Researchers studying the dynamics of disease and development are increasingly relying on approaches that enable spatial analysis of RNA and protein markers within tissue. Tools like spatial proteomics and spatial transcriptomics are instrumental in answering complex biological questions.
However, biological processes are driven by changes that occur simultaneously across multiple modalities. Transcriptomics and proteomics provide unique information about the cell types, states, and functions present in a tissue sample. Merging these approaches provides a more nuanced view of tissue biology – uncovering insights that might have been missed with just a single source of data.