⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

March 19, 2012Plant MethodsOpen Access

In planta assays involving epigenetically silenced genes reveal inhibition of cytosine methylation by genistein

Sachiko Arase Megumi Kasai Akira Kanazawa

View Full Paper

Ask AI

Bookmark

Share

Abstract

Our assay systems allowed us to assess the inhibition of cytosine methylation, in particular of maintenance of methylation, by compounds in plant cells. These results suggest a novel role of flavonoids in plant cells and that genistein is useful for modifying the epigenetic state of plant genomes.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Arase et al. (2012) studied this question.

synapsesocial.com/papers/69d8d4cc2c87b79b92d17d24 https://doi.org/10.1186/1746-4811-8-10

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1EDTA-Audit: a taxonomy-aware post-processing framework for quality control of EDTA-based transposable element annotationPlant Methods · Tue,
2HSIFreezeNet: a lightweight random forest assisted framework for hyperspectral segmentation of camelina freezing damagePlant Methods · Mon,
3Source-resolved decomposition of coding–noncoding ambiguity in a non-model plant full-length transcriptomePlant Methods · Sun,
4Ion mobility mass spectrometry imaging for in situ characterisation of phytohormone changes within Pseudomonas syringae-infected Arabidopsis thalianaPlant Methods · Mon,
5STAMPformer: spectral-prior-guided multi-view attention learning for hyperspectral prediction of continuous frost damage severity in field-grown tea plantsPlant Methods · Sun,

More from Plant Methods

Mechanism and parameter optimization method for ordered vibration conveying of maize earsTue,
Establishment of a seedling-based regeneration system for Taiwan oil millet (Eccoilopus formosanus) to support crop domestication and C4 biologyMon,
A novel phenotyping approach for reconciling precision and variance in disease severity estimates from high-resolution imagingMon,
An integrated AI framework for growth stage-aware corn leaf disease identification and environmental impact predictionWed,
GenoBridge: a sample-size-adaptive machine-learning pipeline for genomic prediction and predictability-gated mixed-model GWASTue,