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Related Concept Videos

Regulated Protein Degradation02:58

Regulated Protein Degradation

It is vital to regulate the activity of enzymatic as well as non-enzymatic proteins inside the cell. This can be achieved either through creating a balance between their rate of synthesis and degradation or regulating the intrinsic activity of the protein. Both these regulation mechanisms play an essential role in the normal functioning of cells.
Protein degradation plays two important roles in the cells. It helps to protect cells from misfolded or damaged proteins before they lead to a...
Regulated Protein Degradation02:58

Regulated Protein Degradation

It is vital to regulate the activity of enzymatic as well as non-enzymatic proteins inside the cell. This can be achieved either through creating a balance between their rate of synthesis and degradation or regulating the intrinsic activity of the protein. Both these regulation mechanisms play an essential role in the normal functioning of cells.
Protein degradation plays two important roles in the cells. It helps to protect cells from misfolded or damaged proteins before they lead to a...
Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze the...
Proteins: From Genes to Degradation02:11

Proteins: From Genes to Degradation

Within a biological system, the DNA encodes the RNA, and the nucleotide sequence in the RNA further defines the amino acid sequence in the protein. This is referred to as “The Central Dogma of Molecular Biology” - a term coined by Francis Crick.  Central dogma is a firm principle in biology that defines the flow of genetic information within any life form. The two fundamental steps in central dogma are - transcription and translation.
Transcription is the synthesis of RNA molecules by RNA...
Proteins: From Genes to Degradation02:11

Proteins: From Genes to Degradation

Within a biological system, the DNA encodes the RNA, and the nucleotide sequence in the RNA further defines the amino acid sequence in the protein. This is referred to as “The Central Dogma of Molecular Biology” - a term coined by Francis Crick.  Central dogma is a firm principle in biology that defines the flow of genetic information within any life form. The two fundamental steps in central dogma are - transcription and translation.
Transcription is the synthesis of RNA molecules by RNA...
GPCR Desensitization01:12

GPCR Desensitization

G protein-coupled receptor (GPCR) signaling plays a crucial role in cell functioning. GPCR desensitization is an equally essential process. It allows cells to respond to changing environments and regain sensitivity to new stimuli while preventing unnecessary stimulation when no longer needed. Prolonged exposure to stimuli leads to GPCR desensitization. It involves blocking the receptors from binding and activating additional G proteins. This inhibits activation of downstream effectors, thereby...

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Cycloheximide Chase Analysis of Protein Degradation in Saccharomyces cerevisiae
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Queueing up for enzymatic processing: correlated signaling through coupled degradation.

Natalie A Cookson1, William H Mather, Tal Danino

  • 1Molecular Biology Section, Division of Biological Science, University of California, San Diego, CA, USA.

Molecular Systems Biology
|December 22, 2011
PubMed
Summary
This summary is machine-generated.

Queueing theory explains how protein interactions create network correlations. This study uses the E. coli ClpXP system to show how shared enzymes can synchronize biological networks, offering insights for synthetic biology.

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Last Updated: May 26, 2026

Cycloheximide Chase Analysis of Protein Degradation in Saccharomyces cerevisiae
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Published on: April 18, 2016

Reporter-based Growth Assay for Systematic Analysis of Protein Degradation
07:47

Reporter-based Growth Assay for Systematic Analysis of Protein Degradation

Published on: November 6, 2014

Growth-based Determination and Biochemical Confirmation of Genetic Requirements for Protein Degradation in Saccharomyces cerevisiae
10:57

Growth-based Determination and Biochemical Confirmation of Genetic Requirements for Protein Degradation in Saccharomyces cerevisiae

Published on: February 16, 2015

Area of Science:

  • Systems biology
  • Synthetic biology
  • Biophysics

Background:

  • High-throughput technologies generate complex cellular interaction networks.
  • Understanding molecular mechanisms is crucial for advancing systems and synthetic biology.
  • Post-translational processes can influence cellular network dynamics.

Purpose of the Study:

  • To investigate how queueing dynamics in enzymatic systems create correlations between cellular components.
  • To model indirect network coupling through shared enzymatic machinery.
  • To explore the implications of enzymatic queueing in synthetic biology applications.

Main Methods:

  • Application of queueing theory to model protein interactions as customers and enzymes as servers.
  • Utilizing the E. coli ClpXP degradation machine as a model system.
  • Analyzing cross-talk between indirectly coupled networks via common processors.
  • Demonstrating synchronized behavior in synthetic networks under enzyme overburden.

Main Results:

  • Observed significant cross-talk between two networks indirectly coupled through common E. coli ClpXP processors.
  • Demonstrated synchronized behavior in independent synthetic networks when ClpXP machinery was overburdened.
  • Identified enzymatic queueing as a mechanism for dynamic connections in cellular networks.

Conclusions:

  • Enzymatic queueing can lead to correlations and synchronized behavior in biological networks.
  • This mechanism provides a potential explanation for previously inexplicable network links.
  • Findings contribute to a mechanistic understanding for systems and synthetic biology development.