Abstract
Perturbation and time-course data sets, in combination with computational approaches, can be used to infer transcriptional regulatory networks which ultimately govern the developmental pathways and responses of cells. Here, we individually knocked down the four transcription factors PU.1, IRF8, MYB and SP1 in the human monocyte leukemia THP-1 cell line and profiled the genome-wide transcriptional response of individual transcription starting sites using deep sequencing based Cap Analysis of Gene Expression. From the proximal promoter regions of the responding transcription starting sites, we derived de novo binding-site motifs, characterized their biological function and constructed a network. We found a previously described composite motif for PU.1 and IRF8 that explains the overlapping set of transcriptional responses upon knockdown of either factor.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Binding Sites
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Cell Line, Tumor
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Gene Expression Profiling
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Gene Knockdown Techniques
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Gene Regulatory Networks*
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Humans
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Interferon Regulatory Factors / antagonists & inhibitors
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Interferon Regulatory Factors / genetics
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Interferon Regulatory Factors / metabolism
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Oligonucleotide Array Sequence Analysis
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Promoter Regions, Genetic*
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Proto-Oncogene Proteins / antagonists & inhibitors
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Proto-Oncogene Proteins / genetics
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Proto-Oncogene Proteins / metabolism
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RNA, Small Interfering
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Sequence Analysis, DNA
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Trans-Activators / antagonists & inhibitors
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Trans-Activators / genetics
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Trans-Activators / metabolism
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Transcription Factors / metabolism*
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Transcription, Genetic*
Substances
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Interferon Regulatory Factors
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Proto-Oncogene Proteins
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RNA, Small Interfering
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Trans-Activators
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Transcription Factors
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interferon regulatory factor-8
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proto-oncogene protein Spi-1