Carbon nanotubes (CNTs) have great potential in industrial, consumer, and mechanical applications, based partly on their unique structural, optical and electronic properties. CNTs are commonly oxidized or treated with surfactants to facilitate aqueous solution processing, and these CNT surface modifications also increase possible human and ecological exposures to nanoparticle-contaminated waters. To determine the exposure outcomes of oxidized and surfactant-wrapped multiwalled carbon nanotubes (MWCNTs) on biochemical processes, metabolomics based profiling of human liver cells (C3A) was utilized. Cells were exposed to 0, 10, or 100 ng/mL of MWCNTs for 24 and 48 hr. MWCNT particle size distribution, charge, and aggregation were monitored concurrently during exposures. Following MWCNT exposure, cellular metabolites were extracted, lyophilized, and buffered for 1H NMR analysis. Acquired spectra were subjected to both multivariate and univariate analysis to determine the consequences of nanotube exposure on the metabolite profile of C3A cells. Resulting scores plots illustrated temporal and dose-dependent metabolite responses to all MWCNTs tested. Loadings plots coupled with t-test filtered spectra identified metabolites of interest. XPS analysis revealed the presence of hydroxyl and carboxyl functionalities on both MWCNTs surfaces. Metal content analysis by ICP-AES indicated that the total mass concentration of the potentially toxic impurities in the exposure experiments were extremely low (i.e. [Ni] ≤ 2 × 10−10 g/mL). Preliminary data suggested that MWCNT exposure causes perturbations in biochemical processes involved in cellular oxidation as well as fluxes in amino acid metabolism and fatty acid synthesis. Dose-response trajectories were apparent and spectral peaks related to both dose and MWCNT dispersion methodologies were determined. Correlations of the significant changes in metabolites will help to identify potential biomarkers associated with carbonaceous nanoparticle exposure. This dataset is associated with the following publication: Henderson, M., D. Bouchard, X. Chang, S. Al-Abed, and Q. Teng. Biomarker analysis of liver cells exposed to surfactant-wrapped and oxidized multi-walled carbon nanotubes (MWCNTs). SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 565: 777–786, (2016).

Data. This dataset is associated with the following publication: Han, C., E. Sahle-Demessie, E. Varughese, and H. Shi. Polypropylene–MWCNT composite degradation, and release, detection and toxicity of MWCNTs during accelerated environmental aging. Environmental Science: Nano. RSC Publishing, Cambridge, UK, 6: 1876-1894, (2019).

The pictures in the power point file were taken using a confocal microscope with green and red filters which represent viable and dead bacteria cells, respectively. Additionally, we provided the detailed procedures of bacteria propagation and viability staining in a MS word file. The data may provide background/supporting information for other researchers who are planning to perform for microscopic bacteria viability assays. This dataset is associated with the following publication: Alvarez, N., R. Noga, S. Chae, G. Sorial, H. Ryu, and V. Shanov. Heatable carbon nanotube composite membranes for sustainable recovery from biofouling. Biofouling. Taylor & Francis Group, London, UK, 33(10): 847-854, (2017).

The pictures in the power point file were taken using a confocal microscope with green and red filters which represent viable and dead bacteria cells, respectively. Additionally, we provided the detailed procedures of bacteria propagation and viability staining in a MS word file. The data may provide background/supporting information for other researchers who are planning to perform for microscopic bacteria viability assays. This dataset is associated with the following publication: Alvarez, N., R. Noga, S. Chae, G. Sorial, H. Ryu, and V. Shanov. Heatable carbon nanotube composite membranes for sustainable recovery from biofouling. Biofouling. Taylor & Francis Group, London, UK, 33(10): 847-854, (2017).

