Title :
Global dynamics of nucleosome arrays: influence of variant histone H2A.Z
Author :
Wang, Li ; Ramaswamy, Amutha ; Ioshikhes, Ilya
Author_Institution :
Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
Abstract :
Nucleosomal arrays are one of the fundamental levels of chromatin organization. They often occur in the gene promoter areas, thus being important for transcription regulation. Investigating the effect of variant histone H2A.Z over the dynamic structure of single nucleosomes and their arrays is important for understanding the transcription within chromatin. Recently we highlighted the influence of histone variants over the functional dynamics of single nucleosome. The present work further analyzes the higher order structures of the nucleosome arrays (dimer, trimer and tetramer) with regular histones as well as with H2A.Z variant. The analysis reveals that the modeled nucleosome dimer with both histone types exhibits a completely relaxed motion with respect to the linker DNA. The dimer also possesses the symmetric dynamics as of the monomeric nucleosome more pronounced in the dimer of variant histones. The trimer expresses larger amplitude of dynamics either by keeping the central nucleosome as a rigid one or the edged nucleosome as a rigid domain in the global modes. The tetramer expresses a symmetric coupled dynamics between the two non-adjacent nucleosomes, consistent with the collective motion of the trimer in the second slowest mode. Like those of the dimer, the dynamics of the trimer and tetramer are considerably enhanced by the presence of variant histone H2A.Z as follows from the larger fluctuations in the respective conformations.
Keywords :
DNA; genetics; molecular biophysics; physiological models; proteins; DNA; chromatin organization; dimer; fluctuations; gene promoter areas; global dynamics; nucleosome arrays; symmetric dynamics; tetramer; transcription regulation; trimer; variant histone H2A.Z; Biomedical informatics; DNA; Eigenvalues and eigenfunctions; Fluctuations; Frequency; Motion analysis; Potential energy; Predictive models; Sequences; Shape;
Conference_Titel :
Bioinformatics and Bioengineering, 2005. BIBE 2005. Fifth IEEE Symposium on
Print_ISBN :
0-7695-2476-1
DOI :
10.1109/BIBE.2005.32