Literature DB >> 17646349

A physical model for tiling array analysis.

Ho-Ryun Chung1, Dennis Kostka, Martin Vingron.   

Abstract

MOTIVATION: Chromatin immunoprecipitation (ChIP) is a powerful experimental approach to identify in vivo binding sites of sequence-specific transcription factors (TFs). These experiments are designed to specifically enrich DNA fragments that are bound to the TF. Tiling arrays have become more and more popular for the identification of these DNA fragments. However, many studies showed that only a fraction of the identified DNA fragments contains bona fide binding sites for the TF, suggesting that indirect binding mechanisms play a very important role. We explored the possibility that the lack of binding sites can also be explained by problems in identifying ChIP-enriched DNA fragments from the measured intensities.
RESULTS: We derived a physical model that explains some (but not all) variation of the measured probe intensities of Affymetrix tiling arrays. We used the physical model to estimate the probe-specific behavior and corrected for it. Subsequently, we developed a method to identify ChIP-enriched DNA fragments. We termed it physical model for tiling array analysis (PMT). We applied PMT to the data of ChIP-chip experiments interrogating chromosome 21 and 22 of the human genome for binding of the TFs MYC, SP1 and P53. Almost all regions recovered by PMT showed evidence for sequence-specific binding of the TFs.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17646349     DOI: 10.1093/bioinformatics/btm167

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Why are we where we are? Understanding replication origins and initiation sites in eukaryotes using ChIP-approaches.

Authors:  Aloys Schepers; Peer Papior
Journal:  Chromosome Res       Date:  2010-01       Impact factor: 5.239

2.  NTAP: for NimbleGen tiling array ChIP-chip data analysis.

Authors:  Kun He; Xueyong Li; Junli Zhou; Xing-Wang Deng; Hongyu Zhao; Jingchu Luo
Journal:  Bioinformatics       Date:  2009-05-25       Impact factor: 6.937

3.  Comparison of sequence-dependent tiling array normalization approaches.

Authors:  Ho-Ryun Chung; Martin Vingron
Journal:  BMC Bioinformatics       Date:  2009-06-30       Impact factor: 3.169

4.  Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data.

Authors:  Michael Seifert; Jens Keilwagen; Marc Strickert; Ivo Grosse
Journal:  Bioinformatics       Date:  2009-04-28       Impact factor: 6.937

5.  Facilitating functional annotation of chicken microarray data.

Authors:  Teresia J Buza; Ranjit Kumar; Cathy R Gresham; Shane C Burgess; Fiona M McCarthy
Journal:  BMC Bioinformatics       Date:  2009-10-08       Impact factor: 3.169

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.