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Repressing Gene Transcription by Redirecting Cellular Machinery with Chemical Epigenetic Modifiers
Published on: September 20, 2018
Epigenetic control of transposable elements and cell fate decision
Jiang-Ping He1,2, Jie-Kai Chen1,2
1Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou 510530, China.
Transposable elements (TEs) are key to genome regulation and evolution. Epigenetic mechanisms control TEs, influencing gene expression and cell fate determination during development.
Area of Science:
- Genomics
- Epigenetics
- Molecular Biology
Background:
- Transposable elements (TEs) are abundant in mammalian genomes, posing risks to stability but offering regulatory potential.
- A balance between TE benefits and risks is managed by epigenetic regulation.
- TEs contribute to gene regulation, chromatin structure, and evolutionary processes.
Purpose of the Study:
- To review the role of epigenetic modifications in controlling transposable elements (TEs).
- To explore TE functions in gene expression regulation and cell fate determination.
- To discuss challenges and strategies in computational analysis of TEs.
Main Methods:
- Review of literature on epigenetic modifications (H3K9me3, DNA methylation, H3K4me1, H3K27ac) and TEs.
- Analysis of TE functions as regulatory sequences and in chromosomal conformation.
- Examination of TE impact on cell fate determination in vivo and in vitro.
Main Results:
- Heterochromatin marks (H3K9me3, DNA methylation) silence TEs, while active marks (H3K4me1, H3K27ac) can activate them.
- TEs serve as transcription factor binding sites and anchors for chromosomal conformation, regulating gene expression.
- TEs influence cell fate determination in embryonic development and cell transitions.
Conclusions:
- Epigenetic mechanisms are crucial for balancing the dual role of TEs in mammalian genomes.
- Understanding TE regulation by epigenetics is vital for gene expression and cell fate studies.
- Advances in computational and experimental methods are improving TEs analysis and functional exploration.
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