Spatial Omics Platform
The Spatial Omics Platform is an interdisciplinary, cross-facility initiative that integrates histopathology, spatial transcriptomics, spatial proteomics, advanced digital microscopy, and biostatistics to deliver high-resolution, spatially resolved molecular data. The platform enables precise localization and quantification of genes, proteins, and other biomolecules within intact tissues. This collaborative framework supports comprehensive studies of tissue architecture and cellular microenvironment, driving breakthroughs in complex biological systems and disease research.
Please contact spatialomics@irbbarcelona.org to start discussing and planning your project.
Support in experimental design
Expert guidance to define the most appropriate spatial and single-cell strategies for your biological question, including technology selection and controls.
Sample preparation
Tissue collection, embedding, sectioning, and quality control, supported by technology-specific sample preparation workflows for optimal performance across spatial genomics, proteomics, and imaging platforms.
Spatial transcriptomics analysis
Spatial transcriptomics solutions, from experimental setup to downstream data interpretation, enabling high-resolution mapping of gene expression within tissue context.
- Targeted imaging-based spatial transcriptomics (Xenium-10x Genomics)
High-plex, single-cell–resolution RNA detection using targeted gene panels:- Pre-designed gene panels: panels of <500 genes for targeted biology (optional: protein subpanels) for multiomic analysis) or broad discovery panels of 5k genes for deep spatial profiling
- Custom panels: Add up to 100 genes to existing panels or build fully custom gene panels up to 480 genes.
Learn more about ready-to-use and custom panels here.
- Untargeted sequencing-based spatial transcriptomics (Stereo-seq- STOmics) (available soon).
Genome-wide spatial transcriptomics with ultra-high spatial resolution.
Spatial proteomics analysis
Spatially resolved protein profiling to study cell states, signalling pathways, and tissue architecture beyond transcriptomics.
- MALDI imaging analysis (NeoFlex TOF/TOF - Bruker) (available soon)
- Single-cell proteomics
- Deep Visual Proteomics (available soon)
- Multiplex IF (Phenoimager - Akoya)
Multiplex immunofluorescence using Leica BOND RX for automated staining and PhenoImager (Akoya) for high-resolution multiplex imaging, enabling simultaneous detection of multiple protein markers within intact tissue context. Currently, our workflows support 6 markers + DAPI studies, and we are working to expand to up to 8 markers + DAPI.
Data analysis
Advanced bioinformatics and data analysis support, including spatial data integration, visualization, statistical analysis, and biological interpretation.
