Abstract
Background: Various applications of nanosubstances in industrial and consumer goods sectors are growing rapidly because of their useful chemical and physical properties.
Objectives: Assessment of hazard posed by exposure to nanosubstances is essential for the protection of human and ecological health.
Methods: We analyzed the proteomics patterns of Caco-2/HT29-MTX cells in co-culture exposed for three and twenty four hours to two kinds of nanoparticles: multi-walled carbon nanotubes (MWCNT) and TiO2 nanobelts (TiO2-NB). For each nanosubstance cells were exposed to two concentrations of the material before carrying out proteomics analyses: 10 μg and 100 μg. In each case over 3000 proteins were identified. A mathematically based similarity index, which measures the changes in abundances of cellular proteins that are highly affected by exposure to the nanosubstances, was used to characterize toxic effects of the nanomaterials.
Results: We identified 8 and 25 proteins, which are most highly affected by MWCNT and TiO2-NB, respectively. These proteins may be responsible for specific response of cells to the nanoparticles. Further 14 reported proteins are affected by either of the two nanoparticles and they are probably related to nonspecific toxic response of the cells.
Conclusion: The similarity methods proposed in this paper may be useful in the management and visualization of the large amount of data generated by proteomics technologies.
Keywords: Aspect ratio, big data, Caco cell, multi-walled carbon nanotubes (MWCNT), optical devices, photocatalyst, proteomics, superconductor materials, TiO2 nanobelts (TiO2-NB).
Graphical Abstract
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