Predicting nucleosome positioning using statistical equilibrium models in budding yeast.

Hungyo Kharerin, Lu Bai
Author Information
  1. Hungyo Kharerin: Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA; Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA, USA. Electronic address: kzh359@psu.edu.
  2. Lu Bai: Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA; Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA, USA; Department of Physics, The Pennsylvania State University, University Park, PA, USA. Electronic address: lub15@psu.edu.

Abstract

We present a protocol using thermodynamic models to predict nucleosome positioning with transcription factors (TFs) and chromatin remodelers. We describe step-by-step approaches to annotate genome-wide nucleosome-depleted regions (NDRs), compute nucleosome and TF occupancy, optimize parameters, and evaluate model performance. These models identify nucleosome-displacing TFs in the budding yeast genome and predict the locations and sizes of NDRs solely based on DNA sequence and TF motifs. The protocol can be applied to all organisms with prior knowledge of TF motifs. For complete details on the use and execution of this protocol, please refer to Kharerin and Bai (2021)..

Keywords

Grants

  1. R35 GM139654/NIGMS NIH HHS

MeSH Term

Nucleosomes
Saccharomycetales
Chromatin
Transcription Factors
Base Sequence

Chemicals

Nucleosomes
Chromatin
Transcription Factors

Word Cloud

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