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A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. The space truss is widely used in various construction projects due to its adaptability and capacity to withstand complex loads.
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Characterizing cell-type spatial relationships across length scales in spatially resolved omics data.

Rafael Dos Santos Peixoto1,2, Brendan F Miller1,2, Maigan A Brusko3

  • 1Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21211.

Biorxiv : the Preprint Server for Biology
|September 24, 2024
PubMed
Summary

A new R package, CRAWDAD, quantifies multi-scale cell-type spatial relationships in tissues using spatially resolved omics (SRO) data. This tool aids in understanding tissue organization and comparing spatial patterns across samples.

Keywords:
colocalizationsingle cellspatial omicsspatial relationshipsspatial subsetting

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Area of Science:

  • Spatial biology
  • Computational biology
  • Bioinformatics

Background:

  • Spatially resolved omics (SRO) technologies reveal cell types and their tissue organization.
  • Understanding multi-scale cell-type spatial relationships is crucial for tissue function insights.

Purpose of the Study:

  • To introduce CRAWDAD, an open-source R package for quantifying multi-scale cell-type spatial relationships.
  • To demonstrate CRAWDAD's utility in analyzing diverse SRO datasets and comparing spatial patterns.

Main Methods:

  • Development of CRAWDAD, an R package for Cell-type Relationship Analysis Workflow Done Across Distances.
  • Application of CRAWDAD to simulated and real SRO datasets from various tissues and technologies.
  • Evaluation of CRAWDAD's performance against existing spatial analysis methods.

Main Results:

  • CRAWDAD successfully recapitulated expected cell-type spatial relationships in diverse SRO datasets.
  • The package enabled multi-scale characterization and comparison of spatial relationships across samples.
  • Analysis of human spleen SRO data identified consistent and sample-specific cell-type spatial patterns.

Conclusions:

  • CRAWDAD provides quantitative metrics for identifying, characterizing, and comparing cell-type spatial relationships.
  • The package facilitates deeper insights into tissue organization and function through multi-scale spatial analysis.
  • CRAWDAD is a valuable tool for researchers utilizing spatially resolved omics data.