Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898801056> ?p ?o ?g. }
- W2898801056 abstract "Comprehensive understanding of an organism requires that we understand the contributions of most, if not all, of its genes. Classical genetic approaches to this issue have involved systematic deletion of each gene in the genome, with comprehensive sets of mutants available only for very-well-studied model organisms. We took a different approach, harnessing the power of in vivo transposition coupled with deep sequencing to identify >500,000 different mutations, one per cell, in the prevalent human fungal pathogen Candida albicans and to map their positions across the genome. The transposition approach is efficient and less labor-intensive than classic approaches. Here, we describe the production and analysis (aided by machine learning) of a large collection of mutants and the comprehensive identification of 1,610 C. albicans genes that are essential for growth under standard laboratory conditions. Among these C. albicans essential genes, we identify those that are also essential in two distantly related model yeasts as well as those that are conserved in all four major human fungal pathogens and that are not conserved in the human genome. This list of genes with functions important for the survival of the pathogen provides a good starting point for the development of new antifungal drugs, which are greatly needed because of the emergence of fungal pathogens with elevated resistance and/or tolerance of the currently limited set of available antifungal drugs." @default.
- W2898801056 created "2018-11-09" @default.
- W2898801056 creator A5008227126 @default.
- W2898801056 creator A5010058686 @default.
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- W2898801056 creator A5046883178 @default.
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- W2898801056 creator A5047407814 @default.
- W2898801056 creator A5071152958 @default.
- W2898801056 creator A5072321436 @default.
- W2898801056 date "2018-11-07" @default.
- W2898801056 modified "2023-10-06" @default.
- W2898801056 title "Gene Essentiality Analyzed by <i>In Vivo</i> Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of <i>Candida albicans</i>" @default.
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