Synthetic genetic array
== Synthetic Genetic Array ==
A Synthetic Genetic Array (SGA) is a powerful genetic interaction mapping technique used in yeast genetics to systematically study the relationships between genes. This method allows researchers to investigate how different genes interact with each other and how these interactions contribute to various cellular processes.
Overview[edit | edit source]
The SGA technique involves the construction of a large array of double mutants, each containing a query gene deletion combined with a collection of array genes. By systematically crossing these mutants and analyzing the resulting phenotypes, researchers can identify genetic interactions between the query gene and the array genes.
Methodology[edit | edit source]
To perform an SGA analysis, a collection of haploid yeast strains with non-essential gene deletions is used. These strains are systematically crossed with a query strain containing a gene deletion of interest. The resulting double mutants are then analyzed for growth defects or other phenotypic changes.
Applications[edit | edit source]
SGA has been widely used to study various biological processes, including cell cycle regulation, signaling pathways, and protein interactions. By identifying genetic interactions, researchers can gain insights into the functions of individual genes and their roles in complex biological networks.
Limitations[edit | edit source]
While SGA is a powerful tool for studying genetic interactions, it has some limitations. For example, the technique may miss certain interactions due to redundancy in biological pathways or limitations in the experimental design.
See also[edit | edit source]
References[edit | edit source]
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Contributors: Prab R. Tumpati, MD