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Status |
Public on Apr 01, 2007 |
Title |
Genetic reconstruction of a functional transcriptional regulatory network |
Organism |
Saccharomyces cerevisiae |
Experiment type |
Expression profiling by array
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Summary |
Although global analyses of transcription factor binding provide one view of potential transcriptional regulatory networks, regulation also occurs at levels distinct from transcription factor binding. Here, we use a genetic approach to identify targets of transcription factors in yeast and reconstruct a functional regulatory network. First, we profiled transcriptional responses in S. cerevisiae strains with individual deletions of 263 transcription factors. Then we used directed-weighted graph modeling and regulatory epistasis analysis to identify indirect regulatory relationships between these transcription factors, and from this we reconstructed a functional transcriptional regulatory network. The enrichment of promoter motifs and Gene Ontology annotations provide insight into the biological functions of the transcription factors.
Data values are X scores and corresponding p-values derived using an error model. Keywords: X scores and corresponding p-values derived using an error model
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Overall design |
We profiled transcriptional responses upon the individual deletion of more than 260 TFs. We used a directed-weighted graph modelling approach and regulatory epistasis analysis to identify indirect regulatory relationships, and thus constructed a refined, functional transcriptional regulatory network.
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Contributor(s) |
Hu Z, Killion PJ, Iyer VR |
Citation(s) |
17417638 |
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Submission date |
Apr 11, 2006 |
Last update date |
Jul 31, 2013 |
Contact name |
Vishy Iyer |
E-mail(s) |
iyerlab@gmail.com
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Phone |
5122327833
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Organization name |
University of Texas at Austin
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Department |
Molecular Biosciences
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Street address |
2500 Speedway Dr. MBB 3.212
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City |
Austin |
State/province |
TX |
ZIP/Postal code |
78712 |
Country |
USA |
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Platforms (1) |
GPL3588 |
UT Austin Iyer yeast 6.4k ORF-only cDNA platform |
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Samples (269)
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Relations |
BioProject |
PRJNA95297 |