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Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Yeast Signaling01:28

Yeast Signaling

Yeasts are single-celled organisms, but unlike bacteria, they are eukaryotes (cells with a nucleus). Cell signaling in yeast is similar to signaling in other eukaryotic cells. A ligand, such as a protein or a small molecule released from a yeast cell, attaches to a receptor on the cell surface. The binding stimulates second-messenger kinases to activate or inactivate transcription factors that further regulate gene expression. Many of the yeast intracellular signaling cascades have similar...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

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Related Experiment Video

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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

Published on: November 12, 2012

Interaction networks: lessons from large-scale studies in yeast.

Gerard Cagney1

  • 1Conway Institute, University College Dublin, Belfield, Dublin, Ireland. gerard.cagney@ucd.ie

Proteomics
|September 11, 2009
PubMed
Summary

Saccharomyces cerevisiae, a simple eukaryotic model, offers extensive gene and protein data. This organism pioneered computational analysis techniques for genetic and physical interaction networks.

Area of Science:

  • Cell Biology
  • Systems Biology
  • Genomics

Background:

  • Saccharomyces cerevisiae serves as a fundamental eukaryotic model organism in cell biology research.
  • Its genetic tractability facilitates the development of large-scale analysis methods, particularly in reverse genetics.
  • Extensive genomewide datasets are available for yeast, surpassing those of other organisms.

Purpose of the Study:

  • To provide a concise overview of physical and genetic interaction networks in Saccharomyces cerevisiae.
  • To highlight significant experimental and computational advancements pioneered in yeast.

Main Methods:

  • Survey of existing literature on yeast physical and genetic interaction networks.
  • Review of computational and experimental methodologies applied to yeast data.

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High-throughput Yeast Plasmid Overexpression Screen
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High-throughput Yeast Plasmid Overexpression Screen

Published on: July 27, 2011

Related Experiment Videos

Last Updated: Jun 20, 2026

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

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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High-throughput Yeast Plasmid Overexpression Screen
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High-throughput Yeast Plasmid Overexpression Screen

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Main Results:

  • Yeast has been instrumental in developing numerous computational analysis techniques.
  • Significant progress has been made in mapping yeast's physical and genetic interaction networks.

Conclusions:

  • Saccharomyces cerevisiae is a crucial model for understanding complex biological networks.
  • The organism's data has driven innovation in systems biology and computational analysis.