Nano LC-MS Based Proteomic Analysis as a Predicting Approach to Study Cellular Responses of Carbon Nanotubes

Nano-bio interface has been paid much attention recently, though with the lack of methodology to predict the potential responses in biological systems such as cells induced by nanomaterials. In this study, we described a proteomic approach to investigate the proteome change in K562 cells exposed to oxidized single-walled carbon nanotubes (o-SWCNTs). 605 proteins were identified by semi-quantitative proteomic analysis (SQPA), including 29 significantly changed proteins with spectra count (SpC) ratios lager than 2 or less than 0.5. Three of them including HBA, CFL1 and LMAN2 were further validated by western blotting. The differential proteins were further classified by Ingenuity Pathways Analysis (IPA) to integrate them into a signaling network. Based on the information by this network, we predict that o-SWCNT treatment activated cell aggregation, decreased cell migration, but had no effect on cell death. And these cellular responses were further experimentally demonstrated. The protein signaling network established in this study would greatly benefit the studies on the bio-applications of o-SWCNTs and their toxicity studies. Our study demonstrated that proteomics could be used as a predicting tool to study nano-bio interface at cellular level.