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Related Concept Videos

Lethal Alleles02:41

Lethal Alleles

Agouti: A Lethal Allele
Lucien Cuénot discovered lethal alleles in 1905 while studying the inheritance of coat color in mice. The agouti gene is responsible for the color of the coat in mice. This gene codes for an agouti-signaling protein, which is responsible for melanin distribution in mammals. The wild-type allele gives rise to gray-brown coat color in mice, while the mutant allele gives rise to yellow coat color. In addition to coat color, the agouti gene is associated with the yellow...
In-vitro Mutagenesis01:16

In-vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.

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Related Experiment Video

Updated: Jul 1, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Modeling synthetic lethality.

Nolwenn Le Meur1, Robert Gentleman

  • 1Division of Public Health Sciences, Fred Hutchinson Cancer Center Research, Program in Computational Biology, Seattle, WA 98109, USA. nlemeur@fhcrc.org

Genome Biology
|September 16, 2008
PubMed
Summary
This summary is machine-generated.

Synthetic lethality, a genetic interaction causing cell death, can be modeled using protein complexes. This approach helps understand complex molecular interactions and aids in developing targeted cancer therapies.

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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Area of Science:

  • Genetics
  • Systems Biology
  • Computational Biology

Background:

  • Synthetic lethality describes how mutations in multiple genes cause cell death.
  • Synthetic lethal interactions offer potential for targeted cancer therapy by sparing normal cells.
  • Analyzing genome-wide data to understand biological processes is challenging.

Purpose of the Study:

  • To develop statistical and computational tools for analyzing synthetic lethality.
  • To find relationships between synthetic lethality and cellular organizational units.
  • To model synthetic lethality using protein complexes.

Main Methods:

  • Utilized the yeast interactome (Saccharomyces cerevisiae).
  • Identified multi-protein complexes and pairs of complexes with high synthetic genetic interactions.
  • Incorporated pleiotropic effects of gene products.

Main Results:

  • Identified multi-protein complexes and pairs exhibiting significant synthetic genetic interactions.
  • Confirmed synthetic lethality arises within essential multi-protein complexes and between complex pairs.
  • Demonstrated that protein complexes account for gene product pleiotropy.

Conclusions:

  • Modeling synthetic lethality with the yeast interactome efficiently disentangles complex molecular interactions.
  • The proposed model, statistical, and computational methods offer new tools for characterizing synthetic genetic interactions.