Start with Teiko's validated panels and add custom markers to measure target engagement, pathway activation, and pharmacodynamic response. Track phospho-signaling directly with readouts like pSTAT3, pERK1/2, and pS6.
Run each sample on a fit-for-purpose cytometry panel that can profile your desired immune cell populations.
Design a fit-for-purpose panel around your specific target, pathway, or mechanism of action.
Get reproducible pharmacodynamic insights without building and validating a panel yourself.
From selecting targets to a validated phospho flow panel.
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.
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.
Capture phospho state at collection to prevent degradation. TokuKit fixes samples at the point of collection, locking in the phospho proteins before shipping or processing can change them, so they are 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 and stability data →
STAT3 and pSTAT3 histogram overlays: unstimulated vs. IL-6 stimulated whole blood, TokuKit-fixed
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pSTAT3+ gating: total STAT3 is unchanged, pSTAT3 increases with IL-6 stimulation

TokuKit-validated clones for phospho flow
Once your panel is built, we run your samples and track total and phospho protein levels across your study endpoints. Timepoints shown here are one example, all visualized on your dashboard, interactive and shareable.
CD4+ T cell pSTAT3 signal across a study, one box per timepoint.

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 is not responding, well before clinical outcomes play out.
By measuring the exact signaling step a drug is meant to block, you can confirm it is 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.
Share the markers you are interested in, and we will take it from there, delivering you the right custom panel.