Evidence map›Paper›PMID 41440024›Full record

ArticleCells2025

Sibling-Derived Cell Lines of Whole Larval Siberian Sturgeon as an In Vitro Model System for Studying Inter-Individual Differences Within the Same Genomic Heritage.

Valeria Di Leonardo, Katrin Tönißen, Julia Brenmoehl, Daniela Ohde, Heike Wanka, Kenneth Benning, Bianka Grunow

Abstract read
In one paragraph

Article in Cells, 2025. 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

7 authors.

Valeria Di LeonardoFish Growth Physiology, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.ORCID 0000-0003-0459-2253
Katrin TönißenFish Growth Physiology, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.ORCID 0000-0003-3550-1772
Julia BrenmoehlEndocrinology of Farm Animals, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.ORCID 0000-0002-7958-0655
Daniela OhdeEndocrinology of Farm Animals, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.ORCID 0000-0002-0669-8409
Heike WankaInstitute of Physiology, University Medicine, 17475 Greifswald, Germany.
Kenneth BenningLondon Fine Foods Group/CellRoe, London SW11 3HB, UK.
Bianka GrunowFish Growth Physiology, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.ORCID 0000-0001-8503-2754

Funding

Cellroe LtD no numberResearch Institute for Farm Animal Biology (FBN) no number
6 · The paper itself

Abstract

Sturgeons, once resilient enough to outlive dinosaurs, are now critically endangered. All 26 species of Acipenseriformes face extinction due to anthropogenic causes. Despite their ecological and economic significance, sturgeon research lacks essential tools such as larval cell lines; the Cellosaurus database lists only one larval cell line (AOXlar7y from Atlantic sturgeon). Larval stages are key to understand fish development, representing a transitional phase between embryonic and adult life that is highly sensitive to temperature shifts, oxygen depletion and pollution. Larval cell lines therefore provide potential in vitro models for studying development and stress responses in endangered species. This study focused on establishing and initially characterizing five novel larval cell lines from siblings of the Siberian sturgeon (

Indexed as

FishesGenomeGenomicsLarvaAnimalsCell Lineextracellular acidification rate (ECAR)fish in vitro modellarval cell linemitochondrial activitysibling variation

Identifiers

PMID41440024
PMCPMC12731515

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.