Concerns about the potential adverse health effects of engineered nanoparticles stems in part from the possibility that some materials display unique chemical and physical properties at nanoscales which could exacerbate their biological activity. However, studies that have assessed the effect of particle size across a comprehensive set of biological responses have not been reported. Using a macrophage cell model, we demonstrate that the ability of unopsonized amorphous silica particles to stimulate inflammatory protein secretion and induce macrophage cytotoxicity scales closely with the total administered particle surface area across a wide range of particle diameters (7-500 nm). Whole genome microarray analysis of the early gene expression changes induced by 10- and 500-nm particles showed that the magnitude of change for the majority of genes affected correlated more tightly with particle surface area than either particle mass or number. Gene expression changes that were particle size-specific were also identified. However, the overall biological processes represented by all gene expression changes were nearly identical, irrespective of particle diameter. Direct comparison of the cell processes represented in the 10- and 500-nm particle gene sets using gene set enrichment analysis revealed that among 1009 total biological processes, none were statistically enriched in one particle size group over the other. The key mechanisms involved in silica nanoparticle-mediated gene regulation and cytotoxicity have yet to be established. However, our results suggest that on an equivalent nominal surface area basis, common biological modes of action are expected for nano- and supranano-sized silica particles.

An attempt was made to obtain a high-level production of intact Acidothermus cellulolyticus endoglucanase (E1) in transgenic tobacco plants. The E1 expression was examined under the control of the constitutive and strong Mac promoter or light-inducible tomato Rubisco small sub-unit (RbcS-3C) promoter with its original or Alfalfa Mosaic Virus (AMV) RNA4 5'-untranslated leader (UTL) and targeted to different sub-cellular compartments via transit peptides. The transit peptides included native E1, endoplasmic reticulum, vacuole, apoplast, and chloroplast. E1 expression and its stability in transgenic plants were determined via E1 activity, protein immunoblotting, and RNA gel-blotting analyses. Effects of sub-cellular compartments on E1 production and its stability were determined in transgenic tobacco plants carrying one of six transgene expression vectors, where the E1 was under the control of Mac promoter, mannopine synthase transcription terminator, and one of the five transit peptides. Transgenic tobacco plants with an apoplastic transit peptide had the highest average E1 activity and protein accumulation, which was about 0.25% of total leaf soluble proteins estimated via E1 specific activity and protein gel blots. Intercellular fluid analyses confirmed that E1 signal peptide functioned properly in tobacco cells to secret E1 protein into the apoplast. By replacing RbcS-3C UTL with AMV RNA4 UTL E1 production was enhanced more than twofold, while it was less effective than the mannopine synthase UTL. It was observed that RbcS-3C promoter was more favorable for E1 expression in transgenic plants than the Mac promoter. E1 activity in dried tobacco seeds stored one year at room temperature was 45% higher than that observed immediately after harvesting, suggesting that E1 protein can be stored at room temperature for a long period. E1 stability in different sub-cellular compartments and the optimal combination of promoter, 5'-UTL, and sub-cellular compartmentation for heterologous protein production in transgenic plants are discussed.

To understand how integration of multiple data types can help decipher cellular responses at the systems level, we analyzed the mitogenic response of human mammary epithelial cells to epidermal growth factor (EGF) using whole genome microarrays, mass spectrometry-based proteomics and large-scale western blots with over 1000 antibodies. A time course analysis revealed significant differences in the expression of 3172 genes and 596 proteins, including protein phosphorylation changes measured by western blot. Integration of these disparate data types showed that each contributed qualitatively different components to the observed cell response to EGF and that varying degrees of concordance in gene expression and protein abundance measurements could be linked to specific biological processes. Networks inferred from individual data types were relatively limited, whereas networks derived from the integrated data recapitulated the known major cellular responses to EGF and exhibited more highly connected signaling nodes than networks derived from any individual dataset. While cell cycle regulatory pathways were altered as anticipated, we found the most robust response to mitogenic concentrations of EGF was induction of matrix metalloprotease cascades, highlighting the importance of the EGFR system as a regulator of the extracellular environment. These results demonstrate the value of integrating multiple levels of biological information to more accurately reconstruct networks of cellular response.

The regulation of extracellular signal-regulated kinase (ERK) oscillations in the context of wound healing and carcinogenesis have been investigated in premalignant and malignant JB6 mouse epidermal cells stimulated with basic fibroblast growth factor (bFGF) and 12-O-tetradecanoyl phorbol-13-acetate (TPA). In premalignant JB6 cells, bFGF stimulation (1) increases cellular phospho-ERK and phospho-c-Jun levels, (2) increases serum-dependent cell proliferation, (3) induces an apparent epithelial-to-mesenchymal transition, and (4) induces the persistent nuclear-cytosolic oscillation of an ERK1-green fluorescent protein (ERK1-GFP) chimera. In contrast, TPA induces persistent activation of ERK in the absence of oscillations and does not induce efficient migration. Treatment of malignant or transformed JB6 cells with bFGF is associated with a transient nuclear translocation of ERK1-GFP but not oscillations or efficient cell migration. Our data suggest that bFGF regulates ERK oscillations in premalignant but not malignant JB6 cells.