Evidence map›Paper›PMID 42839918›Full record

ReviewFrontiers in epigenetics and epigenomics2026

Phenotypic plasticity in fish cell lines: conceptual links to aquatic epigenetics.

Daisuke Ikeda

Abstract readReview
In one paragraph

Review in Frontiers in epigenetics and epigenomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Daisuke IkedaSchool of Marine Biosciences, Kitasato University, Sagamihara, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish cell lines have long supported aquatic research, yet their emerging role as seed cells for cultured seafood requires a deeper understanding of their phenotypic stability. Although these cells often demonstrate prolonged proliferation and relative resistance to culture-associated senescence, they can also exhibit marked culture-dependent variability. In this review, I examine a central feature of fish cell culture: the coexistence of durable growth and flexible cell states. By focusing on spontaneous immortalization, passage-dependent changes, and differentiation-related plasticity, particularly in muscle and adipose lineages, I consider how these phenomena may be interpreted through the lens of epigenetic plasticity. Direct epigenomic evidence remains limited, and this review therefore presents a hypothesis-generating conceptual framework rather than an established mechanistic model. Nevertheless, studies involving DNA demethylation, incomplete senescence programs, possible differences in senescence-related genomic context, environmental epigenetics, and nuclear organization provide conceptual clues that reversible regulatory processes above the level of DNA sequence may shape fish cell-state behavior. I further discuss how this perspective is relevant to aquatic biotechnology and cultured seafood, where reproducibility, lineage control, quality control, and process standardization depend on monitoring cell-state behavior while distinguishing reversible regulatory changes from genetic alterations acquired during long-term culture. Clarifying the regulatory processes associated with phenotypic plasticity in fish cell lines may therefore provide a useful foundation for future epigenomic studies and for the development of biologically reliable fish cell platforms.

Indexed as

cellular senescencecultivated meatcultivated seafoodepigenetic plasticityfish cell linelong-term culturephenotypic plasticityspontaneous immortalization

Identifiers

PMID42839918
PMCPMC13632472

What OpenQuestion holds

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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.