Understanding how genes are regulated at the molecular level is a central challenge in modern biology. This intricate process is driven by the interplay between transcription factors, DNA regulatory regions, and epigenetic modifications.
In a recent study published in Nature Genetics, scientists from EMBL Rome described the development a modular epigenome editing platform—a system that allows researchers to program epigenetic modifications at any location in the genome. This innovative system enabled the team to study the impact of each chromatin modification on transcription.
Previous studies have mapped the distribution of chromatin marks in healthy and diseased cell types and correlated them with gene expression data. However, determining the causal relationship between chromatin marks and gene regulation has been a significant challenge due to the complexity of factors involved.
The new modular epigenome editing system, based on the CRISPR technology, allows researchers to precisely program nine biologically important chromatin marks at any desired region in the genome. This precise perturbation enabled them to carefully dissect the cause-and-effect relationships between chromatin marks and their biological effects.
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The researchers discovered a new role for H3K4me3, a chromatin mark previously believed to be a result of transcription. Their data suggest that H3K4me3 can actually increase transcription by itself when artificially added to specific DNA locations. This unexpected finding highlights the complex regulatory network governing gene expression levels in cells.
“Our modular epigenetic editing toolkit constitutes a new experimental approach to dissect the reciprocal relationships between the genome and epigenome,” said senior author Jamie Hackett. “The system could be used in the future to more precisely understand the importance of epigenomic changes in influencing gene activity during development and in human disease. On the other hand, the technology also unlocks the ability to program desired gene expression levels in a highly tunable manner. This is an exciting avenue for precision health applications and may prove useful in disease settings.”