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The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
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Structural basis for cell surface patterning through NetrinG-NGL interactions.

Elena Seiradake1, Charlotte H Coles, Pavel V Perestenko

  • 1Division of Structural Biology, CR-UK Receptor Structure Research Group, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.

The EMBO Journal
|September 28, 2011
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Summary
This summary is machine-generated.

This study reveals how NetrinG proteins and their ligands (NGLs) form specific connections in the brain. Understanding this neuronal recognition system offers insights into neuropsychological disorders.

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Published on: October 11, 2019

Area of Science:

  • Neuroscience
  • Structural Biology
  • Molecular Biology

Background:

  • Brain wiring relies on precise cell connections mediated by surface protein interactions.
  • NetrinGs and NetrinG Ligands (NGLs) are key players in neuronal recognition, but their structures and interactions are poorly understood.

Purpose of the Study:

  • To elucidate the molecular mechanisms underlying NetrinG-NGL interactions.
  • To provide a structural basis for selectivity in neuronal connections.
  • To explore the potential for engineering these interactions for therapeutic applications.

Main Methods:

  • Comprehensive crystallographic analysis of NetrinG1-NGL1, NetrinG2-NGL2 complexes, and unliganded NetrinG2 and NGL3.
  • Engineering of NGL surfaces to modify binding affinities.
  • Cellular patterning assays to assess the functional impact of engineered interactions.

Main Results:

  • Detailed structural insights into NetrinG-NGL complexes, highlighting three critical NetrinG loops for specificity.
  • Demonstrated successful engineering of NGL surfaces for custom NetrinG affinities.
  • Showcased how NetrinG-binding selectivity can drive cell sorting into distinct surface domains.

Conclusions:

  • A molecular model for selectivity-based patterning in neuronal recognition systems.
  • Provides a foundation for understanding the role of NetrinG-NGL interactions in brain development and function.
  • Suggests potential therapeutic strategies targeting these interactions in neuropsychological disorders.