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Related Concept Videos

Regulated Protein Degradation02:58

Regulated Protein Degradation

7.4K
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...
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The Proteasome01:13

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Eukaryotic cells can degrade proteins through several pathways. One of the most important among these is the ubiquitin-proteasome pathway. It helps the cell eliminate the misfolded, damaged, or unwarranted cytoplasmic proteins in a highly specific manner.
In this pathway, the target proteins are first tagged with small proteins called ubiquitin. This involves participation of a series of enzymes including— E1 (ubiquitin-activating enzyme), E2 (ubiquitin-conjugating enzyme), and E3...
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Updated: Jul 17, 2025

Single-Cell Quantification of Protein Degradation Rates by Time-Lapse Fluorescence Microscopy in Adherent Cell Culture
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Evaluating single-cell variability in proteasomal decay.

Sukanya Das1, Abhyudai Singh2, Premal Shah1

  • 1Department of Genetics, Rutgers University.

Biorxiv : the Preprint Server for Biology
|September 4, 2023
PubMed
Summary
This summary is machine-generated.

Gene expression noise arises from protein decay variability. This study reveals significant cell-to-cell differences in protein degradation rates, impacting gene expression stochasticity.

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Area of Science:

  • Molecular Biology
  • Cell Biology
  • Biophysics

Background:

  • Gene expression exhibits inherent variability (noise) in protein and mRNA levels, even in identical cells.
  • This noise is often attributed to transcription and translation, overlooking protein decay dynamics.
  • Understanding protein decay is crucial for a complete model of gene expression noise.

Conclusions:

  • Protein decay rates exhibit significant variability at the single-cell level.
  • Stochasticity in protein decay contributes to overall gene expression noise.
  • Accurate modeling of gene expression noise requires incorporating the complex kinetics of protein decay.