Jörg Kuharev

In biological fluids, proteins associate with nanoparticles, leading to a protein "corona" defining the biological identity of the particle. However, a comprehensive knowledge of particle-guided protein fingerprints and their dependence on nanomaterial properties is incomplete. We studied the long-lived ("hard") blood plasma derived corona on monodispersed amorphous silica nanoparticles differing in size (20, 30, and 100 nm). Employing label-free liquid chromatography mass spectrometry, one- and two-dimensional gel electrophoresis, and immunoblotting the composition of the protein corona was analyzed not only qualitatively but also quantitatively. Detected proteins were bioinformatically classified according to their physicochemical and biological properties. Binding of the 125 identified proteins did not simply reflect their relative abundance in the plasma but revealed an enrichment of specific lipoproteins as well as proteins involved in coagulation and the complement pathway. In contrast, immunoglobulins and acute phase response proteins displayed a lower affinity for the particles. Protein decoration of the negatively charged particles did not correlate with protein size or charge, demonstrating that electrostatic effects alone are not the major driving force regulating the nanoparticle-protein interaction. Remarkably, even differences in particle size of only 10 nm significantly determined the nanoparticle corona, although no clear correlation with particle surface volume, protein size, or charge was evident. Particle size quantitatively influenced the particle's decoration with 37% of all identified proteins, including (patho)biologically relevant candidates. We demonstrate the complexity of the plasma corona and its still unresolved physicochemical regulation, which need to be considered in nanobioscience in the future.

Understanding nanoparticle-protein interactions is a crucial issue in the development of targeted nanomaterial delivery. Besides unraveling the composition of the nanoparticle's protein coronas, distinct proteins thereof could control nanoparticle uptake into specific cell types. Here we differentially analyzed the protein corona composition on four polymeric differently functionalized nanoparticles by label-free quantitative mass spectrometry. Next, we correlated the relative abundance of identified proteins in the corona with enhanced or decreased cellular uptake of nanoparticles into human cancer and bone marrow stem cells to identify key candidates. Finally, we verified these candidate proteins by artificially decorating nanoparticles with individual proteins showing that nanoparticles precoated with the apolipoproteins ApoA4 or ApoC3 significantly decreased the cellular uptake, whereas precoating with ApoH increased the cellular uptake.