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Repressing Gene Transcription by Redirecting Cellular Machinery with Chemical Epigenetic Modifiers
Published on: September 20, 2018
Chromatin states modify network motifs contributing to cell-specific functions.
Hongying Zhao1, Tingting Liu1, Ling Liu1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Epigenetic modifications and chromatin states are linked to gene regulatory network motifs, particularly feedforward loops (FFLs). These cell-specific FFLs control distinct cellular functions and gene expression patterns.
Area of Science:
- Genomics
- Epigenetics
- Systems Biology
Background:
- Epigenetic modifications regulate crucial biological processes like cell proliferation and apoptosis by altering chromatin conformation and gene expression.
- Network motifs, recurring patterns in biological networks, play significant roles in cellular regulation.
Purpose of the Study:
- To investigate the association between chromatin states and network motifs in gene regulatory networks.
- To understand how chromatin states influence the function and cell-specificity of network motifs, especially feedforward loops (FFLs).
Main Methods:
- Assembled chromatin state-modified regulatory networks using 269 ChIP-seq datasets and chromatin state data from four cell types.
- Analyzed the association between various chromatin states and network motifs, with a focus on FFLs.
- Compared FFLs in cancerous/stem and primary cell lines to identify alterations.
Main Results:
- Found significant associations between chromatin states and network motifs, particularly FFLs.
- Demonstrated that distinct chromatin state compositions within FFLs affect target gene expression levels and translational control.
- Revealed that chromatin state-modified FFLs are highly cell-specific and dictate cell-selective functions, exemplified by embryonic stem cell-specific FFLs involved in developmental gene regulation.
- Identified specific chromatin state alterations in cancerous/stem cells compared to primary cells that, along with motif structural changes, contribute to functional differences.
Conclusions:
- Dynamic epigenetic modifications are crucial for network motifs to control cell-specific functions.
- Chromatin state-modified FFLs are key determinants of cell identity and function.
- Identifying specific chromatin alterations in FFLs can aid in prioritizing candidate genes for further study and understanding cell-to-cell functional divergence.
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