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Proteona Collaborating With AI Singapore on Single-Cell Multi-Omic Data Analysis

NEW YORK – Singapore-based start-up Proteona said today it had joined AI Singapore's 100 Experiments program to develop AI tools for analysis of single-cell multi-omic data.

Through the collaboration the company hopes to develop tools to improve the usefulness of its ESCAPE (enhanced single-cell analysis with protein expression) platform, which combines single-cell sequencing with DNA-barcoded antibodies targeting proteins of interest to allow researchers to simultaneously assess protein and gene expression.

The project will be led by Wong Limsoon, professor of computing at the National University of Singapore. Proteona licenses technology underpinning the ESCAPE platform from NUS.

"An immediate outcome of this collaboration will be a tool to improve the quality of results presented to our customers," Proteona CEO Andreas Schmidt said in a statement. "It will save them time in annotating known cell types and correcting for batch effects. This platform is also used internally as a way for building our database of cell types and cell states which is then used for better annotating our customers' data. We will also use these tools for our internal programs in biomarker discovery and diagnostic development."

Financial and other terms of the collaboration were not disclosed.