Measure marker expression across immune populations.

For your clinical trial, Teiko reports how strongly each gated population expresses the markers in your assay. Use expression to see activation, exhaustion, lineage identity, and treatment-driven shifts on the cells you already enumerate.

The process

1

Choose the markers

Snap targets into a Teiko backbone or CLIA assay.

2

Stain and acquire

Qualified mass or spectral cytometry workflow.

3

Review expression on the dashboard

Per population, per marker, across groups and time.

From assay to expression readouts.

Same gating tree as frequencies and absolute counts, with intensity summaries per marker.

1

Select assay content

Backbone plus your program-specific markers.

Learn about assay development →
2

Run qualified acquisition

Documented precision so small shifts are interpretable.

3

Gate populations

Same tree used for frequencies and absolute counts.

4

Summarize expression

Intensity metrics per marker within each population.

5

Compare in the app

Groups, visits, and subjects on one dashboard.

See marker expression with your data.

Track activation and exhaustion markers inside each population. Compare expression between responders and nonresponders. Follow expression trajectories for the same subjects over time.

Track activation and exhaustion markers

See how marker intensity differs inside each gated population.

AREG expression in CD4+ T Naive, Baseline vs OnTreatment (MCV ArcSinh)

Compare groups and follow trajectories

Compare expression between responders and nonresponders, and follow the same subjects over time.

AREG expression in AREG+ CD4+ T Naive, Baseline vs OnTreatment (MCV ArcSinh)

AREG expression boxplots from the Teiko dashboard (UMN002 demo): CD4+ T Naive and AREG+ CD4+ T Naive.

Explore the dashboard →

Marker expression informs clinical decisions.

Marker expression supports many translational questions. Here are three ways teams put it to work.

Read cell state, not only cell number

Frequencies say who is present. Expression says how those cells look biologically.

Support MoA hypotheses

See whether treatment changes PD-1, activation, or lineage markers on the intended populations.

Bridge to antigen density

When a marker becomes a drug target question, graduate that marker to a calibrated density assay.

Ready to measure marker expression on your assay?

Share the markers and sample type you're working with, and our scientists will help design the right assay with you.

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