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We build technology to watch how drugs work

Our RNA-profiling technology reveals the underlying dynamics of thousands of genes to enable better predictions about how a drug will affect patients.


Where conventional analyses show expression at just a single point in time, our framework uncovers rich cellular dynamics, revealing signaling networks and providing deeper understanding of a drug’s effects.

Where conventional analyses show expression at just a single point in time, our framework uncovers rich cellular dynamics, revealing signaling networks and providing deeper understanding of a drug’s effects.

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 first-of-its-kind 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.


Higher resolution at lower cost

Arpeggio’s technology uses two key innovations to deliver high-resolution time series to our customers. The first is an industrialized biological assay that makes it possible to quickly take high-resolution snapshots of cells’ RNA activity, measuring thousands of genes at once. Second, we developed machine learning algorithms that allow us to conduct experiments at low sequencing depths, keeping costs down and allowing for longer, denser time series.


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 customers explore using our Insights analytics platform.

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Curious what time-series data look like?
Here’s an example from a recent Arpeggio study, looking at RNA expression dynamics following treatment with Estradiol. At around time point 25, you can see RNA expression changing dramatically. Without time-series analysis, these waves of activity would be overlooked. Check back soon for a post on this experiment – we’re really excited to share these results.

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Customized Experimental Design

Work with our scientists to design experiments that drive your research forward. Send us your compound, and we’ll take it from there.

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Time-SEries PROFILING of Compound

Our lab scientists build a time series of high-resolution RNA profiles to measure changes to your biological system.

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SIGNALING NETWORK DISCOVERY

We apply our machine learning algorithms to process your time series and discover causal signaling networks.

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INSIGHTS INTO DRUG MECHANISMs

Use our Insights portal to analyze your experimental results and discover the mechanisms behind your drug.

Contact Us

Have questions? Interested in collaborating with Arpeggio? Let us know!

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About Arpeggio

Arpeggio Bio is located in Boulder, Colorado, housed inside of the University of Colorado’s BioFrontiers Institute.

We are a team of biologists, computer scientists, engineers, and visualization specialists who work together with our customers to deliver tools that solve some of the hardest problems in biology.

Learn more about our team here.

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