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29 results on '"Li, Sheena C."'

1. Identification of triazenyl indoles as inhibitors of fungal fatty acid biosynthesis with broad-spectrum activity

Author

Iyer, Kali R., Li, Sheena C., Revie, Nicole M., Lou, Jennifer W., Duncan, Dustin, Fallah, Sara, Sanchez, Hiram, Skulska, Iwona, Ušaj, Mojca Mattiazzi, Safizadeh, Hamid, Larsen, Brett, Wong, Cassandra, Aman, Ahmed, Kiyota, Taira, Yoshimura, Mami, Kimura, Hiromi, Hirano, Hiroyuki, Yoshida, Minoru, Osada, Hiroyuki, Gingras, Anne-Claude, Andes, David R., Shapiro, Rebecca S., Robbins, Nicole, Mazhab-Jafari, Mohammad T., Whitesell, Luke, Yashiroda, Yoko, Boone, Charles, and Cowen, Leah E.

Published
2023
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6. A global genetic interaction network maps a wiring diagram of cellular function

Author

Costanzo, Michael, VanderSluis, Benjamin, Koch, Elizabeth N., Baryshnikova, Anastasia, Pons, Carles, Tan, Guihong, Wang, Wen, Usaj, Matej, Hanchard, Julia, Lee, Susan D., Pelechano, Vicent, Styles, Erin B., Billmann, Maximilian, van Leeuwen, Jolanda, van Dyk, Nydia, Lin, Zhen-Yuan, Kuzmin, Elena, Nelson, Justin, Piotrowski, Jeff S., Srikumar, Tharan, Bahr, Sondra, Chen, Yiqun, Deshpande, Raamesh, Kurat, Christoph F., Li, Sheena C., Li, Zhijian, Usaj, Mojca Mattiazzi, Okada, Hiroki, Pascoe, Natasha, San Luis, Bryan-Joseph, Sharifpoor, Sara, Shuteriqi, Emira, Simpkins, Scott W., Snider, Jamie, Suresh, Harsha Garadi, Tan, Yizhao, Zhu, Hongwei, Malod-Dognin, Noel, Janjic, Vuk, Przulj, Natasa, Troyanskaya, Olga G., Stagljar, Igor, Xia, Tian, Ohya, Yoshikazu, Gingras, Anne-Claude, Raught, Brian, Boutros, Michael, Steinmetz, Lars M., Moore, Claire L., Rosebrock, Adam P., Caudy, Amy A., Myers, Chad L., Andrews, Brenda, and Boone, Charles

Published
2016

7. Plant-derived antifungal agent poacic acid targets β-1,3-glucan

Author

Piotrowski, Jeff S., Okada, Hiroki, Lu, Fachuang, Li, Sheena C., Hinchman, Li, Ranjan, Ashish, Smith, Damon L., Higbee, Alan J., Ulbrich, Arne, Coon, Joshua J., Deshpande, Raamesh, Bukhman, Yury V., McIlwain, Sean, Ong, Irene M., Myers, Chad L., Boone, Charles, Landick, Robert, Ralph, John, Kabbage, Mehdi, and Ohya, Yoshikazu

Published
2015

9. Jerveratrum-Type Steroidal Alkaloids Inhibit β-1,6-Glucan Biosynthesis in Fungal Cell Walls

Author

Kubo, Karen, primary, Itto-Nakama, Kaori, additional, Ohnuki, Shinsuke, additional, Yashiroda, Yoko, additional, Li, Sheena C., additional, Kimura, Hiromi, additional, Kawamura, Yumi, additional, Shimamoto, Yasuhiro, additional, Tominaga, Ken-Ichi, additional, Yamanaka, Daisuke, additional, Adachi, Yoshiyuki, additional, Takashima, Shinichiro, additional, Noda, Yoichi, additional, Boone, Charles, additional, and Ohya, Yoshikazu, additional

Published
2022
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11. Improving Measures of Chemical Structural Similarity Using Machine Learning on Chemical–Genetic Interactions

