Taking into account nucleosomes for predicting gene expression

The eukaryotic genome is organized in a chain of nucleosomes that consist of 145-147bp of DNA wrapped around a histone octamer protein core. Binding of transcription factors (TF) to nucleosomal DNA is frequently impeded, which makes it a challenging task to calculate TF occupancy at a given regulato...

Full description

Saved in:
Bibliographic Details
Main Authors: Teif, Vladimir (Author) , Erdel, Fabian (Author) , Beshnova, Daria A (Author) , Vainshtein, Yevhen (Author) , Mallm, Jan-Philipp (Author) , Rippe, Karsten (Author)
Format: Article (Journal)
Language:English
Published: 21 March 2013
In: Methods
Year: 2013, Volume: 62, Issue: 1, Pages: 26-38
ISSN:1095-9130
DOI:10.1016/j.ymeth.2013.03.011
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.ymeth.2013.03.011
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S1046202313000807
Get full text
Author Notes:Vladimir B. Teif, Fabian Erdel, Daria A. Beshnova, Yevhen Vainshtein, Jan-Philipp Mallm, Karsten Rippe
Description
Summary:The eukaryotic genome is organized in a chain of nucleosomes that consist of 145-147bp of DNA wrapped around a histone octamer protein core. Binding of transcription factors (TF) to nucleosomal DNA is frequently impeded, which makes it a challenging task to calculate TF occupancy at a given regulatory genomic site for predicting gene expression. Here, we review methods to calculate TF binding to DNA in the presence of nucleosomes. The main theoretical problems are (i) the computation speed that is becoming a bottleneck when partial unwrapping of DNA from the nucleosome is considered, (ii) the perturbation of the binding equilibrium by the activity of ATP-dependent chromatin remodelers, which translocate nucleosomes along the DNA, and (iii) the model parameterization from high-throughput sequencing data and fluorescence microscopy experiments in living cells. We discuss strategies that address these issues to efficiently compute transcription factor binding in chromatin.
Item Description:Gesehen am 03.02.2022
Physical Description:Online Resource
ISSN:1095-9130
DOI:10.1016/j.ymeth.2013.03.011