Cell Painting is a high-throughput, phenotypic profiling assay that uses fluorescent cytochemistry o visualize a variety of organelles and high-content imaging to derive a large number of morphological features at the single cell level. Here, we used the Cell Painting assay to characterize the phenotypic effects of sixteen phenotypic reference chemicals in concentration- response screening mode across six biologically diverse human-derived cell lines (U-2 OS, MCF7, HepG2, A549, HTB-9, ARPE-19). All cell lines were labeled using the same cytochemistry protocol and the same set of phenotypic features were calculated. We found it necessary to optimize image acquisition settings and cell segmentation parameters for each cell type but did not adjust the cytochemistry protocol. For some reference chemicals, similar subsets of phenotypic features corresponding to a particular organelle were associated with the highest effect magnitudes in each affected cell type. Overall, for certain chemicals the Cell Painting assay yielded qualitatively similar biological activity profiles across a group of diverse, morphologically distinct human-derived cell lines without the requirement for cell-type specific optimization of cytochemistry protocols. This dataset is associated with the following publication: Willis, C., J. Nyffeler, and J. Harrill. Phenotypic Profiling of Reference Chemicals Across Biologically Diverse Cell Types Using the Cell Painting Assay. SLAS Discovery. SAGE Publications, THOUSAND OAKS, CA, USA, 25(7): 755-769, (2020).

Cell Painting is a high-throughput, phenotypic profiling assay that uses fluorescent cytochemistry o visualize a variety of organelles and high-content imaging to derive a large number of morphological features at the single cell level. Here, we used the Cell Painting assay to characterize the phenotypic effects of sixteen phenotypic reference chemicals in concentration- response screening mode across six biologically diverse human-derived cell lines (U-2 OS, MCF7, HepG2, A549, HTB-9, ARPE-19). All cell lines were labeled using the same cytochemistry protocol and the same set of phenotypic features were calculated. We found it necessary to optimize image acquisition settings and cell segmentation parameters for each cell type but did not adjust the cytochemistry protocol. For some reference chemicals, similar subsets of phenotypic features corresponding to a particular organelle were associated with the highest effect magnitudes in each affected cell type. Overall, for certain chemicals the Cell Painting assay yielded qualitatively similar biological activity profiles across a group of diverse, morphologically distinct human-derived cell lines without the requirement for cell-type specific optimization of cytochemistry protocols. This dataset is associated with the following publication: Willis, C., J. Nyffeler, and J. Harrill. Phenotypic Profiling of Reference Chemicals Across Biologically Diverse Cell Types Using the Cell Painting Assay. SLAS Discovery. SAGE Publications, THOUSAND OAKS, CA, USA, 25(7): 755-769, (2020).

Prioritization of environmental contaminants can be aided by detecting glucuronidated biotransformation products in fish using untargeted mass spectrometry-based metabolomics. This dataset is associated with the following publication: Evich, M., J. Mosley, I. Ntai, J. Cavallin, D. Villeneuve, G. Ankley, T. Collette, and D. Ekman. Untargeted MSn-Based Monitoring of Glucuronides in Fish: Screening Complex Mixtures for Contaminants with Biological Relevance.. ACS ES&T Water. American Chemical Society, Washington, DC, USA, 2(12): 2481–2490, (2022).

Prioritization of environmental contaminants can be aided by detecting glucuronidated biotransformation products in fish using untargeted mass spectrometry-based metabolomics. This dataset is associated with the following publication: Evich, M., J. Mosley, I. Ntai, J. Cavallin, D. Villeneuve, G. Ankley, T. Collette, and D. Ekman. Untargeted MSn-Based Monitoring of Glucuronides in Fish: Screening Complex Mixtures for Contaminants with Biological Relevance.. ACS ES&T Water. American Chemical Society, Washington, DC, USA, 2(12): 2481–2490, (2022).

The data set is a matrix of cellular biochemical (metabolites) in HepG2 cells treated with various metal oxide nanomaterials composed of CeO2, SiO2 and CuO. This dataset is associated with the following publication: Kitchin, K., S. Stirdivant, B. Robinette, B. Castellon, and X. Liang. Metabolomic effects of CeO2, SiO2 and CuO metal oxide nanomaterials on HepG2 cells. Particle and Fibre Toxicology. BioMed Central Ltd, London, UK, 14(50): 1-16, (2017).

The data set is a matrix of cellular biochemical (metabolites) in HepG2 cells treated with various metal oxide nanomaterials composed of CeO2, SiO2 and CuO. This dataset is associated with the following publication: Kitchin, K., S. Stirdivant, B. Robinette, B. Castellon, and X. Liang. Metabolomic effects of CeO2, SiO2 and CuO metal oxide nanomaterials on HepG2 cells. Particle and Fibre Toxicology. BioMed Central Ltd, London, UK, 14(50): 1-16, (2017).