C
Charles Boone
Researcher at University of Toronto
Publications - 314
Citations - 46014
Charles Boone is an academic researcher from University of Toronto. The author has contributed to research in topics: Gene & Synthetic genetic array. The author has an hindex of 100, co-authored 294 publications receiving 42217 citations. Previous affiliations of Charles Boone include Canadian Institute for Advanced Research & Queen's University.
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Journal ArticleDOI
Integrating yeast chemical genomics and mammalian cell pathway analysis.
Fu lai Zhou,Sheena C. Li,Yue Zhu,Wan jing Guo,Li jun Shao,Justin Nelson,Scott W. Simpkins,De hua Yang,Qing Liu,Yoko Yashiroda,Jin biao Xu,Yao yue Fan,Jian min Yue,Minoru Yoshida,Tian Xia,Chad L. Myers,Charles Boone,Ming-Wei Wang +17 more
TL;DR: Previously uncharacterized compounds with chemical-genetic profiles resembling existing drugs that modulate autophagy and Wnt/β-catenin signal transduction were further examined in mammalian cells, and new modulators with specific modes of action were validated.
Journal ArticleDOI
Functional link between mitochondria and Rnr3, the minor catalytic subunit of yeast ribonucleotide reductase.
TL;DR: It is shown that carbon source, an essential nutrient, impacts Rnr1 and Rnr3 abundance: non-fermentable carbon sources or limiting concentrations of glucose down regulate Rnr 1 and induce Rnr 3 expression.
Journal ArticleDOI
High-throughput platform for yeast morphological profiling predicts the targets of bioactive compounds
Shinsuke Ohnuki,Itsuki Ogawa,Kaori Itto-Nakama,Fachuang Lu,Aashish Ranjan,Mehdi Kabbage,Abraham A Gebre,Masao Yamashita,Sheena C. Li,Yoko Yashiroda,Satoshi Yoshida,Takeo Usui,Jeff S. Piotrowski,Brenda J. Andrews,Charles Boone,Grant W. Brown,John Ralph,Yoshikazu Ohya +17 more
TL;DR: In this paper , the authors developed a reliable high-throughput (HT) platform for yeast morphological profiling using drug-hypersensitive strains to minimize compound use, HT microscopy to speed up data generation and analysis, and a generalized linear model to predict targets with high reliability.
Posted ContentDOI
Yeast Genomic Screens Identify Kinesins as Potential Targets of the Pseudomonas syringae Type III Effector, HopZ1a
Amy S. Lee,D. Patrick Bastedo,Timothy Lo,M A Middleton,Ji-Young Youn,Inga Kireeva,Jee Yeon Lee,Sara Sharifpoor,Anastasia Baryshnikova,Jianfeng Zhang,Pauline W. Wang,Sergio G. Peisajovich,Michael Constanzo,Brenda J. Andrews,Charles Boone,Darrell Desveaux,David S. Guttman +16 more
TL;DR: Yeast genomics and protein interaction data are used to identify putative virulence targets of the effector HopZ1a from the plant pathogen Pseudomonas syringae and it is demonstrated that HopZ 1a can target kinesin proteins by acetylating the plant kinesins HINKEL and MKRP1.
Posted ContentDOI
Reproducibility metrics for CRISPR screens
Maximilian Billmann,Henry N. Ward,Michael Aregger,Michael Costanzo,Brenda J. Andrews,Charles Boone,Jason Moffat,Chad L. Myers +7 more
TL;DR: The importance of reporting reproducibility statistics that directly relate to the purpose of the screen are highlighted and the use of metrics that are sensitive to context-specific signal are suggested.