Literature DB >> 34590281

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

Hamid Gaikani1,2, Guri Giaever1, Corey Nislow3.   

Abstract

The combination of model organisms and comprehensive genome-wide screens has provided a wealth of data into the structure and regulation of the genome, gene-environment interactions, and more recently, into the mechanism of action of human therapeutics. The success of these studies relies, in part, on the ability to quantify the combined effects of multifactorial biological interactions. In this review, we explore the history and rationale behind genetic and chemical-genetic interactions with an emphasis on the phenomena of drug synergy and then briefly describe the theoretical models that we can leverage to investigate the synergy between compounds. In addition to reviewing the literature, we also provide a reference list including many of the most important studies in this field. The concept of chemical genetics interactions derives from classical studies of synthetic lethality and functional genomics. These techniques have recently graduated from the research lab to the clinic, and a better understanding of the basic principles can help accelerate this translation.
© 2021. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Chemogenomics; Drug synergy; Gene–drug interactions; Gene–gene interactions; Model organisms

Mesh:

Substances:

Year:  2021        PMID: 34590281     DOI: 10.1007/978-1-0716-1740-3_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  71 in total

Review 1.  Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies.

Authors:  Ting-Chao Chou
Journal:  Pharmacol Rev       Date:  2006-09       Impact factor: 25.468

Review 2.  Proof of concept: network and systems biology approaches aid in the discovery of potent anticancer drug combinations.

Authors:  Asfar S Azmi; Zhiwei Wang; Philip A Philip; Ramzi M Mohammad; Fazlul H Sarkar
Journal:  Mol Cancer Ther       Date:  2010-11-01       Impact factor: 6.261

3.  Quantifying the evidence for ecological synergies.

Authors:  Emily S Darling; Isabelle M Côté
Journal:  Ecol Lett       Date:  2008-09-08       Impact factor: 9.492

Review 4.  Integrating genetic approaches into the discovery of anticancer drugs.

Authors:  L H Hartwell; P Szankasi; C J Roberts; A W Murray; S H Friend
Journal:  Science       Date:  1997-11-07       Impact factor: 47.728

5.  A high-throughput yeast assay identifies synergistic drug combinations.

Authors:  Nikko P Torres; Anna Y Lee; Guri Giaever; Corey Nislow; Grant W Brown
Journal:  Assay Drug Dev Technol       Date:  2013-06       Impact factor: 1.738

6.  Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets.

Authors:  Martin L Miller; Evan J Molinelli; Jayasree S Nair; Tahir Sheikh; Rita Samy; Xiaohong Jing; Qin He; Anil Korkut; Aimee M Crago; Samuel Singer; Gary K Schwartz; Chris Sander
Journal:  Sci Signal       Date:  2013-09-24       Impact factor: 8.192

Review 7.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

8.  Systematic exploration of synergistic drug pairs.

Authors:  Murat Cokol; Hon Nian Chua; Murat Tasan; Beste Mutlu; Zohar B Weinstein; Yo Suzuki; Mehmet E Nergiz; Michael Costanzo; Anastasia Baryshnikova; Guri Giaever; Corey Nislow; Chad L Myers; Brenda J Andrews; Charles Boone; Frederick P Roth
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

9.  Reconceptualizing synergism and antagonism among multiple stressors.

Authors:  Jeremy J Piggott; Colin R Townsend; Christoph D Matthaei
Journal:  Ecol Evol       Date:  2015-03-11       Impact factor: 2.912

Review 10.  What is synergy? The Saariselkä agreement revisited.

Authors:  Jing Tang; Krister Wennerberg; Tero Aittokallio
Journal:  Front Pharmacol       Date:  2015-09-01       Impact factor: 5.810

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  1 in total

1.  Inhibitors of eIF4G1-eIF1 uncover its regulatory role of ER/UPR stress-response genes independent of eIF2α-phosphorylation.

Authors:  Urmila Sehrawat; Ora Haimov; Benjamin Weiss; Ana Tamarkin-Ben Harush; Shaked Ashkenazi; Alexander Plotnikov; Tzahi Noiman; Dena Leshkowitz; Gil Stelzer; Rivka Dikstein
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-20       Impact factor: 12.779

  1 in total

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