SEATTLE -- Parse Biosciences, a leading provider of accessible and scalable single cell sequencing solutions, announced the generation of the world’s largest single cell dataset to date, totaling 100 million cells. This impressive milestone was achieved in just one month using Parse Biosciences’ GigaLab and done in partnership with Vevo Therapeutics to advance their AI-based drug discovery efforts.

The first-of-its-kind dataset, named Tahoe-100, comprises 100 million cells and 60,000 conditions with 1,200 drug treatments across 50 different tumor models. In addition to the AI drug discovery dataset generated with Vevo, the Parse GigaLab is currently working on large-scale projects for a variety of applications including additional perturbation screens, data for generative AI models, and atlasing for population studies.

“This dataset is an important step forward for the Vevo team and the Mosaic platform,” said Johnny Yu, PhD, Chief Scientific Officer and Co-founder of Vevo. “Over the past 2 years, we’ve refined our platform and with access to the Parse GigaLab, we can now generate the data needed to power AI-based drug discovery at a massive speed and scale. This will help us accelerate our ability to uncover new treatments more rapidly.”

By leveraging Parse’s Evercode™ technology, the GigaLab is able to deliver massive single cell datasets, addressing researchers’ growing demand for scale. In addition to scale and capacity, the data is being generated with remarkable speed. For the Tahoe-100 dataset generated with Vevo, the wet lab portion of the workflow was completed in just 1 month. Ultra low-cost and high-quality sequencing data for this foundational data is enabled by the high throughput UG 100™ sequencing platform in collaboration with Ultima Genomics.

“This project demonstrates the GigaLab’s ability to deliver speed, quality, and immense scalability,” said Alex Rosenberg, CEO and Co-founder of Parse Biosciences. “We are incredibly excited to bring the power of GigaLab to Vevo and other biopharma partners, enabling groundbreaking discoveries and advancing drug development.”