Mapping tissue remodelling using sequencing-based spatial transcriptomics

In this webinar, we will outline a roadmap for using sequencing-based spatial transcriptomics (e.g. 10x Visium) to extract compositional, organisational, and functional features of tissues, enabling the study of tissue remodelling.  We will show how integrating single-cell transcriptomics with spatial data can increase the effective resolution of 10x Visium, using myocardial infarction as a case study. We will further illustrate how spatial patterns of gene expression can be translated into mechanistic hypotheses about dependencies between tissue structure and function.

This event is part of a broader webinar series on spatial transcriptomics. For more information about the series and its webinars, please visit the following link: “Decoding spatial transcriptomics through sequences, pixels, and bioinformatics”.

Who is this course for?

This webinar is suitable for students, biologists, computational biologists and bioinformaticians interested in sequencing-based spatial transcriptomics. Prior experience in analysing transcriptomic data will be beneficial for fully understanding and following the webinar.

Outcomes

By the end of this webinar, participants will be able to:

• Identify and analyse spatially patterned gene expression.
• Explain how deconvolution methods enhance the effective resolution of spatial transcriptomics data.
• Discuss how tissue niches and spatial organisation can be reconstructed from spatial transcriptomics datasets, and cell-cell interactions inferred based on spatial proximity.
• Compare spatial features across experimental conditions or disease states.

DOI: 10.6019/TOL.sequencing-based-st-w.2026.00001.1

This webinar took place on 04 March 2026. Please click the 'Watch video' button to view the recording.