Author

Safizadeh, Hamid, primary, Simpkins, Scott W., additional, Nelson, Justin, additional, Li, Sheena C., additional, Piotrowski, Jeff S., additional, Yoshimura, Mami, additional, Yashiroda, Yoko, additional, Hirano, Hiroyuki, additional, Osada, Hiroyuki, additional, Yoshida, Minoru, additional, Boone, Charles, additional, and Myers, Chad L., additional

Published
2021
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12. Genome-wide screening of genes associated with momilactone B sensitivity in the fission yeast Schizosaccharomyces pombe

Author

Tomita, Keisuke, primary, Yashiroda, Yoko, additional, Matsuo, Yasuhiro, additional, Piotrowski, Jeff S, additional, Li, Sheena C, additional, Okamoto, Reika, additional, Yoshimura, Mami, additional, Kimura, Hiromi, additional, Kawamura, Yumi, additional, Kawamukai, Makoto, additional, Boone, Charles, additional, Yoshida, Minoru, additional, Nojiri, Hideaki, additional, and Okada, Kazunori, additional

Published
2021
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13. Genome-wide screening of genes associated with momilactone B sensitivity in the fission yeast Schizosaccharomyces pombe

Author

Tomita, Keisuke, Yashiroda, Yoko, Matsuo, Yasuhiro, Piotrowski, Jeff S, Li, Sheena C, Okamoto, Reika, Yoshimura, Mami, Kimura, Hiromi, Kawamura, Yumi, Kawamukai, Makoto, Boone, Charles, Yoshida, Minoru, Nojiri, Hideaki, Okada, Kazunori, Tomita, Keisuke, Yashiroda, Yoko, Matsuo, Yasuhiro, Piotrowski, Jeff S, Li, Sheena C, Okamoto, Reika, Yoshimura, Mami, Kimura, Hiromi, Kawamura, Yumi, Kawamukai, Makoto, Boone, Charles, Yoshida, Minoru, Nojiri, Hideaki, and Okada, Kazunori

Published
2021

15. Predicting bioprocess targets of chemical compounds through integration of chemical-genetic and genetic interactions

Author

Simpkins, Scott W., primary, Nelson, Justin, additional, Deshpande, Raamesh, additional, Li, Sheena C., additional, Piotrowski, Jeff S., additional, Wilson, Erin H., additional, Gebre, Abraham A., additional, Safizadeh, Hamid, additional, Okamoto, Reika, additional, Yoshimura, Mami, additional, Costanzo, Michael, additional, Yashiroda, Yoko, additional, Ohya, Yoshikazu, additional, Osada, Hiroyuki, additional, Yoshida, Minoru, additional, Boone, Charles, additional, and Myers, Chad L., additional

Published
2018
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16. Erratum: Errata: Functional annotation of chemical libraries across diverse biological processes

Author

Piotrowski, Jeff S, primary, Li, Sheena C, additional, Deshpande, Raamesh, additional, Simpkins, Scott W, additional, Nelson, Justin, additional, Yashiroda, Yoko, additional, Barber, Jacqueline M, additional, Safizadeh, Hamid, additional, Wilson, Erin, additional, Okada, Hiroki, additional, Gebre, Abraham A, additional, Kubo, Karen, additional, Torres, Nikko P, additional, LeBlanc, Marissa A, additional, Andrusiak, Kerry, additional, Okamoto, Reika, additional, Yoshimura, Mami, additional, DeRango-Adem, Eva, additional, van Leeuwen, Jolanda, additional, Shirahige, Katsuhiko, additional, Baryshnikova, Anastasia, additional, Brown, Grant W, additional, Hirano, Hiroyuki, additional, Costanzo, Michael, additional, Andrews, Brenda, additional, Ohya, Yoshikazu, additional, Osada, Hiroyuki, additional, Yoshida, Minoru, additional, Myers, Chad L, additional, and Boone, Charles, additional

Published
2017
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18. Functional annotation of chemical libraries across diverse biological processes

