We build better drugs by discovering mechanism of action sooner.
Our RNA-profiling technology reveals the underlying dynamics of thousands of genes to enable better predictions about how a drug will affect patients.
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Time-series profiling
Conventional tools in biology provide an incomplete picture of how biological systems work, leading to poor predictions about a drug’s effects. Our technology creates biological movies: time-series profiles that provide a comprehensive view on what a cell is doing — and what it will do next. This method of profiling enables far more accurate predictions about how drugs will affect a system.
A new way to look at biology
Most biological experiments compare cellular state at just two timepoints: before and after treatment. What these experiments are missing is everything that happens in between and why. Our algorithms recover causal signaling networks inside the cell, which our partners explore using our Insights analytics platform.
Curious to see the data?
Read more about a recent Arpeggio study looking at RNA expression dynamics following treatment with Estradiol. Midway through the experiment, you can see RNA expression changing dramatically. Without time-series analysis, these waves of activity would be overlooked. Click here to check out Joey’s blog post.
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Have questions? Interested in partnering with Arpeggio? Let us know!