Start with Teiko's validated 33- or 41-marker mass cytometry panel and add up to 10 custom markers to measure target engagement, pathway activation, and pharmacodynamic response. Track phospho-signaling directly with readouts like pSTAT3, pERK1/2, and pS6.
Identify the phospho markers to include and decide whether the panel will be built for whole blood or PBMCs.
Choose the antibody clones and reagents needed, then test concentrations to determine the staining conditions that give the best signal quality.
Test permeabilization conditions to get clean signal with strong cell recovery.
Compare stimulated and unstimulated samples.
pSTAT3 Validation →Bring the validated markers and conditions together into a finished panel and define how the data will be displayed and interpreted.
Check out our assay validation report →STAT3 is phosphorylated when a cell is actively signaling. At that point, STAT3 becomes pSTAT3. By stimulating with IL-6, we activate the pathway, providing a signal for detection. We then use TokuKit to stabilize the signal and measure pSTAT3 levels. When creating your fit-for-purpose panel, we apply this method for each marker, identifying the appropriate stimulation conditions required to activate each one.
TokuKit fixes samples at the point of collection, locking in the phospho proteins before shipping or processing can change them, so they're ready for cytometry analysis. Check out our TokuKit validation studies on mass and spectral, including a list of 120+ validated markers and clones.
See validated markers & stability data →
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Once your panel is built, we run your samples and track total and phospho protein levels across your study endpoints. Timepoints shown here are just one example, all visualized on your dashboard, interactive and shareable.
CD4+ T cell pSTAT3 signal across a study, one box per timepoint.

Shows median channel value (MCV) for each marker on each cell type. Higher values indicate stronger expression.

Phospho flow supports many translational, biomarker, and clinical questions. Here are three ways teams put it to work.
Comparing pathway activation before and after treatment gives an early signal of who is and isn't responding, well before clinical outcomes play out.
By measuring the exact signaling step a drug is meant to block, you can confirm it's working as intended and compare candidate compounds side by side.
Changes in phospho signal can track disease status over time, giving a clear readout of whether a patient is moving toward remission.