Author

Piotrowski, Jeff S, primary, Li, Sheena C, additional, Deshpande, Raamesh, additional, Simpkins, Scott W, additional, Nelson, Justin, additional, Yashiroda, Yoko, additional, Barber, Jacqueline M, additional, Safizadeh, Hamid, additional, Wilson, Erin, additional, Okada, Hiroki, additional, Gebre, Abraham A, additional, Kubo, Karen, additional, Torres, Nikko P, additional, LeBlanc, Marissa A, additional, Andrusiak, Kerry, additional, Okamoto, Reika, additional, Yoshimura, Mami, additional, DeRango-Adem, Eva, additional, van Leeuwen, Jolanda, additional, Shirahige, Katsuhiko, additional, Baryshnikova, Anastasia, additional, Brown, Grant W, additional, Hirano, Hiroyuki, additional, Costanzo, Michael, additional, Andrews, Brenda, additional, Ohya, Yoshikazu, additional, Osada, Hiroyuki, additional, Yoshida, Minoru, additional, Myers, Chad L, additional, and Boone, Charles, additional

Published
2017
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20. Predicting bioprocess targets of chemical compounds through integration of chemical-genetic and genetic interaction networks

Author

Simpkins, Scott W., primary, Nelson, Justin, additional, Deshpande, Raamesh, additional, Li, Sheena C., additional, Piotrowski, Jeff S., additional, Wilson, Erin H., additional, Gebre, Abraham A., additional, Okamoto, Reika, additional, Yoshimura, Mami, additional, Costanzo, Michael, additional, Yashiroda, Yoko, additional, Ohya, Yoshikazu, additional, Osada, Hiroyuki, additional, Yoshida, Minoru, additional, Boone, Charles, additional, and Myers, Chad L., additional

Published
2017
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21. Functional Annotation of Chemical Libraries across Diverse Biological Processes

Author

Piotrowski, Jeff S., primary, Li, Sheena C., additional, Deshpande, Raamesh, additional, Simpkins, Scott W., additional, Nelson, Justin, additional, Yashiroda, Yoko, additional, Barber, Jacqueline M., additional, Safizadeh, Hamid, additional, Wilson, Erin, additional, Okada, Hiroki, additional, Gebre, Abraham A., additional, Kubo, Karen, additional, Torres, Nikko P., additional, LeBlanc, Marissa A., additional, Andrusiak, Kerry, additional, Okamoto, Reika, additional, Yoshimura, Mami, additional, DeRango-Adem, Eva, additional, van Leeuwen, Jolanda, additional, Shirahige, Katsuhiko, additional, Baryshnikova, Anastasia, additional, Brown, Grant W., additional, Hirano, Hiroyuki, additional, Costanzo, Michael, additional, Andrews, Brenda, additional, Ohya, Yoshikazu, additional, Osada, Hiroyuki, additional, Yoshida, Minoru, additional, Myers, Chad L., additional, and Boone, Charles, additional

Published
2017
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23. Unbiased Screening of Marine Sponge Extracts for Anti-inflammatory Agents Combined with Chemical Genomics Identifies Girolline as an Inhibitor of Protein Synthesis

Author

Fung, Shan-Yu, primary, Sofiyev, Vladimir, additional, Schneiderman, Julia, additional, Hirschfeld, Aaron F., additional, Victor, Rachel E., additional, Woods, Kate, additional, Piotrowski, Jeff S., additional, Deshpande, Raamesh, additional, Li, Sheena C., additional, de Voogd, Nicole J., additional, Myers, Chad L., additional, Boone, Charlie, additional, Andersen, Raymond J., additional, and Turvey, Stuart E., additional

Published
2013
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24. Unbiased Screening of Marine Sponge Extracts for Anti-inflammatory Agents Combined with Chemical Genomics Identifies Girolline as an Inhibitor of Protein Synthesis

Author

Fung, Shan-Yu, Sofiyev, Vladimir, Schneiderman, Julia, Hirschfeld, Aaron F., Victor, Rachel E., Woods, Kate, Piotrowski, Jeff S., Deshpande, Raamesh, Li, Sheena C., de Voogd, Nicole J., Myers, Chad L., Boone, Charlie, Andersen, Raymond J., and Turvey, Stuart E.

