Evidence map›Paper›PMID 32670620›Full record

ArticleEnvironmental epigenetics2020

DNA methylation reprogramming in medaka fish, a promising animal model for environmental epigenetics research.

Xuegeng Wang, Ramji K Bhandari

Open access · goldAbstract read
In one paragraph

Article in Environmental epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 50 citations in OpenAlex.

  1. Epigenetic editing of marine medaka (Zoological research · 2026
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  14. Epigenetic mechanisms in sex determination and in the evolutionary transitions between sexual systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
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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

2 authors at 1 institution in 1 country.

Xuegeng WangDepartment of Biology, University of North Carolina Greensboro, Greensboro, NC, 27412, USA.
Ramji K BhandariDepartment of Biology, University of North Carolina Greensboro, Greensboro, NC, 27412, USA.
University of North Carolina at Greensboro · US

Funding

Germline transmission of epigenetic alterations to offspring induced by bisphenol A exposureR21ES027123 · NIEHS · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI BHANDARI, RAMJI KUMAR · 2017 to 2019
$490k
Correction of endocrine disruptor-induced transgenerational epimutations by CRISPR-dCas9R21HD098621 · NICHD · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI BHANDARI, RAMJI KUMAR · 2020 to 2021
$400k
6 · The paper itself

Abstract

DNA methylation is a major epigenetic modification that undergoes dramatic changes in two epigenetic reprogramming windows during development: first in preimplantation embryos and second in primordial germ cell (PGC) specification. In both windows, DNA methylation patterns are reprogrammed genome-wide, and the majority of inherited methylation marks are erased, generating cells with broad developmental potential. Recent studies reported that the reprogramming of genome methylation in medaka is similar to human and mouse, suggesting that medaka may serve as a suitable biomedical model for comparative studies focused on the epigenetic and transgenerational inheritance of phenotypic traits. In this mini review, we will discuss how somatic and germ cells in post-fertilization stage embryos are epigenetically reprogrammed in mammals and fishes with a particular focus on DNA methylation dynamics.

Indexed as

DNA methylationembryoepigenetic reprogrammingmedakaprimordial germ cells

Identifiers

PMID32670620
PMCPMC7340188
OpenAlexW3041158012

What OpenQuestion 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 OpenQuestion graph.