Literature DB >> 34590269

Mapping Synthetic Dosage Lethal Genetic Interactions in Saccharomyces cerevisiae.

Akil Hamza1, Leanne Amitzi1, Supipi Duffy1, Philip Hieter2.   

Abstract

Synthetic dosage lethality (SDL) is a type of genetic interaction that occurs when increasing the expression of a gene causes a fitness defect, such as lethality, in a specific mutant background but has little effect on fitness in a wild-type background. SDL genetic interactions discovered in model organisms such as the budding yeast, Saccharomyces cerevisiae , represent candidate genetic interactions that may be conserved in human cells. In some cases, SDL genetic interactions can be applied to study the biological implications of genes overexpressed in cancer and to discover potential anticancer therapeutic drug targets. Here, we provide a protocol for screening a query overexpression gene against ordered arrays of yeast mutant strains to identify mutations that sensitize yeast to increased dosage of a specific gene product. We outline applications and procedures for screening with an inducibly overexpressed wild-type gene, a common feature of cancer cells, or with an inducibly overexpressed gene carrying a dominant-negative missense mutation as a model of protein-inhibitor interactions. This high-throughput screening platform is adapted from synthetic genetic array (SGA) technology and enables the generation of large-scale SDL genetic interaction networks that can be applied to study gene/pathway function and to identify cross-species cancer-relevant processes.
© 2021. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Dominant synthetic lethality; Genetic interactions; Inhibitor–protein interactions; Overexpression; Synthetic dosage lethality; Synthetic genetic array; Yeast

Mesh:

Year:  2021        PMID: 34590269     DOI: 10.1007/978-1-0716-1740-3_2

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


  41 in total

1.  Synthetic dosage lethality.

Authors:  Vivien Measday; Philip Hieter
Journal:  Methods Enzymol       Date:  2002       Impact factor: 1.600

Review 2.  Gene overexpression: uses, mechanisms, and interpretation.

Authors:  Gregory Prelich
Journal:  Genetics       Date:  2012-03       Impact factor: 4.562

3.  Mapping a diversity of genetic interactions in yeast.

Authors:  Jolanda van Leeuwen; Charles Boone; Brenda J Andrews
Journal:  Curr Opin Syst Biol       Date:  2017-08-12

4.  Systematic yeast synthetic lethal and synthetic dosage lethal screens identify genes required for chromosome segregation.

Authors:  Vivien Measday; Kristin Baetz; Julie Guzzo; Karen Yuen; Teresa Kwok; Bilal Sheikh; Huiming Ding; Ryo Ueta; Trinh Hoac; Benjamin Cheng; Isabelle Pot; Amy Tong; Yuko Yamaguchi-Iwai; Charles Boone; Phil Hieter; Brenda Andrews
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-19       Impact factor: 11.205

Review 5.  Contemplating effects of genomic structural variation.

Authors:  Janet A Buchanan; Stephen W Scherer
Journal:  Genet Med       Date:  2008-09       Impact factor: 8.822

Review 6.  A census of amplified and overexpressed human cancer genes.

Authors:  Thomas Santarius; Janet Shipley; Daniel Brewer; Michael R Stratton; Colin S Cooper
Journal:  Nat Rev Cancer       Date:  2010-01       Impact factor: 60.716

7.  Ctf3p, the Mis6 budding yeast homolog, interacts with Mcm22p and Mcm16p at the yeast outer kinetochore.

Authors:  Vivien Measday; Dale W Hailey; Isabelle Pot; Scott A Givan; Katherine M Hyland; Gerard Cagney; Stan Fields; Trisha N Davis; Philip Hieter
Journal:  Genes Dev       Date:  2002-01-01       Impact factor: 11.361

8.  Mcm2 and Mcm3, two proteins important for ARS activity, are related in structure and function.

Authors:  H Yan; S Gibson; B K Tye
Journal:  Genes Dev       Date:  1991-06       Impact factor: 11.361

Review 9.  Synthetic lethality and cancer.

Authors:  Nigel J O'Neil; Melanie L Bailey; Philip Hieter
Journal:  Nat Rev Genet       Date:  2017-06-26       Impact factor: 53.242

10.  Cumulative haploinsufficiency and triplosensitivity drive aneuploidy patterns and shape the cancer genome.

Authors:  Teresa Davoli; Andrew Wei Xu; Kristen E Mengwasser; Laura M Sack; John C Yoon; Peter J Park; Stephen J Elledge
Journal:  Cell       Date:  2013-10-31       Impact factor: 41.582

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