Secreted Biomolecules Alter the Biological Identity and Cellular Interactions of Nanoparticles
Secreted Biomolecules Alter the Biological Identity and Cellular Interactions of Nanoparticles
复制标题
DOI：
10.1021/nn4061012
复制
发表时间：
2014-06-01
期刊：
影响因子：
17.1
通讯作者：
Chan, Warren C. W.
中科院分区：
文献类型：
--
作者：
Albanese, Alexandre;Walkey, Carl D.;Chan, Warren C. W.
纳米粒子与细胞接触时的物理和化学性质将决定随后的细胞反应。细胞外环境中蛋白质冠的聚集和形成将改变纳米颗粒的大小、形状和表面特性，使其具有不同于最初的“合成特性”的“生物特性”。纳米颗粒的生物学特性取决于周围生物环境的组成，并决定随后的细胞相互作用。在研究纳米颗粒-细胞相互作用时，以往的研究忽略了细胞外环境的动态组成，因为细胞在一个被称为“调节”的过程中消耗和分泌生物分子。在这里，我们发现细胞调节诱导金纳米颗粒聚集，并以一种取决于纳米颗粒直径、表面化学和细胞表型的方式改变蛋白质电晕组成。条件介质中生物特性的进化增强了纳米颗粒的细胞膜亲和性、吸收和保留。这些结果表明，动态的细胞外环境可以通过调节生物特性来改变纳米颗粒与细胞的相互作用。为了充分理解纳米生物相互作用，防止数据误读，必须考虑生物环境的动态性质对纳米颗粒生物学特性的影响。
A nanoparticle's physical and chemical properties at the time of cell contact will determine the ensuing cellular response. Aggregation and the formation of a protein corona in the extracellular environment will alter nano particle size, shape, and surface properties, giving it a "biological identity" that is distinct from its initial "synthetic identity". The biological identity of a nanoparticle depends on the composition of the surrounding biological environment and determines subsequent cellular interactions. When studying nanoparticle-cell interactions, previous studies have ignored the dynamic composition of the extracellular environment as cells deplete and secrete biomolecules in a process known as "conditioning". Here, we show that cell conditioning induces gold nanoparticle aggregation and changes the protein corona composition in a manner that depends on nanoparticle diameter, surface chemistry, and cell phenotype. The evolution of the biological identity in conditioned media enhances the cell membrane affinity, uptake, and retention of nanoparticles. These results show that dynamic extracellular environments can alter nanoparticle-cell interactions by modulating the biological identity. The effect of the dynamic nature of biological environments on the biological identity of nanoparticles must be considered to fully understand nano-bio interactions and prevent data misinterpretation.