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Ao Chen:
A High Resolution, High Throughput Approach for Subcellular Spatial Omics

Date: 28-01-2023    Supervisor: Michael Lisby



Stereo-seq is a new technology that can map the gene expression of individual cells in a tissue and show where they are located. This can help us understand how different cells interact with each other and form complex structures and functions. For example, Stereo-seq can reveal how different types of cells in the mouse brain develop and communicate with each other during organ formation. Stereo-seq can also identify cell-cell interactions in plants, fish, and fruit flies.

A possible metaphor for Stereo-seq is that it is like a camera that can take high-resolution pictures of a crowd of people and record what they are saying and doing. By analyzing these pictures, we can learn about the diversity, behavior, and relationships of the people in the crowd. We can also compare different pictures taken at different times or places to see how the crowd changes over time or in different environments. Stereo-seq analyses cell information inside the tissue instead of people in the crowd. 

Stereo-seq has potential clinical applications for studying human diseases that involve abnormal cell-cell interactions, such as cancer, inflammation, and neurodegeneration. By comparing the spatial transcriptomes of healthy and diseased tissues, we can discover new biomarkers, targets, and mechanisms for diagnosis and treatment.