Vesalius: high‐resolution in silico anatomization of spatial transcriptomic data using image analysis

• Published in: Molecular systems biology Vol. 18; no. 9; pp. e11080 - n/a
• Main Authors: Martin, Patrick C N, Kim, Hyobin, Lövkvist, Cecilia, Hong, Byung‐Woo, Won, Kyoung Jae
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.09.2022; EMBO Press; John Wiley and Sons Inc; Springer Nature
• Subjects: anatomical territories; Animals; Astrocytes; Bar codes; Brain; Cell interactions; Colon; Datasets; Domains; EMBO10; EMBO22; Gene expression; Image analysis; Image processing; Medical imaging; Method; Methods; Mice; Morphology; Oligodendrocytes; Retrieval; Spatial data; spatial domains; spatial transcriptomics; tissue architecture; tissue heterogeneity; Tissues; Transcriptome - genetics; Transcriptomics; tissue heterogeneity; spatial domains; tissue architecture; anatomical territories; spatial transcriptomics
• ISSN: 1744-4292; 1744-4292
• DOI: 10.15252/msb.202211080

Characterization of tissue architecture promises to deliver insights into development, cell communication, and disease. In silico spatial domain retrieval methods have been developed for spatial transcriptomics (ST) data assuming transcriptional similarity of neighboring barcodes. However, domain retrieval approaches with this assumption cannot work in complex tissues composed of multiple cell types. This task becomes especially challenging in cellular resolution ST methods. We developed Vesalius to decipher tissue anatomy from ST data by applying image processing technology. Vesalius uniquely detected territories composed of multiple cell types and successfully recovered tissue structures in high‐resolution ST data including in mouse brain, embryo, liver, and colon. Utilizing this tissue architecture, Vesalius identified tissue morphology‐specific gene expression and regional specific gene expression changes for astrocytes, interneuron, oligodendrocytes, and entorhinal cells in the mouse brain. Synopsis Vesalius is a computational tool for recovering tissue territories from spatial transcriptomics data using image processing technology. Vesalius illustrates how uniform tissue territories can help understanding tissue heterogeneity. Vesalius leverages image analysis to investigate spatial transcriptomics data by embedding the transcriptome into RGB image arrays. Vesalius provides uniform tissue territories from high resolution spatial transcriptomics data. Downstream analysis of isolated tissue territories reveals the finer details of spatial patterning as well as tissue specific gene expression within cell types. Graphical Abstract Vesalius is a computational tool for recovering tissue territories from spatial transcriptomics data using image processing technology. Vesalius illustrates how uniform tissue territories can help understanding tissue heterogeneity.