Biological systems have developed with a strong dependence on transition metals for accomplishing a number of biochemical reactions. Iron, copper, manganese and zinc are essential for virtually all forms of life with their unique chemistries contributing to a variety of physiological processes including oxygen transport, generation of cellular energy and protein structure and function. Properties of these metals (and to a lesser extent nickel and cobalt) that make them so essential to life also make them extremely cytotoxic in many cases through the formation of damaging oxygen radicals via Fenton chemistry. While life has evolved to exploit the chemistries of transition metals to drive physiological reactions, systems have concomitantly evolved to protect against the damaging effects of these same metals. Saccharomyces cerevisiae is a valuable tool for studying metal homeostasis with many of the genes identified thus far having homologs in higher eukaryotes including humans. Using high density arrays, we have screened a haploid S. cerevisiae deletion set containing 4786 non-essential gene deletions for strains sensitive to each of Fe, Cu, Mn, Ni, Zn and Co and then integrated the six screens using cluster analysis to identify pathways that are unique to individual metals and others with function shared between metals. Genes with no previous implication in metal homeostasis were found to contribute to sensitivity to each metal. Significant overlap was observed between the strains that were sensitive to Mn, Ni, Zn and Co with many of these strains lacking genes for the high affinity Fe transport pathway and genes involved in vacuolar transport and acidification. The results from six genome-wide metal tolerance screens show that there is some commonality between the cellular defenses against the toxicity of Mn, Ni, Zn and Co with Fe and Cu requiring different systems. Additionally, potential new factors been identified that function in tolerance to each of the six metals.
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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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