Top Five Applications of STOmics OMNI in Retrospective Studies

25/02/2026

Top Five Applications of STOmics OMNI in Retrospective Studies

 

Archived FFPE tissue collections are invaluable, connecting long-term clinical records with detailed histology. Yet, a deep molecular layer has often been absent. Our FFPE Transcriptomics Solution, the Stereo-seq OMNI platform, changes this dynamic. At STOmics, we engineered this system to unlock the complete spatial architecture of preserved samples, providing a method to add rich genomic context to morphological archives.

 

Revealing Tumor Microenvironment Histories

 

A primary use for the STOmics OMNI solution is in oncology. Biobanks hold extensive cohorts of tumor samples with linked treatment outcomes. Researchers can apply this FFPE Transcriptomics Solution to perform spatial whole-transcriptome analysis, mapping the cellular communities within a tumor's architecture. This allows a direct investigation into how spatial relationships between cancer cells, immune cells, and stroma correlated with clinical responses. Patterns of immune exclusion or heterogeneous drug target expression become visible, offering mechanistic insights from past cases.

 

Mapping Neurological Disorder Progression

 

The platform also advances research into neurodegenerative diseases. Archived human brain tissues are critical resources. Using the STOmics OMNI solution, scientists can profile sections from donors with conditions like Alzheimer's or Parkinson's. The technology enables the spatial mapping of gene expression around pathological featuressuch as plaques or Lewy bodiesat a cellular scale. This can reveal which neuronal or glial populations show specific transcriptional changes in vulnerable regions, providing clues about disease mechanisms from the most relevant human samples.

 

Investigating Past Infectious Disease Events

 

The capability for host-microorganism RNA co-detection positions the FFPE Transcriptomics Solution as a key tool for infectious disease research. Researchers can analyze FFPE samples from historical outbreaks or chronic infections. The STOmics OMNI platform allows them to spatially pinpoint pathogen RNA within tissue nicheslike a viral reservoir in a specific organ zonewhile simultaneously profiling the localized host immune response. This transforms a static pathology slide into a dynamic interaction map for retrospective studies.

 

Validating Spatial Biomarker Patterns

 

Retrospective cohorts are essential for validating discovered biomarkers. A candidate signature identified in fresh tissue must be tested in larger, clinically annotated FFPE archives. The STOmics OMNI solution makes this spatial validation practical. Researchers can assess not just if a biomarker is present, but if its specific spatial expression pattern within the tissue architecturefor instance, at the invasive front of a tumorholds prognostic or predictive value. This strengthens the translational pathway for spatial discoveries.

 

Enhancing Developmental Biology Understanding

 

Finally, this approach aids developmental biology. Rare archival samples of embryonic or fetal tissue can be re-examined. Applying the FFPE Transcriptomics Solution allows scientists to construct spatial gene expression maps of developmental processes. This can illuminate how cell fate decisions are organized in space and how signaling gradients are established, offering unique insights from precious specimens that are seldom available for fresh analysis.

 

These five areas demonstrate how integrated spatial tools can activate dormant biobanks. The enhanced OMNI V1.1 solution delivers a reliable path to single-cell level spatial data from challenging samples. For teams aiming to extract contemporary insights from archival resources, this FFPE Transcriptomics Solution provides a clear and structured approach. STOmics supports this work with the complete STOmics OMNI workflow, from optimized chemistry to dedicated bioinformatics, empowering researchers to conduct detailed spatial interrogations of the past.