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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-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...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

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Related Experiment Video

Updated: Jun 16, 2026

Inducible LAP-tagged Stable Cell Lines for Investigating Protein Function, Spatiotemporal Localization and Protein Interaction Networks
11:04

Inducible LAP-tagged Stable Cell Lines for Investigating Protein Function, Spatiotemporal Localization and Protein Interaction Networks

Published on: December 24, 2016

High-throughput identification of protein localization dependency networks.

Beat Christen1, Michael J Fero, Nathan J Hillson

  • 1Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.

Proceedings of the National Academy of Sciences of the United States of America
|February 24, 2010
PubMed
Summary

This study developed a high-throughput microscopy screen to identify bacterial genes affecting protein localization during the cell cycle. The screen identified 52 new mutants impacting the localization of key cell cycle proteins in Caulobacter crescentus.

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Area of Science:

  • Microbiology
  • Cell Biology
  • Genetics

Background:

  • Bacterial cell cycle progression relies on precise spatial and temporal localization of proteins and DNA.
  • Dynamic protein localization is crucial for organelle development, asymmetry, and chromosome replication in bacteria like Caulobacter crescentus.

Purpose of the Study:

  • To identify novel genes regulating protein localization during the bacterial cell cycle using a high-throughput screening approach.
  • To investigate the PleC/DivJ localization network and regulatory links involving the pili assembly protein CpaE.

Main Methods:

  • A high-throughput fluorescence microscopy screen was employed to analyze transposon-generated mutant libraries.
  • Automated image analysis quantified localization patterns of three fluorescently tagged proteins (PleC, DivJ, CpaE) in 854 mutant strains.
  • Cluster analysis identified mutations affecting protein localization patterns.

Main Results:

  • 52 mutant strains exhibiting altered localization patterns of PleC, DivJ, and CpaE were identified.
  • The screen successfully identified previously known proteins involved in protein localization.
  • Insights into the PleC/DivJ localization network and CpaE regulation were gained.

Conclusions:

  • A robust high-throughput screening methodology for bacterial protein localization was established.
  • This approach can be adapted for any sequenced bacterium, enabling comparative studies of localization networks.
  • The findings contribute to understanding bacterial cell cycle regulation and evolutionary conservation of localization pathways.