3D-Cardiomics

3D-Cardiomics visualizes spatial transcriptomics data in three dimensions to enable exploration and interpretation of transcriptome-wide gene expression patterns across cardiac sub-compartments in human and mouse heart datasets.

Key Features:

• 3D Visualization: Provides true-to-life three-dimensional representations of spatial gene expression within cardiac tissue.
• Spatial transcriptomics integration: Integrates spatial transcriptomics measurements with three-dimensional modeling to preserve spatial context.
• Transcriptome-wide analysis: Enables interrogation of transcriptome-wide gene expression patterns to identify spatially distributed gene subsets.
• Cardiac sub-compartment mapping: Maps gene expression across cardiac sub-compartments in human and mouse hearts and has been applied to mouse adult heart data.

Scientific Applications:

• Cardiac development and physiology: Enables analysis of developmental and physiological spatial gene expression patterns during homeostasis and disease.
• Regulatory mechanism discovery: Facilitates identification of spatial regulatory mechanisms by revealing localized gene expression patterns.
• Therapeutic target identification: Supports identification of potential therapeutic targets for cardiovascular diseases based on spatial expression patterns.

Methodology:

Combines spatial transcriptomics data with three-dimensional modeling techniques to map and analyze gene expression patterns across cardiac sub-compartments; applied to mouse adult heart datasets.