ReviewDevelopmental dynamics : an official publication of the American Association of Anatomists2026
Bridging maternal effects and epitranscriptomics: A novel perspective in developmental biology.
Review in Developmental dynamics : an official publication of the American Association of Anatomists, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- How Epitranscriptomic Machinery Senses Environmental Cues.Advanced biology · 2026Review
- Editorial highlights.Developmental dynamics : an official publication of the American Association of Anatomists · 2026Article
- 5-Methylcytidine RNA Epitranscriptomics in Women's Health and Disease: Mechanisms and Clinical Implications.Cells · 2026Review
- RNA Aptamers and Epitranscriptomics: Charting Unexplored Territories in RNA Biology.Molecular diagnosis & therapy · 2026Review
- Epitranscriptomic control of telomere maintenance.Molecular biology reports · 2026Review
- Epitranscriptomics as a Candidate Universal Modulator of Dormancy Transitions.Ecology and evolution · 2026Review
- Hyperestrogenic imprinting and developmental origins of endometriosis and adenomyosis.Human reproduction open · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maternal effects, encompassing both genetic (maternally expressed gene products) and non-genetic (maternal state) influences, are powerful determinants of offspring phenotype, yet their RNA-level mechanisms remain incompletely resolved. In parallel, epitranscriptomics, an emerging field centered on chemical modifications to RNA, has revealed new layers of gene regulation with implications for cell fate, plasticity, and response to environmental cues. In this perspective article, a conceptual link is proposed between maternal effects and epitranscriptomic mechanisms, focusing on how maternal environments may shape offspring phenotypes through RNA modifications. Evidence is examined from diverse systems, including maternal deposition of modified RNAs, environmental modulation of RNA-modifying enzymes, and early developmental windows sensitive to maternal inputs. A clear distinction is drawn between placenta-mediated pathways that reprogram trophoblast/placental epitranscriptomics and direct fetal-tissue routes that act within developing organs. Although causal demonstrations are still emerging, convergent observations indicate that maternal environments can tune the offspring epitranscriptome with lasting phenotypic consequences. To articulate this emerging connection, the concept of "maternal RNA imprinting" is proposed, the idea that offspring development is shaped by maternal cues via targeted RNA modifications. This article aims not only to synthesize emerging insights across fields but also to stimulate interdisciplinary discussion and encourage investigation into the unexplored intersections of maternal biology and RNA regulation.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.