The Rho family GTPase Cdc42 is a critical regulator of cellular polarization from yeast to man. An analysis of its function in T cell activation is therefore of interest. This analysis poses two substantial challenges, similar to the analysis of many other critical T cell signaling intermediates. First, Cdc42 is required for development and cell survival, necessitating short-term manipulation of its activity. Second, Cdc42 is likely involved in multiple signaling pathways, requiring approaches to distinguish multiple roles. To address these challenges, we first determined and quantified spatio-temporal patterns of Cdc42 activity using live cell video fluorescence microscopy. This generates hypotheses at which times and locations Cdc42 might play possibly distinct roles. Second and as the focus of this manuscript, we employed protein transduction to manipulate Cdc42 activity for the generation of causality. Protein transduction allows such manipulation to be short-term, quantitative, and with multiple reagents. Here, we characterize uptake, retention, and subcellular distribution of protein transduction reagents. We describe how a more quantitative single cell analysis of Cdc42 activity provides superior distinction between experimental conditions. And we show how we have used dose responses of the protein transduction reagents to minimize side effects while retaining efficacy. We suggest that our strategy is an important complement to more established techniques to study protein function in primary T cells, in particular in the investigation of signaling intermediates that are essential for cell survival and regulate multiple aspects of T cell activation.
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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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