A comparative analysis of genome-wide chromatin immunoprecipitation data for mammalian transcription factors.
Genome-wide location analysis (ChIP-chip, ChIP-PET) is a powerful technique to study mammalian transcriptional regulation. In order to obtain a basic understanding of the location data generated for mammalian transcription factors and potential issues in their analysis, we conducted a comparative study of eight independent ChIP experiments involving six different transcription factors in human and mouse. Our cross-study comparisons, to the best of our knowledge the first to analyze multiple datasets, revealed the importance of carefully chosen genomic controls in the de novo identification of key transcription factor binding motifs, raised issues about the interpretation of ubiquitously occurring sequence motifs, and demonstrated the clustering tendency of protein-binding regions for certain transcription factors.
Ji
Hongkai
H
Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, USA.
Vokes
Steven A
SA
Wong
Wing H
WH
D000818:Animals; D001483:Base Sequence; D001665:Binding Sites; D047369:Chromatin Immunoprecipitation; D017124:Conserved Sequence; D004247:DNA / Q000737:chemistry / Q000378:metabolism; D020862:GC Rich Sequence; D023281:Genomics / Q000379:methods*; D006801:Humans; D051379:Mice; D020411:Oligonucleotide Array Sequence Analysis; D050436:Regulatory Elements, Transcriptional; D014157:Transcription Factors / Q000378:metabolism*
D014157:Transcription Factors; D004247:DNA