Evidence map›Paper›PMID 32515539›Full record

ArticleAging cell2020

Gray whale transcriptome reveals longevity adaptations associated with DNA repair and ubiquitination.

Dmitri Toren, Anton Kulaga, Mineshbhai Jethva, Eitan Rubin, Anastasia V Snezhkina, Anna V Kudryavtseva, Dmitry Nowicki, Robi Tacutu, Alexey A Moskalev, Vadim E Fraifeld

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

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  5. The Evolutionary Interplay of Somatic and Germline Mutation Rates.Annual review of biomedical data science · 2024
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  10. The landscape of aging.Science China. Life sciences · 2022
    Review
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  15. Knock-down ofAging · 2021
    Article
  16. Article
  17. Characterization and complexity of transcriptome in Gymnocypris przewalskii using single-molecule long-read sequencing and RNA-seq.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
    Article
  18. Article
  19. Alternative Animal Models of Aging Research.Frontiers in molecular biosciences · 2021
    Review
  20. 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

10 authors at 5 institutions in 4 countries.

Dmitri TorenThe Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID 0000-0003-3349-6463
Anton KulagaSystems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania.
Mineshbhai JethvaThe Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Eitan RubinThe Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Anastasia V SnezhkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Anna V KudryavtsevaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Dmitry NowickiCenter for Cybernetics, Institute of MMS of NASU, Kiev, Ukraine.
Robi TacutuSystems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania.ORCID 0000-0001-5853-2470
Alexey A MoskalevEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Vadim E FraifeldThe Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Ben-Gurion University of the Negev · ILEngelhardt Institute of Molecular Biology · RUAcademia Oamenilor de Știință din România · ROUniversity of Bucharest · ROV.M. Glushkov Institute of Cybernetics · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One important question in aging research is how differences in genomics and transcriptomics determine the maximum lifespan in various species. Despite recent progress, much is still unclear on the topic, partly due to the lack of samples in nonmodel organisms and due to challenges in direct comparisons of transcriptomes from different species. The novel ranking-based method that we employ here is used to analyze gene expression in the gray whale and compare its de novo assembled transcriptome with that of other long- and short-lived mammals. Gray whales are among the top 1% longest-lived mammals. Despite the extreme environment, or maybe due to a remarkable adaptation to its habitat (intermittent hypoxia, Arctic water, and high pressure), gray whales reach at least the age of 77 years. In this work, we show that long-lived mammals share common gene expression patterns between themselves, including high expression of DNA maintenance and repair, ubiquitination, apoptosis, and immune responses. Additionally, the level of expression for gray whale orthologs of pro- and anti-longevity genes found in model organisms is in support of their alleged role and direction in lifespan determination. Remarkably, among highly expressed pro-longevity genes many are stress-related, reflecting an adaptation to extreme environmental conditions. The conducted analysis suggests that the gray whale potentially possesses high resistance to cancer and stress, at least in part ensuring its longevity. This new transcriptome assembly also provides important resources to support the efforts of maintaining the endangered population of gray whales.

Indexed as

AnimalsDNA RepairLongevityTranscriptomeUbiquitinationWhalesagingcomparative analysisDNA repairgray whalelongevitytranscriptomics

Identifiers

PMID32515539
PMCPMC7433004
OpenAlexW3033565714

What Socratic 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 Socratic graph.