Stereo-CITE Spatial Protein & RNA

Stereo-CITE enables the simultaneous measurement of gene expression and protein markers within the same tissue section, providing a spatially resolved view of cellular phenotypes and tissue organisation. By combining whole-transcriptome profiling with high-plex antibody-based protein detection, the approach supports integrated multiomic analysis at single-cell to subcellular resolution.

Key capabilities:
•    Spatial multiomics in situ: Concurrent profiling of the whole transcriptome alongside 100+ protein markers on a single tissue section
•    High spatial resolution: Subcellular mapping of RNA and protein expression across centimetre-scale tissues
•    Integrated biological insight: Joint analysis of RNA and protein data improves cell type identification and spatial clustering

Built on the Stereo-seq platform, Stereo-CITE captures both mRNA and antibody-derived tags across large tissue areas, allowing researchers to examine molecular patterns in their native spatial context. This enables more detailed interrogation of cell states, interactions, and microenvironments than transcriptome- or protein-only approaches alone.

Applications
Stereo-CITE is well suited to studies of tissue heterogeneity, tumour microenvironments, and biomarker discovery, where understanding both transcriptional and protein-level regulation in spatial context is critical.

Sample Requirements
Stereo-CITE works with fresh frozen tissue sections, preserving both RNA integrity and protein epitopes for co-detection. Sample quality is critical, and the SAGC team can provide guidance on tissue collection, embedding, and sectioning to ensure optimal results.
 
Workflow Overview
SAGC offers a full-service workflow, including:
·    Experimental design consultation and antibody panel selection (e.g. compatible TotalSeq™ panels)
·    Tissue processing, staining, and imaging (through local histology collaborators)
·    Library preparation for transcriptome and protein outputs
·    Sequencing via DNBSEQ-T7
·    Bioinformatic analysis, including spatial visualisation and multiomic integration