Literature DB >> 23772551

A high-throughput yeast assay identifies synergistic drug combinations.

Nikko P Torres1, Anna Y Lee, Guri Giaever, Corey Nislow, Grant W Brown.   

Abstract

Drug combinations are commonly used in the treatment of a range of diseases such as cancer, AIDS, and bacterial infections. Such combinations are less likely to be thwarted by resistance, and they have the desirable potential to be synergistic. Synergistic combinations can have decreased toxicity if lower doses of the constituent agents can be used. Conversely, antagonistic combinations can lead to lower efficacy of a treatment. Unfortunately, practical limitations, including the large number of possible combinations to be tested and the importance of optimizing concentrations and order of addition, discourage systematic studies of compound combinations. To address these limitations, we present a platform to screen drug combinations at multiple concentrations with varying orders of addition in Saccharomyces cerevisiae, at high throughput. In a proof of principle, we screened all possible pairwise combinations of 11 DNA damaging agents and found that of the 66 combinations tested, six were synergistic and three were antagonistic. The strength of two-thirds of these combinations was dependent on the order in which the drugs were added to the cells. We further tested the synergistic and antagonistic combinations in two cancer cell lines and found the combination of mitomycin C and irinotecan to be synergistic in both cell lines. This pilot study demonstrates the utility of using yeast for screening large matrices of drug combinations, and it provides a means to prioritize drug combination tests in human cells. Finally, we underscore the importance of testing the order of addition for assessing drug combinations.

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Year:  2013        PMID: 23772551     DOI: 10.1089/adt.2012.503

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  7 in total

Review 1.  Chemical-Genetic Interactions as a Means to Characterize Drug Synergy.

Authors:  Hamid Gaikani; Guri Giaever; Corey Nislow
Journal:  Methods Mol Biol       Date:  2021

2.  Mapping the cellular response to small molecules using chemogenomic fitness signatures.

Authors:  Anna Y Lee; Robert P St Onge; Michael J Proctor; Iain M Wallace; Aaron H Nile; Paul A Spagnuolo; Yulia Jitkova; Marcela Gronda; Yan Wu; Moshe K Kim; Kahlin Cheung-Ong; Nikko P Torres; Eric D Spear; Mitchell K L Han; Ulrich Schlecht; Sundari Suresh; Geoffrey Duby; Lawrence E Heisler; Anuradha Surendra; Eula Fung; Malene L Urbanus; Marinella Gebbia; Elena Lissina; Molly Miranda; Jennifer H Chiang; Ana Maria Aparicio; Mahel Zeghouf; Ronald W Davis; Jacqueline Cherfils; Marc Boutry; Chris A Kaiser; Carolyn L Cummins; William S Trimble; Grant W Brown; Aaron D Schimmer; Vytas A Bankaitis; Corey Nislow; Gary D Bader; Guri Giaever
Journal:  Science       Date:  2014-04-11       Impact factor: 47.728

Review 3.  Functional toxicology: tools to advance the future of toxicity testing.

Authors:  Brandon D Gaytán; Chris D Vulpe
Journal:  Front Genet       Date:  2014-05-05       Impact factor: 4.599

4.  P-body proteins regulate transcriptional rewiring to promote DNA replication stress resistance.

Authors:  Raphael Loll-Krippleber; Grant W Brown
Journal:  Nat Commun       Date:  2017-09-15       Impact factor: 14.919

5.  Angiotensin II type 1 receptor blockers increase tolerance of cells to copper and cisplatin.

Authors:  Pieter Spincemaille; Gursimran Chandhok; Andree Zibert; Hartmut Schmidt; Jef Verbeek; Patrick Chaltin; Bruno P Cammue; David Cassiman; Karin Thevissen
Journal:  Microb Cell       Date:  2014-10-24

6.  Complex interactions of lovastatin with 10 chemotherapeutic drugs: a rigorous evaluation of synergism and antagonism.

Authors:  Kaitlyn A Khandelwal Gilman; Seungmin Han; Young-Wook Won; Charles W Putnam
Journal:  BMC Cancer       Date:  2021-04-06       Impact factor: 4.430

7.  Development of a phenotypic assay for characterisation of ethanologenic yeast strain sensitivity to inhibitors released from lignocellulosic feedstocks.

Authors:  D Greetham; T Wimalasena; D W M Kerruish; S Brindley; R N Ibbett; R L Linforth; G Tucker; T G Phister; K A Smart
Journal:  J Ind Microbiol Biotechnol       Date:  2014-03-25       Impact factor: 3.346

  7 in total

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