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| Open AccessProteome effects of genome-wide single gene perturbations
Protein abundance is controlled at the transcriptional, translational and posttranslational levels. Here, Öztürk et al. determine proteome changes resulting from individual knockout of 3308 nonessential genes in the yeast S. pombe, infer gene functionality, and show that protein upregulation under stable transcript expression utilizes optimal codons.
- Merve Öztürk
- , Anja Freiwald
- & Falk Butter
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| Open AccessLactobacillus rhamnosus colonisation antagonizes Candida albicans by forcing metabolic adaptations that compromise pathogenicity
Commensal bacteria such as Lactobacillus rhamnosus can inhibit the pathogenicity of the fungus Candida albicans. Here, Alonso-Roman et al. investigate the interplay between C. albicans, L. rhamnosus and intestinal epithelial cells, showing that changes in the metabolic environment, induced by the bacteria, trigger adaptations in C. albicans that reduce fungal pathogenicity.
- Raquel Alonso-Roman
- , Antonia Last
- & Mark S. Gresnigt
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| Open AccessLeveraging machine learning essentiality predictions and chemogenomic interactions to identify antifungal targets
The analysis of essential genes in pathogens can be used to discover potential antimicrobial targets. Here, the authors use a machine learning model and chemogenomic analyses to generate genome-wide gene essentiality predictions for the fungal pathogen Candida albicans, define the function of three uncharacterized essential genes, and identify the target of a new antifungal compound.
- Ci Fu
- , Xiang Zhang
- & Leah E. Cowen
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| Open AccessFungal kinases and transcription factors regulating brain infection in Cryptococcus neoformans
Cryptococcus neoformans causes fatal fungal meningoencephalitis. Here, the authors identify fungal kinases and transcription factors involved in blood-brain barrier crossing and brain infection in mice.
- Kyung-Tae Lee
- , Joohyeon Hong
- & Yong-Sun Bahn
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Article
| Open AccessA comprehensive, mechanistically detailed, and executable model of the cell division cycle in Saccharomyces cerevisiae
Whole-cell models hold great promise for fundamental and translational biology, but genome-scale modelling of signalling networks has been a challenge. Here, the authors present a genome-scale, mechanistic and executable model of the network controlling and executing the S. cerevisiae cell cycle.
- Ulrike Münzner
- , Edda Klipp
- & Marcus Krantz
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Article
| Open AccessA general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions
Assessment of pharmacodynamic interactions is at the heart of combination therapy development. Here the authors introduce a general drug interaction scoring model that enables quantification of synergistic and antagonistic interactions and determination of the directionality of the interactions.
- Sebastian G. Wicha
- , Chunli Chen
- & Ulrika S. H. Simonsson