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Updated: May 10, 2026

A Flow Cytometry-based Assay to Identify Compounds That Disrupt Binding of Fluorescently-labeled CXC Chemokine Ligand 12 to CXC Chemokine Receptor 4
06:56

A Flow Cytometry-based Assay to Identify Compounds That Disrupt Binding of Fluorescently-labeled CXC Chemokine Ligand 12 to CXC Chemokine Receptor 4

Published on: March 10, 2018

Common structural interactions between the receptors CXCR3, CXCR4 and CXCR7 complexed with their natural ligands,

Susan Costantini1, Raffaele Raucci, Teresa De Vero

  • 1Istituto Nazionale per lo Studio e la Cura dei Tumori, Fondazione Giovanni Pascale, IRCCS, Italy.

Cytokine
|June 19, 2013
PubMed

Insights

The study models CXCR7, CXCR3, and CXCR4 chemokine receptors, revealing structural similarities and differences. This provides a basis for developing drugs targeting these cancer-associated receptors.

Area of Science:

  • Molecular biology
  • Structural biology
  • Cancer research

Background:

  • Chemokine receptors CXCR3, CXCR4, and CXCR7 are over-expressed in various cancers.
  • These receptors bind similar chemokines (CXCL11, CXCL12), posing a challenge for targeted therapies.
  • Understanding the structural basis of these interactions is crucial for drug development.

Purpose of the Study:

  • To model the structure of CXCR7 and its complexes with CXCL11 and CXCL12.
  • To compare these models with existing CXCR3/CXCL11 and CXCR4/CXCL12 models.
  • To identify structural determinants and physicochemical properties governing chemokine-receptor binding.

Main Methods:

  • Computational modeling of CXCR7 and its complexes with CXCL11 and CXCL12.
  • Comparative analysis of CXCR3/CXCL11 and CXCR4/CXCL12 models.
  • Analysis of trans-membrane helices, terminal regions, and extracellular loops.

Main Results:

  • CXCR3, CXCR4, and CXCR7 share similar trans-membrane helices but differ in N/C-terminal regions and extracellular loops.
  • Hydrophobic and electrostatic interactions are predominant in chemokine-receptor binding.
  • CXCL12 exhibits higher binding affinity for CXCR7 than for CXCR4.

Conclusions:

  • The computational strategy effectively models chemokine-receptor interactions.
  • The generated models provide a structural foundation for designing peptides targeting the CXCR3, CXCR4, and CXCR7 trio.
  • This research facilitates the development of novel cancer therapeutics targeting these receptors.
Keywords:
CXCL11CXCL12CXCR3CXCR4CXCR7

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