Abstract

Toll-like receptors (TLRs) play a critical role in innate immunity, but activation of TLR signaling pathways is also associated with many harmful inflammatory diseases. Identification of novel anti-inflammatory molecules targeting TLR signaling pathways is central to the development of new treatment approaches for acute and chronic inflammation. We performed high-throughput screening from crude marine sponge extracts on TLR5 signaling and identified girolline. We demonstrated that girolline inhibits signaling through both MyD88-dependent and -independent TLRs (i.e., TLR2, 3, 4, 5, and 7) and reduces cytokine (IL-6 and IL-8) production in human peripheral blood mononuclear cells and macrophages. Using a chemical genomics approach, we identified Elongation Factor 2 as the molecular target of girolline, which inhibits protein synthesis at the elongation step. Together these data identify the sponge natural product girolline as a potential anti-inflammatory agent acting through inhibition of protein synthesis.

Published
2014
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25. MOSAIC: a chemical-genetic interaction data repository and web resource for exploring chemical modes of action.

Author

Nelson, Justin, Simpkins, Scott W, Safizadeh, Hamid, Li, Sheena C, Piotrowski, Jeff S, Hirano, Hiroyuki, Yashiroda, Yoko, Osada, Hiroyuki, Yoshida, Minoru, and Boone, Charles

Subjects
BIOCHEMICAL genetics, GENETIC transformation, COMPUTER interfaces, GENE ontology, BIOLOGISTS
Abstract

Chemical-genomic approaches that map interactions between small molecules and genetic perturbations offer a promising strategy for functional annotation of uncharacterized bioactive compounds. We recently developed a new high-throughput platform for mapping chemicalgenetic (CG) interactions in yeast that can be scaled to screen large compound collections and we applied this system to generate CG interaction profiles for more than 13 000 compounds. When integrated with the existing global yeast genetic interaction network, CG interaction profiles can enable mode-of-action prediction for previously uncharacterized compounds as well as discover unexpected secondary effects for known drugs. To facilitate future analysis of these valuable data, we developed a public database and web interface named MOSAIC. The website provides a convenient interface for querying compounds, bioprocesses (Gene Ontology terms) and genes for CG information including direct CG interactions, bioprocesses and gene-level target predictions. MOSAIC also provides access to chemical structure information of screened molecules, chemical-genomic profiles and the ability to search for compounds sharing structural and functional similarity. This resource will be of interest to chemical biologists for discovering new small molecule probes with specific modes-ofaction as well as computational biologists interested in analysing CG interaction networks. [ABSTRACT FROM AUTHOR]

Published
2018
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26. Errata: Functional annotation of chemical libraries across diverse biological processes

Author

Piotrowski, Jeff S, Li, Sheena C, Deshpande, Raamesh, Simpkins, Scott W, Nelson, Justin, Yashiroda, Yoko, Barber, Jacqueline M, Safizadeh, Hamid, Wilson, Erin, Okada, Hiroki, Gebre, Abraham A, Kubo, Karen, Torres, Nikko P, LeBlanc, Marissa A, Andrusiak, Kerry, Okamoto, Reika, Yoshimura, Mami, DeRango-Adem, Eva, van Leeuwen, Jolanda, Shirahige, Katsuhiko, Baryshnikova, Anastasia, Brown, Grant W, Hirano, Hiroyuki, Costanzo, Michael, Andrews, Brenda, Ohya, Yoshikazu, Osada, Hiroyuki, Yoshida, Minoru, Myers, Chad L, and Boone, Charles

Abstract

This corrects the article DOI: 10.1038/nchembio.2436

Published
2017
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27. Genome-wide screening of genes associated with momilactone B sensitivity in the fission yeast Schizosaccharomyces pombe.

