vSPACE: exploring virtual spatial representation of articular chondrocytes at the single-cell level

Area of Science:

• Biomedical Engineering
• Genomics
• Bioinformatics

Background:

• Understanding the spatial organization of cells in articular cartilage is crucial for comprehending its function and disease pathogenesis.
• Current spatial transcriptomics technologies provide valuable insights but can be limited in accessibility and scope.

Purpose of the Study:

• To develop a web-based application, vSPACE, for visualizing spatial gene expression patterns in human articular cartilage.
• To emulate spatial transcriptomics by creating virtual 2D representations of single-cell RNA sequencing (scRNAseq) data.

Main Methods:

• vSPACE is implemented using Python Dash, creating a web-based toolbox.
• The application processes scRNAseq data to generate spatial plots of gene expression.
• It allows for the visualization of one or multiple genes simultaneously.

Main Results:

• vSPACE generates virtual 2D plots that represent the spatial distribution of chondrocytes.
• The tool reveals distinct zonal distribution patterns for individual or multiple genes.
• These patterns provide imputed spatial distributions along the zonal axis of articular cartilage.

Conclusions:

• vSPACE provides a novel virtual approach to explore spatial gene expression in human articular cartilage.
• The application facilitates the identification of spatial patterns relevant to cartilage biology and disease.
• It serves as a valuable, accessible tool for researchers in the field.