By leveraging spatial coordinate information with expression levels of ligands and target receptors, computational methods developed for analysing spatial transcriptomics data can predict biologically relevant signalling activity. This activity is important for healthy tissue function and disease pathogenesis.

This webinar will present an overview of published computational approaches and databases used to infer spatially confined secreted and/or cell-contact mediated signalling, with a particular focus on data generated from the 10X Genomics Visium assay. Furthermore, methods to link inferred cell signalling with specific cell types and downstream pathway activation will be briefly explored.

Who is this course for?

This webinar is suitable for any researcher in life sciences who is interested in exploring spatial omics and learning about relevant methods and resources . No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful.

This event is part of a webinar series focusing on concepts, resources, and recent advancements in the field of spatial omics. For details on all topics covered in this series and registration information, please visit the following link: Advances in spatial omics: exploring concepts, innovations, and resources.

Outcomes

By the end of the webinar you will be able to:

• Identify the strengths and limitations of popular spatial transcriptomics assays for profiling cell-cell communication
• Explore recently developed computational methods for inferring biologically relevant ligand-receptor activity in the tissue space
• Integrate predicted cell-signalling activity with other data layers, such as cell type abundances and inferred pathway activation

DOI: 10.6019/TOL.cell-cell-comms-w.2024.00001.1

This webinar, hosted on Zoom Webinar, is free to attend, but you need to register for a place beforehand, using the 'Register' button. Once registered, you will receive a confirmation email with a link to join the webinar.