Deliverome is a nonprofit startup creating an open, quantitative atlas of the human surfaceome that maps receptor abundance, specificity, internalization, and trafficking across tissues, cell types, and disease states. By integrating mass‑spectrometry and functional genomics data, the project provides a unified, publicly available dataset to help researchers identify and validate precision delivery targets beyond current liver‑focused therapies. The resource is released quarterly along with methods and reagents.
Funding
Funding not disclosed
Founders
Product
Problem
Targeted drug delivery is limited by a lack of comprehensive, quantitative data on cell‑surface receptors that are specific, abundant, and capable of internalizing and routing therapeutic cargo. Existing resources rely on RNA expression or fragmented protein datasets, making it difficult to identify and validate receptors for precision delivery beyond the liver.
Solution
Deliverome addresses this gap by creating an open, publicly available atlas of the human surfaceome that quantifies receptor abundance, tissue and disease specificity, internalization efficiency, and intracellular trafficking routes. The project combines absolute quantitative mass‑spectrometry with pooled functional‑genomics screens to generate unified, protein‑level data across tissues, cell types, and disease states. By ranking receptors on these three key parameters, the atlas enables researchers to select and engineer delivery targets that are both specific to the intended cells and effective at transporting payloads to the desired intracellular compartment. All data, methods, and reagents are released openly on a quarterly basis, supporting community‑wide efforts to expand precision delivery beyond current liver‑focused therapies.
Target Audience
Primary users are academic and industry researchers developing targeted therapeutics, such as antibody‑drug conjugates, nanocarriers, and gene‑editing platforms, who require detailed surfaceome information to design precision delivery systems.
Features
- Quantitative DIA mass‑spectrometry and glycoprotein enrichment pipelines providing absolute copy numbers of surface proteins
- Enrichment‑based mass‑spectrometry and functional‑genomics screens that rank receptors by internalization efficiency
- Pooled functional‑genomics assays mapping post‑internalization trafficking routes (endosome, lysosome, cytosol, nucleus, or recycling)
- Integrated dataset linking abundance, specificity, internalization, and trafficking for ~2,300 non‑olfactory surface proteins
- Open-access release of data, protocols, and validated reagents with quarterly updates
- Capability to explore >2 million bispecific receptor pair combinations for engineered delivery strategies