Elucidating molecular regulatory rules of nanoparticle biological identity via standardized deep proteomics.

A standardized deep proteomics database spanning 42 diverse nanomaterials shows protein corona formation is property-dependent, not random adsorption, enabling rule-based prediction of nanoparticle biological identity.

• Why it matters: Molecular links between synthetic nanoparticle design and protein corona composition are unclear because proteomics datasets are fragmented and inconsistent.
• What they did: The study used a standardized deep proteomic database of 42 nanomaterials to derive selection rules, including charge-driven recruitment of adhesion proteins for Itgav-mediated endocytosis, PEGylation-linked depletion of complement and coagulation factors, and geometry/lysine-content–linked protein selection.
• The result: Material-specific coronas can rebalance the serum proteome and enable detection of low-abundance disease biomarkers, supporting programmable, predictable nanomedicine identities.

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