Cloud-Based Data Management Startup Launched by Wyss Institute

It can be a struggle for scientists to manage, analyze, and share their experimental data. This is largely due to complicated, incompatible, software programs. Combining her experiences in molecular biology and software development, Rani Powers, PhD, former Wyss Institute senior staff scientist, was inspired to create a new platform that makes biological data analysis accessible to research labs. Now, she is launching her new platform, from Harvard’s Wyss Institute, as the founder and CEO of the startup Pluto Biosciences

Pluto is commercializing a cloud-based life sciences data management platform that incorporates technology developed within the Wyss Institute’s Predictive Bioanalytics Initiative. The company plans to make the technology more broadly available to researchers in academia and biotech, offering “an interactive home for all their lab data online.”

“Our mission is to empower every researcher with their own digital lab space,” said Powers. “Whether you’re a PI trying to summarize and report experimental results for a grant, a scientist in pharma looking to compare data against published experiments, or a grad student trying to share results with a collaborator, the platform we built at the Wyss Institute allows you to manage and analyze your projects in one place, speeding up science and reducing busy work.”

“At tech companies, we encounter technical challenges related to data storage and user experience every day. These aren’t easy problems, but they’re addressable with a combination of engineering and design, and solving them is crucial for creating products that users love. So I wondered why we weren’t applying this approach to the software we use for science?” said Powers.

When the COVID-19 pandemic struck, Powers saw first-hand how a platform like the one she envisioned could dramatically speed up the process of innovation. “Seeing so many people collaborating at a large scale to solve a pressing scientific problem was incredible—the Wyss Institute’s innovation machine was firing on all cylinders. But because we were working with collaborators at the University of Maryland and Mount Sinai, a lot of time was spent emailing people back and forth to coordinate a plan for generating, storing, and analyzing results. If we’d had a centralized collaboration platform housing everyone’s experimental data and results, our ability to respond to the pandemic would have been even greater,” said Powers.

The idea turned into a five-month project known internally as OrbitSeq that was launched in February 2021, and became the first technology development project under the Wyss Institute’s Predictive BioAnalytics Initiative. In addition to working directly with Wyss scientists to learn their pain points and design the platform to address them, she was also able to leverage the Wyss Institute’s ecosystem of collaborators and contacts to gain external perspectives and refine the strategy for ultimately spinning the project out as a startup.

Powers knew that it was crucial to design usability into the platform from the beginning. “Although cloud-based bioinformatics and data analysis tools exist for scientists to use, their interfaces are unnecessarily complicated to navigate. In fact, a bioinformatics director at one university told me that he was always having to ‘learn which buttons to ignore’ in these tools to get the result that he wanted. Popular consumer apps have demonstrated that it’s possible to combine simple design with powerful computation, so that was the driving vision for the platform,” she said.

The new platform’s drag-and-drop interface allows users to upload raw low- or high-throughput assay data and perform different types of analyses to generate visualizations ranging from simple bar plots to more detailed volcano plots and heat maps, which can be difficult for people without specific bioinformatics or coding knowledge to create today. More importantly, plots and other results are stored securely in the cloud alongside the raw data used to generate them, so they are fully reproducible, shareable, and always accessible when needed.

But ease-of-use and simple design were only half of the equation. To provide maximum utility, the platform also interfaces with third-party bioinformatics and next-generation sequencing services, eliminating the need for large data transfer systems and other common time-consuming obstacles in the path of scientific discovery and innovation. Beyond an individual lab’s data, the platform includes access to thousands of publicly available experiments for easy comparison, allowing researchers to learn not only about their own results, but also about the broader implications of their work.

“The platform that Rani and her team have built isn’t just another bioinformatics tool—it’s a collaborative online ecosystem that allows scientists to share and build on each other’s advances more quickly and easily in a seamless way that really hasn’t been done for lab-based researchers before,” said the Wyss Institute’s founding director Don Ingber, MD, PhD.