Teiko releases Yokozuna: Absolute Cell Counts, Unified “Immune Changes” Tab, Smarter Memory, Now on Your Dashboard

Yokozuna | 横綱 | Champion Sumo Wrestler

We’re excited to announce an update to our CLIA-validated cytometry service, enhancing your ability to analyze immune cell dynamics with greater precision and clarity. This update is now available for customers using our TokuKit fixed whole blood samples.

Key Updates

1. Expanded Data Visualization: Absolute Cell Counts, Relative Cell Frequencies, and Event Counts
   Our dashboard now includes three measurements: absolute cell counts (measured in cells per uL), relative cell frequencies (measured in percentages, i.e. % of Leukocytes), and event counts recorded by the instrument.
   • You can now:
     • View absolute cell counts for all gated populations and functional subsets on app.teiko.bio.
     • Access boxplots, stacked bars, and other visualizations showing absolute cell counts, to assess treatment response, track immune recovery, and correlate cell numbers with clinical outcomes more accurately.
     • Identify statistically significant differences in absolute cell counts between groups or over time, offering deeper insights into your drug’s mechanism of action.
   • This feature is currently exclusive to customers using Teiko’s TokuKit on fixed whole blood samples. To access these enhancements, ensure your samples are prepared using TokuKit, and securely integrate your CRO’s absolute cell count data with our dashboard. Stay tuned for future development of this feature on PBMCs.
   • Why even bother to look at absolute cell counts?
     • Absolute cell counts provide precise quantification of immune cell numbers per microliter of blood, addressing the limitations of relying solely on relative frequencies. This update helps you detect subtle changes in immune populations, monitor therapeutic efficacy, develop robust biomarkers, and identify safety concerns with greater confidence.

2. Unified Immune Changes Tab: We’ve simplified our Dashboard by consolidating the “Immune Changes Over Time” and “Immune Differences” tabs into a single, intuitive “Immune Changes” tab. Under one tab, you can compare changes in immune cell populations over time and across groups (e.g., responders vs. non-responders), streamlining workflow and data interpretation. When you click an endpoint that has time, you’ll see a drop-down showing specific time-series toggles, like “Connect Timepoints by Subject.” When you click an endpoint that’s not time-based, these will disappear.

3. Smarter Memory: Now, if you select a set of cells, i.e. “Switched B Memory” in Population Frequencies, and switch tabs to Population Counts, we’ll remember the settings you picked. This saves you time so you don’t have to hunt and click through menus to get your desired results.