Protocol for high-resolution 3D spatial transcriptomics using Open-ST

Abstract

Spatial transcriptomics (ST) is fundamental for understanding molecular mechanisms in health and disease. Here, we present a protocol for efficient and high-resolution ST in 2D/3D with Open-ST. We describe all steps for repurposing Illumina flow cells into spatially barcoded capture areas and preparing ST libraries from stained cryosections. We detail the computational workflow for generating 2D/3D molecular maps (“virtual tissue blocks”), aligned with histological data, unlocking molecular pathways in space. Open-ST is applicable to any tissue, including clinical samples. For complete details on the use and execution of this protocol, please refer to Schott et al. 1 • Convert NGS flow cells into high-resolution spatial transcriptomics capture areas • Generate spatial transcriptomics libraries from stained and imaged cryosections • Modular pipeline for preprocessing, automated alignment, and segmentation • Create 3D virtual tissue blocks from serial tissue sections using open-source tools Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Spatial transcriptomics (ST) is fundamental for understanding molecular mechanisms in health and disease. Here, we present a protocol for efficient and high-resolution ST in 2D/3D with Open-ST. We describe all steps for repurposing Illumina flow cells into spatially barcoded capture areas and preparing ST libraries from stained cryosections. We detail the computational workflow for generating 2D/3D molecular maps (“virtual tissue blocks”), aligned with histological data, unlocking molecular pathways in space. Open-ST is applicable to any tissue, including clinical samples.