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Using ChIPMotifs for De Novo Motif Discovery of OCT4 and ZNF263 Based on ChIP-Based High-Throughput Experiments

  • Brian A. Kennedy
  • Xun Lan
  • Tim H.-M. Huang
  • Peggy J. Farnham
  • Victor X. JinEmail author
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 802)

Abstract

DNA motifs are short sequences varying from 6 to 25 bp and can be highly variable and degenerated. One major approach for predicting transcription factor (TF) binding is using position weight matrix (PWM) to represent information content of regulatory sites; however, when used as the sole means of identifying binding sites suffers from the limited amount of training data available and a high rate of false-positive predictions. ChIPMotifs program is a de novo motif finding tool developed for ChIP-based high-throughput data, and W-ChIPMotifs is a Web application tool for ChIPMotifs. It composes various ab initio motif discovery tools such as MEME, MaMF, Weeder and optimizes the significance of the detected motifs by using bootstrap re-sampling error estimation and a Fisher test. Using these techniques, we determined a PWM for OCT4 which is similar to canonical OCT4 consensus sequence. In a separate study, we also use de novo motif discovery to suggest that ZNF263 binds to a 24-nt site that differs from the motif predicted by the zinc finger code in several positions.

Key words

Motif ChIP Position weight matrix OCT4 ZNF263 

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Brian A. Kennedy
    • 1
  • Xun Lan
    • 1
  • Tim H.-M. Huang
    • 2
  • Peggy J. Farnham
    • 3
  • Victor X. Jin
    • 1
    Email author
  1. 1.Department of Biomedical InformaticsThe Ohio State UniversityColumbusUSA
  2. 2.Department of Molecular Virology, Immunology & Medical GeneticsThe Ohio State UniversityColumbusUSA
  3. 3.Department of Biochemistry & Molecular Biology, Norris Comprehensive Cancer CenterUniversity of Southern CaliforniaLos AngelesUSA

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