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Repressing Gene Transcription by Redirecting Cellular Machinery with Chemical Epigenetic Modifiers
Published on: September 20, 2018
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Deciphering the mechanical code of the genome and epigenome
Aakash Basu1,2, Dmitriy G Bobrovnikov3, Basilio Cieza4
1Department of Biosciences, Durham University, Durham, UK. aakash.basu@durham.ac.uk.
Nature Structural & Molecular Biology
|December 5, 2022
Summary
Scientists decoded DNA mechanics, revealing how DNA sequence and methylation influence its flexibility. This understanding, aided by loop-seq technology, helps predict how DNA encodes regulatory information.
Area of Science:
- Molecular Biology
- Biophysics
- Genomics
Background:
- DNA's mechanical and structural properties influence diverse DNA-deforming processes.
- Understanding the mechanical code, which links DNA properties to sequence and epigenetic modifications, has been hindered by a lack of high-throughput experimental methods.
Purpose of the Study:
- To comprehensively characterize the DNA mechanical code.
- To quantitatively establish how DNA sequence and methylation impact DNA bendability.
- To develop and validate a physical model for DNA bendability.
Main Methods:
- Utilized high-throughput loop-seq measurements to assess DNA bendability.
- Quantitatively analyzed the impact of dinucleotides, tetranucleotides, and methylated CpG on DNA bendability.
- Developed a physical model based on experimental measurements.
Main Results:
- Established quantitative relationships between DNA sequence, methylation, and bendability.
- Validated the physical model using genomic sequences from mouse transcription start and CTCF-binding sites.
- Demonstrated that sequence and epigenetic modifications mechanically encode regulatory information.
Conclusions:
- The study presents a comprehensive characterization of the DNA mechanical code.
- The developed physical model accurately predicts DNA bendability based on sequence and methylation.
- This work provides insights into how DNA mechanically encodes regulatory information in various genomic contexts.
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