Cellular signaling response pathways often exhibit a bow-tie topology [1,2]: multiple upstream stress signals converge on a single shared transcription factor, which is thought to induce different downstream gene expression programs (Figure 1A). However, if several different signals activate the same transcription factor, can each signal then induce a specific gene expression response? A growing body of literature supports a temporal coding theory where information about environmental signals can be encoded, at least partially, in the temporal dynamics of the shared transcription factor [1,2]. For example, in the case of the budding yeast transcription factor Msn2, different stresses induce distinct Msn2 activation dynamics: Msn2 shows pulsatile nuclear activation with dose-dependent frequency under glucose limitation, but sustained nuclear activation with dose-dependent amplitude under oxidative stress [3]. These dynamic patterns can then lead to differential gene expression responses [3-5], but it is not known how much specificity can be obtained. Thus, a major question of this temporal coding theory is how many gene response programs or cellular functions can be robustly encoded by dynamic control of a single transcription factor. Here we provide the first direct evidence that, simply by regulating the activation dynamics of a single transcription factor, it is possible to preferentially induce four distinct gene expression programs.
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Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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Site | Modification | Modifier | Source | Reference |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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Evidence ID | Analyze ID | File | Description |
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