Purensis is building an integrated platform to generate deep, unbiased spatial proteomic data at scale.
Most approved drugs target proteins, but proteomic data measured spatially across human tissue at scale does not currently exist. Public spatial datasets are dominated by transcriptomics, narrow marker panels, or small cohorts. Models for target discovery, response prediction, and tissue biology are constrained by the absence of this data.
Purensis generates spatial proteomic data from human tissue. Each region pairs precise spatial location with deep proteomic measurement across entire tissue sections. Measurements are produced without panel preselection, at depths and throughput not feasible by manual methods.
Scaled.
Automated, unattended operation across full tissue cohorts.
Unbiased.
Region agnostic measurement. No preselected antibody panel.
Deep.
Proteome scale measurement per region. Thousands of proteins.
Working on AI for drug discovery, or generating spatial data at scale? Contact us.
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