Evidence map›Paper›PMID 22204449›Full record

ArticleStem cells and development2012

Interordinal chimera formation between medaka and zebrafish for analyzing stem cell differentiation.

Ni Hong, Songlin Chen, Ruowen Ge, Jianxing Song, Meisheng Yi, Yunhan Hong

Abstract read
In one paragraph

Article in Stem cells and development, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Characterizing Marine Medaka (Animals : an open access journal from MDPI · 2024
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  12. Nanos3 gene targeting in medaka ES cells.International journal of biological sciences · 2013
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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

6 authors at 3 institutions in 2 countries.

Ni HongDepartment of Biological Sciences, National University of Singapore, Singapore.
Songlin Chen
Ruowen Ge
Jianxing Song
Meisheng Yi
Yunhan Hong
National University of Singapore · SGChinese Academy of Fishery Sciences · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimera formation is a standard test for pluripotency of stem cells in vivo. Interspecific chimera formation between distantly related organisms offers also an attractive approach for propagating endangered species. Parameters influencing interspecies chimera formation have remained poorly elucidated. Here, we report interordinal chimera formation between medaka and zebrafish, which separated ∼320 million years ago and exhibit a more than 2-fold difference in developmental speed. We show that, on transplantation into zebrafish blastulae, both noncultivated blastomeres and long-term cultivated embryonic stem (ES) cells of medaka adopted the zebrafish developmental program and differentiated into physiologically functional cell types including pigment cells, blood cells, and cardiomyocytes. We also show that medaka ES cells express differentiation gene markers during chimeric embryogenesis. Therefore, the evolutionary distance and different embryogenesis speeds do not produce donor-host incompatibility to compromise chimera formation between medaka and zebrafish, and molecular markers are valuable for analyzing lineage commitment and cell differentiation in interspecific chimeric embryos.

Indexed as

Cell DifferentiationAnimalsAntigens, DifferentiationBlastomeresCell SurvivalChimeraEmbryo Culture TechniquesEmbryonic DevelopmentEmbryonic Stem CellsEmbryo, NonmammalianGene ExpressionOryziasZebrafishAntigens, Differentiation

Identifiers

PMID22204449
PMCPMC3411366
OpenAlexW2094913842

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.