The company said that it plans to use funds from its recent $18 million Series B round to drive instrument sales and develop AI tools for data analysis.
Using two-sample Mendelian randomization and colocalization analysis along with plasma proteomics, they identified 111 potential protein-disease links.
Instead of measuring metabolites directly, the researchers used mass cytometry and multiplexed ion beam imaging to measure proteins involved in metabolic regulation.
Working with ETH Zurich researchers, the firm has incorporated machine learning to improve the platform's performance in complex organisms like humans.
The company highlighted a recent study by the ENCODE consortium as an example of the utility of its streamlined technique for studying RNA-protein binding.
Recently developed deep learning tools and other software packages have streamlined DIA mass spec workflows and are driving uptake within proteomics cores.
The Singapore-based immune profiling firm aims to open a US facility by the end of the year and begin running projects out of it in the first quarter of 2021.
The pair are working on reagents and mass spec approaches to improve isolation and analysis of crosslinked peptides for protein interaction and structural studies.
