Functional profiling of the Saccharomyces cerevisiae genome in the study of mechanisms of metal and metalloid toxicity
By W. Jo. 2008
580 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e835d6a529c39b6d47a63ae888d523add15a39e3
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Citations in the corpus
- Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality (2008, methodology): “To confirm the centrality-lethality rule in the tested networks we used the results of a systematic gene deletion screen [25] in which 1,105 yeast genes were found to be essential for growth on rich glucose media.”
- Systematic Functional Annotation and Visualization of Biological Networks (2016, background): “In a chemical genomic screen, a genome-wide collection of yeast mutants is grown in the presence of a chemical compound and the relative fitness of each mutant is measured with respect to an untreated control (Giaever et al., 2002).”
- DEG 10, an update of the database of essential genes that includes both protein-coding genes and noncoding genomic elements (2013, background): “With Saccharomyces cerevisiae being the first eukaryote to have all of its single-gene deletion mutants generated (37), DEG 10 has added essential genes of Schizosaccharomyces pombe, which is the second eukaryote that has a saturated gene deletion study (38).”
- Quantitative phenotyping via deep barcode sequencing. (2009, methodology): “To complement the Bar-seq assay and to support its routine use, we assayed the commercially available version of the heterozygote yeast deletion collection pool (the ‘‘Invitrogen 6000’’ pool) (Giaever et al. 2002) by Bar-seq (see Supplemental Methods).”
- Mapping pathways and phenotypes by systematic gene overexpression. (2006, methodology): “The genetic accessibility of the budding yeast S. cerevisiae has allowed the development of genome-wide loss-of-function mutant collections , including gene deletion (Giaever et al., 2002) and titratable promoter alleles (Mnaimneh et al., 2004), for systematic scrutiny of gene function.”
- Combining Natural Sequence Variation with High Throughput Mutational Data to Reveal Protein Interaction Sites (2015, unknown): “cerevisiae genes are essential for growth on rich glucose medium [39], with many of the remaining genes required upon environmental or genetic perturbations.”
- Genetic Screens in Human Cells Using the CRISPR-Cas9 System (2013, methodology): “Applying this approach, we found several trends related to sgRNA efficacy: (1) Single guide sequences with very high or low GC content were less effective against their targets.”
- High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities. (2015, unknown): “Importantly, the basis for many advances in yeast genetics was the discovery and classification of essential and non-essential genes through systematic genetic knockout studies (Giaever et al., 2002; Winzeler et al., 1999).”
- Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution (2008, unknown): “, 2003); because essential genes were not captured in these data, they were supplemented with essentiality data from an earlier study (Giaever et al., 2002).”
- INHIBITION OF MITOCHONDRIAL TRANSLATION AS A THERAPEUTIC STRATEGY FOR HUMAN ACUTE MYELOID LEUKEMIA (2011, methodology): “Yeast Growth Rate Measurements The growth rate of wild-type yeast (Giaever et al., 2002) was determined by measuring the ratio of the area under the curve (AUC) after 20 generations of growth plus drug to AUC in vehicle alone (2% DMSO).”
- High-Content Screening for Quantitative Cell Biology. (2016, unknown): “cerevisiae [1,4] and Schizosaccharomyces pombe [2].”
- Learning the Structural Vocabulary of a Network (2017, unknown): “We associated each network with a fragility score equal to the proportion of genes in the network that were experimentally determined to be essential (i.e., individual knock-out of these genes results in cell death; Giaever et al., 2002).”