Author

Keisuke Tomita, Yoko Yashiroda, Yasuhiro Matsuo, Piotrowski, Jeff S., Li, Sheena C., Reika Okamoto, Mami Yoshimura, Hiromi Kimura, Yumi Kawamura, Makoto Kawamukai, Boone, Charles, Minoru Yoshida, Hideaki Nojiri, and Kazunori Okada

Subjects
*SCHIZOSACCHAROMYCES pombe, *PLANT chemical defenses, *YEAST, *PHYTOPATHOGENIC microorganisms, *B cells
Abstract

Momilactone B is a natural product with dual biological activities, including antimicrobial and allelopathic properties, and plays a major role in plant chemical defense against competitive plants and pathogens. The pharmacological effects of momilactone B on mammalian cells have also been reported. However, little is known about the molecular and cellular mechanisms underlying its broad bioactivity. In this study, the genetic determinants of momilactone B sensitivity in yeast were explored to gain insight into its mode of action. We screened fission yeast mutants resistant to momilactone B from a pooled culture containing genome-wide gene-overexpressing strains in a drug-hypersensitive genetic background. Overexpression of pmd1, bfr1, pap1, arp9, or SPAC9E9.06c conferred resistance to momilactone B. In addition, a drug-hypersensitive, barcoded deletion library was newly constructed and the genes that imparted altered sensitivity to momilactone B upon deletion were identified. Gene Ontology and fission yeast phenotype ontology enrichment analyses predicted the biological pathways related to the mode of action of momilactone B. The validation of predictions revealed that momilactone B induced abnormal phenotypes such as multiseptated cells and disrupted organization of the microtubule structure. This is the first investigation of the mechanism underlying the antifungal activity of momilactone B against yeast. The results and datasets obtained in this study narrow the possible targets of momilactone B and facilitate further studies regarding its mode of action. [ABSTRACT FROM AUTHOR]

Published
2021
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28. Genome-wide screening of genes associated with momilactone B sensitivity in the fission yeast Schizosaccharomyces pombe.

Author

Tomita K, Yashiroda Y, Matsuo Y, Piotrowski JS, Li SC, Okamoto R, Yoshimura M, Kimura H, Kawamura Y, Kawamukai M, Boone C, Yoshida M, Nojiri H, and Okada K

Subjects
Genome, Fungal, Antifungal Agents pharmacology, Diterpenes pharmacology, Lactones pharmacology, Schizosaccharomyces drug effects, Schizosaccharomyces genetics, Schizosaccharomyces pombe Proteins genetics
Abstract

Momilactone B is a natural product with dual biological activities, including antimicrobial and allelopathic properties, and plays a major role in plant chemical defense against competitive plants and pathogens. The pharmacological effects of momilactone B on mammalian cells have also been reported. However, little is known about the molecular and cellular mechanisms underlying its broad bioactivity. In this study, the genetic determinants of momilactone B sensitivity in yeast were explored to gain insight into its mode of action. We screened fission yeast mutants resistant to momilactone B from a pooled culture containing genome-wide gene-overexpressing strains in a drug-hypersensitive genetic background. Overexpression of pmd1, bfr1, pap1, arp9, or SPAC9E9.06c conferred resistance to momilactone B. In addition, a drug-hypersensitive, barcoded deletion library was newly constructed and the genes that imparted altered sensitivity to momilactone B upon deletion were identified. Gene Ontology and fission yeast phenotype ontology enrichment analyses predicted the biological pathways related to the mode of action of momilactone B. The validation of predictions revealed that momilactone B induced abnormal phenotypes such as multiseptated cells and disrupted organization of the microtubule structure. This is the first investigation of the mechanism underlying the antifungal activity of momilactone B against yeast. The results and datasets obtained in this study narrow the possible targets of momilactone B and facilitate further studies regarding its mode of action., (© The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America.)

Published
2021
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29. Chemical genomic profiling via barcode sequencing to predict compound mode of action.

Author

Piotrowski JS, Simpkins SW, Li SC, Deshpande R, McIlwain SJ, Ong IM, Myers CL, Boone C, and Andersen RJ

Subjects
Drug Discovery methods, Genomics methods, High-Throughput Nucleotide Sequencing, Mutation drug effects, Saccharomyces cerevisiae drug effects, Saccharomyces cerevisiae genetics
Abstract

Chemical genomics is an unbiased, whole-cell approach to characterizing novel compounds to determine mode of action and cellular target. Our version of this technique is built upon barcoded deletion mutants of Saccharomyces cerevisiae and has been adapted to a high-throughput methodology using next-generation sequencing. Here we describe the steps to generate a chemical genomic profile from a compound of interest, and how to use this information to predict molecular mechanism and targets of bioactive compounds.

Published
2015
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