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Case study reveals transcription factor (TF) modules, dynamic TF binding and an expanded role for cell cycle regulators Mapping the DNA Damage Response
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Overview Experimental factors and selection –Multiple criteria used ChIP-on-chip –Differential binding analysis Gene expression of TF-deletion mutants –Clustering analysis –Deletion-buffering analysis Data integration and pathway reconstruction
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Overview of the approach
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Growth phenotype in MMS: mutants that display relative growth inhibition
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Overview of the approach
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Transcription factors that regulate DNA damage response Activated regulatory network
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Transcription factors that regulate DNA damage response TF knockout “Deletion-buffered” Activated regulatory network
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Truncated Product Method (TPM): determine condition dependent binding
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ChIP-chip of 30 TFs before and after DNA damage YPDMMS +/-MMS TPM
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ChIP-chip Data Summary Workman CT, Mak HC, McCuine S, Tagne JB, Agarwal M, Ozier O, Begley TJ, Samson LD, Ideker T. A systems approach to mapping DNA damage response pathways. Science. 2006 May 19;312(5776):1054-9. TFs may regulate different genes (bind different promoters) under different conditions.
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Promoter regions analysis ChIP-chip and DNA-Motif
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TF-Knockout expression profiles: (look much like wild-type)
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Environmental “epistasis analysis”: (deletion-buffering)
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Deletion-buffering analysis Bayesian Score
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Deletion-buffering examples
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Sensitive TFs are required for a greater number of damage responsive genes
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Integrated model (regulatory paths explaining buffered genes)
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Integrated direct and indirect regulatory pathways (chIP-chip, prot-prot) that explain deletion- buffering relationships Workman CT, Mak HC, McCuine S, Tagne JB, Agarwal M, Ozier O, Begley TJ, Samson LD, Ideker T. A systems approach to mapping DNA damage response pathways. Science. 2006 May 19;312(5776):1054-9.
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Summary “Sensitive” TFs control more of the DNA damage response than non-sensitive TFs Regulatory networks are highly interconnected Transcriptional regulation of important DNA damage checkpoint kinases are observed Measuring differential TF-binding is difficult
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RNR Genes are repressed by Rfx1p
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Pathway reconstruction
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