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Stress-induced duplex DNA destabilization in scaffold/matrix attachment regions
C Benham1, T Kohwi-Shigematsu, J Bode
1Department of Biomathematical Sciences, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA.
Journal of Molecular Biology
|February 12, 1998
Summary
Structural elements called scaffold/matrix attachment regions (S/MARs) in eukaryotic genomes possess stress-induced base-unpairing regions. Computational analysis reveals these regions are key to S/MAR function and genome organization.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Scaffold/matrix attachment regions (S/MARs) are eukaryotic DNA elements crucial for genome organization and function.
- S/MARs lack a clear consensus sequence, suggesting structural rather than sequence-specific characteristics define their activity.
- Previous research identified ubiquitous S/MAR binding proteins but no unique sequence motifs.
Purpose of the Study:
- To computationally analyze S/MARs to identify defining structural characteristics.
- To investigate the role of stress-induced base-unpairing regions (BURs) in S/MAR function.
- To assess the potential of computational methods for predicting genome domain divisions and regulatory sequences.
Main Methods:
- Computational analysis of S/MAR sequences using a statistical mechanical procedure to calculate stress-induced DNA destabilization (SIDD) profiles.
- Partitioning of superhelical deformation into strand separation, twisting within denatured regions, and residual superhelicity.
- Analysis of S/MAR elements from gene domain borders, centromeres, and enhancer regions.
Main Results:
- S/MARs exhibit a specific design characterized by stress-induced base-unpairing regions (BURs).
- BURs display evenly spaced destabilized sites, enabling single-strandedness at sufficient superhelicity.
- Computational findings align with previous in vitro chemical reactivity studies.
Conclusions:
- S/MAR activity is strongly linked to structural attributes, particularly BURs.
- Computational analysis of SIDD profiles can predict genome domain divisions.
- This approach can help locate cis-regulatory sequences within the genome.