Scalable spatial single-cell transcriptomics and translatomics in 3D thick tissue blocks

Abstract excerpt

Characterizing the transcriptional and translational gene expression patterns at the single-cell level within their three-dimensional (3D) tissue context is essential for revealing how genes shape tissue structure and function in health and disease. However, most existing spatial profiling techniques are limited to 5-20 µm thin tissue sections. Here, we developed Deep-STARmap and Deep-RIBOmap, which enable 3D in...

Topics

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• Cancer Cells and Metastasis
• Cell Image Analysis Techniques
• Gene Expression Profiling
• Molecular Biology Techniques and Applications
• Phenotype
• Single-cell and spatial transcriptomics
• Technology
• Transcriptome

Identifiers and source

Literature Corpus work

49107233-21f4-5751-b10b-7497d710eae8

DOI

10.1101/2024.08.05.606553