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Deciphering cell-cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph

Wenyi Yang1, Pingping Wang2, Shouping Xu3

  • 1Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.

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|August 18, 2024
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Summary
This summary is machine-generated.

DeepTalk infers spatial cell-cell communication (CCC) at single-cell resolution by integrating single-cell RNA sequencing and spatial transcriptomics data. This method accurately identifies cell types and deconvolution for improved understanding of biological systems.

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Area of Science:

  • Computational Biology
  • Genomics
  • Systems Biology

Background:

  • Understanding cell-cell communication (CCC) is vital for deciphering complex cellular dynamics and regulatory networks.
  • Accurate inference of spatial CCC at single-cell resolution presents a significant computational challenge.

Purpose of the Study:

  • To develop a versatile computational method for inferring spatial CCC at single-cell resolution.
  • To integrate single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data for enhanced CCC analysis.

Main Methods:

  • Introduced DeepTalk, a novel method employing graph attention networks (GAT) for data integration.
  • Utilized GAT for accurate cell-type identification in single-cell ST data and deconvolution of spot-based ST data.
  • Employed subgraph-based GAT to capture multi-level cellular connections for spatially resolved CCC inference.

Main Results:

  • DeepTalk demonstrated excellent performance in identifying meaningful spatial CCCs across diverse datasets.
  • The method achieved superior accuracy in dissecting cellular interactions within complex biological processes.
  • Cross-platform validation confirmed the robustness and generalizability of DeepTalk.

Conclusions:

  • DeepTalk provides a powerful and versatile approach for single-cell resolution spatial CCC inference.
  • The integration of scRNA-seq and ST data via GAT significantly advances the field of spatial interactomics.
  • DeepTalk facilitates a deeper understanding of cellular behavior and biological system organization.