Vesalius: high‐resolution in silico anatomization of spatial transcriptomic data using image analysis. Issue 9 (6th September 2022)
- Record Type:
- Journal Article
- Title:
- Vesalius: high‐resolution in silico anatomization of spatial transcriptomic data using image analysis. Issue 9 (6th September 2022)
- Main Title:
- Vesalius: high‐resolution in silico anatomization of spatial transcriptomic data using image analysis
- Authors:
- Martin, Patrick C N
Kim, Hyobin
Lövkvist, Cecilia
Hong, Byung‐Woo
Won, Kyoung Jae - Abstract:
- Abstract: 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.Abstract: 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. 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. … (more)
- Is Part Of:
- Molecular systems biology. Volume 18:Issue 9(2022)
- Journal:
- Molecular systems biology
- Issue:
- Volume 18:Issue 9(2022)
- Issue Display:
- Volume 18, Issue 9 (2022)
- Year:
- 2022
- Volume:
- 18
- Issue:
- 9
- Issue Sort Value:
- 2022-0018-0009-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-09-06
- Subjects:
- anatomical territories -- spatial domains -- spatial transcriptomics -- tissue architecture -- tissue heterogeneity
Molecular biology -- Periodicals
Systems biology -- Periodicals
572.8 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1744-4292 ↗
http://www.nature.com/msb/index.html ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.15252/msb.202211080 ↗
- Languages:
- English
- ISSNs:
- 1744-4292
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.856300
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24301.xml