mechanism in fish could provide new insights into vertebrate aging. To this end, we conducted RNA sequencing (RNA-seq) assays for various organs and growth stages of zebrafish and compared the data with previously published RNA-seq data of rats. Age-associated differentially expressed genes (DEGs) for all zebrafish tissue samples reveal the upregulation of circadian genes and downregulation of hmgb3a. On one hand, a comparative analysis of DEG profiles associated with aging between zebrafish and rats identifies upregulation of circadian genes and downregulation of collagen genes as conserved transcriptome changes. On the other hand, in zebrafish, upregulation of autophagy-related genes in muscles and AP-1 transcription factor genes in various tissues is observed, which may imply fish-specific anti-aging characteristics. Consistent with our knowledge of mammalian aging, DEG profiles related to tissue senescence are observed in rats. We also detect age-associated downregulation of muscle homeostasis and differentiation-related genes in zebrafish gills, indicating a fish-specific senescence phenotype. Our results indicate both common and different aging profiles between fish and mammals, which could be used for future translational research.

Indexed as

Transcription Factor AP-1ZebrafishAgingAnimalsCollagenGene Expression ProfilingHumansMammalsRatsRNATranscriptomeCollagenRNATranscription Factor AP-1AP-1Comparative transcriptomeHmgbMammalSenescenceTeleost

Identifiers

PMID36063238
OpenAlexW4294666867

What OpenQuestion holds

Textmetadata
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.