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Generation of Shear Adhesion Map Using SynVivo Synthetic Microvascular Networks
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Mapping the physical network of cellular interactions.

Jean-Charles Boisset1,2, Judith Vivié1,2, Dominic Grün1,2,3

  • 1Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, the Netherlands.

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|May 23, 2018
PubMed
Summary
This summary is machine-generated.

ProximID identifies cellular interactions by analyzing physical proximity and gene expression, enabling the discovery of new cell types and their relationships within tissues without prior assumptions.

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Area of Science:

  • Cellular biology
  • Systems biology
  • Bioinformatics

Background:

  • Cell function is dictated by the cellular microenvironment or niche.
  • Discovering new cell types and interactions is hindered by the need for prior assumptions in niche studies.

Purpose of the Study:

  • To introduce ProximID, a novel approach for constructing cellular networks based on physical cell interactions.
  • To demonstrate ProximID's capability in discovering novel cellular interactions without prior knowledge of cell types.

Main Methods:

  • Utilized single-cell mRNA sequencing combined with physical cell interaction data.
  • Developed the ProximID computational approach to build cellular interaction networks.

Main Results:

  • Identified specific interactions between megakaryocytes and neutrophils, and plasma cells with neutrophil precursors in mouse bone marrow.
  • Discovered a novel interaction between Tac1+ enteroendocrine cells and Lgr5+ stem cells in the small intestine.

Conclusions:

  • ProximID effectively reveals previously unknown preferential cellular interactions and niches.
  • This strategy holds potential for discovering new niches and interactions across various organs.